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Aggregation-Induced Emission (AIE), Life and Health

Haoran Wang, Qiyao Li, Parvej Alam and 86 more

ACS Nano · 2023 · Review · CC BY

doi:10.1021/acsnano.3c03925

Abstract

Light has profoundly impacted modern medicine and healthcare, with numerous luminescent agents and imaging techniques currently being used to assess health and treat diseases. As an emerging concept in luminescence, aggregation-induced emission (AIE) has shown great potential in biological applications due to its advantages in terms of brightness, biocompatibility, photostability, and positive correlation with concentration. This review provides a comprehensive summary of AIE luminogens applied in imaging of biological structure and dynamic physiological processes, disease diagnosis and treatment, and detection and monitoring of specific analytes, followed by representative works. Discussions on critical issues and perspectives on future directions are also included. This review aims to stimulate the interest of researchers from different fields, including chemistry, biology, materials science, medicine, etc., thus promoting the development of AIE in the fields of life and health.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 25, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

Health is of fundamental and utmost importance for human beings to enjoy a high-quality life., In the pursuit of this goal, significant endeavors have been made to understand human bodies and explore the mysteries of life, even since ancient times. From the humoral theory of Hippocrates in Greece to Zhongjing Zhang’s Treatise on Cold Damage Diseases (Shanghan Lun) in China, people in different areas have established systems and put forward different theories to guide the advancement of healthcare., The constant pursuit of good health has also boosted the underlying fundamental and applied science. The beginning of modern biology can be dated back to the invention of the microscope, which revealed the previously unknown world of microorganisms, laying the groundwork for cell theory. Since then, our ability to observe and understand physiological processes at the cellular level (and below) has steadily improved. Imaging the biogenic species and physiological processes is the first step to recognizing, monitoring, and regulating healthcare and diseases in living beings. With the advancement of imaging techniques and high-level requirements, modern imaging modalities have been developed, e.g., computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), ultrasound, etc. While these modalities have greatly improved medical diagnosis and treatment, their limitations are becoming apparent and cannot be ignored. CT and PET scans expose patients to hazardous ionizing radiation, which can increase the risk of cancer. MRI and PET imaging systems are comparatively expensive, while ultrasound imaging suffers from limited spatial resolution and tissue penetration. Compared with these methods, fluorescence imaging, with the merits of high sensitivity and selectivity, noninvasiveness, real-time and on-site responsiveness, and ease of application, has become an increasingly popular and expedient tool for direct visualization of biological structures and processes.

Fluorescent agents, as the core of fluorescence imaging, have been developed for high-quality imaging, including organic dyes, conjugated polymer nanoparticles (NPs), semiconductor quantum dots (QDs), metal nanoclusters, up-conversion NPs, and fluorescent proteins.− Among them, organic dyes and NPs have attracted immense research interest due to their advantageous features including precise molecular structures, controllable biocompatibility, tunable spectral characteristics, and versatile modification strategies. Traditional organic fluorescent molecules with rigid and coplanar structures, such as pyrene, are excellent emitters in dilute solutions. However, they can suffer from aggregation-caused quenching (ACQ) at high concentrations or in the solid state., The ACQ effect, early reported by Forster and Kasper, is attributed to strong π–π interactions formed in the aggregate state, which result in nonradiative decay of the excited state., Since most organic materials have hydrophobic structures and tend to aggregate in an aqueous physiological environment, the ACQ effect has greatly limited their applications in biological systems.

In 2001, a fluorescent molecule, 1-methyl-1,2,3,4,5-pentaphenylsilole, with a helical propeller structure was reported to be almost nonemissive in dilute solutions, but exhibited strong emission in the aggregate state. This photophysical behavior has been termed aggregation-induced emission (AIE). After more than 20 years of development in the field of AIE, the working mechanism of restriction of intramolecular motion (RIM) has been established and well-recognized., RIM can lead to conformational rigidification, thereby suppressing nonradiative decay pathways, e.g., vibronic coupling, conical intersection, and photochemical reactions, thus contributing to the enhanced luminescence process.− The discovery and exploration of AIE has also greatly advanced the field of precision medicine and light-based healthcare., For fluorescence imaging, AIE luminogens (AIEgens) and their formed NPs are endowed with the inherent advantages of low background noise, fair photostability,− large Stokes shift,− biocompatibility,− high brightness,,− and deeper tissue penetration and higher spatial resolution., In particular, the tetraphenylethylene (TPE) skeleton is the most versatile AIEgene because it can be designed to have various desired functions by introducing functional groups or π-extensions.

With the deepening of our understanding of the RIM mechanism, it is found that some AIEgens can work as highly efficient photosensitizers (PSs) in photodynamic therapy (PDT). Upon light irradiation, these AIEgens can produce reactive oxygen species (ROS), which are highly toxic to cancer cells and pathogens., Traditional PSs with rigid and coplanar structures usually suffer from diminished ROS sensitizing efficiency at high concentrations or when encapsulated in NPs. In contrast, AIE-active PSs, with stronger emission in the aqueous medium, exhibit enhanced ROS generation capacity upon aggregation, endowing them with excellent PDT characteristics suitable for practical applications., Except for restriction of molecular motion, reasonable promotion and utilization of solid-state molecular motion could work as a guideline for designing photothermal and photoacoustic systems., Following the molecular motion-facilitated nonradiative decay effect, the molecule is pumped to the singlet excited state and then can return to the ground state via nonradiative decay, converting the absorbed light into invisible forms of energy, such as heat.− Thus, according to the Jablonski diagram, as shown in Scheme 1, when a molecule absorbs a photon and returns to the singlet excited state, there are three competitive pathways to release the excited-state energy and return to the ground state: (i) radiative decay referred to as fluorescence emission, (ii) intersystem crossing (ISC) transition from the singlet excited state to the lowest triplet state with the further release of energy through phosphorescence or transfer to oxygen to generate ROS, and (iii) nonradiative heat dissipation, which is desirable for photothermal therapy (PTT) and photoacoustic imaging (PAI). The balanced combination of the three excited-state energy dissipations in AIEgens could afford a versatile fluorescence imaging-guided phototheranostic system based on one single molecular species.− Besides, efforts to combine PDT with other therapies, such as immunotherapy, chemotherapy and gene therapy, which could improve disease treatment efficiency and overcome the limitations of individual therapies, are showing promising results in clinical studies.− Furthermore, being modified with different functional groups, AIEgens can be employed to capture analytes in biological systems., The intrinsic versatility of AIEgens enables fluorescence enhancement upon binding to their targets and differentiation of distinct biomolecular species upon binding.− Pathological processes, including protein aggregation and cell apoptosis, can be monitored as well.

Thanks to the persistent efforts and collaborative work of researchers around the globe, AIE has gained significant momentum and become an increasingly popular area (Scheme 2).Research trends and impact report on (Aggregation-Induced Emission) AIE, 2001–2021 released by Elsevier in 2022 indicated that the academic impact of AIE related to the terms “photothermotherapy”, “photodynamic therapy”, and “photosensitizer” was as high as 3.7 in terms of Field-Weighted Citation Impact. Moreover, AIE research in pharmacology, toxicology, pharmacy, environmental science, and medicine is gaining increasing attention. Undoubtedly, AIE has a significant impact on research and innovation in the fields of life science and health. In this review, the development of AIE for life and health is showcased in the following sections: imaging, diagnosis and treatment, and monitoring and detection. For each section, we will introduce and discuss these trends and progress, followed by presenting some representative research. A summary along with a discussion of current limitations, challenges, and opportunities will be provided at the end of this review.

Light up Life: See the Unseen

Fluorescence bioimaging is a sensitive, selective, and noninvasive method that has become a powerful tool in biological and pathological studies at the microscale. AIE has emerged as a promising approach for biological imaging, since it enables high-contrast imaging with low background noise, antiphotobleaching, and minimal toxicity. AIEgens are utilized to observe the refined structures of organelles or tissues and dynamic pathological processes such as deoxyribonucleic acid (DNA) aggregation, mitochondrial mitophagy, cell differentiation, apoptosis, drug/gene delivery, etc.− AIE-based bioimaging has thus become a critical tool for advancing our understanding of biological processes and thereby facilitating the development of diagnostic and therapeutic approaches.

In this section, we will introduce the achievements in bioimaging by AIEgens with respect to the various levels from subcellular organelles and tissues to live animals and pathogens, respectively. In addition to commonly used fluorescence imaging, recently developed techniques such as super-resolution imaging, two-/three-photon imaging, near-infrared imaging, and afterglow imaging will also be included.

Cell Imaging

Living systems are highly complex and precisely regulated with the fundamental functional unit being the cell. Subcellular organelles are essential components of cells, with various organelles found in eukaryotic cells. Each organelle plays a unique role in supporting normal cell functions, such as the cell membrane for cell recognition and signal transmission, mitochondria for energy generation, lipid droplets (LDs) for lipid storage and metabolism, lysosomes for macromolecule degradation, and the endoplasmic reticulum (ER) for protein synthesis and folding.− Studies have revealed that abnormal metabolic fluctuations within these subcellular organelles are highly associated with many severe diseases and disorders, including Alzheimer’s disease, fatty liver disease, and cancer.− Therefore, visualizing subcellular structures and dynamic biological activities within specific organelles is essential for understanding, unveiling their functions, and illustrating how they contribute to health and disease.

Static Structure Visualization

Imaging fine structures of biological specimens at scales ranging from the subcellular to tissue level is challenging. For most conventional probes, locally aggregated probe molecules suffer from a self-quenching effect, which is detrimental to achieving a high signal-to-background ratio. In contrast, probe aggregation is beneficial for fluorescent probes with AIE properties, which do not emit light in solution but fluoresce intensely upon binding to targets. TPEs and monomeric emitting AIEgens are particularly effective for imaging that requires noninvasiveness because they emit strongly only by adsorption to the target without aggregation of dyes.− The development of AIE-active fluorescent probes over the past decade has expanded the color palette, elevated the imaging performance, and increased the variety of AIE-active probes for investigating biological structures.

Mitochondria are the energy factories of the cell, participating in diverse interconnected biological processes, including ATP generation, nucleotide biosynthesis, fatty acid oxidation, cell differentiation, and signal transduction. Benefiting from the negative membrane potential of mitochondria, cationic and lipophilic molecules prefer to accumulate in mitochondria through electronic interactions. Based on this principle, a series of mitochondria-targeting AIEgens was developed., A red emissive AIEgen (TPE-Ph-In) was constructed by conjugating a TPE group with an indolium group. Due to its cationic and AIE features, TPE-Ph-In stained the mitochondria with high specificity and high photostability. Moreover, TPE-Ph-In was highly sensitive to the mitochondrial membrane potential, which allowed facilitated the monitoring of mouse sperm activity. Zhao et al. systematically investigated the side chain effect for the mitochondria targeting ability of TPE functionalized pyridiniums and selected TPEPy-3 with suitable side chain length to specifically image the mitochondria. By fixing a cyano-pyridinium unit as an electron withdrawing group and varying aromatic moieties as electron donating groups, symmetric full-color AIEgens were successfully developed, which could be applied to multicolor imaging of mitochondria.

The chromosome is one of the most important subcellular structures. Chromosome abnormalities, either numerical or structural, can cause severe genetic disorders. The analysis of chromosomes and related abnormalities, named cytogenetic analysis, is widely used for the diagnosis of cancers and genetic diseases. However, in cytogenetic studies, it is often challenging to separate touching and overlapping chromosomes, precisely localize the centromere position, and identify a clear landmark to map gene loci on the chromosome. In 2020, Chen’s group reported a small-molecule fluorescent probe, ID-IQ, for chromosome periphery staining and cytogenetic studies (Figure 1A). ID-IQ is AIE active and exhibits a large Stokes shift (138 nm). Costaining ID-IQ with the DNA stain confirmed that ID-IQ specifically labeled the sheath-like structure on the surface of mitotic chromosomes known as the chromosome periphery. ID-IQ staining clearly outlined the chromosome morphology and highlighted the long arm, the short arm, and the centromere position of chromosomes—the latter is a constricted region that plays a key role in distributing the cells’ DNA during division. The high specificity and excellent contrast of ID-IQ enabled the precise identification of chromosome morphology and facile segregation of overlapping and touching chromosomes (Figure 1B–1G). ID-IQ staining was compatible with fluorescence in situ hybridization (FISH), one of the most widely used standard techniques in cytogenetic studies. Costaining ID-IQ with the FISH probe can assist in precisely locating a gene on the chromosome with high accuracy (Figure 1H–1N). This AIE probe can help clinical cytogeneticists quickly identify the cytogenetic location and chromosomal abnormalities and may find clinical applications in chromosome periphery studies.

Gao et al. developed a series of photoactivatable LDs-specific probes based on dihydro-2-azafluorenones with different amine substituents, which could easily undergo photooxidative dehydrogenation reaction to afford aromatic 2-azafluorenones with AIE characteristics based on RIM and twisted intramolecular charge transfer (TICT) in the aggregate state (Figure 1O). Based on this dehydrogenation reaction, an excellent light-up enhancement of 265-fold was obtained for LDs-specific turn-on imaging in LDs-rich cancer cells. The colocalization experiments with lipid dye BODIPY493/503 Green verified the LDs-specific imaging ability of AIE-active 2-azafluorenones. Selective photoactivation for cancer cells could be achieved in a multicellular environment with an excellent photoactivation efficiency and high spatiotemporal resolution, which can also efficiently discriminate between lung cancer and normal cells based on the different expression levels of LDs. To avoid the potential interference of environmental light for the storage of photoactivatable probes, a strategy for in situ generation of photoactivatable AIE probes based on 2-(2-hydroxyphenyl)-benzothiazolines (DH-HBT) was proposed. The probe, can be quantitatively generated in situ from readily available disulfide and thiol substrates through tandem S–S bond reduction and an intramolecular cyclization reaction (Figure 1P). The generated DH-HBT could efficiently undergo a photooxidative dehydrogenation reaction to afford the AIE-active 2-hydroxyphenyl-benzothiazole (HBT) under one- or two-photon light irradiation, which can be used for substituent-controlled selective imaging of LDs and lysosomes with excellent spatiotemporal resolution. Based on their in situ generation and adjustable organelle-targeting ability, the photoactivatable DH-HBT probes are easy-to-use imaging tools for the evaluation of the biological functions of organelles.

Among the fluorescence microscopies that have been widely applied for visualizing subcellular structures, stimulated emission depletion (STED) nanoscopy has been demonstrated to break the optical diffraction limit (200 nm) and thus achieve the imaging of biological objects at the nanoscale.− Dang and co-workers developed several deep-red AIEgens with high brightness and excellent photostability. Red emission is highly desirable, as discussed in Section 2.3.1. These probes were eventually applied for organelle-specific imaging through STED nanoscopy., DTPA-BT-M with a symmetrical donor (D)-acceptor (A)-D architecture was developed in 2021. Due to the methoxy substitutions, an obvious bathochromic-shift absorption and red-shift emission occurred for DTPA-BT-M, then matching well the long-wavelength depleting beam of 775 nm in STED nanoscopy. Taking its large Stokes shift, high photoluminescence quantum yield (PLQY) and low biotoxicity into account, DTPA-BT-M was applied in STED nanoscopy for LDs-specific imaging. As shown in Figure 2A, after continuous scanning using a depletion laser, fluorescence signals of the commercial dye, BODIPY 493/503, were quickly quenched, whereas that of DTPA-BT-M remained unchanged, indicating its high photobleaching resistance in STED imaging. After incubating cells, only a slight decrease in diameter with minimally changed full width at half-maximum (FWHM) values observed for the LDs stained with BODIPY 493/503 under STED nanoscopy; however, the values for DTPA-BT-M changed from 370 to 95 nm. In addition, a D-A-typed AIEgen of DBTBT-4C8 was developed through the alkyl chain engineering strategy. In this case, an efficient intramolecular charge transfer (ICT) with a decreased π–π interaction was introduced. This resulted in the deep-red emission from 600 to 800 nm and high brightness with the absolute PLQY of 25% for DBTBT-4C8. Subsequently, DBTBT-4C8 was applied to prepare AIE NPs for the visualization of lysosomes in cells. Compared with conventional confocal microscopy (with a typical FWHM of ∼400 nm), superior resolution with a significantly decreased FWHM of 100 nm was achieved in lysosomes under STED mode. On the other hand, it is noteworthy that although several AIE NPs have been designed and applied for super-resolution imaging via STED nanoscopy, most of them are amorphous. This may still allow molecular motion to occur, which opens nonradiative channels., Therefore, to boost the fluorescence brightness for high-performance STED imaging, AIE nanocrystals (NCs) were developed. They possess more compact molecular stackings than their amorphous counterparts, thus leading to the desired optical properties, including deep-red emission with a PLQY value of 27.06%, an extinction coefficient of 13.1 × 103 M–1·cm–1 as well as high brightness of 3.54 × 103 M–1·cm–1. High photobleaching resistance and pH-stability were also observed in this case. Finally, DTPA-BT-F NCs were used for the super-resolution imaging of lysosomes (Figure 2B). As depicted, the imaging resolution for the cells stained with a commercial STED agent, Alexa Flour488-phalloidin, was only partly improved in STED mode, whereas in the case of DTPA-BT-F NCs, the FWHM significantly decreased from 548 to 107 nm (Figure 2C and 2D).

Dynamic Process Visualization

Observing dynamic processes within and between cells is essential for gaining a comprehensive understanding of the complex biological systems that underlie all living organisms. Cells are dynamic entities that constantly engage in a wide range of processes such as cell division, migration, and differentiation, as well as the regulation of gene expression, metabolism, and signal transduction. By monitoring these processes at the cellular level, researchers can gain insights into the underlying mechanisms that govern cellular behavior and identify effective therapeutic strategies.

Tunable organelle-specific imaging and their dynamic interplay on the nanometer scale are essential to studying biological behaviors. Dang et al. developed a cationic AIEgen DTPAP-P based on anion-π+ interactions. This provides cell status-dependent organelle targeting, enabling tunable organelle-specific imaging and dynamic tracking by a single AIEgen at ultrahigh resolution. A deep-red emission with excellent AIE features was observed for DTPAP-P, because of its twisted molecular structures and also the anion-π+ interactions here, which not only restrict the intramolecular motions but also prevent the strong π-π interactions. Afterward, mitochondria-specific imaging with a high Pearson’s correlation coefficient of 97% by costaining with MitoTracker Red was observed for DTPAP-P. In addition, a low saturation laser power value of 26 mW was also achieved using DTPAP-P, indicating the high depletion efficiency. For both fixed and live cells, DTPAP-P helped uncover the detailed structures of the mitochondria, providing high performance in STED imaging with a 6–7-fold increase in resolution. In addition, fission and fusion in mitochondria were clearly observed using the STED mode (Figure 3A and 3B). Interestingly, under light activation, a migration process appeared in fixed cells from mitochondria to nucleus. Time-dependent cell imaging was also recorded via STED nanoscopy (Figure 3C–3E). As illustrated, mitochondria-nucleus migration occurred when the irradiation time increased, resulting in the gradually enhanced emission in the nucleus until the migration was complete. These findings suggest that DTPAP-P can not only provide the detailed structures of organelles but also be used to further understand biological functions in cells.

The large amounts of substances required by cancer cells are predominantly obtained by phagocytosis, endocytosis, and micropinocytosis, which are delivered to lysosomes to generate nutrients through lysosomal degradation. Besides, the acidic surrounding of lysosomes could be used as a catalyst to activate the therapeutic effects of prodrugs., Taking advantage of the acidic environment of lysosomes, carboline alkaloids containing acid-activatable iridium complexes were developed. The protonation of the a carboline nitrogen atom could enhance the phosphorescence and 1O2 generation in tumor/lysosome-related acidic environments, which can be utilized to monitor lysosomal integrity (Figure 4A). With the help of the iridium complex in Figure 4B, the changes of lysosomal morphology during lysosome autophagy were monitored in real-time. Moreover, by introducing the commercial BODIPY unit into the metal rhenium complex, Mao’s group constructed an AIE-active complex for the environmental monitoring of the ER viscosity, and was used to evaluate changes in the ER viscosity during ER-to-lysosome-associated degradation (Figure 4C). By introducing a methylquinolin-1-ium group to the tripodal complex, a platinum complex with photoactivated lysosome-nucleus escape properties was designed. Mitochondria are biosynthetic, bioenergetic, and signaling organelles existing in almost all eukaryotic cells, and the state of them is closely related to tumorigenesis, tumor development, and tumor metastasis., A series of bis-N-heterocyclic carbene ligands containing positively charged iridium complexes show the capabilities of inducing and monitoring the morphological changes in mitochondria by initiating a cascade of events related to mitochondrial dysfunction (Figure 4D).

A photoactivatable probe THTTVP containing a photosensitive tetrahydropyridine moiety was developed to facilitate the in situ monitoring of organelle interplay. After cellular uptake, this polarity-sensitive THTTVP probe first selectively accumulated in lysosomes and displayed weak emission, attributed to its ICT properties. Under white light irradiation, the probe could escape from lysosomes. One part of the THTTVP selectively accumulated in hydrophobic LDs with a turn-on green fluorescence, while other parts could undergo photo-oxidative dehydrogenation reaction and accumulate in cytomembrane and mitochondria with a turn-on red fluorescence. The interplay between LDs and mitochondria under ROS-induced oxidative stress can be monitored in situ and long-term, with significant fluorescence spectral difference. This photoactivatable tandem organelle imaging strategy is promising for the study of organelle interplay in various physiological processes.

Tracking cellular trafficking of metal ions with subsequent cascading subcellular effects is also of great importance, assisting our understanding on metal homeostasis, regulation, toxicity, as well as detoxification in the biological systems. Wang et al. recently employed two AIEgens (AMBPA for Zn2+; CF4 for Cu+) and showed that different metals (Zn and Cu) exhibited contrasting cellular behavior and functions, despite the fact that these were considered to be chemically similar and essential. When entering cells, the first target of the Zn element was the lysosome, whereas Cu only initially targeted the mitochondria. The initial active participation of lysosomes partially explains the homeosis of Zn in cellular systems. Beyond the handling ability of lysosomes, there was a burst of Zn to other subcellular organelles such as mitochondria, disrupting cellular homeostasis and causing cellular toxicity. In contrast to Zn, there was time-dependent Cu toxicity since it first targeted the mitochondria. Such differential targeting of subcellular organelles subsequently resulted in a cell functional change. The mitochondria membrane potential was much more sensitive to Cu exposure, whereas the lysosomal pH was more sensitive to Zn exposure.

DNA is essential for every form of life, carrying genetic instructions for the development, functioning, growth, and reproduction of all known organisms and many viruses. DNA damage triggered by endogenous and exogenous factors can affect biological processes and cause many diseases.− Therefore, monitoring the state of DNA is important. To date, numerous fluorescent molecules have been deliberately designed to probe DNA-related activities, which can interact with DNA through electrostatic interactions, hydrophobic interactions, hydrogen bonding, or π-π stacking. Some of these molecules have been commercialized for nucleic acid binding and imaging, such as ethidium bromide, propidium iodide (PI), Hoechst 33258, and 4′,6-diamidino-2-phenylindole (DAPI).− However, PI and other traditional DNA probes face the problems of stability, photobleaching, and the ACQ effect, which greatly limits their applications in imaging and detection. In sharp contrast, AIEgens are more stable and resistant to photobleaching, and more favorably, and are able to boost fluorescence in the aggregate state or upon binding with DNA, hence attracting great attention for detecting and illuminating DNA.− An important feature of AIEgens is that their fluorescence signal can be turned on upon binding with DNA. With the increase in the concentration or the length of DNA, the fluorescence of AIEgens increases accordingly. Zhou’s group designed a derivative of p-phenylenediacetonitrile (FcPy) with pyridinium end groups, whose fluorescence was used to detect nucleic acids, including single-stranded DNA, double-stranded DNA, and ribonucleic acid (RNA). The increase in DNA sequence length led to an increase of the fluorescence of FcPy, given that a longer DNA sequence with more negative charges could attach more positively charged FcPy molecules through electrostatic interactions.

Recently, researchers developed a dual-functional AIEgen, TPCI, with high DNA binding affinity (Figure 5A). The dual functionality of TPCI comprises: (i) the efficient ablation of cancer cells and (ii) reporting the anticancer effects in real time from the start of therapy. Determined by isothermal titration calorimetry, the binding constant of the DNA to TPCI was 5.68 × 108 M –1, higher than most DNA intercalators. Before light irradiation, there was no TPCI fluorescence in the nuclei of the HeLa cells. However, after laser irradiation, the fluorescence was turned on (Figure 5B). TPCI could translocate across the nuclear membrane and bind to nucleic acids in the chromatin, leading to fluorescence in the nuclei. In addition, studies on two other multicationic analogs with a similar triphenylamine core structure as TPCI, indicated that increasing the number of cationic branches could enhance the binding affinity of the AIEgens to DNA. Based on the photoswitching activity upon binding with DNA, a ruthenium complex with the ability to induce nuclear DNA aggregation (phase separation) was constructed (Figure 5C). The process of nuclear DNA aggregation was induced and traced (Figure 5D and 5E). Meanwhile, it was found that changes in the aggregate state of DNA could directly affect chromatin accessibility and result in the gene expression chaos of tumor cells, which provided a perspective for tumor therapy through modulation of tumor related gene expression.

G-quadruplex DNA is a special structure composed of poly guanine sequenced DNA. The amount of G-quadruplex DNA is significantly increased in a variety of tumor cells, suggesting that G-quadruplex may be linked with cancer progression., By introducing the AIE-active triphenylamine skeleton into cisplatin analogues, a platinum complex with the ability to induce G-quadruplex DNA aggregation was constructed, providing a structural basis for understanding this aggregation process., The binding features between AIEgens and DNA can further be employed to diagnose certain diseases involving abnormal DNA, such as DNA methylation and single nucleotide polymorphisms.−

AIEgens also have great potential in visualizing cellular physiological activities, including apoptosis, autophagy, osteogenic differentiation, etc. Previous research demonstrated that the synergistic hydrophilicity and electric charge modulation could endow AIEgens with specific recognition properties. Therefore, it was rationalized that introduction of the electronegative oligo(ethylene glycol) side chains into the polymer P(TPE-2OEG) could reduce the nonspecific binding effect (Figure 6A). As shown in Figure 6B and 6C, good selectivity of P(TPE-2OEG) toward viable cells in the presence of dead and apoptotic ones was acquired, which benefited from the high molecular weight and synergistic effect and could not be realized by the related low-mass monomers. Furthermore, by the modification of the ethylenediaminetetraacetic acid (EDTA) moiety to the conjugated backbone, whose structure is shown in Figure 6D, the electronegativity of the side-chain was enhanced. Benefiting from the relatively intense binding ability with calcium ions (Ca2+), PTB-EDTA possessed high selectivity toward differentiated osteoblasts cells, which could not be realized by its monomer analog. Compared to the typical Alizarin Red S staining, the dynamic monitoring of the differentiation process could be observed by labeling with PTB-EDTA. Moreover, the sensitivity was much higher than that of the Alizarin Red S staining method by 7 days, which is highly desirable for related applications (Figure 6E and 6F). Taking advantage of the amino-yne click reaction, an intracellular polymerization was realized (Figure 6G). It was proved that the monomers alone could not light-up cells, while bright green fluorescence could be detected after the sequential incubation with the two monomers, realizing the turn-on imaging of HeLa cells (Figure 6H and 6I).

Nanoparticle-based drug delivery systems (NDDSs), as a powerful platform for the controlled delivery of cargoes to the target site, have attracted considerable attention in biomedical fields., For the delivery process, NDDSs should be able to (i) accumulate at the target site with prolonged circulation time after administration, (ii) attach to the cell membrane and enter the cell, and (iii) then undergo controlled release of the loaded cargoes under different stimuli-responsive mechanisms at the subcellular organelle.− Due to the high resolution and sensitivity, noninvasive fluorescent imaging is widely used as a first-line method for visualizing bio-nano interactions and dynamic transportation behavior.− Using a typical AIEgen TPE, the dynamic delivery and release process of two representative cargoes, small molecule drug doxorubicin (DOX) and nucleic acid, was spatiotemporally visualized. DOX was bound to the surface of the TPE NPs via electrostatic interactions, providing self-indicating TPE/DOX (TD) NPs. When internalized into cells, TD NPs were first wrapped into lysosomes, and then, DOX was released from the surface of the TPE NPs under the acid microenvironment of lysosomes. Then, the TPE NPs were transported into the cytosol, and the released DOX was sorted into the nucleus. Then, a double-quenched nanoprodrug system was constructed. TPE and DOX were linked together via a pH-responsive hydrazone bond, thus forming THyD NPs by reprecipitation. THyD NPs were nonemissive due to the fluorescence resonance energy transfer between TPE and DOX. When internalized into cells, THyD NPs were sorted into lysosomes. The fluorescence signal of TPE and DOX was recovered along with breakage of the hydrazone bond under the acidic conditions of the microenvironment. Thus, the fluorescence “turn-on” process represents the spatiotemporal release kinetics.

Apart from the wide applications in mammalian cells, AIEgens also exhibit great potential for studies plants. Microalgae offer scope to help secure food supplies by synthesizing numerous compounds with health benefits. Lipid composition in microalgae can alter from saturation to unsaturation at the later phases of lipid accumulation, therefore, strict temporal and spatial controls on cell harvesting are critical for maximal lipid yield. Facile detection of the microalgal strains and the phases of optimum lipid production can advance algal lipid research in labor and cost-effective manners. Over the past few years, several high-quality, biocompatible fluorophores with AIE properties have been developed for lipid research. Recently, an AIE-active triphenylamine derivative, TPA-A was used to label and sort the Chlorella vulgaris cells with high lipid content. In the aggregate state, TPA-A exhibited a strong green fluorescence and could easily avoid the red fluorescence of chloroplasts. Due to the AIE properties and photostability of TPA-A, long-term monitoring of the LDs and chloroplasts during the growth period of C. vulgaris was realized and enabled determination of the optimum lipid harvesting time. Moreover, a rapid and wash-free strategy to visualize the LDs has also been reported in morphologically distinctive microalgae, Euglena gracilis, without a cell wall, and Chlamydomonas reinhardtii, with a carbohydrates-based cell wall utilizing AIEgens, DPAS, and 2-DPAN, respectively., The hydrophobicity of benzophenone allowed these nanoprobes to strongly target and accumulate in LDs that are also hydrophobic in nature. Additionally, neither of the AIEgens interfered with the red channel of chlorophyll autofluorescence, meaning that they are promising as a multicolor visualizing tool for microalgae.

Tissue Imaging

While the subcellular structure and cellular processes can be studied by in vitro imaging, in situ and direct imaging of intact tissues isolated from animals or humans can be used to obtain more intrinsic and accurate information. Different from cells added and cultured externally in an artificial medium, the interaction and status of immobilized cells in the tissue are more complex. In addition, tissue specimens are often thicker with compact objects, which causes severe autofluorescence and scattering during fluorescent imaging. Guided by the RIM mechanism, the intramolecular motions of AIE probes are restricted under the formation of aggregates, which activates the radiative pathway and strong emission. This mechanism has endowed AIE probes with high signal-to-noise ratio, photostability and brightness after specifically binding to the subcellular structure or protein in tissues, therefore exhibiting great promise in the field of tissue imaging.

Chen’s group explored the potential application of an AIE probe in neuroimaging. They reported an AIE-active probe, named PM-ML, that showed significant fluorescence enhancement in the aggregate state or upon interacting with phospholipid bilayers (Figure 7A). Myelin is a biological structure composed of several layers of densely packed membranes that are wrapped around the axons (Figure 7B). It is particularly important for rapid nerve impulse propagation in axons of the central nervous system. PM-ML was rationally designed with a D-π-A structure and a nonplanar triphenylamine terminal unit as the basis for its AIE properties. PM-ML not only selectively binds to the myelin sheath in teased sciatic nerve fibers from the peripheral nervous system but also stained the myelinated fibers in mouse brain tissues (Figure 7C). PM-ML with a high signal-to-background ratio is superior to the commercial myelin stains Fluoromyelin Green and FluoroMyelin Red (Figure 7D–7F), which allowed neuroscientists to trace myelin fibers with PM-ML and to evaluate myelination in thick tissue slices. The application of PM-ML staining in assessing myelination for neuropathological studies was also demonstrated by using a mouse model with demyelination disease (Figure 7G).

Multiphoton fluorescence imaging has become another popular method for deep tissue visualization due to its advantages of longer-wavelength excitation and higher 3D resolution.− Tang et al. reported a bright two-photon AIEgen (TTS) with a D-A structure. Resulting from a high two-photon absorption cross section at 900 nm under laser irradiation, a much deeper penetration (>200 μm) and mild fluorescence loss were achieved by TTS dots in excised liver tissue, clearly exhibiting advantages over one photon fluorescence. In addition two-photon AIE molecules with D-A structures have been developed by researchers for tumor tissues,, fatty liver, and neurodegenerative diseases, with high resolution and deep tissue penetration, showing the broad application of this strategy. Besides AIE molecular probes, AIE NPs were synthesized by a simple nanoprecipitation method for ex vivo two-photon tissue imaging. Niu et al. developed a synthetic strategy to produce AIE-active acrylonitriles (2TPAT-AN and TPAT-AN-XF) by simply tuning the reaction temperature. Given the large two-photon absorption cross-section at 880 nm of up to 508 GM due to their D-A structure and extended π-conjugation, as well as strong two-photon fluorescence, the TPAT-AN NPs prepared by nanoprecipitation methods showed a high signal-to-noise ratio and high contrast, which was distinctly revealed by the reconstructed 3D images. Such AIE NPs show great potential in two-photon deep tissue bioimaging and the long-term dynamic tracking of tumor metastasis.

For the application of AIEgens in tissue imaging, the particle size is one of the key factors in their distribution within the body. Normally, large AIE nanodots have intense accumulation in organs, such as the liver and kidneys, after intravenous injection, which limits their usage for imaging specific tissues. To enhance tumor targeting and reduce the retention in the liver, Jiang et al. used a microfluidic chip to control the assembly of AIEgens and their particle sizes. Instead of the conventional stirring or vortexing methods, microfluidics provided ultrahigh mixing efficiency and precise regulation of different components., In the presence of the coating agent DSPE-PEG, sub-10 nm AIE QDs were synthesized in the rationally designed double spiral channel. Four kinds of AIEgens were tested as QDs and nanodots. The small-size AIE QDs showed increased cell uptake as compared to the large-size ones. Small-size QDs could evade the liver and target the tumor more efficiently than the larger-sized ones.

In Vivo Imaging

In vivo imaging techniques allow scientists to study and understand the dynamic and complex biological processes such as tumor growth, gene expression, and drug delivery in living animal models, with real-time, in situ and noninvasive characteristics., In addition, the applied experimental objects are closer to the actual condition, which can better simulate the physiological and pathological processes of the organism. Significant advancements have been made in in vivo imaging to overcome its current limitations by NIR, multiphoton and PAI equipment, which have expanded its applications and increased its potential for clinical translation.− Considering the successful demonstration of several rising examples for in vitro and ex vivo visualization, AIE probes are anticipated to offer good imaging performance in live animals.

Near-Infrared Imaging

With enhanced light penetration and lower background signals, near-infrared (NIR) imaging can offer improved performance when compared with traditional techniques at the shorter wavelength region.− Taking advantage of the AIE features and their long emission wavelength, NIR AIEgens can not only provide desirable photostability and enhanced fluorescence efficiency in aggregates but also exhibit reduced tissue scattering, enhanced penetration depth, diminished autofluorescence, and minimal photodamage to biological tissues.− A win-win cooperation could be achieved by combining NIR emission into luminogens with AIE characteristics, enabling better bioimaging quality and rapid development for biological applications.

Aiming to extend the emission wavelength of the AIEgens, the predominant molecular engineering strategy is focused on introducing large π-conjugated structures, strong electron-donating, and/or electron-accepting groups. When covalently linking quinoline-malononitrile (QM) with thiophene via a carbon-carbon double bond, the resulting QM-1’s emission wavelength peaked at only 612 nm (Figure 8A). After attaching a strong electron-donating alkoxytriphenylamine group to QM-1, the resulting QM-3 showed a longer emission at 705 nm. Furthermore, using the 3,4-ethylene-dioxythiophene (EDOT) unit produced QM-6, extending the emission to around 719 nm. Such structural modifications can not only tailor fluorescence wavelength, but also determine the morphology of the aggregates, as shown in Figure 8B. Further in vivo imaging demonstrated that rod-like QM-2 nanoaggregates displayed whole-body distribution, whereas spherical QM-5 nanoaggregates showed excellent tumor-targeting ability (Figure 8C and 8D). Furthermore, Zhu et al. introduced the flash nanoprecipitation (FNP) method to control the aggregation of AIE NPs.− As shown in Figure 8E, AIEgens and amphiphilic block copolymers were dissolved in a water-miscible organic solvent, and then the organic solvent was mixed with water in the mixing chamber. Subsequently, NPs were obtained with AIE molecules encapsulated. Through engineering parameters, including the flow rate and solvent ratio, this FNP method can regulate the size, shape, and orientation of AIE NPs. Thus, the FNP method is a promising platform to achieve the facile and scale-up manufacture of AIE NPs, especially with a narrow size distribution, tunable physical and chemical characteristics, and good batch-to-batch reproducibility.

Enhancing the emission intensity is important for further promotion of NIR imaging and detection in biological research and clinical applications. To afford higher PLQY in aqueous solutions, Liang et al. utilized EDOT as the donor unit to construct NIR-II fluorophores IR-FEP (Figure 9A). Such a rather bulky EDOT unit significantly increased the dihedral angle between the donor and the benzobisthiadiazole (BBTD) acceptor, when compared to IR-FT with thiophene as the donor (Figure 9B). Interestingly, the PLQY of PEGylated IR-FEP reached 2% in water, which was around 100-fold higher than that of IR-FTP. The bulkier donor can efficiently shield the BBTD acceptor, reducing the interaction with water molecules and thus improving the aqueous QY., Benefiting from the AIE effect, IR-FE powder showed stronger NIR-II emission than the ACQ molecule IR-FT. A series of NIR-II fluorophores with backbone distortion between donor and acceptor have also been developed, and they showed enhanced PLQYs in aqueous solutions, partially correlated with the AIE effect originating from backbone distortion., Poly(styrene-co-chloromethyl-styrene)-graft-poly(ethylene glycol) (PS-g-PEG) was used as an amphiphilic polymer to encapsulate IR-FE and afford a p-FE (Figure 9C). Under the excitation of a laser at 808 nm, p-FE showed a strong emission peaking at around 1010 nm with a high PLQY of 16.5% in water. So far, several bright NIR-II AIEgens have been developed, and they exhibit promising application prospects.− Owing to the high PLQY of p-FE, the exposure time could be reduced to 2 μs in the fluorescence brain imaging beyond 1100 nm, enabling real-time fast NIR-II imaging. One-photon 3D confocal imaging was also conducted on account of the high QY of p-FE. Clear distinguishability of the brain vessel depth from 221 to 1323 μm was demonstrated, and small vessels with a diameter of 5–7 μm could be clearly resolved (Figure 9D).

The in vivo optical imaging beyond 900 nm has been discovered to possess deeper penetration and higher resolution, compared with imaging in the 360–900 nm range.− The NIR-II (1000–1700 nm) window along with its subwindows including NIR-IIa (1300–1400 nm) and NIR-IIb (1500–1700 nm) window, endow optical molecular imaging with desired penetration depth and spatial-temporal resolution, which has attracted much attention.− Incorporating TPE or bulky modules into the backbone, NIR-II fluorophores can inherit AIE characteristics that not only minimize the quenching effect but also promote the overall fluorescence intensity and the emission tails wavelength moves into the NIR-IIa and NIR-IIb regions. The NIR-II AIE fluorophore, HLZ-BTED based on benzobisthiadiazole (BBTD) and TPE reported by Hong’s group was successfully used for blood vessels, long-term breast tumor, ischemia, the gastrointestinal (GI) tract, and intestinal obstruction NIR-II imaging (Figure 10A–10C). Very recently, a few highly twisted small-molecule NIR-IIb AIE imaging agents, such as HL3, HQL2, and HY4, have been used for NIR-IIb vascular imaging.− HL3 and HQL2 dots showed a increase in PLQY of ∼11.7% and ∼11.9% over 1000 nm and ∼0.05% and ∼0.02% over >1500 nm in aqueous solution, respectively. Notably, by utilizing the tail emission of HL3 and HQL2 at 1500 nm, NIR-IIb imaging of blood vessels, cerebral vasculature, lymphatic drainage, and U87MG-tumor angiogenesis was successfully achieved with near-zero background noise, high resolution, and a high signal-to-noise ratio. Using the NIR-IIb emissive AIE HY4 dots, Hong and co-workers achieved real-time feedback on the therapeutic efficacy of Chinese medicine Dengzhan Xixin injection on ischemic stroke, as shown in Figure 10D. Aiming to prolong the imaging window beyond 1500 nm, AIE dots with highly twisted structures were used to precisely image the mice brains in the NIR-IIb window.

Further, as an essential step toward deciphering life science, imaging targets have been expanded to nonhuman primates from mice/rats/rabbits. Herein, excretable and bright NIR-II AIE dots with emission tailing beyond 1500 nm have been developed. The NIR-II fluorescence microscopic monitoring through-thinned-skulls of nonhuman primates brain vessels using microscopic monitoring and the NIR-IIb fluorescence GI imaging was successfully achieved (Figure 11A and 11B). Centimeter-deep and three-photon fluorescence NIR-II vascular imaging in nonhuman primates has also been realized., Further, a series of quantitative approaches have been developed to assess the structural changes of deep vessels using biocompatible AIE dots. The morphological changes and organization remodeling of cortical blood vessels in marmosets during stroke have been fully and accurately analyzed.,

Afterglow luminescence is an optical phenomenon where some substances keep emitting the light after stopping their optical excitation. By means of this property, afterglow imaging exhibits many advantages when compared with traditional fluorescence imaging such as no background signal interference, ultrahigh sensitivity, no real-time excitation, etc.− To date, although there exist several kinds of afterglow materials such as rare-earth metal agents, semiconducting polymers, and small organic molecules, real applications including bioimaging in complex living contexts is still limited due to poor response to targets and weak emission in aqueous environments. Recently, Ding et al. conjugated an ONOO– responsive group to the enol ether precursor of Schaap’s 1,2-dioxetane. A similar nanoengineering strategy by using twisted AIEgen was employed to prepare an ONOO– and pH dual-responsive NIR afterglow nanoprobe with enhanced afterglow luminescence for the study of neutrophil-involved disease and antitumor drug screening. The process for preparing the nanoprobe is shown in Figure 12A, and the series of reactions that occurred within the nanoprobe are depicted in Figure 12B. Briefly, before use, the precursor of Schaap’s 1,2-dioxetane with a phenylborate moiety (compound AGL) needs to be oxidized to form compound 16 by singlet oxygen provided by the AIEgen (TPE-TV-CyP) under white light irradiation. Then, once exposed to ONOO– at physiological pH, the responsive group (phenylborate moiety) of compound 16 was removed to form compound 17, which then underwent decomposition and triggered chemiexcitation along with green light emission. Finally, the efficient energy transfer in the NP microenvironment resulted in the AIEgen emitting NIR luminescence without excitation. It is noteworthy that the responsive behavior was closely related to pH. Apart from the high selectivity toward ONOO– at pH 7.4, lower pH values induced weaker afterglow activation, indicating the ONOO– and pH dual-responsive nature of this nanoprobe. Inspired by its dual-responsive nature, the nanoprobe was used to explore acute skin inflammation, distinguish allergy and inflammation, and screen immunogenic cell death drugs. As displayed in Figure 12C, before and after inducing acute inflammation by LPS injection, the inflamed skin tissues of the mice were administrated with the nanoprobe dissolved in Milli-Q water in eight groups according to the predetermined time points. The afterglow activated for 10 min, which suggested the rapid recruitment of neutrophils accompanied by O– release. The dynamic profile of afterglow intensities at different time points revealed the combined influence of both ONOO– and pH changes on the progression of acute skin inflammation. To exclude the influence of pH on the response of the nanoprobe, the authors dissolved the nanoprobe in 5× PBS buffer and performed the same imaging experiments (Figure 12D). Interestingly, the maximum of the afterglow intensity appeared at 2 h instead of 0.5 h, suggesting that the ONOO– level reached a peak at 2 h. Therefore, using this nanoprobe, real-time monitoring of the progress of neutrophil infiltration along with ONOO– generation was realized. Furthermore, according to the large difference in neutrophil infiltration, the authors achieved a rapid in situ discrimination of allergy and inflammation using a mouse model for the two diseases (Figure 12E), saving much time and effort compared to conventional tissue analysis.

Image-Guided Surgery

The NIR-II imaging provides a suppressed imaging background, conducive to the precise surgery in the clinical settings. A pH-responsive AIE polymer, which could specifically accumulate at tumor sites, achieved NIR-IIa fluorescence image-guided cancer resection (Figure 13A).Figure 13B illustrates intraoperative observation of acute biliary injuries in rabbit models using NIR-IIb fluorescence of the AIE dots. Through surrounding subcutaneous adipose tissues, perimetric fat pad, muscle layer, etc., Zhang and co-workers performed NIR-IIb fluorescence hysterography and recorded the repair of the uterine rupture and the relief of the uterine obstruction with nonradioactive risks (Figure 13C). Recently, Lin and co-workers developed a synergistic optical navigation mode using both visible and NIR-II fluorescence of the hybrid AIE probes, which shortened the duration of image-guided surgery and could potentially provide a potentially translational strategy (Figure 13D). Besides, utilizing the NIR-II fluorescence for the precise diagnosis and effective treatments for inflammatory bowel diseases, a complete resection of severe inflammatory bowls and a secure surgical anastomosis was achieved. As an alternative to fluorescence image-guided surgery, afterglow imaging was has also been used in cancer surgery.

Pathogen Imaging

Microorganisms that exist everywhere are intimately associated with human life in all aspects. However, a large A large percentage of microorganisms are pathogens that can infect animals and plants and cause varying diseases. Increasing efforts have been devoted to acute and real-time imaging of pathogenic bacteria.− Since bacterial cytoplasmic membranes are negatively charged, positively charged species can target bacteria specifically owing to electrostatic interactions., Due to the turn-on fluorescence feature, AIEgens can be employed as promising tools for differentiating dead and living bacteria, long-term tracking of bacterial viability and evaluating bacterial susceptibility to antibiotics.− Bacteria can be divided into Gram-positive (G+) and Gram-negative (G–) subtypes, which is associated with differences in the cell wall structure and components. Considering the different roles and threats of varying types of bacteria, it is desirable to rapidly discriminate bacteria and further provide valuable information assisting the choice of appropriate antibacterial agents for accurate and efficient bacterial eradication.− A series of AIEgens with orderly enhanced D-A strength were developed for the discriminative imaging of Gram+ bacteria. As an alternative to electrostatic interactions, hydrogen-bonding interactions were used in targeting bacteria.

Aside from pathogenic bacteria, fungi and viruses can also cause serious illnesses. Fungi can proliferate rapidly under favorable environmental conditions, and they can even survive in extreme conditions. While many types of fungi are harmless, some species can cause serious infections in humans, particularly in people with weakened immune systems. Various AIEgens have been developed for fungal imaging and detections., Tang’s group has reported a method for visually discriminating between G+ bacteria, G– bacteria, and fungi. They used an AIE-active probe with TICT properties that could locate in different sites of the three pathogens, displaying three discernible emission colors. G– bacteria appeared as weak pink, G+ bacteria appeared as orange-red, and fungi appeared as bright yellow. Further, a water-soluble AIEgen, named DPASI, was represented as a promising approach for accurate and efficient fungal viability detection. DPASI could diffuse into dead fungi with an impaired cell wall and membrane, where it bound with mitochondria, giving a yellow emission. In contrast, DPASI cannot enter live fungi due to their intact cell walls and membranes, making it a reliable tool for distinguishing between live and dead fungi. The imaging and detection on viruses are discussed in Section 4.2.

To provide a clear overview of the AIEgens in Section 2, we have summarized their compound names and structures, applications and advantages, imaging modes, and references in Table 1.

Combat Diseases: Cancer Theranostics and Bacterial Elimination

Health has always been of critical global concern, as human beings have been battling various diseases since the inception of human civilization. With the development of modern society, diseases have increasingly raised medical and public concerns since they affect most people worldwide. Effective diagnosis and treatment of diseases are essential for protecting and improving public health and societal well-being.

As a global disease, cancer represents an ever present and increasing threat to the health of human beings because of an increasing morbidity rate, relapse rate, and low survival rate. There was an estimated 19.3 million new confirmed cancer cases and approximately 10 million deaths globally in 2020. The rate of cancer-related diseases is rising every year, with an estimated annual death of more than 13 million people by 2030. Thus, the diagnosis and treatment of cancer is of critical concern and has received enormous attention in life science and clinical research.− Currently, the main methods of clinical treatment for tumors include surgery, chemotherapy, and radiotherapy. However, these treatments can cause side effects, such as systemic toxicity, unavoidable invasiveness, and a high risk of relapse. Therefore, the development of effective technologies for cancer diagnosis and therapy remains an urgent and challenging task.

Bacterial infections, another type of prevalent diseases, have seriously threatened human health and affected millions of people worldwide.− Since the discovery and popularization of penicillin in 1928, the widespread use of antibiotics has greatly reduced the high mortality caused by bacterial infection and temporarily ended the end of infectious diseases. Unfortunately, the increasing abuse and misuse of antibiotics has led to the development of antibiotic resistance in some bacteria, forcing us back into the battlefield by restarting the fight against bacterial infections. Consequently, alternative therapeutic strategies with high specificity and efficient antibacterial activity are urgently needed.,

In comparison with traditional fluorescent materials with the ACQ effect, luminescent molecules with the AIE effect have been successfully demonstrated to exhibit significant potential in cancer therapy and bacterial elimination.− In this section, representative research involving powerful AIEgens are cataloged by their biofunctional effects, ranging from diagnosis to treatment. For cancer therapy, PDT and combined therapy are discussed in sequence. For bacterial elimination, the tracking and killing of extracellular and intracellular bacteria are introduced sequentially.

Cancer Theranostics

Despite significant breakthroughs in cancer therapy over the past few decades, effective diagnosis and subsequent therapeutic interventions remain challenging.− Compared with traditional treatment methods, phototheranostics, emerging as a promising pattern of cancer therapy, integrates photoinduced diagnostic imaging and concurrent in situ therapy into a single formulation with the merits of high spatiotemporal precision and noninvasiveness.− The working mechanism behind phototheranostics is that a fluorophore transfers the absorbed photon energy into different forms of energy for disease diagnosis and therapy. On the one hand, when the absorbed photon energy of molecules relaxes through a radiative pathway, the generated fluorescence signal could be used for diagnostic fluorescence imaging with the merits of high sensitivity, real-time tracking ability, high spatiotemporal resolution, and noninvasiveness. As we already considered above, compared to the shorter wavelength region, fluorescence imaging in the NIR region has attracted great attention in biomedical research owing to its deeper tissue penetration, lower tissue autofluorescence interference, and less photodamage. On the other hand, the absorbed photon energy of molecules can also be used for generating ROS and heat, leading to PDT and PTT modalities, respectively, toward cancer treatment with the advantages of precise manipulation, high selectivity, noninvasiveness, and negligible drug resistance., Besides, the generation of heat can simultaneously produce acoustic waves that can be applied to PAI for diagnosis with an even deeper tissue penetration depth and a higher signal-to-noise ratio than fluorescence imaging., Nevertheless, these photophysical energy dissipation processes compete with each other, since energy should be conserved. Therefore, to meet practical demands, the rational design of AIE phototheranostic systems and manipulating their absorbed photon energy dissipation for generating fluorescence for imaging, ROS for PDT and heat for PAI/PTT according to practical demand are important and will be discussed.

PDT

PDT involves the use of PS, light, and molecular oxygen to kill cancer cells.− When a PS is excited with light, electrons are pumped to higher-energy orbitals from the singlet ground state and then subsequently relax to its lowest excited singlet state (S1) according to Kasha’s rule., A suitable small energy gap between S1 and excited triplet state (T1) results in S1→T1 ISC. Afterward, the energy of the PS in long-lived T1 state will be transferred to adjacent molecular oxygen (3O2), producing highly reactive and toxic singlet oxygen (1O2) through a type II reaction. Besides, a PS in long-lived T1 state can also participate in the formation of superoxide (O2• –) or hydroperoxyl radicals (HO2•) through transferring electrons to cellular substrates through a type I reaction.− Different kinds of ROS and radicals generated by those two types of photochemical reactions can kill cancer cells in a PDT therapeutic manner.− Selective and efficient PDT can also be realized by precisely manipulating the light irradiation area, which is an effective way to minimize side effects to healthy tissues. Besides, PDT exhibits several other merits such as noninvasiveness, few side effects, negligible drug resistance and low systemic toxicity, all of which has motivated scientists to work on PDT as a therapeutic modality for disease treatment., As one of the key elements in PDT, various PSs such as porphyrin, chlorin, phthalocyanine, squaraine, BODIPY derivatives, and transition metal complexes have been explored so far to date.− The development of PSs with a superior organelle targeting capability can help to realize precision PDT toward cancer treatment., However, most of the existing PSs are still far from the ideal, they should possess characteristics including strong absorption at long wavelengths, efficient photosensitization, negligible dark toxicity, and good photostability and biocompatibility., In addition, these conventional PSs often possess a rigid planar π-conjugated structure and are prone to aggregate in aqueous media, resulting in significantly decreased photosensitization behavior and emission, which is another critical obstacle for conventional PSs in PDT applications., In this regard, the discovery and development of PSs with AIE characteristics presents a promising alternative approach.− Herein, the application of AIE PSs in organelle targeted PDT and PDT-induced treatment will be discussed.

Organelle-Targeted PDT

As one of the most indispensable subcellular organelles, mitochondria are considered as a critical target for cancer therapy since mitochondria-targeted therapy can directly suppress the energy supply for cells and magnify the therapeutic effect., BODIPY dyes are widely used in bioimaging and tumor treatment by virtue of several advantages such as high molar absorption coefficients, high photostability, and ease of modification.− In the field of PDT, many elegant PS have been designed to increase ISC through the introduction of heavy halogen atoms (notably bromine and iodine). Although they exhibit great potential for clinical transformation in the evaluation of antitumor effects, shortcomings include low fluorescence and dark toxicity, which hinders their further biological application. Therefore, the rational construction of heavy-atom-free BODIPY PSs is highly desirable. Inspired by the spin-orbit charge transfer ISC mechanism, Yoon’s group designed a series of BODIPY dyes with twisted D-A/D-A-D skeletons by tuning the section of electron donors, including carbazole, diphenylamine, phenothiazine, and phenoxazine (Figure 14A). Combined with DFT calculations, their study revealed that the electron donor (phenoxazine) and twisted molecular structure synergistically enabled BDP-5 with an ΔEST as low as 0.44 eV, which demonstrated the concept of reducing the ΔEST of BODIPY dyes for imaging-guided PDT. BDP-5 was AIE-active and showed a good ability to produce ROS under light irradiation. Utilizing Pluronic F127 as the encapsulation medium, BDP-5 NPs were obtained, able to effectively kill tumors in mice (Figure 14B). The regulation of molecular structures not only affects their aggregation and cellular localization, but also significantly affects the therapeutic effect on tumors. In 2021, Yoon and Peng proposed a molecular design approach to obtain a mitochondrial-targeted amphiphilic AIEgen TPA-S-TPP with NIR fluorescence of 737 nm, by balancing the lipophilic and hydrophilic moiety (Figure 14C). The smart AIEgen TPA-S-TPP displayed a “fluorescence-off” state before locating in the mitochondria of cancer cells and anchored firmly in the mitochondria with intense fluorescence. In contrast to commercial mitochondria dyes, AIEgen TPA-S-TPP overcame the long-term dependence on the mitochondrial membrane potential (ΔΨm), effectively avoiding its spillover from the mitochondria. Upon white light irradiation, AIEgen TPA-S-TPP generated a high dose of 1O2 in the mitochondria of cancer cells, resulting in a decrease of the ΔΨm and release of cytochrome c, which activated the caspase-3 activity and induced apoptosis. Due to its good biocompatibility, tumor growth in mice were efficiently inhibited after treatment with AIEgen TPA-S-TPP. This successful example provides a direction for the construction of improved amphiphilic AIE theranostic agents for the treatment of tumors.

The Golgi apparatus (GA) plays important roles in various physiological processes, and dysfunction of the GA is related to severe illnesses such as Alzheimer’s disease and Parkinson’s disease. AIEgen-based PSs with high ROS generation rates and efficient GA targeting abilities could cause severe damage to the GA and effectively kill tumor cells. Chen and co-workers reported a series of AIEgen-based PSs with an excellent GA targeting ability (Pearson correlation coefficient up to 0.98) and high 1O2 generation efficiency (Figure 15). Modification using a polar −CN group enhanced the intermolecular interactions and facilitated the formation of rod-like NPs with 200–400 nm size, which specifically accumulated in the GA via caveolin/raft mediated endocytosis. Meanwhile, the introduction of a pyrene group into the D-π-A scaffold helped separation of the electron cloud distribution of the highest occupied and lowest unoccupied molecular orbitals (HOMO and LUMO), which led to a further decrease of ΔEST and a higher 1O2 generation rate. The cleavage of major GA proteins (p115/GM130) and fragmentation of GA structure were observed during PDT. Additionally, the C-terminal of p115 translocated into the nucleus and caused a distinct loss of mitochondrial membrane potential and a dramatic inhibition of ATP synthesis, which activated the apoptotic pathway in HeLa cells. The GA-targeting AIEgens exhibited effective suppression of tumor growth in vivo through PDT with no obvious side effects. Importantly, with a similar ROS generation rate, TPE-T-CPS (GA-targeting) showed higher tumor inhibition efficiency than TPE-PyT-PS (non-GA-targeting). This work represents a typical example of GA-targeting PSs based on AIEgens, which provides a strategy for precise and effective PDT.

Coinage metal clusters of Au, Ag, and Cu with a precisely defined number of constituting atoms, which can be considered as an intermediate state between discrete metal atoms and plasmonic NPs, offer small size (I the range of 1–3 nm) and compositional homogeneity similar to that of well-defined molecules.− Their properties, such as the ultrasmall size, biocompatibility, low cytotoxicity, large Stokes shift, and NIR emission, have made metal clusters a particularly attractive category of luminescent materials., Importantly, these nanoclusters also experience the AIE effect able to significantly enhance their PLQY in the aggregate and solid states. Due to their atomic precision, coinage metal clusters can provide an ideal platform at the nanoscale for understanding the precise interaction mechanisms with cells and biomolecules., In 2020, Zang’s group reported an enantiomeric pair of propeller-like trinuclear AIE-active copper clusters [Cu3(R/S-BINAP)3CO3]+(tBuSO3) (denoted as R/S-Cu3) by using (R)- or (S)-2,2-bis(diphenylphosphino)-1,1-binaphthyl (R-BINAP or S-BINAP) as ligands. They displayed variable emission wavelengths after UV light irradiation, which was caused by the gradual stepwise oxidation of ligands in these clusters. Furthermore, based on the capability for producing ROS, these clusters were successfully used for lysosome-targeted PDT. Subsequently, Zang’s group reported a series of AIE-active copper clusters exhibiting intense color-tunable emissions in an oxygen-free environment or in the aggregated state. Employing the O2 scavenger dimethyl sulfoxide as the solvent, joint photo- and oxygen-controlled multicolor switches were realized. In this study, an aggregation-induced barrier to oxygen, an AIE mechanism for metal clusters was proposed. Moreover, imaging-guided potential PDT was realized due to the combination of the AIE effects and photoinduced 1O2 production characteristics of the copper clusters.

PDT-Induced Treatment

Ferroptosis is a newly defined modality of regulated cell death caused by plasma membrane lipid peroxidation in an iron-dependent manner. Since the discovery of ferroptosis, many physiological and pathological processes undergo ferroptosis, such as CD8+ T cell-mediated immune attack, cardiovascular diseases, brain diseases, aging processes, etc. Therefore, understanding the mechanism and action of ferroptosis during these biological contexts might bring us perspectives for disease diagnosis and treatment.

In addition to exploring the cellular dynamics of ferroptosis, AIEgens are very promising for improving ferroptosis-based cancer therapy. One efficient way to induce ferroptosis is triggering the Fenton reaction between iron and hydrogen peroxide in cells. The generated hydroxyl radicals can convert the unsaturated lipids to peroxidized lipids, which finally contribute to cell death. Based on this consequence, Tang et al. designed and prepared an AIE nanohybrid PS based on vermiculite nanosheets for ferroptosis-integrated photodynamic cancer therapy (Figure 16A). First, the nanosheet was fabricated by lithium-ion intercalation with potting soil vermiculite that contains Fe2O3, which can produce oxygen and promote the Fenton reaction to generate hydroxyl radicals by a series of catalytic reactions in the tumor microenvironment. Then, AIEgens were added to the surface of the as-prepared nanosheet by electrostatic attractions to facilitate enhanced photodynamic cancer treatment by virtue of self-generated oxygen. The antitumor experiments and the analysis of the levels of GPX4 and intracellular iron confirmed the benefits and efficiency to amplify ferroptotic cancer cell death using the combined AIEgen-based system for cancer therapy. Apart from combination with reagents that induce the Fenton reaction to enhance ferroptotic cell death, AIEgens can also trigger specific organelle oxidative stress to sensitize cancer cells to GPX4 inhibitors through an amplified ferroptosis pathway. Recently, a mitochondria-targeting AIE PS (TCSVP), capable of producing ROS efficiently under light irradiation after accumulating within mitochondria, was reported. Interestingly, the mitochondrial oxidative stress caused by TCSVP after light irradiation was sublethal to the cancer cells but could strongly stimulate the ferroptotic cell death when coadministered with RSL3, a GPX4 inhibitor also in a sublethal dose (Figure 16B). Further detailed studies of lipid peroxidation, GPX4 activity, and intracellular ferrous ion after combined administration of TCSVP and RSL3 confirmed the significant amplification of the ferroptotic cell death pathway (Figure 16C–16F). Besides, the rescue experiments using various cell death inhibitors shown in Figure 16D indicated that the combined killing effect on cancer cells by the two sublethal treatments is mediated by the ferroptosis pathway instead of by apoptosis or necrosis, which clearly illustrates the importance of AIE PSs in ferroptosis cancer therapy.

Immunogenic cell death (ICD) is a type of apoptosis accompanied by the release of damage-associated molecular patterns, such as outer-membrane-located calreticulin, high mobility group protein B1 (HMGB1), and heat shock protein70 (HSP70). These agents could further stimulate the antigen presentation by dendritic cells to T cells and activate a systematic antitumor immune attack, greatly contributing to the suppression of tumor growth or recurrence for a long time after stopping treatment. Because of the strong immunogenicity of dying cancer cells undergoing the ICD process, ICD induction has served as a promising method to convert an immunologically cold tumors that lacks T cell infiltration into a hot tumors with large infiltration of T cells, which makes the tumor more sensitive to immunotherapy. PDT is an efficient approach to induce ICD for antitumor immunotherapy.,

In 2019, Ding et al. reported that mitochondrial oxidative stress caused by an AIE PS can efficiently induce ICD. They designed an AIE PS named TPE-DPA-TCyP exhibiting a twisted molecular skeleton with a typical D-π-A structure and a positive charge that conferred the AIE PS with a mitochondrial targeting ability. When TPE-DPA-TCyP was dissolved in PBS, excited-state energy was released by nonradiative decay, leading to a very weak emission. After binding to lipid vesicles (mimicking the mitochondria outer membrane) by charge attraction, intramolecular motion and the TICT process were restricted, resulting in a blue-shifted turn-on fluorescence emission. With the specific targeting and lighting ability to mitochondria, the ROS generation efficiently caused mitochondrial oxidative stress and further induced immunogenic cancer cell death, which was determined by the key markers of ICD such as ecto-calreticulin, ATP and HMGB1 (Figure 17A–17D). Furthermore, a prophylactic tumor vaccination experiment was performed to affirm the ICD effect induced by TPE-DPA-CyP (Figure 17E). Since, this work determined the relationship between mitochondrial oxidative stress and ICD.

In addition to mitochondrial stress, other organelle-related stresses have also attracted extensive attention for effectively inducing ICD. ER-targeting AIE probes were synthesized for highly efficient ICD induction. The probes were constructed by covalently coupling a TPE-based AIE PS and an ER-targeting peptide. After demonstrating the ER-targeting ability and ER-stress induction at the cellular level, the authors further confirmed the ICD effects induced by the probes using a vaccine experiment in vivo, showing better ICD induction than that of hypericin-based PDT (a widely recognized ER-targeting ICD inducer) under the same conditions. Furthermore, in 2021, Ding et al. reported a lysosomal membrane permeabilization inducer can be serve as an efficient ICD inducer and convert immunologically cold tumors into hot ones.

Combined Therapy

Currently, various cancer treatments, such as PDT, chemotherapy, radiotherapy, PTT, immunotherapy, etc., have exhibited high anticancer efficacy in laboratory research or clinical practice with great success in suppressing tumor proliferation.,, However, very often a single treatment modality cannot completely eliminate the whole tumor, and it may be ineffective in preventing cancer metastasis, which is attributed to the complexity, diversity, and heterogeneity of tumors., To overcome these obstacles of monotherapy, combined therapy, referring to the integration of two or more forms of treatment, has been proposed as an alternative approach to cancer therapy.− Indeed, multimodal synergistic therapy can produce “superadditive” effects through cooperative interactions and enhancement among several types of monotherapies, resulting in a stronger therapeutic effect when compared to a single therapy., Therefore, the current cancer treatment trend has gradually shifted from monotherapy to multimodal treatment for enhanced treatment efficacy.,− Most of the multimodal phototherapeutic agents, such as inorganic materials and all-in-one materials, have been developed by integrating different functional components into a nanoplatform. Although these materials can partially satisfy multimodal diagnosis and therapy, there are still some problems such as complexity of the components, low reproducibility, difficulty in processability, and undesired ACQ effects. In this regard, organic AIEgens could be powerful candidates for combined therapy by virtue of their well-defined chemical/molecular structures, simple preparation, good reproducibility, ease of processability, and high brightness.

NIR-Guided Phototheranostics

Phototheranostics, which integrates optical imaging diagnostics and phototriggered precision therapeutics, is a rapidly developing area of biotechnology. As the kernel of phototheranostic systems, the development of high-performance phototheranostic agents is crucial to the progress of phototheranostic research., NIR-II AIEgens-guided phototheranostics has attracted enormous attention for precise cancer treatment by virtue of a real-time diagnosis and concurrent in situ therapy upon light irradiation.

Rational molecular design and facile synthetic strategies are required to tune the emission wavelength of AIEgens to the NIR-II region because most NIR-II AIEgens are constructed by enhancing the D-A effect.− By integrating D-A enhanced and extending π-conjugation into a propeller-shaped molecule, a series of NIR-emissive zwitterionic AIEgens (ITB, ITT, BITB, and BITT) were obtained (Figure 18A). Interestingly, the target molecule BITT not only exhibits strong NIR-II emission due to enhanced high D-A strength and twisted rotor structure but also provides a satisfactory ROS generation capability and high photothermal conversion efficiency (PCE) for synergistic PDT-PTT phototherapy (Figure 18B). This study thus provided a groundbreaking tactic for constructing multimodal AIE phototheranostic systems using a single molecular species via combining various imaging technologies with different therapeutic methods. Accordingly, one-for-all phototheranostics, enabling simultaneous multimodal imaging and synergistic phototherapy, have been realized achieve the optimum use of dissipated energy by ingeniously regulating the balance between radiative and nonradiative decays. As illustrated in Figure 18C, three AIE compounds (TI, TSI, and TSSI) were designed with the 1,3-bis(dicyanomethylidene)indane moiety serving as a strong electronic acceptor and vibrator. Owing to the advantages of extended D–A strength, twisted conformation, intramolecular motion, and vibration in the aggregate state, the TSSI NPs balanced the energy dissipations between radiative and nonradiative decay and then provided efficient ROS generation and high PCE (46.0%) simultaneously as well as bright fluorescence in the NIR-II window. PDT-PTT synergistic therapy was realized after injection of TSSI NPs, resulting in precise tumor diagnosis and complete tumor elimination after a single irradiation. Inspired by the powerful all-round phototheranostic agent based on a single AIEgen, other AIE theranostic agents with one-for-all features were also developed to further facilitate precise cancer diagnosis and treatment. Owing to the small ΔEST caused by high D-A strengths, rotor-like twisted and charged structures, extraordinary photosensitizing properties were realized for trimodal image-guided PDT-PTT therapy with a single phototheranostic agent (TTT-4 dots), allowing intense NIR emission, high ROS generation performances, and high PCE (39.9%). For pancreatic cancer, known as the king of cancers, an AIE-active one-for-all phototheranostic agent (DCTBT NPs) has been developed for high-quality diagnosis and synergistic phototherapy, including NIR-II fluorescence imaging, type-I PDT, and PTT functions. Stable NIR-II AIEgens with balanced phototheranostic performances were also obtained by implementing precise D/π-bridge manipulation. As shown in Figure 18D, the conjugation length and distorted backbone were both enlarged by employing electron-rich benzo[c]thiophene as the bulky D/π-bridge, bringing about a favorable design principle for D-π-A-π-D type NIR-II AIEgens (DPBTA-DPTQ). Benefiting from the acceptable NIR-II PLQY (0.45%) and notable PCE (40.6%), multimodal imaging was achieved in HepG2 and B16–F10 tumor-bearing mice to guide the photothermal tumor ablation. These outputs confirm that D/π-bridge manipulation is an innovative molecular design strategy to construct multifunctional NIR-II AIEgens as high-performance theranostic agents.

Given that the therapeutic effectiveness of type II PSs is highly dependent on the surrounding oxygen concentration, Wang et al. proposed a strategy of the acceptor planarization and donor rotation to construct AIE-active PSs with both type I ROS generation and high PCE (Figure 19A). After replacing the thiophene linker in the 3- and 6-positions of diketopyrrolopyrrole (DPP) derivatives with a vinyl unit, three AIEgens (TPAVDPP, TPATPEVDPP, and 2TPEVDPP) were obtained via Knoevenagel condensation, in which triphenylamine or TPE was used as the donor moiety. The planarization induced by the double bond helped enhance intramolecular D-A interactions, diminished the energy gap between the HOMO and LUMO, and promoted red-shifted absorption, which transferred the type of the PSs pathway. Two highly twisted TPE donors could effectively block the intermolecular π-π interactions to maintain AIE, and at the same time, tune the nonradiative decay channels to endow high PCE. As a consequence, 2TPEVDPP NPs provided a good balance between ROS generation and thermal dissipation pathways (PCE = 66%), and realized NIR-I imaging-guided tumor ablation. Based on the same DPP acceptor unit, two isomers (4MNVDPP and 6MNVDPP) were synthesized (Figure 19B). Interestingly, the two isomers exhibited completely different stacking patterns in their single crystal structures. 6MNVDPP formed a 3D spatial D-A interlocked network, while 4MNVDPP exhibited 2D D-D type J-aggregates, which was attributed to the larger surface electrostatic potential difference of 6MNVDPP and the resulting strong intra- and intermolecular D-A interactions. Therefore, after encapsulated into NPs, the maximum absorption wavelength of 6MNVDPP NPs was red-shifted by 178 nm and exhibited a molar extinction coefficient of up to 3.71 × 104 M–1·cm–1, and the emission wavelength was extended to the NIR-II region when compared with 4MNVDPP NPs. In addition, 6MNVDPP NPs exhibited excellent ROS generation, high PCE (89%), and good photothermal stability. The excellent photophysical properties of 6MNVDPP NPs enabled NIR-II fluorescence imaging-guided photodynamic/photothermal synergistic treatment of tumor tissues. Recently, given the contradiction between PLQY and PCE, which are two important parameters of NIR-II phototheranostic agents, a fluorination strategy was shown to enhance NIR-II PLQY and the PCE of phototheranostic agents concurrently by taking advantage of the small atomic radius, large electronegativity, low photon energy of fluorine atoms and high polarizability of the C–F bond (Figure 19C). As a proof-of-concept, a series of fluorinated or chlorinated phototheranostic agents were designed and synthesized. As expected, the NPs of all the fluorinated phototheranostic agents exhibited higher molar extinction coefficients, NIR-II PLQY and photothermal effect compared with their chlorinated counterparts. Among those agents, FY6-NPs exhibited the highest NIR-II PLQY (4.2%) and PCE (80%), which endowed FY6-NPs with excellent vascular imaging capabilities and enabled NIR-II imaging-guided photothermal ablation of tumors. This study provided valuable guidance for constructing NIR-II phototheranostic agents with high performance.

Mitophagy, a kind of mitochondria-related autophagy, plays a vital role in the energy balance and material metabolism. Mitophagy is considered to be a potential therapeutic target, since the mitophagy level in cancer cells is higher than that in normal cells. Recently, Zhao et al. developed a cationic AIEgen (TACQ) with mitophagy regulating capability for synergistic cancer theranostics (Figure 20A). The strong push-pull effect and twisted molecular conformation enabled TACQ to exhibit typical AIE characteristics and emit in the NIR-II region (>1000 nm). Upon irradiation with a 635 nm red laser, excellent photothermal efficiency of TACQ in the aggregated state with a PCE of 55% was obtained. Besides heat generation, TACQ also efficiently produced 1O2. Thanks to its lipocationic nature, TACQ selectively resided in cancerous mitochondria rather than in normal cells, even in complex environments. After HeLa cells were treated with TACQ, swollen mitochondria and double-membrane vesicles were observed, suggesting the occurrence of mitophagy (Figure 20B). Unexpectedly, TACQ could not only induce mitophagy but also block the mitophagic flux, which was confirmed using mCherry-GFP-LC3B staining experiments. This mitophagy-regulating capability increased the number of damaged mitochondria and led to cell death. Given the synergistic therapeutic effects of mitophagy blockage, PTT, and PDT, TACQ exhibited excellent photocytotoxicity against cancer cells.

Apart from molecular engineering, supramolecular complexes have been constructed for use in cancer theranostic applications. Qin et al. demonstrated a prism-like supramolecular metallacage C-DTTP with efficient NIR-II fluorescence through the assembly of a four-arm AIE ligand with Pt acceptors. C-DTTP exhibited a long emission wavelength (λmax = 1005 nm) and displayed excellent biocompatibility, superior ROS generation behavior, and PCE of 39.3%. By means of the synergistic PDT/PTT therapy, precise tumor diagnosis and effective tumor elimination were afforded simultaneously, which should encourage the development and applications of fluorescent supramolecular theranostics. Pillar[n]arenes are an emerging class of macrocycles with many structural advantages and host-guest properties., Importantly, the convenient substitution on the symmetric rims of pillar[n]arenes not only enables their complexation with various AIEgens for enhanced emission but also enables hybridization with inorganic materials such as mesoporous silica NPs, metal-organic frameworks, and metallic nanomaterials, thus generating combined functions of both the supramolecular compositions and inorganic entities. Taking advantage of these characteristics, multifunctional theranostic systems have been successfully fabricated. For instance, pillar[5]arene-modified gold nanorods (AuNRs) loaded with AIEgens via host-guest interactions as the PS were prepared, which exhibited multiple modalities including desirable photothermal effect for PTT, high ROS generation capacity for PDT, fluorescence imaging, and PAI for imaging-guided treatment. In the preparation step, carboxylatopillar[5]arene (CP5)-modified AuNRs were synthesized via a ligand-exchange process, and the AIE-active PS, denoted as TTPY-Py, was encircled with CP5 through host-guest complexation. On the one hand, the fluorescence of TTPY-Py was dramatically enhanced upon forming host–guest interactions with CP5 due to the RIM mechanism. On the other hand, the release of TTPY-Py could be efficiently triggered by multiple external stimuli, including NIR irradiation, lowering the pH, and raising the temperature. The dissociation between TTPY-Py and CP5 was followed by the escape of the PS from the nanomaterial to the mitochondria, where TTPY-Py accumulated because of its positively charged pyridinium terminals and then triggered the generation of ROS under white light. In addition, apart from AIEgen release, NIR irradiation could also initiate the photothermal conversion activity of AuNRs. Accordingly, combined theranostic efficacy integrating multiple therapeutic performances (PTT and PDT) was successfully activated under the synergistic effect of these stimulating factors, which is highly beneficial for promoting noninvasive and accurate cancer treatment.

Photodynamic-Immunotherapy

Although AIEgen-based PDT has attracted significant recent attention, the limited light penetration depth and specific location for light activation have led to difficulties in using PDT for treating deep-seated or metastatic tumors. On the other hand, immunotherapy such as immune checkpoint blockade (ICB) therapy could activate the T cells, and alleviate the immunosuppressive microenvironment, eventually boosting antitumor immune response for the whole body.− However, although promising, this treatment currently only benefits a minority of cancer patients whose tumors have been preinfiltrated by T cells. Considering that PDT could result in an immunogenic tumor microenvironment, the combination of PDT and immunotherapy has the potential to treat diverse difficult-to-treat tumors; as such, some research on this topic has been reported. And Lou et al. proposed that immune the response procedures were a series of step-by-step links, and if any hindrance arises, the immunity cycle could be halted, and obviously, the immunotherapy effect would be discounted. Thus, based on the whole cancer-immunity cycle, they reported an immunotherapy strategy and constructed a cascade amplification nanocomposite (PMRA/Poly (I:C)) to achieve a continually reinforcing immune response through strengthening every step in the whole immunity cycle. Based on the current single down-regulation strategy, Lou et al. designed the caged peptide-conjugated AIEgen/miR-140 NPs to deep down-regulate the PD-L1 expression and achieve enhanced PDT/immunotherapy (Figure 20C). The caged peptide-conjugated AIEgen probe (GCP) consisted of three parts: caged GO203 peptide, cathepsin B (CB) enzyme cleavable peptide, and PyTPA. GCP with a hydrophobic aromatic structure and positively charged side-chain was self-assembled with negatively charged miRNA into GCP/miR-140 NPs. After internalization by tumor cells, the structure of GCP/miR-140 could be broken by the overexpressed CB enzyme, releasing miR-140 and the caged GO203 peptide. Then, the high glutathione (GSH) concentration in tumor cells removed the tert-butyl mercaptan group on caged GO203, exposing the active thiol on the CQC sequence. Decaged GO203 peptide could then inhibit the homodimerization process of mucin 1 (MUC1), thus downregulating PD-L1 expression. At the same time, miR-140 could bind to the PD-L1 messenger RNA (mRNA) and prevent the translation process of PD-L1. In vivo experiments proved that after down-regulating PD-L1 expression in tumor cells using two methods and enhancing antigen presentation via PyTPA-PDT, antitumor immunity could be activated effectively, thereby realizing enhanced immunotherapy.

Natural cell membrane-coated NPs have arisen as a biomimetic theranostic platform for cancer therapeutic applications. These NPs were inspired by the structure of natural cell membranes, which inherit the membrane protein profile from the source cells, enabling them to act as seemingly cells that can deliver their cargo to the target site and activate immune-associated cells. Natural cell membrane-coated NPs strike a chord with the concept of “terminators”, killing machines with living tissue over a robotic endoskeleton, which inspired researchers to develop a nanoscale “terminator” for cancer eradication. Immune cells are a crucial component of the precise treatment of cancer. Some complex proteins are distributed on the immune cell membrane, which helps to improve the recognition and targeting of immune cells to tumors and enhance the antitumor immunity of immune cells. Moreover, there is evidence that the immune cell membrane exhibits a certain antitumor immunotherapy function. Based on this characteristic, researchers have attempted to transplant the properties of immune cells on AIE nanoaggregates to produce immune cell-like nanoterminators for tumor targeting and therapy through cell membrane coating technology. Natural killer (NK) cells are lymphocytes of the innate immune system that are involved in tumor immunosurveillance. Born to kill, these cells are manufactured in the bone marrow, circulate in the blood, and identify abnormal cells with the help of receptors expressed on their cell membrane. NK cells exhibit various proteins for tumor recognition and have been used in cancer immunotherapy. The natural killer cell membrane was wrapped on AIE polymeric nanoaggregate to produce an NK-cell-like nanoterminator (NK@AIEdots) (Figure 21). The as-prepared NK@AIEdots with bright NIR-II fluorescence could not only cross the blood-brain barrier but also specifically accumulate in brain tumors within the complex brain matrix for further in situ through-skull-scalp imaging and PTT. Dendritic cells (DC) are “professional” antigen-presenting cells that can prime T cells. Research suggests that mature DCs could induce potent antitumor T cell immunity. The priming of T cells by mature DCs was mainly through cell membrane surface components, which may be important for highly functional therapeutic T cell generation. The DC cell membrane was coated on the nanoaggregate formed by AIE PSs to produce a DC-cell-like nanoterminator (DC@AIEdots) for cancer photodynamic and photothermal immunotherapy. Notably, the inner AIE PSs could selectively accumulate in tumor cells for PDT, and the outer cell membrane could facilitate DC@AIEdots to “hitchhike” on endogenous T cells in a modular manner and stimulate T cell proliferation and activation. The tumor delivery efficiency of PSs increased from 25.12% to 39.77% (i.e., about 1.6 times) by leveraging T cells. The combination of the LDs targeting PDT and artificial antigen-presenting to T cells can effectively reduce the size of the tumor in situ and evoke the whole immune system to inhibit the growth of both primary and distant tumors with a long-lasting effect. This study not only confirms the great potential of LDs as targeting therapeutic agents for tumor microenvironment modulation but also provides a photoactive antigen-presenting platform with abilities for highly efficient drug delivery and cancer photon-immunotherapy.

Photodynamic-Chemotherapy

Cancer therapies usually suffer from a poor targeting ability and serious side effects. Photoactivatable cancer therapy offers the significant advantages of high spatiotemporal resolution and can be monitored in situ by fluorescence imaging, which is promising for precise cancer treatment. Gao and co-workers developed dual organelle-targeted NPs with synergistic chemo-PDT functions through self-assembly of mitochondria-targeted chemotherapeutic agent AIE-Mito-TPP and lysosomes-targeted PS AlPcSNa4. These dual organelle-targeted NPs could be quickly taken up by cancer cells through endocytosis and gradually decompose to release AIE-Mito-TPP and AlPcSNa4, which accumulated in the mitochondria and lysosomes. The AIE-Mito-TPP efficiently destroyed mitochondrial functions by disrupting mitochondrial membrane potential and inhibited ATP synthesis, while the AlPcSNa4 efficiently destroyed lysosomes via ROS generation under NIR light irradiation. The dual organelle-targeted drug delivery process can also be self-monitored by the dual light-up fluorescence of green-emissive AIE-Mito-TPP and red-emissive AlPcSNa4. Under NIR light irradiation, the AIE-Mito-TPP/AlPcSNa4 NPs display cytotoxicity against A375 cells and efficient inhibitory ability for in vivo tumor growth, which is promising for image-guided precise cancer therapy. Prodrugs which can be selectively activated in cancer cells are ideal agents for cancer therapy due to their improved tumor specificity and minimized side effects. Recently, an esterase-responsive prodrug (TPE-QC) was developed, which was constructed using the anticancer drug of chlorambucil and an TPE-QO AIEgen using a hydrolyzable ester linkage. The fluorescence and photosensitization of TPE-QC were quenched due to the photoinduced electron transfer (PET) process. However, the ester group of TPE-QC could be hydrolyzed by esterase to release TPE-QO and chlorambucil, which blocked the PET process and resulted in the recovery of both fluorescence and photosensitization. Benefiting from the higher levels of esterases in cancer cells, TPE-QC could be selectively activated in cancer cells over normal cells. The activated TPE-QC was mainly located in the mitochondria and lysosomes, as indicated by the enhanced fluorescence signals. As expected, TPE-QC exhibited higher photocytotoxicity for cancer cells under white light irradiation. Importantly, TPE-QC could be successfully activated at the tumor site and efficiently inhibited tumor growth through synergetic PDT and chemotherapy.

Bacterial Elimination

Bacterial infections are the most prominent underlying reasons for many severe diseases, such as pneumonia, sepsis, septic arthritis, and inflammatory bowel disease, which have increasingly raised medical and public concerns across the world. There is also increasing evidence that bacteria can also indirectly promote the occurrence and progression of other diseases (e.g., cancer) and compromise the efficiency of cancer chemotherapy and immunotherapy. Since the discovery of penicillin, antibiotics have emerged as the most important weapon for humans against bacterial infections. However, such antibacterial abilities have been dramatically impaired due to the emergence and dissemination of antibiotic resistance. Increasing efforts are devoted to bacterial elimination and infection treatment to alleviate or resolve these severe issues.,

Deep into the threats of bacterial infections in tissue, Liu and Kong et al. reported a strategy using metal-organic framework (MOF) NPs as the nanocarrier for precise metabolic bacterial labeling and killing in vivo. After intravenous injection, these NPs accumulated preferentially and degraded rapidly within the inflammatory environment, releasing encapsulated 3-azido-d-alanine (D-AzAla) in the process. Subsequently, D-AzAla was selectively integrated into the cell walls of bacteria. Ultrasmall PS-active AIE dots were delivered to react with the modified bacteria through in vivo biorthogonal chemical reactions. Upon light irradiation, the bacteria on the infected tissue were ablated by the efficiently generated ROS, indicating a promising strategy for precise bacterial detection and killing guided by fluorescence imaging. The exponential growth of bacteria promotes biofilm formation, whose existence provides a physical barrier to prevent the penetration of antibiotics but also utilize enzymes to degrade or absorb antibiotics and make them inactive. To address this issue, Zhao and co-workers designed a cationic antibacterial agent based on phosphindole oxide with AIE properties and efficient 1O2 generation capability. As such a visual diagnosis of bacterial biofilms could be carry out. In addition, owing to the synergistic effect of phototoxicity and dark toxicity, superb antibacterial and antibiofilm performances against multidrug-resistant Gram+ bacteria was achieved. Polymeric AIE molecules are reported to exhibit much higher efficiency in intersystem-crossing and triplet exciton generation, leading to ROS generation. A conjugated AIE polymer with benzothiadiazole and TPE units was developed for reliable bacterial eradication, showing much higher ROS generation efficiency compared to its monomer counterpart and commercial PS. Effective inhibition of bacteria growth was achieved under light irradiation both in vitro and in vivo, with noteworthy specificity and biocompatibility. In addition to AIEgens, researchers have found that some natural products can kill bacteria efficiently by PDT using inherent AIE features.,

Apart from these photodynamic-active AIE PSs, the existence of molecular rotors in the AIEgen skeleton could facilitate excited-state energy dissipation via nonradiative decay and thus promote photothermal conversion.,− Combining these features, a nanofibrous membrane, namely, TTVB@NM, was developed for synergistic photodynamic and photothermal treatment making full use of both ROS and heat. Constructed using an AIE unit, TTVB as the dopant, and an electroactive polymer PVDF-HFP as the matrix. The multilayered porous structure of TTVB@NM favored the interception of pathogenic droplets and aerosols. Upon sunlight irradiation, the generated massive ROS played a dominant role in microbicidal activity, and a moderate photothermal conversion activity supplemented the microbal inhibition, synergistically endowing the effective application for the inhibition of bacteria.

Recent studies have revealed that most invasive pathogens can survive inside host cells during traditional antimicrobial treatments. Due to the challenges associated with detecting shielded intracellular bacteria and their high resistance to antibiotic therapies, traditional antimicrobial reagents have difficulties in treating these refractory infections., Some strategies have thus been developed based on AIEgens to image and eliminate bacteria that reside inside host cells, which include (i) one-step metabolic labeling methods, (ii) bioresponsive labeling methods, and (iii) direct labeling methods.

Bacterial walls are composed of peptidoglycans with repeating units of N-acetylglucosamine and N-acetylmuramic acid. Metabolic precursors incubated with bacteria are expressed on the bacterial cell walls, which offers a promising approach for the detection of bacteria detection based on bacterial peptidoglycan imaging. Liu and co-workers developed a one-step metabolic labeling probe TPEPy-d-Ala for in situ visualization and ablation of intracellular bacterial pathogens (Figure 22A). TPEPy-d-Ala showed a weak emission in aqueous media because of the good water solubility of the d-Ala and pyridinium units in TPEPy-d-Ala. By incorporation of TPEPy-d-Ala into bacterial peptidoglycan through metabolic processes, the fluorescence of TPEPy-d-Ala was enhanced because of inhibited intramolecular motion, which enabled the detection of intracellular bacteria. The probe could selectively label the peptidoglycan of intracellular bacteria but not the membrane of the host cells. Moreover, TPEPy-d-Ala could ablate intracellular bacteria in situ by photodynamic treatment, which was more effective than using vancomycin, a common antibiotic. Subsequently, another one-step metabolic probe, TPACN-d-Ala, was developed. By virtue of its superior water solubility, TPACN-d-Ala could circulate in blood when intravenously injected into mice and was able to diffuse well into the host cells or biofilms to be involved in the biosynthesis of peptidoglycan. TPACN-d-Ala specifically illuminated the in vivo bacterial wall to track and ablate the sheltered bacteria effectively through PDT.

Although the metabolic labeling method showed high specificity for imaging and ablating bacteria inside cells, it requires considerable time for labeling. Phagocytes, including macrophages, can naturally respond to bacterial infection by activating numerous biological pathways, which make the macrophage microenvironment, including enzyme activity, redox state, and ROS levels, quite different from that of a healthy macrophage. This specific microenvironment can enable fast and bioresponsive intracellular bacteria labeling. As macrophages can recognize bacterial infections and activate caspase-1 (Casp-1),, Liu et al. developed a molecular probe (PyTPE-CRP), an AIE molecule (PyTPE) conjugated with a casp1-responsive peptide (NEAYVHDAP), for bacterial infection imaging and intracellular bacteria elimination in macrophages. PyTPE-CRP exhibits weak fluorescence in aqueous media, but once it was selectively cleaved by Casp-1 in bacteria-infected macrophages, the resulting residues could self-assemble into aggregates and accumulate inside the phagosomes to light up the fluorescence in the macrophages. In situ intracellular bacteria ablation was achieved through the photodynamic treatment of PyTPE-CRP residues with negligible cytotoxicity to macrophages. This motivated the development of probes that could offer simultaneous activation of both fluorescence and photosensitization to facilitate real-time image-guided infection treatment with negligible side effects on normal cells. Bacteria with specific secretion systems are able to avoid the cytotoxic effect of hypochlorous acid (HClO), which is commonly released as a defense against bacterial invasion in phagocytes. Therefore, Liu and co-workers designed HClO-stimulated theranostic nanoprobe DTF-FFP NPs for bacteria diagnosis and therapy inside phagocytes (Figure 22B). DTF-FFP NPs are composed of two key elements: effective AIE PS DTF and HClO responsive molecules FFP, in which FFP quenched both the fluorescence signals and the ROS production of DTF by Förster resonance energy transfer (FRET). Upon accumulation of DTF-FFP NPs at the infected area, FFP was oxidized and degraded by the released HClO from the infected phagocytes, causing DTF to produce red fluorescence for intracellular bacteria imaging. Under light irradiation, the HClO-activated photosensitization selectively ablated bacteria and infected phagocytes without obvious side effects to normal phagocytes.

When compared to the first two methods, a simpler strategy is to design a probe that is permeable to cells and can offer direct bacteria labeling. Li et al. found that TBPs not only showed high efficacy against diverse G+ bacteria through membrane disruption without the development of resistance after repetitive passages for 30 days, but also killed the internalized pathogens via enhancing the autophagy of epithelial cells (Figure 22C). TBP-1 could directly bind to the bacterial phosphatidylglycerol and cardiolipin, thus inducing the loss of membrane integrity by increasing ROS accumulation and potential depolarization. Interestingly, after the infections of S. aureus, TBP-1 labeled bacteria colocalized with the lysosomes of epithelial cells, indicating that TBP-1 facilitated the clearance of intracellular bacteria in both pathogen-directed and host-directed ways. Notably, autophagy upregulated by TBP-1 was closely related to the combination of the PS with host mitochondria and subsequent ROS burst. Although mitochondria are the major energy supplier of host cells, lysosomes are directly involved in the elimination of intracellular pathogens. A D-π-A type AIEgen TTTh was reported with the capabilities to inhibit the growth of bacterial pathogens and to upregulate the lysosomal maturation at the same time (Figure 22D). Based on the cationic groups of the PS, TTTh bound to the methicillin-resistant G+ bacteria S. aureus (MRSA) within just 5 min. Then, TTTh directly impaired the membrane integrity of MRSA, and the damage was further aggravated after light irradiation, owing to a significant photodynamic effect. Meanwhile, lysosome-targeted TTTh also increased the lysosomal acidification and production of cathepsin D in macrophages, thus promoting the clearance of intracellular S. aureus.

Follow the Breadcrumbs: Detection and Monitoring

With the rapid development of medicine, life science research is moving from the macroscopic world to the micromolecular level. There are a wide variety of bioactive molecules with complex mechanisms in living organisms, such as amino acids, enzymes, and various species of active oxygen, nitrogen, sulfur, etc., which are an important part of the body’s homeostasis.− Studying their physiology in-depth and visualizing these difficult-to-observe biological processes often require sophisticated tools. The saying “follow the breadcrumbs” from the story of Hansel and Gretel refers to tracing back clues or hints to find solutions, answers, or conclusions when the way forward is not clear. Fluorescence, to this extent, acts as the “breadcrumbs” that enable us to track invisible bioactive molecules or species in a real-time and in situ manner.− In this section, we will discuss applications of AIEgens in detecting and monitoring biological molecules, including macromolecules and small molecules. Applications in various health-related areas, such as virus detection, food safety screening, and point-of-care testing, will be considered.

Biomolecules Detection and Monitoring

Biomolecules refer to bioactive small molecules, and biomacromolecules are involved in many physiological functions in the body and closely associated with a series of pathological events., For example, a variety of biological enzymes are widely regarded as biomarkers for the diagnosis and potential treatment of diseases in the organism.− Meanwhile, gasotransmitters including nitric oxide, hydrogen sulfide, and carbon monoxide participate in various signaling pathways in biological systems such as regulating neurotransmission, relaxing blood vessels and inhibition of insulin signaling., In addition, the dynamic changes of intracellular cations and anions significantly affect the homeostatic control and lead to metabolic abnormalities. Thus, it is vital to obtain information in situ about the level change or dynamic process of these biomolecules for a deeper and more comprehensive understanding of disease diagnosis and treatment.

Biomacromolecules Sensing and Screening

Biomacromolecules are large biological polymers composed of linked monomers, including nucleic acids, proteins, and carbohydrates. Biomacromolecules play critical roles in many biological processes, such as storage and transmission of genetic information and enzymatic catalysis of biochemical reactions, they also provide structural support to cells and tissues. Therefore, understanding the intricate structure and diverse functions of biomacromolecules is crucial for comprehending the complex mechanisms that underlie the behavior of living systems.

An AIE-active strategy is highly preferred to realize on-site and real-time monitoring of enzyme activities in vivo., However, because the hydrophobic aryl structure is an important structural motif in AIEgens, undesirable initial aggregation before sensing inevitably results in a false-positive fluorescence signal. Thus, increasing the water solubility of AIE probes is highly demanded, thus realizing a fluorescence-off background.− Relying on the introduction of a hydrophilic sulfonic group to regulate the aggregated behavior, Zhu et al. built turn-on NIR probes for ultrasensitive mapping of Aβ plaques (Figure 23A and 23B). the fine structures of Aβ plaques were visualized using super-resolution imaging, and the 3D distribution of Aβ plaques was also determined., Moreover, given that the substrates of some crucial enzymes are naturally hydrophilic (such as glycosyl unit, peptide, etc.), conjugating AIEgens with a water-soluble substrate is a highly effective strategy (Figure 23C). In the molecular engineering of QM-βgal, hydrophobic QM-OH was utilized as an AIE reporter and the β-galactopyranoside unit was used as a hydrophilic cleavable substrate. QM-βgal is a highly water-soluble species, rendering it almost nonfluorescent in an aqueous solution. After being specifically hydrolyzed by β-galactosidase, hydrophobic AIEgens are released and aggregated, resulting in a lighting-up of the fluorescence signal. This sensing mode could also afford diffusion-resistant on-site localization and long-term trapping of endogenous β-galactosidase activity. Starting from the QM-βgal probe, a series of enzyme-activatable probes have been developed, and have enabled the in vivo sensing α-L-fucosidase, alkaline phosphatase, and Atg4B Protease, etc.− Because pancreatic cancer is a highly lethal malignancy, a QM-based AIE probe (named QM-HSP-CPP) was used for the for high-fidelity fluorescence diagnosis of this kind of tumor by monitoring the overexpressed Cathepsin E (CTSE). QM-HSP-CPP is composed of three units: QM-OH as a long-wavelength AIEgen, peptide Ala-Gly-Phe-Ser-Leu-Pro-Ala-Lys-Arg (HSP) as the CTSE-responsive group, and transmembrane peptide for increasing water solubility and the deep-tissue penetration ability (Figure 23D). Notably, QM-HSP-CPP with amphiphilic characteristics well coped with the unwanted “always-on” fluorescence in the aqueous biosystem and the undesirable aggregation signal in the lipophilic organelle before targeting the receptor. Upon digestion with CTSE, the probe would aggregate into a tight state in an aqueous environment activating the AIE fluorescence signals. Consequently, QM-HSP-CPP was able to on-site monitor endogenous CTSE, thereby realizing pathological diagnosis of human pancreatic cancer sections and achieved long-term tracking in the heterotopic nude mouse model.

Protein aggregation is a multistep process that is associated with a growing number of human diseases, including neurodegenerative disorders, metabolic disorders, and cancers.− Solvatochromic probes have been developed to reveal protein misfolding in both test tubes and living cells, as represented by Prodan, SBD, and others.− In recent years, AIEgens have been applied to detect protein unfolding, oligomerization, and aggregation.− 1,2-Bis[4-(3-sulfonatopropoxyl)phenyl]-1,2-dipheny-lethene salt (BSPOTPE), a biocompatible AIEgen, was used to report insulin amyloid genesis. BSPOTPE exhibits significant fluorescence activation that correlates with insulin nucleation, elongation, and equilibrium phases, thus enabling the assessment of the amyloid genesis kinetics. Most of the probes currently used, represented by Thioflavin T (ThT), can monitor only the mature fibrils, leaving the more critical oligomers undetected. Distinct from ThT, TPE-TPP exhibits a significant fluorescence enhancement and a shorter lag phase when monitoring α-synuclein fibrillation., Rapid fluorescence activation confirms that TPE-TPP could detect intermediate misfolded oligomers during fibrillation.

Cytokines are small proteins that are released by cells; they act as important signaling molecules for cellular interactions, and changes in their concentration can reflect the health of the organism. Therefore, cytokines are often used as biomarkers of inflammation or diseases. The application of AIEgen-based immunoassays has made significant contributions to the field of cytokine monitoring. Ma et al. developed a turn-on fluorescence aptasensor that could monitor intracellular IFN-γ secretion (Figure 24A). This aptamer consisted of an AIEgen called TPEN3, which is a TPE molecule modified with an azide group and an IFN-γ aptamer. Only in the presence of IFN-γ, the TPE-aptamer complexes with IFN-γ and exhibits an intense red emission. This aptasensor was suitable for monitoring and real-time bioimaging of IFN-γ in living cells, with a minimum limit of detection (LOD) of 2 pg/mL. It was highly sensitive and specific as other proteins did not cause signal interference. Additionally, compared to “turn-off” counterparts, the “turn-on” character of AIEgens is advantageous for lowering the likelihood of producing erroneous positive/negative signals. Another AIEgen-labeled magnetic NPs was shown to localize cytokine VEGF. AIEgen-based poly (l-lactic-co-glycolic acid) Fe3O4 NPs modified with oleic acid were used as carriers, in combination with triphenylamine-divinylanthracene-dicyano and anti-VEGF antibodies so that they possessed specific immunoreactivity against VEGF, producing intense emission in the aggregate state and reacting to VEGF-A in cells down to 68 pg/mL.

Apart from the common applications of AIEgens as amyloid probes, their use as amyloid modulators and screeners has also been explored. Zheng et al. proposed a design strategy to develop a dual-function, multiple-targeting molecule of G7-TBA by conjugating a GNNQQNY (G7) amyloid fragment with a TBA AIEgen, which served as both an amyloid probe and amyloid modulator for monitoring, detecting, and altering amyloid aggregates. G7-TBA as an amyloid probe demonstrated its conformational-specific, sequence-independent detection ability with turn-on fluorescence for detecting Aβ, hIAPP (associated with Type 2 diabetes), and hCT (associated with medullary thyroid carcinoma) aggregates both in bulk and on the sensor surface. Meanwhile, G7-TBA as an amyloid modulator demonstrated its multiple-target functions to (i) accelerate the aggregation and misfolding of different Aβ, hIAPP and hCT, (ii) reduce amyloid-induced cell toxicity, and (iii) generate fluorescence images of amyloid fibrils. Such sequence-independent amyloid probing and modulation mechanisms of G7-TBA mainly stem from their cross-interactions with amyloid detection via β-structure interactions. This study offered a “kill two birds with one stone” case model to not only integrate both “amyloid probe/sensing” and “amyloid modulation” functions into a single molecule but also to introduce the concept of amyloid cross-seeding for designing protein-based, AIE-active molecules for disease diagnosis and drug discovery. In another case, a class of amyloid inhibitor probes was developed by conjugating EPB molecules with pAzF-modified amyloid proteins (i.e., EPB@pAzF-amyloid probes), realizing the high-throughput screening of small molecules as amyloid inhibitors. Upon incorporation of pAzF and EPB into a specific site of Aβ42 or αSN proteins, EPB@pAzF-amyloids were still able to self-aggregate, changing from unstructured monomers to semistructured oligomers to β-sheet-rich amyloid-like fibrils, and showed similar amyloidosis properties to wild-type amyloids. These EPB@pAzF-amyloid conjugates served as a high-throughput screening platform to repurpose FDA-approved drugs, small molecules, and natural components with amyloid inhibition functions against different amyloid proteins. This strategy discovered a dual amyloid inhibitor of tolcapone from Drugbank databases to prevent the aggregation, cell toxicity, and neuronal dysfunction of both Aβ and α-synuclein. Molecular modeling and molecular dynamics simulations further revealed that the common inhibition effect of tolcapone on Aβ and α-synuclein aggregation stemmed from the strong binding of tolcapone molecules to a common structural motif of β-sheet grooves present in both Aβ and α-synuclein oligomers as well as to some hydrophobic, aromatic residues, which explained the experimental data.

Biological Small Molecules Detection and Monitoring

Besides biomacromolecules, many small biomolecules also play important roles in complex biological processes., Multispectral optoacoustic tomography (MSOT), which relies on the use of multiple-wavelength NIR laser excitation and spectral unmixing algorithms, can distinguish optoacoustic signals contributed by different photoabsorbers and can identify a specific probe in the target tissue. Additionally, MSOT imaging, which can generate 3D images (maximum-intensity projection images or 3D rendering images), can detect spatially overexpressed biomarkers in the organ or tissue of interest., Therefore, the combination of NIR-II imaging and MSOT imaging with a biomarker-activatable probe can combine their respective advantages and establish a serviceable means for offering accurate and noninvasive diagnosis and therapeutic outcome monitoring with high spatiotemporal resolution.

One typical example is the nanoprobe BTPE-NO2@F127, realized by molecular probe BTPE-NO2 encapsulated with the FDA-approved amphiphilic and biocompatible polymer Pluronic F127. The biomarker H2O2 at pathological levels in the disease sites (e.g., in the liver) cleaved the amide bond of the electron-withdrawing biomarker-responsive nitrophenyloxoacetamide units and produced the activated probe (chromophore BTPE-NH2) with the electron-donating amino groups, thereby red-shifting the absorption band to 680–850 nm and generating strong NIR-II emission in the range 950–1200 nm. With two TPE groups in the core serving as the molecular rotors, the activated probe (chromophore BTPE-NH2) was AIE-active, further enhancing the NIR-II fluorescence in the aggregate state. The nanoprobe was used to image liver ischemia reperfusion (I/R) injury, which is a major complication in clinical scenarios such as liver resection and liver transplantation. In the case of liver I/R injury, ROS (including H2O2) is overexpressed in the hepatic region, which could serve as a biomarker for the disease. The nanoprobe BTPE-NO2@F127 could detect the degree of liver injury, on account of its response to hepatic H2O2. Mice were treated with ischemia for 0 min (the sham group serving as the control), 30 or 60 min, followed by reperfusion for 24 h, then the mice were intravenously (i.v.) injected with the nanoprobe and underwent imaging. As shown in Figure 24B, the liver area of the mice in the sham group only exhibited weak fluorescence and optoacoustic signals at 90 or 120 min upon i.v. injection of the nanoprobe BTPE-NO2@F127, while the liver areas of the ischemia groups exhibited obvious fluorescence, and the long ischemia group (ischemia for 60 min) exhibited stronger fluorescence and optoacoustic intensities, because a higher level of hepatic H2O2 was generated for extended ischemia time and thus more severe liver damages occurred for the long ischemia group. The AIE-active hemicyanine-based molecular probe QY-SN-H2O2 and the NLRP3 inhibitor MCC950 encapsulated using enteric polymers rendered the colon-targeting nanosystem QM@EP, those enteric polymers were FDA-approved PLGA and Eudragit S100, with the former being used as a biodegradable excipient for sustained release of drugs, and the latter as the excipient for targeted payload release in the colon since Eudragit S100 is soluble in colon-fluid and usually serves as a matrix for drug formulation to prevent premature drug release in the stomach and specifically release drug in colon at pH > 7. Once triggered by colonic pH, the nanosystem discomposes and subsequently releases the molecular probe and NLRP3 inhibitor in the colon. Accordingly, the released NLRP3 inhibitor exerts a therapeutic effect, and the pathological colonic H2O2 cleaves the biomarker-responsive moieties of QY-SN-H2O2 to generate the AIE-active chromophore QY-SN-OH for NIR-II fluorescence imaging and optoacoustic imaging (Figure 24C). Hence, this nanosystem served as a theranostic tool for ulcerative colitis integrating noninvasive in situ imaging and therapy into one system. Another AIE-active hemicyanine chromophore (Q-NO2) readily generates the nanoprobe (NP-Q-NO2) in aqueous media due to its amphiphilic molecular structure, which is responsive to the biomarker nitroreductase. In the absence of nitroreductase, the nanoprobe was neither absorptive nor fluorescent in the NIR region. Nitroreductase transformed the strongly electron-withdrawing nitro group in the molecular probe to an amino group, which led to a self-elimination reaction and generated the electron-donating hydroxyl group, thus offering an activated probe (NP-Q-OH) with strong optoacoustic and NIR-II fluorescence signals. NP-Q-NO2 was shown to respond to nitroreductase in a breast tumor metastasis mouse model, and image the sequential metastases from the orthotopic breast tumors to lymph nodes and then to the lung (Figure 24D).

Virus Detection

Viruses typically range between 20 and 300 nm in length. An emerging and re-emerging spectrum of viral infectious pathogens has severely threatened human health and become one of the major public health concerns. Facing the continuous and severe threat of COVID-19, it became critical for mankind sensitive and accurate methods for virus clinical diagnosis, and especially for early stage of infection, to prevent the spread of viruses and disease outbreaks.,

A dual-modality immunoassay for viruses was developed based on an enzymatic-responsive TPE-based AIEgen (Figure 25A). Initiated by virions immunobridged enzymatic hydrolysis of terminal phosphoryl groups, highly emissive AIE aggregates and silver-shelled gold NPs were generated, leading to a robust turn-on fluorescence and naked-eye discernible plasmonic colorimetric signal, respectively. As a proof of concept, EV71 virions could be specifically detected with a detection limit as low as 1.4 copies/μL under fluorescence modality. Additionally, the naked eye could observe a broad range of EV71 virions from 1.3 × 103 to 2.5 × 106 copies/μL. Most importantly, real clinical samples were diagnosed with 100% accuracy using RT-qPCR as a standard, without the assistance of any expensive instrumentations. This dual-modality immunoassay has enabled convenient preliminary screening based on a colorimetric signal and the accurate diagnosis of suspect infections via a fluorescence signal.

Considering the imaging advantages of NIR emission, significant effort has been devoted to developing NIR AIEgens for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)., For the early detection of immunoglobulin M (IgM) and immunoglobulin G (IgG) in clinical serum samples, Li and colleagues developed a rapid and sensitive serological diagnostic method based on AIE810NP in a lateral flow immunoassay (Figure 25B). The AIEgen, BPBT, with NIR emission at 810 nm, served as the fluorescent unit. The detection ligand was labeled with polystyrene NPs sized 300 nm, which were loaded with 3.18 × 106 AIE810NP to amplify the fluorescent signal. Compared to the enzyme-linked immunosorbent assay and the AuNP-based test strip, the AIE810NP exhibited a lower LOD (0.236 μg mL–1 and 0.125 μg mL–1) and comparable or higher sensitivity (78% and 95%) for IgM and IgG. Such effective and accurate detection of COVID-19 could help to cut the spread of the virus and halt the pandemic in the public area.

Food Safety

Food safety is a major issue associated with national health and social stability, which has attracted increasing attention with the transformation of the human diet from traditionally eating until full (quantity) to eating well (quality)., Generally, food safety problems can be caused by microbial contamination, environmental organic pollutants, food spoilage, and illegal use of pesticides, veterinary drugs, fertilizers, and food additives., Food safety inspection is regarded as an important means of monitoring food quality and ensuring food safety. In recent years, several analytical techniques have been developed to test and monitor food quality and safety. In this regard, fluorescence detection technology based on AIEgens has the advantages of high sensitivity, simple operation and user-friendliness, which exhibits significant prospects in the area of practical food safety and quality control.− According to the RIM mechanism, the fluorescence signal switching of AIEgens can be easily achieved by activating/inactivating RIM processes or disrupting the photophysical processes through target-assisted molecular recognition. Accordingly, various high-performance fluorescence sensing detection systems have been developed for food safety and quality monitoring.

Active substances in food can interact directly with AIEgens by various chemical reactions such as coordination, hydrogen bonding, and hydrophobic and electrostatic interactions, thus achieving precise manipulation of the photophysical process occurring in AIEgens and thus controllable fluorescence signaling. Such target-directed responsive AIEgens do not require any complex design or operational processes. A typical example is from AIEgens with amine-response activities, which were used to monitor food freshness. Huang, Xiong, and co-workers reported an amine-responsive AIEgens, namely, 4-(dimethylamino)styryl)quinoxalin-2(1H)-one (ASQ), which was used as biogenic amine indicator to develop an intelligent sensor chips for monitoring food freshness (Figure 26A). ASQ, with a typical D-A structure, displayed nonmonotonic color and fluorescence responses to pH by protonation/deprotonation of the D/A groups. After depositing acidified ASQ (H+ASQ) on qualitative filter paper, the obtained paper sensor chip showed obvious colorimetric and ratiometric fluorescence responses to biogenic amines. Due to its excellent amine reactivity, the H+ASQ-labeled paper chip enabled real-time, nondestructive, and visual monitoring of meat and seafood freshness at different storage temperatures. Additionally, AIEgens with amine-, H2S-, Al3+-, and O2-reactivity have been reported for monitoring the freshness of fruits, red wine, crab, fish, shrimp, and scallops.−

Although the above-mentioned target-responsive AIEgens can enable the real-time in situ monitoring of food hazards, the sensitivity and accuracy of such AIEgen systems face great challenges due to the diversity of food hazards and the complexity of foods. Therefore, design concepts and strategies for AIEgens targeting various food hazards are urgently required. In this regard, indirect-responsive AIEgens have been developed as promising alternatives, in which targets can react with the intermediate and induce changes in its physicochemical properties, which in turn trigger the aggregation/disaggregation of AIEgens, or the detachment/release of AIEgens from the quenchers/activators. Deng et al. designed a dual terminal stemmed aptamer beacon (DS aptamer beacon) for homogeneous and label-free detection of aflatoxin B1 (AFB1) in broad bean sauce and peanut oil (Figure 26B). With this research, the DS aptamer beacon possessed two stems at the 3′ and 5′ terminals and two symmetrical loops in the middle region. The stems at the 3′ and 5′ terminals could protect the aptamer probe from being digested by exonuclease I. When AFB1 was present in the sample solution, the target would competitively bind to the aptamer and induce disassembly of the DS aptamer beacons. With the beacon structure switching, the generated single-stranded DNA was subsequently digested by exonuclease I, thus inhibiting the binding of positively charged AIEgen (DSAI) and resulting in a decreased fluorescent signal. The LOD of this DS aptamer beacon-driven AIEgen assay was as low as 27.3 ng/mL.

Organophosphorus pesticides (OPs) are widely used to improve the agricultural production efficiency and product quality. However, OPs can irreversibly inhibit acetylcholinesterase (AChE) activity even at low concentrations, thus causing excessive accumulation of the neurotransmitter acetylcholine (ATCh) in living organisms. ATCH is associated with many neurological diseases. Thus, developing highly sensitive methods for the quantitative detection of OPs residues is of great importance. In this regard, several indirect-responsive label-free AIEgens toward OPs have been developed by the AChE-mediated catalytic hydrolysis of ATCh to manipulate the aggregation or release of AIEgens, resulting in significantly enhanced fluorescence. Using this strategy, Li et al. achieved the rapid visual detection of AChE activity and OPs with LODs of 2.5 mU/mL and 0.5 ng/mL, respectively, using a paper-based fluorescence sensor based on maleimide functionalized TPE as an indicator. Furthermore, a 3D-printed fluorescent sensing platform was developed by Jiao et al. to detect OP levels in vegetables quickly. The AIEgen maleimide-functionalized TPE molecule was nonemissive in both solution and solid states, but could be easily illuminated by thiol-ene hydrothiolation reaction. Under alkaline conditions, OPs were hydrolyzed to thiols and reacted with TPE-MI to form a fluorescent thiolated product. Strong emission of the solution was captured and analyzed by a smartphone, and the OPs residue concentration exhibited a linear relationship with the smartphone readout gray value, with the LOD of 0.01–0.5 mg/kg. The analysis time was decreased to 30 min, making the detection of OPs residual concentrations more rapid, sensitive, and portable. Such portable sensing devices were realized with the superior selectivity, excellent photostability, and outstanding signal reliability of AIEgens.

Point-of-Care Testing

In recent years, the use of point-of-care testing (POCT) methods for disease diagnosis and bioassays has attracted widespread interest. The combination of AIEgens with diverse analytical platforms to develop portable and efficient POCT detection devices exhibits significant potential in addition to a promising market value.

As a biomarker for many specific diseases, home monitoring of human serum albumin (HSA) concentration is particularly critical for elderly and chronic disease groups. For the rapid detection of HSA, a microfluidic paper-based analytical device (μPAD) that was based on a ratiometric fluorescence method was demonstrated (Figure 27A). Change from 4MC nanoaggregates to the 4MC-HSA complex resulted in a color change from red to green which was distinguishable to the naked eyes. A linear response toward HSA concentrations over a range from 0 to 9 μM, with a calculated LOD of 16.4 nM and a response time of <3 min was obtained. By integrating 4MC with the cost-effective paper-based platform μPAD, high precision ratiometric detection of HSA in blood samples could be achieved, and the needs for their rapid detection at home could be met.

Urine albumin detection is recommended by multiple clinical practice guidelines for early chronic kidney disease screening. Leukocytes in urine can reflect the occurrence of a body infection or inflammation. Situ, Zheng, and co-workers reported an AIE-based POCT method for rapidly detecting and quantifying microalbuminuria and leukocytes using one drop of urine. The AIE probe TTVP activated its NIR fluorescence in the presence of albumin and leukocyte via hydrophobic or electrostatic interactions. In combination with a smartphone-based detection device, the fluorescence signals were well-separated. This was because after evaporation, due to the coffee ring effect, the urine’s albumin in the droplets was driven and concentrated toward the contact line, while most of the leukocytes were evenly distributed on the contact surface, dominated by gravitational sedimentation. Thereby, simultaneous quantification and analysis of urine’s albumin and leukocytes was successfully achieved within 20 min (Figure 27B). This study provides a rapid, simple, and low-cost approach for urinary POCT analysis. Also, an open platform was designed by Tang and co-workers, which was capable of providing suitable optical excitation for different fluorescence processes, consisting of a flexible optical signal detector, either wired or wireless connection for transferring and storing data, as well as a single computer module to analyze the fluorescence signal locally.− This portable device based on colorimetry was able to detect and monitor albumin, glucose, and creatinine by loading 96-well plates, cuvettes, basements, etc., and with imaging capture and built-in analyzing algorithms to evaluate the Red Green Blue (RGB) color-space values. Ultimately, urinary measurements of the 73 patients with renal diseases using this device were in good agreement with the local clinical results.

Metal-AIEgen frameworks (MAFs), which refer to AIEgens employed as ligands of MOFs, are bright fluorescent materials, with PLQY reaching 99.9%. Jiang et al. reported 1,1,2,2-tetra(4-carboxylphenyl)ethylene (TCPE)@Zr MAFs and their application in POCT sensors. By adding regulators, blue-emissive MAFs were synthesized with different morphologies and sizes, and transparent MAFs@hydrogel composites for stable and ultrasensitive POCT were produced. Compared to the other fluorescent MOFs, the sensitivity of MAFs was enhanced about 1000 times. The authors further explored MAF particles as fluorescent tags for immunodetections, showing a strong binding affinity to label antibodies through simple direct incubation. Due to the high PLQY luminescence efficiency of MAFs particles, LODs of MAFs-based lateral flow immunoassays were lower than conventional QDs-based ones. Therefore, MAFs can be considered as promising next-generation functional materials for POCT sensors.

Summary and Perspective

Emerging from being a seemingly paradoxical photophysical phenomenon, AIE has grown into a vibrant research field over the last two decades due to numerous groundbreaking and trailblazing advancements. While initially focused on fluorescence, the AIE has expanded well beyond this domain. Deepening understanding of the RIM mechanism has endowed AIEgens with additional attractive merits, including enhanced ROS generation ability, photothermal/photoacoustic effects, room temperature phosphorescence, circularly polarized luminescence, etc., offering diverse application prospects for bioimaging, sensing, and therapy. Owing to the great efforts made by scientists worldwide, AIE has also flourished in the areas of life science and healthcare, with collaborations spanning clinical diagnosis, drug delivery, pathology, rehabilitation, and precision medicine. As summarized in this review, the study topics for AIE have been expanded from in vitro proteins and organelles to tissues and living animals. Also, apart from monofluorescence imaging, imaging techniques were significantly expanded to super-resolution, two-photon, NIR, and afterglow imaging. Treatment options have progressed from monotherapy to synergistic therapy, which combines phototherapy (PDT/PTT) with chemotherapy, immunotherapy, or gene therapy.

Up to now, a plethora of AIE materials have been prepared in different laboratories, but the issues of high-cost and time-consuming synthetic routes, environmental concerns from the synthetic protocols, poor hydrophilicity, and potential dark toxicity of PSs are still inevitable. In this regard, natural AIEgens derived from biomass sources, with intrinsic advantages of abundance, sustainability, biodegradability and pharmacological activity, may offer a promising alternative to conventional artificial AIEgens. Such natural AIEgens can be divided into nonaromatic and aromatic structures., Nonaromatic biomass sources for natural AIEgens are primarily composed of polysaccharides such as cellulose, hemicellulose, sodium alginate, starch, and chitosan, as well as monosaccharides including glucose, xylose, fructose, and galactose. Early reports on the emission behavior of these materials go back to the observation of fluorescence and phosphorescence in solid powders of starch and cellulose. These natural luminophores generally possess nonconjugated structures containing subgroups, such as ether, hydroxyl, carbonyl, and carboxyl, and tend to form strong hydrogen-bonding interactions with each other. As a result, these oxygen-incorporating units form clusters in concentrated solutions or the solid state. In contrast to through-bond conjugation of aromatic structures, through-space conjugation occurs in the oxygen clusters. Aromatic natural AIEgens are primarily derived from the secondary metabolites of plants, and reported aromatic AIEgens to include lignin, quercetin, berberine chloride, tannic acid, riboflavin, palmatine, myricetin, etc.− Recent studies indicated that aromatic AIEgens, such as lignin, tannin acid and caffeic acid, could exhibit RTP when trapped in a polymer/inorganic matrix.− While many natural AIEgens have been reported in recent years, they represent only a small fraction of the vast library of natural products. We believe that there are still a large number of AIE-active natural products waiting to be discovered and explored. In addition to studying their luminescence properties, further investigations into pharmacological mechanisms as well as applications in diagnosis and therapy are desired.

Based on this review, we envision some critical issues in biological applications that need to be carefully considered:

For improving background signal in bioimaging, further efforts should be focused on NIR-II imaging, multiphoton fluorescence microscopy, and afterglow luminescence. Bioimaging in the NIR-II window (1000–1700 nm), and especially the NIR-IIb window (1500–1700 nm), enables deeper tissue penetration and higher spatial resolution, thus providing a high signal-to-noise ratio. However, currently available NIR-IIb AIEgens still lag behind their NIR-IIa counterparts and suffer from a relatively low brightness. To address the limitations of the current NIR-IIb AIE agents, novel systems with a high PLQY in the NIR-IIb region and a large absorption coefficient at the wavelength of the laser excitation should be developed. Furthermore, combinations of hybrid nanomaterials, such as AIEgens coupled with upconversion NPs, can enable both excitation and emission in the NIR region. Multiphoton fluorescence microscopy offers deeper penetration depth and better optical focusing due to much lower light scattering, resulting in an ultrahigh signal-to-background ratio and better sectioning ability as compared to the traditional single-photon microscopy. The confined imaging area is the main limitation of multiphoton fluorescence microscopy, particularly three-photon excited emission. Afterglow imaging has emerged as an alternative to NIR-II imaging or multiphoton fluorescence microscopy as it enables satisfactory background signals with high contrast as well as long-time monitoring. However, afterglow luminescence is relatively weak compared to fluorescence, and its intensity becomes even weaker over time. Therefore, efforts should focus on both enhancing the PLQY and prolonging the lifetimes of AIE-active afterglow agents. Another issue to address is the stability of afterglow emission in complex biological environments, where it can be easily quenched (e.g., by singlet oxygen). More importantly, multimodal imaging combining the above-mentioned or other imaging techniques is a feasible approach to improve the quality of biomedical imaging.

The translation of AIE materials from the laboratory to the clinical environment still faces several challenges that need to be addressed. Interference by the dynamic and complex environment of in vivo diagnosis and treatment, AIEgens may undergo different chemical reactions and physical changes caused by unknown species, such as oxidation, fluorescence quenching, and unexpected aggregation or disaggregation. Thus, the challenge is to maintain the high specificity and sensitivity of AIEgens in real samples. In addition, maintaining the photostability of AIE agents in complex biological systems for in vivo long-term monitoring, such as in cases of tumor metastasis and organ transplantation, is crucial. Biosafety, especially the long-term safety of AIEgens, is another significant concern in the clinical translation process. Despite abundant reports indicating the biocompatibility of AIEgens, it is essential to conduct further research into the pharmacokinetics and metabolism of AIEgens via established long-term toxicological evaluations. Moreover, the translation of AIE materials from the laboratory to the clinic necessitates regulatory approval from relevant authorities such as the Food and Drug Administration (FDA). This process involves extensive documentation and validation of the safety, efficacy, and quality of AIE materials, as well as compliance with various regulatory requirements and guidelines.

With the advent of big data, artificial intelligence (AI) has provided opportunities for advancing research in the AIE field. In this regard, a universal and versatile database on aggregate science research named ASBase has been built. One of the areas where AI can be used in the design and synthesis of AIE-active molecules. By analyzing the large data sets of chemical structures, and photophysical and physicochemical properties of AIE compounds in different aggregate states, AI algorithms can quickly screen potential candidates and predict their performance. It is expected that this will significantly accelerate the discovery of novel AIEgens and reduce time-consuming and high-cost synthesis and characterizations. Big data can also enable real-time data analysis and interpretation, allowing for more accurate and reliable detection and monitoring. Thus, we anticipate that AI-assisted research will become a vital aspect of AIE research.

AIE materials have already shown promising potential in the fields of health and life science. Moving forward, we firmly believe that AIE can continue to take the central stage at the forefront of life science, particularly in the areas of neurodegenerative diseases, phase separation, cell communication, and optogenetics. To that end, significant efforts are to invest in AIE research, driving innovation and progress to improve our life and health. With ongoing exploration and development, we expect that AIE will make revolutionary discoveries and create innovative methods toward understanding biological systems and improving human health.

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    Zhang X.; Shen S.; Liu D.; Li X.; Shi W.; Ma H. Combination of changeable π-conjugation and hydrophilic groups for developing water-soluble small-molecule NIR-II fluorogenic probes. Chem. Sci. 2023, 14 (11), 2928–2934..

    Not in our library10.1039/d3sc00355h

  13. 13.

    Kang C.; Tao S.; Yang F.; Yang B. Aggregation and luminescence in carbonized polymer dots. Aggregate 2022, 3 (2), e169.

    Not in our library10.1002/agt2.169

  14. 14.

    Chen T.; Lin H.; Cao Y.; Yao Q.; Xie J. Interactions of Metal Nanoclusters with Light: Fundamentals and Applications. Adv. Mater. 2022, 34 (25), 2103918.

    Not in our library10.1002/adma.202103918

  15. 15.

    Li W.-J.; Wang X.-Q.; Zhang D.-Y.; Hu Y.-X.; Xu W.-T.; Xu L.; Wang W.; Yang H.-B. Artificial Light-Harvesting Systems Based on AIEgen-branched Rotaxane Dendrimers for Efficient Photocatalysis. Angew. Chem., Int. Ed. 2021, 60 (34), 18761–18768..

    Not in our library10.1002/anie.202106035

  16. 16.

    Bi S.; Deng Z.; Huang J.; Wen X.; Zeng S. NIR-II Responsive Upconversion Nanoprobe with Simultaneously Enhanced Single-Band Red Luminescence and Phase/Size Control for Bioimaging and Photodynamic Therapy. Adv. Mater. 2023, 35 (7), 2207038.

    Not in our library10.1002/adma.202207038

  17. 17.

    Zhao M.; Li B.; Wang P.; Lu L.; Zhang Z.; Liu L.; Wang S.; Li D.; Wang R.; Zhang F. Supramolecularly Engineered NIR-II and Upconversion Nanoparticles In Vivo Assembly and Disassembly to Improve Bioimaging. Adv. Mater. 2018, 30 (52), 1804982.

    Not in our library10.1002/adma.201804982

  18. 18.

    Liu J.; Geng Y.; Li D.; Yao H.; Huo Z.; Li Y.; Zhang K.; Zhu S.; Wei H.; Xu W.; Jiang J.; Yang B. Deep Red Emissive Carbonized Polymer Dots with Unprecedented Narrow Full Width at Half Maximum. Adv. Mater. 2020, 32 (17), 1906641.

    Not in our library10.1002/adma.201906641

  19. 19.

    Lu W.; Wei S.; Shi H.; Le X.; Yin G.; Chen T. Progress in aggregation-induced emission-active fluorescent polymeric hydrogels. Aggregate 2021, 2 (3), e37.

    Not in our library10.1002/agt2.37

  20. 20.

    Pan Y.; Zhu Y.; Xu C.; Pan C.; Shi Y.; Zou J.; Li Y.; Hu X.; Zhou B.; Zhao C.; Gao Q.; Zhang J.; Wu A.; Chen X.; Li J. Biomimetic Yolk-Shell Nanocatalysts for Activatable Dual-Modal-Image-Guided Triple-Augmented Chemodynamic Therapy of Cancer. ACS Nano 2022, 16 (11), 19038–19052..

    Not in our library10.1021/acsnano.2c08077

  21. 21.

    Shi X.; Zhang J.; Liu J.; Zhao X.; Wang H.; Wei P.; Zhang X.; Ni X.-L.; Sung H. H. Y.; Williams I. D.; Ng W. K.; Wong K. S.; Lam J. W. Y.; Wang L.; Jin H.; Tang B. Z. Hierarchical Supramolecular Self-Assembly: Fabrication and Visualization of Multiblock Microstructures. Angew. Chem., Int. Ed. 2022, 61 (49), e202211298.

    Not in our library10.1002/anie.202211298

  22. 22.

    Shi Y.-e.; Ma J.; Feng A.; Wang Z.; Rogach A. L. Aggregation-induced emission of copper nanoclusters. Aggregate 2021, 2 (6), e112.

    Not in our library10.1002/agt2.112

  23. 23.

    He W.; Zhang T.; Bai H.; Kwok R. T. K.; Lam J. W. Y.; Tang B. Z. Recent Advances in Aggregation-Induced Emission Materials and Their Biomedical and Healthcare Applications. Adv. Healthcare Mater. 2021, 10 (24), 2101055.

    Not in our library10.1002/adhm.202101055

  24. 24.

    Mei J.; Leung N. L.; Kwok R. T.; Lam J. W.; Tang B. Z. Aggregation-Induced Emission: Together We Shine, United We Soar!. Chem. Rev. 2015, 115 (21), 11718–11940..

    Not in our library10.1021/acs.chemrev.5b00263

  25. 25.

    Wang H.; Xing H.; Gong J.; Zhang H.; Zhang J.; Wei P.; Yang G.; Lam J. W. Y.; Lu R.; Tang B. Z. Living” luminogens: light driven ACQ-to-AIE transformation accompanied with solid-state actuation. Mater. Horizons 2020, 7 (6), 1566–1572..

    Not in our library10.1039/d0mh00447b

  26. 26.

    Zhang J.; Hu L.; Zhang K.; Liu J.; Li X.; Wang H.; Wang Z.; Sung H. H. Y.; Williams I. D.; Zeng Z.; Lam J. W. Y.; Zhang H.; Tang B. Z. How to Manipulate Through-Space Conjugation and Clusteroluminescence of Simple AIEgens with Isolated Phenyl Rings. J. Am. Chem. Soc. 2021, 143 (25), 9565–9574..

    Not in our library10.1021/jacs.1c03882

  27. 27.

    Zhao Z.; Zhang H.; Lam J. W. Y.; Tang B. Z. Aggregation-Induced Emission: New Vistas at the Aggregate Level. Angew. Chem., Int. Ed. 2020, 59 (25), 9888–9907..

    Not in our library10.1002/anie.201916729

  28. 28.

    Luo J.; Xie Z.; Lam J. W. Y.; Cheng L.; Chen H.; Qiu C.; Kwok H. S.; Zhan X.; Liu Y.; Zhu D.; Tang B. Z. Aggregation-induced emission of 1-methyl-1,2,3,4,5-pentaphenylsilole. Chem. Commun. 2001, 1740–1741..

    Not in our library10.1039/b105159h

  29. 29.

    Mei J.; Hong Y.; Lam J. W. Y.; Qin A.; Tang Y.; Tang B. Z. Aggregation-Induced Emission: The Whole Is More Brilliant than the Parts. Adv. Mater. 2014, 26 (31), 5429–5479..

    Not in our library10.1002/adma.201401356

  30. 30.

    Zhang H.; Zhao Z.; Turley A. T.; Wang L.; McGonigal P. R.; Tu Y.; Li Y.; Wang Z.; Kwok R. T. K.; Lam J. W. Y.; Tang B. Z. Aggregate Science: From Structures to Properties. Adv. Mater. 2020, 32 (36), e2001457.

    Not in our library10.1002/adma.202001457

  31. 31.

    Zhang J.; Zhang H.; Lam J. W. Y.; Tang B. Z. Restriction of Intramolecular Motion(RIM): Investigating AIE Mechanism from Experimental and Theoretical Studies. Chemical Research in Chinese Universities 2021, 37 (1), 1–15..

    Not in our library10.1007/s40242-021-0381-6

  32. 32.

    Guan J.; Shen C.; Peng J.; Zheng J. What Leads to Aggregation-Induced Emission?. J. Phys. Chem. Lett. 2021, 12 (17), 4218–4226..

    Not in our library10.1021/acs.jpclett.0c03861

  33. 33.
  34. 34.

    Wang H.; Li Q.; Zhang J.; Zhang H.; Shu Y.; Zhao Z.; Jiang W.; Du L.; Phillips D. L.; Lam J. W. Y.; Sung H. H. Y.; Williams I. D.; Lu R.; Tang B. Z. Visualization and Manipulation of Solid-State Molecular Motions in Cocrystallization Processes. J. Am. Chem. Soc. 2021, 143 (25), 9468–9477..

    Not in our library10.1021/jacs.1c02594

  35. 35.

    Zhang J.; Shen H.; Liu X.; Yang X.; Broman S. L.; Wang H.; Li Q.; Lam J. W. Y.; Zhang H.; Cacciarini M.; Nielsen M. B.; Tang B. Z. A Dihydroazulene-Based Photofluorochromic AIE System for Rewritable 4D Information Encryption. Angew. Chem., Int. Ed. 2022, 61 (37), e202208460.

    Not in our library10.1002/anie.202208460

  36. 36.

    Leung N. L. C.; Xie N.; Yuan W.; Liu Y.; Wu Q.; Peng Q.; Miao Q.; Lam J. W. Y.; Tang B. Z. Restriction of Intramolecular Motions: The General Mechanism behind Aggregation-Induced Emission. Chem. Eur. J. 2014, 20 (47), 15349–15353..

    Not in our library10.1002/chem.201403811

  37. 37.

    Suzuki S.; Sasaki S.; Sairi A. S.; Iwai R.; Tang B. Z.; Konishi G.-i. Principles of Aggregation-Induced Emission: Design of Deactivation Pathways for Advanced AIEgens and Applications. Angew. Chem., Int. Ed. 2020, 59 (25), 9856–9867..

    Not in our library10.1002/anie.202000940

  38. 38.

    Yin P.-A.; Ou Q.; Peng Q.; Shuai Z. Substituent-controlled aggregate luminescence: Computational unraveling of S1/S0 surface crossing. Aggregate 2022, 4 (3), e291.

    Not in our library10.1002/agt2.291

  39. 39.

    Chen W.; Tao W. Precise control of the structure of synthetic hydrogel networks for precision medicine applications. Matter 2022, 5 (1), 18–19..

    Not in our library10.1016/j.matt.2021.12.007

  40. 40.

    Zhao E.; Chen S. Materials with aggregation-induced emission characteristics for applications in diagnosis, theragnosis, disease mechanism study and personalized medicine. Mater. Chem. Front. 2021, 5 (8), 3322–3343..

    Not in our library10.1039/d0qm01132k

  41. 41.

    Sayed S. M.; Jia H.-R.; Jiang Y.-W.; Zhu Y.-X.; Ma L.; Yin F.; Hussain I.; Khan A.; Ma Q.; Wu F.-G.; Lu X. Photostable AIE probes for wash-free, ultrafast, and high-quality plasma membrane staining. J. Mater. Chem. B 2021, 9 (21), 4303–4308..

    Not in our library10.1039/d1tb00049g

  42. 42.

    Zheng Y.; Ding Y.; Zheng X.; Zhang C.; Zhang Y.; Xiang Y.; Tong A. Long-Term Dynamic Imaging of Cellular Processes Using an AIE Lipid Order Probe in the Dual-Color Mode. Anal. Chem. 2021, 93 (29), 10272–10281..

    Not in our library10.1021/acs.analchem.1c01681

  43. 43.

    Xing X.; Jia Y.; Zhang J.; Wu Z.; Qin M.; Li P.; Feng X.; Sun Y.; Zhao G. A novel aggregation induced emission (AIE) fluorescence probe by combining tetraphenylethylene and 2′,3′-O-isopropylideneadenosine for localizing Golgi apparatus. Sens. Actuator B 2021, 329, 129245.

    Not in our library10.1016/j.snb.2020.129245

  44. 44.

    Ingle J.; Basu S. Mitochondria Targeted AIE Probes for Cancer Phototherapy. ACS Omega 2023, 8 (10), 8925–8935..

    Not in our library10.1021/acsomega.3c00203

  45. 45.

    Jang S. E.; Qiu L.; Cai X.; Lee J. W. L.; Zhang W.; Tan E.-K.; Liu B.; Zeng L. Aggregation-induced emission (AIE) nanoparticles labeled human embryonic stem cells (hESCs)-derived neurons for transplantation. Biomaterials 2021, 271, 120747.

    Not in our library10.1016/j.biomaterials.2021.120747

  46. 46.

    Li Q.; Gong J.; Li Y.; Zhang R.; Wang H.; Zhang J.; Yan H.; Lam J. W. Y.; Sung H. H. Y.; Williams I. D.; Kwok R. T. K.; Li M.-H.; Wang J.; Tang B. Z. Unusual light-driven amplification through unexpected regioselective photogeneration of five-membered azaheterocyclic AIEgen. Chem. Sci. 2021, 12 (2), 709–717..

    Not in our library10.1039/d0sc04725b

  47. 47.

    Tang F.; Liu J.-Y.; Wu C.-Y.; Liang Y.-X.; Lu Z.-L.; Ding A.-X.; Xu M.-D. Two-Photon Near-Infrared AIE Luminogens as Multifunctional Gene Carriers for Cancer Theranostics. ACS Appl. Mater. Interfaces 2021, 13 (20), 23384–23395..

    Not in our library10.1021/acsami.1c02600

  48. 48.

    Li S.; He M.; Jin X.; Geng W.; Li C.; Li X.; Zhang Z.; Qian J.; Hua J. Extending the Stokes Shifts of Donor-Acceptor Fluorophores by Regulating the Donor Configuration for In Vivo Three-Photon Fluorescence Imaging. Chem. Mater. 2022, 34 (13), 5999–6008..

    Not in our library10.1021/acs.chemmater.2c01025

  49. 49.

    Yang Z.; Yin W.; Zhang S.; Shah I.; Zhang B.; Zhang S.; Li Z.; Lei Z.; Ma H. Synthesis of AIE-Active Materials with Their Applications for Antibacterial Activity, Specific Imaging of Mitochondrion and Image-Guided Photodynamic Therapy. ACS Appl. Bio Mater. 2020, 3 (2), 1187–1196..

    Not in our library10.1021/acsabm.9b01094

  50. 50.

    Kong X.; Li M.; Zhang Y.; Yin Y.; Lin W. Engineering an AIE N2H4 fluorescent probe based on α-cyanostilbene derivative with large Stokes shift and its versatile applications in solution, solid-state and biological systems. Sens. Actuator B 2021, 329, 129232.

    Not in our library10.1016/j.snb.2020.129232

  51. 51.

    Corsini F.; Nitti A.; Tatsi E.; Mattioli G.; Botta C.; Pasini D.; Griffini G. Large-Area Semi-Transparent Luminescent Solar Concentrators Based on Large Stokes Shift Aggregation-Induced Fluorinated Emitters Obtained Through a Sustainable Synthetic Approach. Adv. Opt. Mater. 2021, 9 (16), 2100182.

    Not in our library10.1002/adom.202100182

  52. 52.

    Liu Y.; Teng L.; Xu C.; Ren T.-B.; Xu S.; Lou X.; Yuan L.; Zhang X.-B. An Integration Strategy to Develop Dual-State Luminophores with Tunable Spectra, Large Stokes Shift, and Activatable Fluorescence for High-Contrast Imaging. CCS Chemistry 2022, 4 (6), 2153–2164..

    Not in our library10.31635/ccschem.021.202100935

  53. 53.

    Xu L.; Liang X.; Zhong S.; Gao Y.; Cui X. Seeking brightness from nature: Sustainable AIE macromolecule with clustering-triggered emission of xanthan gum and its multiple applications. Colloids Surf., B 2021, 206, 111961.

    Not in our library10.1016/j.colsurfb.2021.111961

  54. 54.

    Wan W.; Zhao Q.; Jing B.; Peng C.; Wang M.; Huang Y.; Jin W.; Zhong B.; Zhang Z.; Dong X.; Gao Z.; Zhang L.; Liu Y. Interrogating the impact of aggregation-induced emission nanoparticles on in vitro protein stability, ex vivo protein homeostasis, and in vivo biocompatibility. Aggregate 2022, 3 (6), e274.

    Not in our library10.1002/agt2.274

  55. 55.

    Cong Z.; Xie S.; Jiang Z.; Zheng S.; Wang W.; Wang W.; Song H. In vivo photodynamic therapy based on Near-Infrared AIE cationic polymers. Chemical Engineering Journal 2022, 431, 133748.

    Not in our library10.1016/j.cej.2021.133748

  56. 56.

    Zhu H.; Wang S.; Wang Y.; Song C.; Yao Q.; Yuan X.; Xie J. Gold nanocluster with AIE: A novel photodynamic antibacterial and deodorant molecule. Biomaterials 2022, 288, 121695.

    Not in our library10.1016/j.biomaterials.2022.121695

  57. 57.

    Xu R.; Zhang P.; Shen Q.; Zhou Y.; Wang Z.; Xu Y.; Meng L.; Dang D.; Zhong Tang B. AIE nanocrystals: Emerging nanolights with ultra-high brightness for biological application. Coordin. Chem. Rev. 2023, 477, 214944.

    Not in our library10.1016/j.ccr.2022.214944

  58. 58.

    Xu R.; Chi W.; Zhao Y.; Tang Y.; Jing X.; Wang Z.; Zhou Y.; Shen Q.; Zhang J.; Yang Z.; Dang D.; Meng L. All-in-One Theranostic Platforms: Deep-Red AIE Nanocrystals to Target Dual-Organelles for Efficient Photodynamic Therapy. ACS Nano 2022, 16 (12), 20151–20162..

    Not in our library10.1021/acsnano.2c04465

  59. 59.

    Mu J.; Xiao M.; Shi Y.; Geng X.; Li H.; Yin Y.; Chen X. The Chemistry of Organic Contrast Agents in the NIR-II Window. Angew. Chem., Int. Ed. 2022, 61 (14), e202114722.

    Not in our library10.1002/anie.202114722

  60. 60.

    Ye L.; Lv C.; Yao Y.; Wang K.; Song Q.; Wang K.; Zhang C.; Zhang Y. Deep-Red Fluorescence from AIE-Active Luminophore: High-Brightness and Wide-Range Piezochromism. ChemistrySelect 2022, 7 (19), e202201148.

    Not in our library10.1002/slct.202201148

  61. 61.

    Reisch A.; Klymchenko A. S. Fluorescent Polymer Nanoparticles Based on Dyes: Seeking Brighter Tools for Bioimaging. Small 2016, 12 (15), 1968–1992..

    Not in our library10.1002/smll.201503396

  62. 62.

    He S.; Song J.; Qu J.; Cheng Z. Crucial breakthrough of second near-infrared biological window fluorophores: design and synthesis toward multimodal imaging and theranostics. Chem. Soc. Rev. 2018, 47 (12), 4258–4278..

    Not in our library10.1039/c8cs00234g

  63. 63.

    Wang Z.; Zhou Y.; Xu R.; Xu Y.; Dang D.; Shen Q.; Meng L.; Tang B. Z. Seeing the unseen: AIE luminogens for super-resolution imaging. Coordin. Chem. Rev. 2022, 451, 214279.

    Not in our library10.1016/j.ccr.2021.214279

  64. 64.

    Zhao Z.; Lam J. W. Y.; Tang B. Z. Tetraphenylethene: a versatile AIE building block for the construction of efficient luminescent materials for organic light-emitting diodes. J. Mater. Chem. 2012, 22 (45), 23726–23740..

    Not in our library10.1039/c2jm31949g

  65. 65.

    Hu F.; Xu S.; Liu B. Photosensitizers with Aggregation-Induced Emission: Materials and Biomedical Applications. Adv. Mater. 2018, 30 (45), 1801350.

    Not in our library10.1002/adma.201801350

  66. 66.

    Qian J.; Tang B. Z. AIE Luminogens for Bioimaging and Theranostics: From Organelles to Animals. Chem. 2017, 3 (1), 56–91..

    Not in our library10.1016/j.chempr.2017.05.010

  67. 67.

    Feng G.; Zhang G.-Q.; Ding D. Design of superior phototheranostic agents guided by Jablonski diagrams. Chem. Soc. Rev. 2020, 49 (22), 8179–8234..

    Not in our library10.1039/d0cs00671h

  68. 68.

    Li Q.; Li Y.; Min T.; Gong J.; Du L.; Phillips D. L.; Liu J.; Lam J. W. Y.; Sung H. H. Y.; Williams I. D.; Kwok R. T. K.; Ho C. L.; Li K.; Wang J.; Tang B. Z. Time-Dependent Photodynamic Therapy for Multiple Targets: A Highly Efficient AIE-Active Photosensitizer for Selective Bacterial Elimination and Cancer Cell Ablation. Angew. Chem., Int. Ed. 2020, 59 (24), 9470–9477..

    Not in our library10.1002/anie.201909706

  69. 69.

    He B.; Zhang J.; Zhang J.; Zhang H.; Wu X.; Chen X.; Kei K. H. S.; Qin A.; Sung H. H. Y.; Lam J. W. Y.; Tang B. Z. Clusteroluminescence from Cluster Excitons in Small Heterocyclics Free of Aromatic Rings. Adv. Sci. 2021, 8 (7), 2004299.

    Not in our library10.1002/advs.202004299

  70. 70.

    Xu C.; Ye R.; Shen H.; Lam J. W. Y.; Zhao Z.; Zhong Tang B. Molecular Motion and Nonradiative Decay: Towards Efficient Photothermal and Photoacoustic Systems. Angew. Chem., Int. Ed. 2022, 61 (30), e202204604.

    Not in our library10.1002/anie.202204604

  71. 71.

    Li H.; Wen H.; Li J.; Huang J.; Wang D.; Tang B. Z. Doping AIE Photothermal Molecule into All-Fiber Aerogel with Self-Pumping Water Function for Efficiency Solar Steam Generation. ACS Appl. Mater. Interfaces 2020, 12 (23), 26033–26040..

    Not in our library10.1021/acsami.0c06181

  72. 72.
  73. 73.

    Yao Y.; Ding P.; Yan C.; Tao Y.; Peng B.; Liu W.; Wang J.; Cohen Stuart M. A.; Guo Z. Fluorescent Probes Based on AIEgen-Mediated Polyelectrolyte Assemblies for Manipulating Intramolecular Motion and Magnetic Relaxivity. Angew. Chem., Int. Ed. 2023, 62 (13), e202218983.

    Not in our library10.1002/anie.202218983

  74. 74.

    Li Y.; Fan X.; Li Y.; Zhu L.; Chen R.; Zhang Y.; Ni H.; Xia Q.; Feng Z.; Tang B. Z.; Qian J.; Lin H. Biologically excretable AIE nanoparticles wear tumor cell-derived “exosome caps” for efficient NIR-II fluorescence imaging-guided photothermal therapy. Nano Today 2021, 41, 101333.

    Not in our library10.1016/j.nantod.2021.101333

  75. 75.

    Li B.; Wang W.; Zhao L.; Yan D.; Li X.; Gao Q.; Zheng J.; Zhou S.; Lai S.; Feng Y.; Zhang J.; Jiang H.; Long C.; Gan W.; Chen X.; Wang D.; Tang B. Z.; Liao Y. Multifunctional AIE Nanosphere-Based “Nanobomb” for Trimodal Imaging-Guided Photothermal/Photodynamic/Pharmacological Therapy of Drug-Resistant Bacterial Infections. ACS Nano 2023, 17 (5), 4601–4618..

    Not in our library10.1021/acsnano.2c10694

  76. 76.

    Yang Z.; Zhang Z.; Lei Z.; Wang D.; Ma H.; Tang B. Z. Precise Molecular Engineering of Small Organic Phototheranostic Agents toward Multimodal Imaging-Guided Synergistic Therapy. ACS Nano 2021, 15 (4), 7328–7339..

    Not in our library10.1021/acsnano.1c00585

  77. 77.

    Zhang T.; Zhang J.; Wang F.-B.; Cao H.; Zhu D.; Chen X.; Xu C.; Yang X.; Huang W.; Wang Z.; Wang J.; He Z.; Zheng Z.; Lam J. W. Y.; Tang B. Z. Mitochondria-Targeting Phototheranostics by Aggregation-Induced NIR-II Emission Luminogens: Modulating Intramolecular Motion by Electron Acceptor Engineering for Multi-Modal Synergistic Therapy. Adv. Funct. Mater. 2022, 32 (16), 2110526.

    Not in our library10.1002/adfm.202110526

  78. 78.

    Cai X.; Liu J.; Liew W. H.; Duan Y.; Geng J.; Thakor N.; Yao K.; Liao L.-D.; Liu B. Organic molecules with propeller structures for efficient photoacoustic imaging and photothermal ablation of cancer cells. Mater. Chem. Front. 2017, 1 (8), 1556–1562..

    Not in our library10.1039/c7qm00056a

  79. 79.

    Sun J.; He X. AIE-based drug/gene delivery system: Evolution from fluorescence monitoring alone to augmented therapeutics. Aggregate 2022, 3 (6), e282.

    Not in our library10.1002/agt2.282

  80. 80.

    Ding K.; Wang L.; Zhu J.; He D.; Huang Y.; Zhang W.; Wang Z.; Qin A.; Hou J.; Tang B. Z. Photo-Enhanced Chemotherapy Performance in Bladder Cancer Treatment via Albumin Coated AIE Aggregates. ACS Nano 2022, 16 (5), 7535–7546..

    Not in our library10.1021/acsnano.1c10770

  81. 81.

    Chen Z.; Wei Z.; Xiao F.; Chao Z.; Lu J.; Wang Z.; Tian L. The Hydrophobicity of AIE Dye Facilitates DNA Condensation for Carrier-Free Gene Therapy. Adv. Funct. Mater. 2022, 32 (47), 2207845.

    Not in our library10.1002/adfm.202207845

  82. 82.

    Liu Z.; Zhang J.; Liu H.; Shen H.; Meng N.; Qi X.; Ding K.; Song J.; Fu R.; Ding D.; Feng G. BSA-AIE Nanoparticles with Boosted ROS Generation for Immunogenic Cell Death Immunotherapy of Multiple Myeloma. Adv. Mater. 2023, 35 (7), 2208692.

    Not in our library10.1002/adma.202208692

  83. 83.

    Zhang Z.; Kang M.; Tan H.; Song N.; Li M.; Xiao P.; Yan D.; Zhang L.; Wang D.; Tang B. Z. The fast-growing field of photo-driven theranostics based on aggregation-induced emission. Chem. Soc. Rev. 2022, 51 (6), 1983–2030..

    Not in our library10.1039/d1cs01138c

  84. 84.

    Hu R.; Yang C.; Wang Y.; Lin G.; Qin W.; Ouyan Q.; Law W.-C.; Nguyen Q. T.; Yoon H. S.; Wang X.; Yong K.-T.; Tang B. Z. Aggregation-induced emission (AIE) dye loaded polymer nanoparticles for gene silencing in pancreatic cancer and their in vitro and in vivo biocompatibility evaluation. Nano Res. 2015, 8 (5), 1563–1576..

    Not in our library10.1007/s12274-014-0642-5

  85. 85.

    Tong H.; Hong Y.; Dong Y.; Häußler M.; Lam J. W. Y.; Li Z.; Guo Z.; Guo Z.; Tang B. Z. Fluorescent “light-up” bioprobes based on tetraphenylethylene derivatives with aggregation-induced emission characteristics. Chem. Commun. 2006, (35), 3705–3707..

    Not in our library10.1039/b608425g

  86. 86.

    Ji C.; Lai L.; Li P.; Wu Z.; Cheng W.; Yin M. Organic dye assemblies with aggregation-induced photophysical changes and their bio-applications. Aggregate 2021, 2 (4), e39.

    Not in our library10.1002/agt2.114

  87. 87.

    Mei J.; Huang Y.; Tian H. Progress and Trends in AIE-Based Bioprobes: A Brief Overview. ACS Appl. Mater. Interfaces 2018, 10 (15), 12217–12261..

    Not in our library10.1021/acsami.7b14343

  88. 88.

    Lee Y.-D.; Lim C.-K.; Singh A.; Koh J.; Kim J.; Kwon I. C.; Kim S. Dye/Peroxalate Aggregated Nanoparticles with Enhanced and Tunable Chemiluminescence for Biomedical Imaging of Hydrogen Peroxide. ACS Nano 2012, 6 (8), 6759–6766..

    Not in our library10.1021/nn3014905

  89. 89.

    Pui-yee Chan C.; Haeussler M.; Zhong Tang B.; Dong Y.; Sin K.-k.; Mak W.-c.; Trau D.; Seydack M.; Renneberg R. Silole nanocrystals as novel biolabels. J. Immunol. Methods 2004, 295 (1), 111–118..

    Not in our library10.1016/j.jim.2004.09.016

  90. 90.
  91. 91.

    Li H.; Kim H.; Han J.; Nguyen V.-N.; Peng X.; Yoon J. Activity-based smart AIEgens for detection, bioimaging, and therapeutics: Recent progress and outlook. Aggregate 2021, 2 (4), e51.

    Not in our library10.1002/agt2.51

  92. 92.

    Wang D.; Qian J.; He S.; Park J. S.; Lee K.-S.; Han S.; Mu Y. Aggregation-enhanced fluorescence in PEGylated phospholipid nanomicelles for in vivo imaging. Biomaterials 2011, 32 (25), 5880–5888..

    Not in our library10.1016/j.biomaterials.2011.04.080

  93. 93.

    Wu W.-C.; Chen C.-Y.; Tian Y.; Jang S.-H.; Hong Y.; Liu Y.; Hu R.; Tang B. Z.; Lee Y.-T.; Chen C.-T.; Chen W.-C.; Jen A. K. Y. Enhancement of Aggregation-Induced Emission in Dye-Encapsulating Polymeric Micelles for Bioimaging. Adv. Funct. Mater. 2010, 20 (9), 1413–1423..

    Not in our library10.1002/adfm.200902043

  94. 94.
  95. 95.

    Satori C. P.; Henderson M. M.; Krautkramer E. A.; Kostal V.; Distefano M. M.; Arriaga E. A. Bioanalysis of Eukaryotic Organelles. Chem. Rev. 2013, 113 (4), 2733–2811..

    Not in our library10.1021/cr300354g

  96. 96.

    Schlessinger J.; Axelrod D.; Koppel D.; Webb W.; Elson E. Lateral transport of a lipid probe and labeled proteins on a cell membrane. Science 1977, 195 (4275), 307–309..

    Not in our library10.1126/science.556653

  97. 97.

    Henze K.; Martin W. Essence of mitochondria. Nature 2003, 426 (6963), 127–128..

    Not in our library10.1038/426127a

  98. 98.

    Thiam A. R.; Farese R. V. Jr; Walther T. C. The biophysics and cell biology of lipid droplets. Nat. Rev. Mol. Cell Biol. 2013, 14 (12), 775–786..

    Not in our library10.1038/nrm3699

  99. 99.

    Settembre C.; Fraldi A.; Medina D. L.; Ballabio A. Signals from the lysosome: a control centre for cellular clearance and energy metabolism. Nat. Rev. Mol. Cell. Biol. 2013, 14, 283.

    Not in our library10.1038/nrm3565

  100. 100.

    Westrate L. M.; Lee J. E.; Prinz W. A.; Voeltz G. K. Form Follows Function: The Importance of Endoplasmic Reticulum Shape. Annu. Rev. Biochem. 2015, 84 (1), 791–811..

    Not in our library10.1146/annurev-biochem-072711-163501

  101. 101.

    Gluchowski N. L.; Becuwe M.; Walther T. C.; Farese Jr R. V. Lipid droplets and liver disease: from basic biology to clinical implications. Nat. Rev. Gastroenterol. Hepatol. 2017, 14 (6), 343–355..

    Not in our library10.1038/nrgastro.2017.32

  102. 102.

    Hoye A. T.; Davoren J. E.; Wipf P.; Fink M. P.; Kagan V. E. Targeting Mitochondria. Acc. Chem. Res. 2008, 41 (1), 87–97..

    Not in our library10.1021/ar700135m

  103. 103.

    Fukuda T.; Ewan L.; Bauer M.; Mattaliano R. J.; Zaal K.; Ralston E.; Plotz P. H.; Raben N. Dysfunction of endocytic and autophagic pathways in a lysosomal storage disease. Ann. Neurol. 2006, 59 (4), 700–708..

    Not in our library10.1002/ana.20807

  104. 104.

    Sasaki S.; Suzuki S.; Sameera W. M. C.; Igawa K.; Morokuma K.; Konishi G.-i. Highly Twisted N,N-Dialkylamines as a Design Strategy to Tune Simple Aromatic Hydrocarbons as Steric Environment-Sensitive Fluorophores. J. Am. Chem. Soc. 2016, 138 (26), 8194–8206..

    Not in our library10.1021/jacs.6b03749

  105. 105.

    Zhang H.; Zheng X.; Xie N.; He Z.; Liu J.; Leung N. L. C.; Niu Y.; Huang X.; Wong K. S.; Kwok R. T. K.; Sung H. H. Y.; Williams I. D.; Qin A.; Lam J. W. Y.; Tang B. Z. Why Do Simple Molecules with ″Isolated″ Phenyl Rings Emit Visible Light?. J. Am. Chem. Soc. 2017, 139 (45), 16264–16272..

    Not in our library10.1021/jacs.7b08592

  106. 106.

    Hu Y.; Yin S.-Y.; Liu W.; Li Z.; Chen Y.; Li J. Rationally designed monoamine oxidase A-activatable AIE molecular photosensitizer for the specific imaging and cellular therapy of tumors. Aggregate 2023, 4 (2), e256.

    Not in our library10.1002/agt2.256

  107. 107.

    Singh H.; Sareen D.; George J. M.; Bhardwaj V.; Rha S.; Lee S. J.; Sharma S.; Sharma A.; Kim J. S. Mitochondria targeted fluorogenic theranostic agents for cancer therapy. Coordin. Chem. Rev. 2022, 452, 214283.

    Not in our library10.1016/j.ccr.2021.214283

  108. 108.

    Li H.; Kim H.; Zhang C.; Zeng S.; Chen Q.; Jia L.; Wang J.; Peng X.; Yoon J. Mitochondria-targeted smart AIEgens: Imaging and therapeutics. Coordin. Chem. Rev. 2022, 473, 214818.

    Not in our library10.1016/j.ccr.2022.214818

  109. 109.

    He X.; Xie H.; Hu L.; Liu P.; Xu C.; He W.; Du W.; Zhang S.; Xing H.; Liu X.; Park H.; Cheung T. S.; Li M.-H.; Kwok R. T. K.; Lam J. W. Y.; Lu J.; Tang B. Z. A versatile AIE fluorogen with selective reactivity to primary amines for monitoring amination, protein labeling, and mitochondrial staining. Aggregate 2023, 4 (1), e239.

    Not in our library10.1002/agt2.239

  110. 110.

    Zhao N.; Chen S.; Hong Y.; Tang B. Z. A red emitting mitochondria-targeted AIE probe as an indicator for membrane potential and mouse sperm activity. Chem. Commun. 2015, 51 (71), 13599–13602..

    Not in our library10.1039/c5cc04731e

  111. 111.

    Li N.; Liu Y. Y.; Li Y.; Zhuang J. B.; Cui R. R.; Gong Q.; Zhao N.; Tang B. Z. Fine Tuning of Emission Behavior, Self-Assembly, Anion Sensing, and Mitochondria Targeting of Pyridinium-Functionalized Tetraphenylethene by Alkyl Chain Engineering. ACS Appl. Mater. Interfaces 2018, 10 (28), 24249–24257..

    Not in our library10.1021/acsami.8b04113

  112. 112.

    Zhao N.; Li P.; Zhuang J.; Liu Y.; Xiao Y.; Qin R.; Li N. Aggregation-Induced Emission Luminogens with the Capability of Wide Color Tuning, Mitochondrial and Bacterial Imaging, and Photodynamic Anticancer and Antibacterial Therapy. ACS Appl. Mater. Interfaces 2019, 11 (12), 11227–11237..

    Not in our library10.1021/acsami.9b01655

  113. 113.

    Wu M.-Y.; Leung J.-K.; Liu L.; Kam C.; Chan K. Y. K.; Li R. A.; Feng S.; Chen S. A Small-Molecule AIE Chromosome Periphery Probe for Cytogenetic Studies. Angew. Chem., Int. Ed. 2020, 59 (26), 10327–10331..

    Not in our library10.1002/anie.201916718

  114. 114.

    Gao M.; Su H.; Lin Y.; Ling X.; Li S.; Qin A.; Tang B. Z. Photoactivatable aggregation-induced emission probes for lipid droplets-specific live cell imaging. Chem. Sci. 2017, 8 (3), 1763–1768..

    Not in our library10.1039/c6sc04842k

  115. 115.

    Li S.; Ling X.; Lin Y.; Qin A.; Gao M.; Tang B. Z. In situ generation of photoactivatable aggregation-induced emission probes for organelle-specific imaging. Chem. Sci. 2018, 9 (26), 5730–5735..

    Not in our library10.1039/c8sc01887a

  116. 116.

    Hu Z.; Fang C.; Li B.; Zhang Z.; Cao C.; Cai M.; Su S.; Sun X.; Shi X.; Li C.; Zhou T.; Zhang Y.; Chi C.; He P.; Xia X.; Chen Y.; Gambhir S. S.; Cheng Z.; Tian J. First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows. Nat. Biomed. Eng. 2020, 4 (3), 259–271..

    Not in our library10.1038/s41551-019-0494-0

  117. 117.

    Wang T.; Ouzounov D. G.; Wu C.; Horton N. G.; Zhang B.; Wu C.-H.; Zhang Y.; Schnitzer M. J.; Xu C. Three-photon imaging of mouse brain structure and function through the intact skull. Nat. Methods 2018, 15 (10), 789–792..

    Not in our library10.1038/s41592-018-0115-y

  118. 118.

    Blom H.; Widengren J. Stimulated Emission Depletion Microscopy. Chem. Rev. 2017, 117 (11), 7377–7427..

    Not in our library10.1021/acs.chemrev.6b00653

  119. 119.

    Wu Y.; Shroff H. Faster, sharper, and deeper: structured illumination microscopy for biological imaging. Nat. Methods 2018, 15 (12), 1011–1019..

    Not in our library10.1038/s41592-018-0211-z

  120. 120.

    Gu X.; Zhao E.; Zhao T.; Kang M.; Gui C.; Lam J. W. Y.; Du S.; Loy M. M. T.; Tang B. Z. A Mitochondrion-Specific Photoactivatable Fluorescence Turn-On AIE-Based Bioprobe for Localization Super-Resolution Microscope. Adv. Mater. 2016, 28 (25), 5064–5071..

    Not in our library10.1002/adma.201505906

  121. 121.

    Dang D.; Zhang H.; Xu Y.; Xu R.; Wang Z.; Kwok R. T. K.; Lam J. W. Y.; Zhang L.; Meng L.; Tang B. Z. Super-Resolution Visualization of Self-Assembling Helical Fibers Using Aggregation-Induced Emission Luminogens in Stimulated Emission Depletion Nanoscopy. ACS Nano 2019, 13 (10), 11863–11873..

    Not in our library10.1021/acsnano.9b05914

  122. 122.

    Shen Q.; Xu R.; Wang Z.; Zhao T.; Zhou Y.; Xu Y.; Yang Z.; Lei M.; Meng L.; Dang D. Donor-Acceptor Typed AIE Luminogens with Near-infrared Emission for Super-resolution Imaging. Chemical Research in Chinese Universities 2021, 37 (1), 143–149..

    Not in our library10.1007/s40242-021-0390-5

  123. 123.

    Xu Y.; Zhang H.; Zhang N.; Xu R.; Wang Z.; Zhou Y.; Shen Q.; Dang D.; Meng L.; Tang B. Z. An easily synthesized AIE luminogen for lipid droplet-specific super-resolution imaging and two-photon imaging. Mater. Chem. Front. 2021, 5 (4), 1872–1883..

    Not in our library10.1039/d0qm00682c

  124. 124.

    Xu Y.; Zhang H.; Zhang N.; Wang X.; Dang D.; Jing X.; Xi D.; Hao Y.; Tang B. Z.; Meng L. Deep-Red Fluorescent Organic Nanoparticles with High Brightness and Photostability for Super-Resolution in Vitro and in Vivo Imaging Using STED Nanoscopy. ACS Appl. Mater. Interfaces 2020, 12 (6), 6814–6826..

    Not in our library10.1021/acsami.9b18336

  125. 125.

    Fateminia S. M. A.; Wang Z.; Goh C. C.; Manghnani P. N.; Wu W.; Mao D.; Ng L. G.; Zhao Z.; Tang B. Z.; Liu B. Nanocrystallization: A Unique Approach to Yield Bright Organic Nanocrystals for Biological Applications. Adv. Mater. 2017, 29 (1), 1604100.

    Not in our library10.1002/adma.201604100

  126. 126.

    Zheng Z.; Li D.; Liu Z.; Peng H.-Q.; Sung H. H. Y.; Kwok R. T. K.; Williams I. D.; Lam J. W. Y.; Qian J.; Tang B. Z. Aggregation-Induced Nonlinear Optical Effects of AIEgen Nanocrystals for Ultradeep In Vivo Bioimaging. Adv. Mater. 2019, 31 (44), 1904799.

    Not in our library10.1002/adma.201904799

  127. 127.

    Xu R.; Dang D.; Wang Z.; Zhou Y.; Xu Y.; Zhao Y.; Wang X.; Yang Z.; Meng L. Facilely prepared aggregation-induced emission (AIE) nanocrystals with deep-red emission for super-resolution imaging. Chem. Sci. 2022, 13 (5), 1270–1280..

    Not in our library10.1039/d1sc04254h

  128. 128.

    Xu Y.; Dang D.; Zhang N.; Zhang J.; Xu R.; Wang Z.; Zhou Y.; Zhang H.; Liu H.; Yang Z.; Meng L.; Lam J. W. Y.; Tang B. Z. Aggregation-Induced Emission (AIE) in Super-resolution Imaging: Cationic AIE Luminogens (AIEgens) for Tunable Organelle-Specific Imaging and Dynamic Tracking in Nanometer Scale. ACS Nano 2022, 16 (4), 5932–5942..

    Not in our library10.1021/acsnano.1c11125

  129. 129.

    Wang W.-J.; Ling Y.-Y.; Zhong Y.-M.; Li Z.-Y.; Tan C.-P.; Mao Z.-W. Ferroptosis-Enhanced Cancer Immunity by a Ferrocene-Appended Iridium(III) Diphosphine Complex. Angew. Chem., Int. Ed. 2022, 61 (16), e202115247.

    Not in our library10.1002/anie.202115247

  130. 130.

    Wagner J.; Gößl D.; Ustyanovska N.; Xiong M.; Hauser D.; Zhuzhgova O.; Hočevar S.; Taskoparan B.; Poller L.; Datz S.; Engelke H.; Daali Y.; Bein T.; Bourquin C. Mesoporous Silica Nanoparticles as pH-Responsive Carrier for the Immune-Activating Drug Resiquimod Enhance the Local Immune Response in Mice. ACS Nano 2021, 15 (3), 4450–4466..

    Not in our library10.1021/acsnano.0c08384

  131. 131.
  132. 132.

    He L.; Tan C.-P.; Ye R.-R.; Zhao Y.-Z.; Liu Y.-H.; Zhao Q.; Ji L.-N.; Mao Z.-W. Theranostic Iridium(III) Complexes as One- and Two-Photon Phosphorescent Trackers to Monitor Autophagic Lysosomes. Angew. Chem., Int. Ed. 2014, 53 (45), 12137–12141..

    Not in our library10.1002/anie.201407468

  133. 133.

    Hao L.; Ling Y.-Y.; Huang Z.-X.; Pan Z.-Y.; Tan C.-P.; Mao Z.-W. Real-time tracking of ER turnover during ERLAD by a rhenium complex via lifetime imaging. National Sci. Rev. 2021, 9 (7), nwab194.

    Not in our library10.1093/nsr/nwab194

  134. 134.

    Liu L.-Y.; Fang H.; Chen Q.; Chan M. H.-Y.; Ng M.; Wang K.-N.; Liu W.; Tian Z.; Diao J.; Mao Z.-W.; Yam V. W.-W. Multiple-Color Platinum Complex with Super-Large Stokes Shift for Super-Resolution Imaging of Autolysosome Escape. Angew. Chem., Int. Ed. 2020, 59 (43), 19229–19236..

    Not in our library10.1002/anie.202007878

  135. 135.

    Hao L.; Li Z.-W.; Zhang D.-Y.; He L.; Liu W.; Yang J.; Tan C.-P.; Ji L.-N.; Mao Z.-W. Monitoring mitochondrial viscosity with anticancer phosphorescent Ir(iii) complexes via two-photon lifetime imaging. Chem. Sci. 2019, 10 (5), 1285–1293..

    Not in our library10.1039/c8sc04242j

  136. 136.

    Jing Y.; Cao Q.; Hao L.; Yang G.-G.; Hu W.-L.; Ji L.-N.; Mao Z.-W. A self-assessed photosensitizer: inducing and dual-modal phosphorescence imaging of mitochondria oxidative stress. Chem. Commun. 2018, 54 (3), 271–274..

    Not in our library10.1039/c7cc07797a

  137. 137.

    Li Y.; Tan C.-P.; Zhang W.; He L.; Ji L.-N.; Mao Z.-W. Phosphorescent iridium(III)-bis-N-heterocyclic carbene complexes as mitochondria-targeted theranostic and photodynamic anticancer agents. Biomaterials 2015, 39, 95–104..

    Not in our library10.1016/j.biomaterials.2014.10.070

  138. 138.

    Zhang Z.; Pan W.; Xie Y.; Liu K.; Gao M.; Wang Y. Photoactivatable tandem fluorescence imaging of organelles and their interplay monitoring. Mater. Chem. Front. 2022, 6 (24), 3662–3668..

    Not in our library10.1039/d2qm00907b

  139. 139.

    Wang W.-X. Bioimaging of metals in environmental toxicological studies: Linking localization and functionality. Critical Reviews in Environmental Science and Technology 2022, 52 (19), 3384–3414..

    Not in our library10.1080/10643389.2021.1934368

  140. 140.

    Yuan L.; Wang W.-X. Bioimaging revealed contrasting organelle-specific transport of copper and zinc and implication for toxicity. Environ. Pollut. 2022, 299, 118891.

    Not in our library10.1016/j.envpol.2022.118891

  141. 141.

    Malecka K. A.; Ho W. C.; Marmorstein R. Crystal structure of a p53 core tetramer bound to DNA. Oncogene 2009, 28 (3), 325–333..

    Not in our library10.1038/onc.2008.400

  142. 142.

    Madabhushi R.; Pan L.; Tsai L.-H. DNA Damage and Its Links to Neurodegeneration. Neuron 2014, 83 (2), 266–282..

    Not in our library10.1016/j.neuron.2014.06.034

  143. 143.
  144. 144.

    Tian R.; Wang Z.; Liu J.; Jiang Q.; Ding B. Nucleic acid-based aggregates and their biomedical applications. Aggregate 2021, 2 (1), 133–144..

    Not in our library10.1002/agt2.16

  145. 145.

    Schrempf A.; Slyskova J.; Loizou J. I. Targeting the DNA Repair Enzyme Polymerase θ in Cancer Therapy. Trends in Cancer 2021, 7 (2), 98–111..

    Not in our library10.1016/j.trecan.2020.09.007

  146. 146.

    Liu L.-Y.; Ma T.-Z.; Zeng Y.-L.; Liu W.; Mao Z.-W. Structural Basis of Pyridostatin and Its Derivatives Specifically Binding to G-Quadruplexes. J. Am. Chem. Soc. 2022, 144 (26), 11878–11887..

    Not in our library10.1021/jacs.2c04775

  147. 147.

    Pjura P. E.; Grzeskowiak K.; Dickerson R. E. Binding of Hoechst 33258 to the minor groove of B-DNA. J. Mol. Biol. 1987, 197 (2), 257–271..

    Not in our library10.1016/0022-2836(87)90123-9

  148. 148.

    Samanta A.; Paul B. K.; Guchhait N. Photophysics of DNA staining dye Propidium Iodide encapsulated in bio-mimetic micelle and genomic fish sperm DNA. Journal of Photochemistry and Photobiology B: Biology 2012, 109, 58–67..

    Not in our library10.1016/j.jphotobiol.2012.02.001

  149. 149.

    Wahl P.; Paoletti J.; Le Pecq J. B. Decay of Fluorescence Emission Anisotropy of the Ethidium Bromide-DNA Complex Evidence for an Internal Motion in DNA. Proc. Natl. Acad. Sci. U.S.A. 1970, 65 (2), 417–421..

    Not in our library10.1073/pnas.65.2.417

  150. 150.

    Kapuscinski J. DAPI: a DNA-Specific Fluorescent Probe. Biotech Histochem 1995, 70 (5), 220–233..

    Not in our library10.3109/10520299509108199

  151. 151.

    Liang J.; Tang B. Z.; Liu B. Specific light-up bioprobes based on AIEgen conjugates. Chem. Soc. Rev. 2015, 44 (10), 2798–2811..

    Not in our library10.1039/c4cs00444b

  152. 152.

    Gu B.; Wu W.; Xu G.; Feng G.; Yin F.; Chong P. H. J.; Qu J.; Yong K.-T.; Liu B. Precise Two-Photon Photodynamic Therapy using an Efficient Photosensitizer with Aggregation-Induced Emission Characteristics. Adv. Mater. 2017, 29 (28), 1701076.

    Not in our library10.1002/adma.201701076

  153. 153.

    Li Y.; Zhao Z.; Zhang J.; Kwok R. T. K.; Xie S.; Tang R.; Jia Y.; Yang J.; Wang L.; Lam J. W. Y.; Zheng W.; Jiang X.; Tang B. Z. A Bifunctional Aggregation-Induced Emission Luminogen for Monitoring and Killing of Multidrug-Resistant Bacteria. Adv. Funct. Mater. 2018, 28 (42), 1804632.

    Not in our library10.1002/adfm.201804632

  154. 154.

    Min X.; Zhuang Y.; Zhang Z.; Jia Y.; Hakeem A.; Zheng F.; Cheng Y.; Tang B. Z.; Lou X.; Xia F. Lab in a Tube: Sensitive Detection of MicroRNAs in Urine Samples from Bladder Cancer Patients Using a Single-Label DNA Probe with AIEgens. ACS Appl. Mater. Interfaces 2015, 7 (30), 16813–16818..

    Not in our library10.1021/acsami.5b04821

  155. 155.

    He Z.; Gao Y.; Zhang H.; Wang X.; Meng F.; Luo L.; Tang B. Z. Platinum-AIEgen coordination complex for imaging-guided annihilation of cisplatin-resistant cancer cells. Chem. Commun. 2020, 56 (56), 7785–7788..

    Not in our library10.1039/d0cc00821d

  156. 156.

    Li S.; Langenegger S. M.; Häner R. Control of aggregation-induced emission by DNA hybridization. Chem. Commun. 2013, 49 (52), 5835–5837..

    Not in our library10.1039/c3cc42706d

  157. 157.

    Wang Z.; Gu Y.; Liu J.; Cheng X.; Sun J. Z.; Qin A.; Tang B. Z. A novel pyridinium modified tetraphenylethene: AIE-activity, mechanochromism, DNA detection and mitochondrial imaging. J. Mater. Chem. B 2018, 6 (8), 1279–1285..

    Not in our library10.1039/c7tb03012f

  158. 158.

    Wang K.-N.; Liu L.-Y.; Mao D.; Hou M.-X.; Tan C.-P.; Mao Z.-W.; Liu B. A Nuclear-Targeted AIE Photosensitizer for Enzyme Inhibition and Photosensitization in Cancer Cell Ablation. Angew. Chem., Int. Ed. 2022, 61 (15), e202114600.

    Not in our library10.1002/anie.202114600

  159. 159.

    Xu X.; Yan S.; Zhou Y.; Huang R.; Chen Y.; Wang J.; Weng X.; Zhou X. A novel aggregation-induced emission fluorescent probe for nucleic acid detection and its applications in cell imaging. Bioorg. Med. Chem. Lett. 2014, 24 (7), 1654–1656..

    Not in our library10.1016/j.bmcl.2014.02.071

  160. 160.

    Gao Y.; Wang X.; He X.; He Z.; Yang X.; Tian S.; Meng F.; Ding D.; Luo L.; Tang B. Z. A Dual-Functional Photosensitizer for Ultraefficient Photodynamic Therapy and Synchronous Anticancer Efficacy Monitoring. Adv. Funct. Mater. 2019, 29 (32), 1902673.

    Not in our library10.1002/adfm.201902673

  161. 161.

    Gao Y.; Zhang H.; He Z.; Fang F.; Wang C.; Zeng K.; Gao S.; Meng F.; Luo L.; Tang B. Z. Multicationic AIEgens for unimolecular photodynamic theranostics and two-photon fluorescence bioimaging. Mater. Chem. Front. 2020, 4 (6), 1623–1633..

    Not in our library10.1039/d0qm00119h

  162. 162.

    Wang W.-J.; Mu X.; Tan C.-P.; Wang Y.-J.; Zhang Y.; Li G.; Mao Z.-W. Induction and Monitoring of DNA Phase Separation in Living Cells by a Light-Switching Ruthenium Complex. J. Am. Chem. Soc. 2021, 143 (30), 11370–11381..

    Not in our library10.1021/jacs.1c01424

  163. 163.

    Di Antonio M.; Ponjavic A.; Radzevičius A.; Ranasinghe R. T.; Catalano M.; Zhang X.; Shen J.; Needham L.-M.; Lee S. F.; Klenerman D.; Balasubramanian S. Single-molecule visualization of DNA G-quadruplex formation in live cells. Nat. Chem. 2020, 12 (9), 832–837..

    Not in our library10.1038/s41557-020-0506-4

  164. 164.

    Hansel-Hertsch R.; Simeone A.; Shea A.; Hui W. W. I.; Zyner K. G.; Marsico G.; Rueda O. M.; Bruna A.; Martin A.; Zhang X.; Adhikari S.; Tannahill D.; Caldas C.; Balasubramanian S. Landscape of G-quadruplex DNA structural regions in breast cancer. Nat. Genet. 2020, 52 (9), 878–883..

    Not in our library10.1038/s41588-020-0672-8

  165. 165.

    Liu W.; Zhong Y.-F.; Liu L.-Y.; Shen C.-T.; Zeng W.; Wang F.; Yang D.; Mao Z.-W. Solution structures of multiple G-quadruplex complexes induced by a platinum(II)-based tripod reveal dynamic binding. Nat. Commun. 2018, 9 (1), 3496.

    Not in our library10.1038/s41467-018-05810-4

  166. 166.

    Zhong Y.-F.; Zhang H.; Liu W.-T.; Zheng X.-H.; Zhou Y.-W.; Cao Q.; Shen Y.; Zhao Y.; Qin P. Z.; Ji L.-N.; Mao Z.-W. A Platinum(II)-based Photosensitive Tripod as an Effective Photodynamic Anticancer Agent through DNA Damage. Chem. Eur. J. 2017, 23 (65), 16442–16446..

    Not in our library10.1002/chem.201703598

  167. 167.

    Komiyama M.; Ye S.; Liang; Yamamoto Y.; Tomita T.; Zhou J.-M.; Aburatani H. PNA for One-Base Differentiating Protection of DNA from Nuclease and Its Use for SNPs Detection. J. Am. Chem. Soc. 2003, 125 (13), 3758–3762..

    Not in our library10.1021/ja0295220

  168. 168.

    Marth G.; Yeh R.; Minton M.; Donaldson R.; Li Q.; Duan S.; Davenport R.; Miller R. D.; Kwok P.-Y. Single-nucleotide polymorphisms in the public domain: how useful are they?. Nat. Genet. 2001, 27 (4), 371–372..

    Not in our library10.1038/86864

  169. 169.

    Syvänen A.-C. Accessing genetic variation: genotyping single nucleotide polymorphisms. Nat. Rev. Genet. 2001, 2 (12), 930–942..

    Not in our library10.1038/35103535

  170. 170.

    Gao Y.; He Z.; He X.; Zhang H.; Weng J.; Yang X.; Meng F.; Luo L.; Tang B. Z. Dual-Color Emissive AIEgen for Specific and Label-Free Double-Stranded DNA Recognition and Single-Nucleotide Polymorphisms Detection. J. Am. Chem. Soc. 2019, 141 (51), 20097–20106..

    Not in our library10.1021/jacs.9b09239

  171. 171.

    Hu R.; Zhou T.; Li B.; Kwok R. T. K.; Shen J.; Qin A.; Tang B. Z. Selective viable cell discrimination by a conjugated polymer featuring aggregation-induced emission characteristic. Biomaterials 2020, 230, 119658.

    Not in our library10.1016/j.biomaterials.2019.119658

  172. 172.

    Zheng Z.; Zhou T.; Hu R.; Huang M.; Ao X.; Chu J.; Jiang T.; Qin A.; Zhang Z. A specific aggregation-induced emission-conjugated polymer enables visual monitoring of osteogenic differentiation. Bioactive Materials 2020, 5 (4), 1018–1025..

    Not in our library10.1016/j.bioactmat.2020.06.020

  173. 173.

    Hu R.; Chen X.; Zhou T.; Si H.; He B.; Kwok R. T. K.; Qin A.; Tang B. Z. Lab-in-cell based on spontaneous amino-yne click polymerization. Science China Chemistry 2019, 62 (9), 1198–1203..

    Not in our library10.1007/s11426-019-9517-9

  174. 174.

    Shi J.; Kantoff P. W.; Wooster R.; Farokhzad O. C. Cancer nanomedicine: progress, challenges and opportunities. Nat. Rev. Cancer 2017, 17 (1), 20–37..

    Not in our library10.1038/nrc.2016.108

  175. 175.

    Wang Y.; Liu L.; Xue X.; Liang X. Nanoparticle-based drug delivery systems: What can they really do in vivo? [version 1; peer review: 3 approved]. F1000Research 2017, 6, 681.

    Not in our library10.12688/f1000research.9690.1

  176. 176.

    Wang Y.-F.; Zhou Y.; Sun J.; Wang X.; Jia Y.; Ge K.; Yan Y.; Dawson K. A.; Guo S.; Zhang J.; Liang X.-J. The Yin and Yang of the protein corona on the delivery journey of nanoparticles. Nano Res. 2023, 16 (1), 715–734..

    Not in our library10.1007/s12274-022-4849-6

  177. 177.

    Rennick J. J.; Johnston A. P. R.; Parton R. G. Key principles and methods for studying the endocytosis of biological and nanoparticle therapeutics. Nat. Nanotechnol. 2021, 16 (3), 266–276..

    Not in our library10.1038/s41565-021-00858-8

  178. 178.

    Dawson K. A.; Yan Y. Current understanding of biological identity at the nanoscale and future prospects. Nat. Nanotechnol. 2021, 16 (3), 229–242..

    Not in our library10.1038/s41565-021-00860-0

  179. 179.

    Zhang C.; Jin S.; Li S.; Xue X.; Liu J.; Huang Y.; Jiang Y.; Chen W.-Q.; Zou G.; Liang X.-J. Imaging Intracellular Anticancer Drug Delivery by Self-Assembly Micelles with Aggregation-Induced Emission (AIE Micelles). ACS Appl. Mater. Interfaces 2014, 6 (7), 5212–5220..

    Not in our library10.1021/am5005267

  180. 180.

    Wang Y.-F.; Zhang C.; Yang K.; Wang Y.; Shan S.; Yan Y.; Dawson K. A.; Wang C.; Liang X.-J. Transportation of AIE-visualized nanoliposomes is dominated by the protein corona. National Sci. Rev. 2021, 8 (6), nwab068.

    Not in our library10.1093/nsr/nwab068

  181. 181.

    Zhang C.; Jin S.; Yang K.; Xue X.; Li Z.; Jiang Y.; Chen W.-Q.; Dai L.; Zou G.; Liang X.-J. Cell Membrane Tracker Based on Restriction of Intramolecular Rotation. ACS Appl. Mater. Interfaces 2014, 6 (12), 8971–8975..

    Not in our library10.1021/am5025897

  182. 182.

    Zhang C.; Zhang T.; Jin S.; Xue X.; Yang X.; Gong N.; Zhang J.; Wang P. C.; Tian J.-H.; Xing J.; Liang X.-J. Virus-Inspired Self-Assembled Nanofibers with Aggregation-Induced Emission for Highly Efficient and Visible Gene Delivery. ACS Appl. Mater. Interfaces 2017, 9 (5), 4425–4432..

    Not in our library10.1021/acsami.6b11536

  183. 183.

    Zhang T.; Guo W.; Zhang C.; Yu J.; Xu J.; Li S.; Tian J.-H.; Wang P. C.; Xing J.-F.; Liang X.-J. Transferrin-Dressed Virus-like Ternary Nanoparticles with Aggregation-Induced Emission for Targeted Delivery and Rapid Cytosolic Release of siRNA. ACS Appl. Mater. Interfaces 2017, 9 (19), 16006–16014..

    Not in our library10.1021/acsami.7b03402

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    Qiao Q.; Liu W.; Chi W.; Chen J.; Zhou W.; Xu N.; Li J.; Fang X.; Tao Y.; Zhang Y.; Chen Y.; Miao L.; Liu X.; Xu Z. Modulation of dynamic aggregation in fluorogenic SNAP-tag probes for long-term super-resolution imaging. Aggregate 2023, 4 (2), e258.

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  185. 185.

    Xue X.; Zhao Y.; Dai L.; Zhang X.; Hao X.; Zhang C.; Huo S.; Liu J.; Liu C.; Kumar A.; Chen W.-Q.; Zou G.; Liang X.-J. Spatiotemporal Drug Release Visualized through a Drug Delivery System with Tunable Aggregation-Induced Emission. Adv. Mater. 2014, 26 (5), 712–717..

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  186. 186.

    Xue X.; Jin S.; Zhang C.; Yang K.; Huo S.; Chen F.; Zou G.; Liang X.-J. Probe-Inspired Nano-Prodrug with Dual-Color Fluorogenic Property Reveals Spatiotemporal Drug Release in Living Cells. ACS Nano 2015, 9 (3), 2729–2739..

    Not in our library10.1021/nn5065452

  187. 187.

    Morales M.; Aflalo C.; Bernard O. Microalgal lipids: A review of lipids potential and quantification for 95 phytoplankton species. Biomass and Bioenergy 2021, 150, 106108.

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    Reza A. H. M. M.; Zhou Y.; Qin J.; Tang Y. Chapter Five - Aggregation-induced emission luminogens for lipid droplet imaging. In Progress in Molecular Biology and Translational Science; Bhosale R. S., Singh V., Eds.; Academic Press: 2021; Vol. 184, pp 101–144.

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  189. 189.

    Liu H.; Yan N.; Wong T. Y.; Lam H.; Lam J. W. Y.; Kwok R. T. K.; Sun J.; Tang B. Z. Fluorescent Imaging and Sorting of High-Lipid-Content Strains of Green Algae by Using an Aggregation-Induced Emission Luminogen. ACS Nano 2022, 16 (9), 14973–14981..

    Not in our library10.1021/acsnano.2c05976

  190. 190.

    Reza A. H. M. M.; Zhou Y.; Tavakoli J.; Tang Y.; Qin J. Understanding the lipid production mechanism in Euglena gracilis with a fast-response AIEgen bioprobe, DPAS. Mater. Chem. Front. 2021, 5 (1), 268–283..

    Not in our library10.1039/d0qm00621a

  191. 191.

    Reza A. M.; Rakhi S. F.; Zhu X.; Tang Y.; Qin J. Visualising the Emerging Platform of Using Microalgae as a Sustainable Bio-Factory for Healthy Lipid Production through Biocompatible AIE Probes. Biosensors 2022, 12 (4), 208.

    Not in our library10.3390/bios12040208

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    Biradar M. R.; Bhosale R. S.; Bhosale S. V. Chapter One - Aggregation induced emission materials for tissue imaging. In Progress in Molecular Biology and Translational Science; Bhosale R. S., Singh V., Eds.; Academic Press: 2021; Vol. 185, pp 1–18.

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  193. 193.

    Wu M.-Y.; Wong A. Y. H.; Leung J.-K.; Kam C.; Wu K. L.-K.; Chan Y.-S.; Liu K.; Ip N. Y.; Chen S. A near-infrared AIE fluorescent probe for myelin imaging: From sciatic nerve to the optically cleared brain tissue in 3D. Proc. Natl. Acad. Sci. U.S.A. 2021, 118 (45), e2106143118.

    Not in our library10.1073/pnas.2106143118

  194. 194.

    Li H.; Li Y.; Yao Q.; Fan J.; Sun W.; Long S.; Shao K.; Du J.; Wang J.; Peng X. In situ imaging of aminopeptidase N activity in hepatocellular carcinoma: a migration model for tumour using an activatable two-photon NIR fluorescent probe. Chem. Sci. 2019, 10 (6), 1619–1625..

    Not in our library10.1039/c8sc04685a

  195. 195.

    Qi J.; Sun C.; Li D.; Zhang H.; Yu W.; Zebibula A.; Lam J. W. Y.; Xi W.; Zhu L.; Cai F.; Wei P.; Zhu C.; Kwok R. T. K.; Streich L. L.; Prevedel R.; Qian J.; Tang B. Z. Aggregation-Induced Emission Luminogen with Near-Infrared-II Excitation and Near-Infrared-I Emission for Ultradeep Intravital Two-Photon Microscopy. ACS Nano 2018, 12 (8), 7936–7945..

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  196. 196.

    Kim S.; Pudavar H. E.; Bonoiu A.; Prasad P. N. Aggregation-Enhanced Fluorescence in Organically Modified Silica Nanoparticles: A Novel Approach toward High-Signal-Output Nanoprobes for Two-Photon Fluorescence Bioimaging. Adv. Mater. 2007, 19 (22), 3791–3795..

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  197. 197.
  198. 198.

    Qin W.; Zhang P.; Li H.; Lam J. W. Y.; Cai Y.; Kwok R. T. K.; Qian J.; Zheng W.; Tang B. Z. Ultrabright red AIEgens for two-photon vascular imaging with high resolution and deep penetration. Chem. Sci. 2018, 9 (10), 2705–2710..

    Not in our library10.1039/c7sc04820c

  199. 199.

    Chen J.; Huang Q.; Wang Q.; Ding Y.; Lu S.; Wang L.-H.; Li S.; Wang R. Supramolecular Luminol-AIEgen Nanoparticles for Deep-Tissue-Inflammation Imaging. ACS Appl. Nano Mater. 2022, 5 (5), 5993–6000..

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  200. 200.

    Li Y.; Tang R.; Liu X.; Gong J.; Zhao Z.; Sheng Z.; Zhang J.; Li X.; Niu G.; Kwok R. T. K.; Zheng W.; Jiang X.; Tang B. Z. Bright Aggregation-Induced Emission Nanoparticles for Two-Photon Imaging and Localized Compound Therapy of Cancers. ACS Nano 2020, 14 (12), 16840–16853..

    Not in our library10.1021/acsnano.0c05610

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    Niu G.; Zhang R.; Kwong J. P. C.; Lam J. W. Y.; Chen C.; Wang J.; Chen Y.; Feng X.; Kwok R. T. K.; Sung H. H. Y.; Williams I. D.; Elsegood M. R. J.; Qu J.; Ma C.; Wong K. S.; Yu X.; Tang B. Z. Specific Two-Photon Imaging of Live Cellular and Deep-Tissue Lipid Droplets by Lipophilic AIEgens at Ultralow Concentration. Chem. Mater. 2018, 30 (14), 4778–4787..

    Not in our library10.1021/acs.chemmater.8b01943

  202. 202.

    Yan C.; Dai J.; Yao Y.; Fu W.; Tian H.; Zhu W.-H.; Guo Z. Preparation of near-infrared AIEgen-active fluorescent probes for mapping amyloid-β plaques in brain tissues and living mice. Nat. Protocols 2023, 18 (4), 1316–1336..

    Not in our library10.1038/s41596-022-00789-1

  203. 203.

    Duo Y.; Luo G.; Zhang W.; Wang R.; Xiao G. G.; Li Z.; Li X.; Chen M.; Yoon J.; Tang B. Z. Noncancerous disease-targeting AIEgens. Chem. Soc. Rev. 2023, 52 (3), 1024–1067..

    Not in our library10.1039/d2cs00610c

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    Niu G.; Zheng X.; Zhao Z.; Zhang H.; Wang J.; He X.; Chen Y.; Shi X.; Ma C.; Kwok R. T. K.; Lam J. W. Y.; Sung H. H. Y.; Williams I. D.; Wong K. S.; Wang P.; Tang B. Z. Functionalized Acrylonitriles with Aggregation-Induced Emission: Structure Tuning by Simple Reaction-Condition Variation, Efficient Red Emission, and Two-Photon Bioimaging. J. Am. Chem. Soc. 2019, 141 (38), 15111–15120..

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  205. 205.

    Li X.; Zha M.; Li Y.; Ni J.-S.; Min T.; Kang T.; Yang G.; Tang H.; Li K.; Jiang X. Sub-10 nm Aggregation-Induced Emission Quantum Dots Assembled by Microfluidics for Enhanced Tumor Targeting and Reduced Retention in the Liver. Angew. Chem., Int. Ed. 2020, 59 (49), 21899–21903..

    Not in our library10.1002/anie.202008564

  206. 206.

    Sun J.; Zhang L.; Wang J.; Feng Q.; Liu D.; Yin Q.; Xu D.; Wei Y.; Ding B.; Shi X.; Jiang X. Tunable Rigidity of (Polymeric Core)-(Lipid Shell) Nanoparticles for Regulated Cellular Uptake. Adv. Mater. 2015, 27 (8), 1402–1407..

    Not in our library10.1002/adma.201404788

  207. 207.

    Balachandran Y. L.; Li X.; Jiang X. Integrated Microfluidic Synthesis of Aptamer Functionalized Biozeolitic Imidazolate Framework (BioZIF-8) Targeting Lymph Node and Tumor. Nano Lett. 2021, 21 (3), 1335–1344..

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  208. 208.

    Wang L. V.; Hu S. Photoacoustic Tomography: In Vivo Imaging from Organelles to Organs. Science 2012, 335 (6075), 1458–1462..

    Not in our library10.1126/science.1216210

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    Liu Z.; Zhu Y.; Zhang L.; Jiang W.; Liu Y.; Tang Q.; Cai X.; Li J.; Wang L.; Tao C.; Yin X.; Li X.; Hou S.; Jiang D.; Liu K.; Zhou X.; Zhang H.; Liu M.; Fan C.; Tian Y. Structural and functional imaging of brains. Science China Chemistry 2023, 66 (2), 324–366..

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  210. 210.

    Helmchen F.; Denk W. Deep tissue two-photon microscopy. Nat. Methods 2005, 2 (12), 932–940..

    Not in our library10.1038/nmeth818

  211. 211.

    Hong G.; Antaris A. L.; Dai H. Near-infrared fluorophores for biomedical imaging. Nat. Biomed. Eng. 2017, 1 (1), 0010.

    Not in our library10.1038/s41551-016-0010

  212. 212.

    Zipfel W. R.; Williams R. M.; Webb W. W. Nonlinear magic: multiphoton microscopy in the biosciences. Nat. Biotechnol. 2003, 21 (11), 1369–1377..

    Not in our library10.1038/nbt899

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    Ou C.; An L.; Zhao Z.; Gao F.; Zheng L.; Xu C.; Zhang K.; Shao J.; Xie L.; Dong X. Promoting near-infrared II fluorescence efficiency by blocking long-range energy migration. Aggregate 2022, 4 (3), e290.

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    Li C.; Chen G.; Zhang Y.; Wu F.; Wang Q. Advanced Fluorescence Imaging Technology in the Near-Infrared-II Window for Biomedical Applications. J. Am. Chem. Soc. 2020, 142 (35), 14789–14804..

    Not in our library10.1021/jacs.0c07022

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    Antaris A. L.; Chen H.; Cheng K.; Sun Y.; Hong G.; Qu C.; Diao S.; Deng Z.; Hu X.; Zhang B.; Zhang X.; Yaghi O. K.; Alamparambil Z. R.; Hong X.; Cheng Z.; Dai H. A small-molecule dye for NIR-II imaging. Nat. Mater. 2016, 15 (2), 235–242..

    Not in our library10.1038/nmat4476

  217. 217.

    Huang J.; Pu K. Activatable Molecular Probes for Second Near-Infrared Fluorescence, Chemiluminescence, and Photoacoustic Imaging. Angew. Chem., Int. Ed. 2020, 59 (29), 11717–11731..

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  218. 218.

    Fan Y.; Wang P.; Lu Y.; Wang R.; Zhou L.; Zheng X.; Li X.; Piper J. A.; Zhang F. Lifetime-engineered NIR-II nanoparticles unlock multiplexed in vivo imaging. Nat. Nanotechnol. 2018, 13 (10), 941–946..

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  219. 219.

    Cheng D.; Peng J.; Lv Y.; Su D.; Liu D.; Chen M.; Yuan L.; Zhang X. De Novo Design of Chemical Stability Near-Infrared Molecular Probes for High-Fidelity Hepatotoxicity Evaluation In Vivo. J. Am. Chem. Soc. 2019, 141 (15), 6352–6361..

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  220. 220.

    Tapia Hernandez R.; Lee M. C.; Yadav A. K.; Chan J. Repurposing Cyanine Photoinstability To Develop Near-Infrared Light-Activatable Nanogels for In Vivo Cargo Delivery. J. Am. Chem. Soc. 2022, 144 (39), 18101–18108..

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    Han T.; Wang Y.; Ma S.; Li M.; Zhu N.; Tao S.; Xu J.; Sun B.; Jia Y.; Zhang Y.; Zhu S.; Yang B. Near-Infrared Carbonized Polymer Dots for NIR-II Bioimaging. Adv. Sci. 2022, 9 (30), 2203474.

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    Tao W.; Farokhzad O. C. Theranostic Nanomedicine in the NIR-II Window: Classification, Fabrication, and Biomedical Applications. Chem. Rev. 2022, 122 (6), 5405–5407..

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  224. 224.

    Guo Z.; Park S.; Yoon J.; Shin I. Recent progress in the development of near-infrared fluorescent probes for bioimaging applications. Chem. Soc. Rev. 2014, 43 (1), 16–29..

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    Qi J.; Sun C.; Zebibula A.; Zhang H.; Kwok R. T. K.; Zhao X.; Xi W.; Lam J. W. Y.; Qian J.; Tang B. Z. Real-Time and High-Resolution Bioimaging with Bright Aggregation-Induced Emission Dots in Short-Wave Infrared Region. Adv. Mater. 2018, 30 (12), 1706856.

    Not in our library10.1002/adma.201706856

  226. 226.

    Liu J.; Chen C.; Ji S.; Liu Q.; Ding D.; Zhao D.; Liu B. Long wavelength excitable near-infrared fluorescent nanoparticles with aggregation-induced emission characteristics for image-guided tumor resection. Chem. Sci. 2017, 8 (4), 2782–2789..

    Not in our library10.1039/c6sc04384d

  227. 227.

    Wang X.; Morales A. R.; Urakami T.; Zhang L.; Bondar M. V.; Komatsu M.; Belfield K. D. Folate Receptor-Targeted Aggregation-Enhanced Near-IR Emitting Silica Nanoprobe for One-Photon in Vivo and Two-Photon ex Vivo Fluorescence Bioimaging. Bioconjugate Chem. 2011, 22 (7), 1438–1450..

    Not in our library10.1021/bc2002506

  228. 228.

    Liu L.; Wang J.; Wang X.; Wang H.; Li M.; Wu T.; Gao G.; Zheng X.; Liu G.; Fan L.; Shen W.; Ru G.; Zhao Z.; Tang B. Z. High-Resolution Imaging of Latent Fingerprints through Near-Infrared Organoboron AIEgens†. Chin. J. Chem. 2023, 41 (12), 1465–1470..

    Not in our library10.1002/cjoc.202200677

  229. 229.

    Shao A.; Xie Y.; Zhu S.; Guo Z.; Zhu S.; Guo J.; Shi P.; James T. D.; Tian H.; Zhu W.-H. Far-Red and Near-IR AIE-Active Fluorescent Organic Nanoprobes with Enhanced Tumor-Targeting Efficacy: Shape-Specific Effects. Angew. Chem., Int. Ed. 2015, 54 (25), 7275–7280..

    Not in our library10.1002/anie.201501478

  230. 230.

    Wang M.; Xu Y.; Liu Y.; Gu K.; Tan J.; Shi P.; Yang D.; Guo Z.; Zhu W.; Guo X.; Cohen Stuart M. A. Morphology Tuning of Aggregation-Induced Emission Probes by Flash Nanoprecipitation: Shape and Size Effects on in Vivo Imaging. ACS Appl. Mater. Interfaces 2018, 10 (30), 25186–25193..

    Not in our library10.1021/acsami.8b08159

  231. 231.

    Zhang J.; Wang Q.; Liu J.; Guo Z.; Yang J.; Li Q.; Zhang S.; Yan C.; Zhu W.-H. Saponin-Based Near-Infrared Nanoparticles with Aggregation-Induced Emission Behavior: Enhancing Cell Compatibility and Permeability. ACS Appl. Bio Mater. 2019, 2 (2), 943–951..

    Not in our library10.1021/acsabm.8b00812

  232. 232.

    Wang M.; Yang N.; Guo Z.; Gu K.; Shao A.; Zhu W.; Xu Y.; Wang J.; Prud’homme R. K.; Guo X. Facile Preparation of AIE-Active Fluorescent Nanoparticles through Flash Nanoprecipitation. Ind. Eng. Chem. Res. 2015, 54 (17), 4683–4688..

    Not in our library10.1021/acs.iecr.5b00501

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    Yang Q.; Ma Z.; Wang H.; Zhou B.; Zhu S.; Zhong Y.; Wang J.; Wan H.; Antaris A.; Ma R.; Zhang X.; Yang J.; Zhang X.; Sun H.; Liu W.; Liang Y.; Dai H. Rational Design of Molecular Fluorophores for Biological Imaging in the NIR-II Window. Adv. Mater. 2017, 29 (12), 1605497.

    Not in our library10.1002/adma.201605497

  234. 234.

    Yang Q.; Hu Z.; Zhu S.; Ma R.; Ma H.; Ma Z.; Wan H.; Zhu T.; Jiang Z.; Liu W.; Jiao L.; Sun H.; Liang Y.; Dai H. Donor Engineering for NIR-II Molecular Fluorophores with Enhanced Fluorescent Performance. J. Am. Chem. Soc. 2018, 140 (5), 1715–1724..

    Not in our library10.1021/jacs.7b10334

  235. 235.

    Ma H.; Liu C.; Hu Z.; Yu P.; Zhu X.; Ma R.; Sun Z.; Zhang C.-H.; Sun H.; Zhu S.; Liang Y. Propylenedioxy Thiophene Donor to Achieve NIR-II Molecular Fluorophores with Enhanced Brightness. Chem. Mater. 2020, 32 (5), 2061–2069..

    Not in our library10.1021/acs.chemmater.9b05159

  236. 236.

    Wan H.; Ma H.; Zhu S.; Wang F.; Tian Y.; Ma R.; Yang Q.; Hu Z.; Zhu T.; Wang W.; Ma Z.; Zhang M.; Zhong Y.; Sun H.; Liang Y.; Dai H. Developing a Bright NIR-II Fluorophore with Fast Renal Excretion and Its Application in Molecular Imaging of Immune Checkpoint PD-L1. Adv. Funct. Mater. 2018, 28 (50), 1804956.

    Not in our library10.1002/adfm.201804956

  237. 237.
  238. 238.

    Li Y.; Fan X.; Li Y.; Liu S.; Chuah C.; Tang Y.; Kwok R. T. K.; Lam J. W. Y.; Lu X.; Qian J.; Tang B. Z. Molecular Crystal Engineering of Organic Chromophores for NIR-II Fluorescence Quantification of Cerebrovascular Function. ACS Nano 2022, 16 (2), 3323–3331..

    Not in our library10.1021/acsnano.1c11424

  239. 239.

    Alifu N.; Zebibula A.; Qi J.; Zhang H.; Sun C.; Yu X.; Xue D.; Lam J. W. Y.; Li G.; Qian J.; Tang B. Z. Single-Molecular Near-Infrared-II Theranostic Systems: Ultrastable Aggregation-Induced Emission Nanoparticles for Long-Term Tracing and Efficient Photothermal Therapy. ACS Nano 2018, 12 (11), 11282–11293..

    Not in our library10.1021/acsnano.8b05937

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    Liu S.; Chen R.; Zhang J.; Li Y.; He M.; Fan X.; Zhang H.; Lu X.; Kwok R. T. K.; Lin H.; Lam J. W. Y.; Qian J.; Tang B. Z. Incorporation of Planar Blocks into Twisted Skeletons: Boosting Brightness of Fluorophores for Bioimaging beyond 1500 Nanometer. ACS Nano 2020, 14 (10), 14228–14239..

    Not in our library10.1021/acsnano.0c07527

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    Welsher K.; Liu Z.; Sherlock S. P.; Robinson J. T.; Chen Z.; Daranciang D.; Dai H. A route to brightly fluorescent carbon nanotubes for near-infrared imaging in mice. Nat. Nanotechnol. 2009, 4 (11), 773–780..

    Not in our library10.1038/nnano.2009.294

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    Zhang Y.; Hong G.; Zhang Y.; Chen G.; Li F.; Dai H.; Wang Q. Ag2S Quantum Dot: A Bright and Biocompatible Fluorescent Nanoprobe in the Second Near-Infrared Window. ACS Nano 2012, 6 (5), 3695–3702..

    Not in our library10.1021/nn301218z

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    Yu X.; Feng Z.; Cai Z.; Jiang M.; Xue D.; Zhu L.; Zhang Y.; Liu J.; Que B.; Yang W.; Xi W.; Zhang D.; Qian J.; Li G. Deciphering of cerebrovasculatures via ICG-assisted NIR-II fluorescence microscopy. J. Mater. Chem. B 2019, 7 (42), 6623–6629..

    Not in our library10.1039/c9tb01381d

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  246. 246.

    Qian J.; Feng Z.; Fan X.; Kuzmin A.; Gomes A. S. L.; Prasad P. N. High contrast 3-D optical bioimaging using molecular and nanoprobes optically responsive to IR light. Phys. Rep. 2022, 962, 1–107..

    Not in our library10.1016/j.physrep.2022.02.004

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    Liu Y.; Li Y.; Koo S.; Sun Y.; Liu Y.; Liu X.; Pan Y.; Zhang Z.; Du M.; Lu S.; Qiao X.; Gao J.; Wang X.; Deng Z.; Meng X.; Xiao Y.; Kim J. S.; Hong X. Versatile Types of Inorganic/Organic NIR-IIa/IIb Fluorophores: From Strategic Design toward Molecular Imaging and Theranostics. Chem. Rev. 2022, 122 (1), 209–268..

    Not in our library10.1021/acs.chemrev.1c00553

  248. 248.

    Chen M.; Feng Z.; Fan X.; Sun J.; Geng W.; Wu T.; Sheng J.; Qian J.; Xu Z. Long-term monitoring of intravital biological processes using fluorescent protein-assisted NIR-II imaging. Nat. Commun. 2022, 13 (1), 6643.

    Not in our library10.1038/s41467-022-34274-w

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    Wang J.; Liu Y.; Morsch M.; Lu Y.; Shangguan P.; Han L.; Wang Z.; Chen X.; Song C.; Liu S.; Shi B.; Tang B. Z. Brain-Targeted Aggregation-Induced-Emission Nanoparticles with Near-Infrared Imaging at 1550 nm Boosts Orthotopic Glioblastoma Theranostics. Adv. Mater. 2022, 34 (5), 2106082.

    Not in our library10.1002/adma.202106082

  250. 250.

    Lin J.; Zeng X.; Xiao Y.; Tang L.; Nong J.; Liu Y.; Zhou H.; Ding B.; Xu F.; Tong H.; Deng Z.; Hong X. Novel near-infrared II aggregation-induced emission dots for in vivo bioimaging. Chem. Sci. 2019, 10 (4), 1219–1226..

    Not in our library10.1039/c8sc04363a

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    Li Y.; Liu Y.; Li Q.; Zeng X.; Tian T.; Zhou W.; Cui Y.; Wang X.; Cheng X.; Ding Q.; Wang X.; Wu J.; Deng H.; Li Y.; Meng X.; Deng Z.; Hong X.; Xiao Y. Novel NIR-II organic fluorophores for bioimaging beyond 1550 nm. Chem. Sci. 2020, 11 (10), 2621–2626..

    Not in our library10.1039/c9sc06567a

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    Li Q.; Ding Q.; Li Y.; Zeng X.; Liu Y.; Lu S.; Zhou H.; Wang X.; Wu J.; Meng X.; Deng Z.; Xiao Y. Novel small-molecule fluorophores for in vivo NIR-IIa and NIR-IIb imaging. Chem. Commun. 2020, 56 (22), 3289–3292..

    Not in our library10.1039/c9cc09865h

  253. 253.

    Li Y.; Zhu H.; Wang X.; Cui Y.; Gu L.; Hou X.; Guan M.; Wu J.; Xiao Y.; Xiong X.; Meng X.; Hong X. Small-Molecule Fluorophores for Near-Infrared IIb Imaging and Image-Guided Therapy of Vascular Diseases. CCS Chemistry 2022, 4 (12), 3735–3750..

    Not in our library10.31635/ccschem.022.202101547

  254. 254.
  255. 255.

    Feng Z.; Bai S.; Qi J.; Sun C.; Zhang Y.; Yu X.; Ni H.; Wu D.; Fan X.; Xue D.; Liu S.; Chen M.; Gong J.; Wei P.; He M.; Lam J. W. Y.; Li X.; Tang B. Z.; Gao L.; Qian J. Biologically Excretable Aggregation-Induced Emission Dots for Visualizing Through the Marmosets Intravitally: Horizons in Future Clinical Nanomedicine. Adv. Mater. 2021, 33 (17), 2008123.

    Not in our library10.1002/adma.202008123

  256. 256.

    Sheng Z.; Li Y.; Hu D.; Min T.; Gao D.; Ni J.-S.; Zhang P.; Wang Y.; Liu X.; Li K.; Zheng H.; Tang B. Z. Centimeter-Deep NIR-II Fluorescence Imaging with Nontoxic AIE Probes in Nonhuman Primates. Research 2020, 2020, 4074593.

    Not in our library10.34133/2020/4074593

  257. 257.

    Zhang H.; Fu P.; Liu Y.; Zheng Z.; Zhu L.; Wang M.; Abdellah M.; He M.; Qian J.; Roe A. W.; Xi W. Large-depth three-photon fluorescence microscopy imaging of cortical microvasculature on nonhuman primates with bright AIE probe In vivo. Biomaterials 2022, 289, 121809.

    Not in our library10.1016/j.biomaterials.2022.121809

  258. 258.

    Meng J.; Zhou L.; Qian S.; Wang C.; Feng Z.; Jiang S.; Jiang R.; Ding Z.; Qian J.; Zhuo S.; Liu Z. Highly accurate, automated quantification of 2D/3D orientation for cerebrovasculature using window optimizing method. Journal of Biomedical Optics 2022, 27 (10), 105003.

    Not in our library10.1117/1.jbo.27.10.105003

  259. 259.

    Qian S.; Meng J.; Feng Z.; Zhou L.; Jiang S.; Wang Y.; Ye Z.; Zhuo S.; Chen J.; Li X.; Gao L.; Ding Z.; Qian J.; Liu Z. Mapping Organizational Changes of Fiber-Like Structures in Disease Progression by Multiparametric, Quantitative Imaging. Laser & Photonics Reviews 2022, 16 (6), 2100576.

    Not in our library10.1002/lpor.202100576

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    Meng J.; Feng Z.; Qian S.; Wang C.; Li X.; Gao L.; Ding Z.; Qian J.; Liu Z. Mapping physiological and pathological functions of cortical vasculature through aggregation-induced emission nanoprobes assisted quantitative, in vivo NIR-II imaging. Biomaterials Advances 2022, 136, 212760.

    Not in our library10.1016/j.bioadv.2022.212760

  261. 261.

    Xu S.; Chen R.; Zheng C.; Huang W. Excited State Modulation for Organic Afterglow: Materials and Applications. Adv. Mater. 2016, 28 (45), 9920–9940..

    Not in our library10.1002/adma.201602604

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    Miao Q.; Xie C.; Zhen X.; Lyu Y.; Duan H.; Liu X.; Jokerst J. V.; Pu K. Molecular afterglow imaging with bright, biodegradable polymer nanoparticles. Nat. Biotechnol. 2017, 35 (11), 1102–1110..

    Not in our library10.1038/nbt.3987

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    Liu Y.; Teng L.; Lyu Y.; Song G.; Zhang X.-B.; Tan W. Ratiometric afterglow luminescent nanoplatform enables reliable quantification and molecular imaging. Nat. Commun. 2022, 13 (1), 2216.

    Not in our library10.1038/s41467-022-29894-1

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    Fan Y.; Liu S.; Wu M.; Xiao L.; Fan Y.; Han M.; Chang K.; Zhang Y.; Zhen X.; Li Q.; Li Z. Mobile Phone Flashlight-Excited Red Afterglow Bioimaging. Adv. Mater. 2022, 34 (18), 2201280.

    Not in our library10.1002/adma.202201280

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    Xu C.; Huang J.; Jiang Y.; He S.; Zhang C.; Pu K. Nanoparticles with ultrasound-induced afterglow luminescence for tumour-specific theranostics. Nat. Biomed. Eng. 2023, 7 (3), 298–312..

    Not in our library10.1038/s41551-022-00978-z

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    Yang M.; Zeng Z.; Lam J. W. Y.; Fan J.; Pu K.; Tang B. Z. State-of-the-art self-luminescence: a win-win situation. Chem. Soc. Rev. 2022, 51 (21), 8815–8831..

    Not in our library10.1039/d2cs00228k

  267. 267.

    Yang M.; Huang J.; Fan J.; Du J.; Pu K.; Peng X. Chemiluminescence for bioimaging and therapeutics: recent advances and challenges. Chem. Soc. Rev. 2020, 49 (19), 6800–6815..

    Not in our library10.1039/d0cs00348d

  268. 268.

    Chen C.; Gao H.; Ou H.; Kwok R. T. K.; Tang Y.; Zheng D.; Ding D. Amplification of Activated Near-Infrared Afterglow Luminescence by Introducing Twisted Molecular Geometry for Understanding Neutrophil-Involved Diseases. J. Am. Chem. Soc. 2022, 144 (8), 3429–3441..

    Not in our library10.1021/jacs.1c11455

  269. 269.

    Heo J.; Murale D. P.; Yoon H. Y.; Arun V.; Choi S.; Kim E.; Lee J.-S.; Kim S. Recent trends in molecular aggregates: An exploration of biomedicine. Aggregate 2022, 3 (2), e159.

    Not in our library10.1002/agt2.159

  270. 270.

    Liu S.; Ou H.; Li Y.; Zhang H.; Liu J.; Lu X.; Kwok R. T. K.; Lam J. W. Y.; Ding D.; Tang B. Z. Planar and Twisted Molecular Structure Leads to the High Brightness of Semiconducting Polymer Nanoparticles for NIR-IIa Fluorescence Imaging. J. Am. Chem. Soc. 2020, 142 (35), 15146–15156..

    Not in our library10.1021/jacs.0c07193

  271. 271.

    Wu D.; Liu S.; Zhou J.; Chen R.; Wang Y.; Feng Z.; Lin H.; Qian J.; Tang B. Z.; Cai X. Organic Dots with Large π-Conjugated Planar for Cholangiography beyond 1500 nm in Rabbits: A Non-Radioactive Strategy. ACS Nano 2021, 15 (3), 5011–5022..

    Not in our library10.1021/acsnano.0c09981

  272. 272.

    Yu X.; Ying Y.; Feng Z.; Qi J.; Zheng J.; Zhang Y.; Liu J.; Qian J.; Tang B. Z.; Zhang D. Aggregation-induced emission dots assisted non-invasive fluorescence hysterography in near-infrared IIb window. Nano Today 2021, 39, 101235.

    Not in our library10.1016/j.nantod.2021.101235

  273. 273.

    Fan X.; Xia Q.; Liu S.; Zheng Z.; Zhang Y.; Wu T.; Li Y.; Tang G.; Tang B. Z.; Qian J.; Lin H. NIR-II and visible fluorescence hybrid imaging-guided surgery via aggregation-induced emission fluorophores cocktails. Materials Today Bio 2022, 16, 100399.

    Not in our library10.1016/j.mtbio.2022.100399

  274. 274.

    Fan X.; Xia Q.; Zhang Y.; Li Y.; Feng Z.; Zhou J.; Qi J.; Tang B. Z.; Qian J.; Lin H. Aggregation-Induced Emission (AIE) Nanoparticles-Assisted NIR-II Fluorescence Imaging-Guided Diagnosis and Surgery for Inflammatory Bowel Disease (IBD). Adv. Healthcare Mater. 2021, 10 (24), 2101043.

    Not in our library10.1002/adhm.202101043

  275. 275.

    Ni X.; Zhang X.; Duan X.; Zheng H. L.; Xue X. S.; Ding D. Near-Infrared Afterglow Luminescent Aggregation-Induced Emission Dots with Ultrahigh Tumor-to-Liver Signal Ratio for Promoted Image-Guided Cancer Surgery. Nano Lett. 2019, 19 (1), 318–330..

    Not in our library10.1021/acs.nanolett.8b03936

  276. 276.

    Casadevall A.; Pirofski L.-a. Microbiology: Ditch the term pathogen. Nature 2014, 516 (7530), 165–166..

    Not in our library10.1038/516165a

  277. 277.

    Chen H.; Li S.; Wu M.; Kenry; Huang Z.; Lee C.-S.; Liu B. Membrane-Anchoring Photosensitizer with Aggregation-Induced Emission Characteristics for Combating Multidrug-Resistant Bacteria. Angew. Chem., Int. Ed. 2020, 59 (2), 632–636..

    Not in our library10.1002/anie.201907343

  278. 278.

    Spatola Rossi C.; Coulon F.; Ma S.; Zhang Y. S.; Yang Z. Microfluidics for Rapid Detection of Live Pathogens. Adv. Funct. Mater. 2023, 33, 2212081.

    Not in our library10.1002/adfm.202212081

  279. 279.

    Li L.; Chen L.; Lu Y.; Li B.; Hu R.; Huang L.; Zhang T.; Wei X.; Yang Z.; Mao C. Aggregated carbon dots-loaded macrophages treat sepsis by eliminating multidrug-resistant bacteria and attenuating inflammation. Aggregate 2023, 4 (1), e200.

    Not in our library10.1002/agt2.200

  280. 280.

    Liu L.; Wang X.; Zhu S.; Yao C.; Ban D.; Liu R.; Li L.; Wang S. Controllable Targeted Accumulation of Fluorescent Conjugated Polymers on Bacteria Mediated by a Saccharide Bridge. Chem. Mater. 2020, 32 (1), 438–447..

    Not in our library10.1021/acs.chemmater.9b04034

  281. 281.

    Chen K.; He P.; Wang Z.; Tang B. Z. A Feasible Strategy of Fabricating Type I Photosensitizer for Photodynamic Therapy in Cancer Cells and Pathogens. ACS Nano 2021, 15 (4), 7735–7743..

    Not in our library10.1021/acsnano.1c01577

  282. 282.

    Zhao E.; Hong Y.; Chen S.; Leung C. W.; Chan C. Y.; Kwok R. T.; Lam J. W.; Tang B. Z. Highly fluorescent and photostable probe for long-term bacterial viability assay based on aggregation-induced emission. Adv. Healthcare Mater. 2014, 3 (1), 88–96..

    Not in our library10.1002/adhm.201200475

  283. 283.

    Zhao E.; Chen Y.; Chen S.; Deng H.; Gui C.; Leung C. W.; Hong Y.; Lam J. W.; Tang B. Z. A Luminogen with Aggregation-Induced Emission Characteristics for Wash-Free Bacterial Imaging, High-Throughput Antibiotics Screening and Bacterial Susceptibility Evaluation. Adv. Mater. 2015, 27 (33), 4931–4937..

    Not in our library10.1002/adma.201501972

  284. 284.

    Ye Z.; He W.; Zhang Z.; Qiu Z.; Zhao Z.; Tang B. Z. AIEgens for microorganism-related visualization and therapy. Interdiscip. Med. 2023, 1 (2), e20220011.

    Not in our library10.1002/inmd.20220011

  285. 285.

    Hamblin M. R.; Hasan T. Photodynamic therapy: a new antimicrobial approach to infectious disease?. Photochem. Photobiol. Sci. 2004, 3 (5), 436–450..

    Not in our library10.1039/b311900a

  286. 286.

    Wang Y.; Ren M.; Li Y.; Liu F.; Wang Y.; Wang Z.; Feng L. Bioactive AIEgens Tailored for Specific and Sensitive Theranostics of Gram-Positive Bacterial Infection. ACS Appl. Mater. Interfaces 2022, 14 (41), 46340–46350..

    Not in our library10.1021/acsami.2c14550

  287. 287.

    Feng G.; Yuan Y.; Fang H.; Zhang R.; Xing B.; Zhang G.; Zhang D.; Liu B. A light-up probe with aggregation-induced emission characteristics (AIE) for selective imaging, naked-eye detection and photodynamic killing of Gram-positive bacteria. Chem. Commun. 2015, 51 (62), 12490–12493..

    Not in our library10.1039/c5cc03807c

  288. 288.

    Wang X.; Song M.; Liu Y.; Feng X.; Redshaw C.; Wang D.; Zhu K.; Li Y.; Tang B. Z. Lipid Droplet-Specific Red Aggregation-Induced Emission Luminogens: Fast Light-Up of Gram-Positive Pathogens for Identification of Bacteria. ACS Materials Lett. 2022, 4 (8), 1523–1530..

    Not in our library10.1021/acsmaterialslett.2c00551

  289. 289.

    Jiang G.; Yu J.; Wang J.; Tang B. Z. Ion-π interactions for constructing organic luminescent materials. Aggregate 2022, 3 (6), e285.

    Not in our library10.1002/agt2.285

  290. 290.

    Kang M.; Zhou C.; Wu S.; Yu B.; Zhang Z.; Song N.; Lee M. M. S.; Xu W.; Xu F.-J.; Wang D.; Wang L.; Tang B. Z. Evaluation of Structure-Function Relationships of Aggregation-Induced Emission Luminogens for Simultaneous Dual Applications of Specific Discrimination and Efficient Photodynamic Killing of Gram-Positive Bacteria. J. Am. Chem. Soc. 2019, 141 (42), 16781–16789..

    Not in our library10.1021/jacs.9b07162

  291. 291.

    Zhou C.; Guo Q.; Feng J.; Liu Z.; Qiao Y. Tunable AIE-Active Assemblies Inducing Bacterial Agglutination toward Noninvasive Photodynamic Antiseptic. ACS Appl. Bio Mater. 2022, 5 (7), 3127–3133..

    Not in our library10.1021/acsabm.2c00370

  292. 292.

    Chen X.; Han H.; Tang Z.; Jin Q.; Ji J. Aggregation-Induced Emission-Based Platforms for the Treatment of Bacteria, Fungi, and Viruses. Adv. Healthcare Mater. 2021, 10 (24), 2100736.

    Not in our library10.1002/adhm.202100736

  293. 293.

    He X.; Xiong L.-H.; Zhao Z.; Wang Z.; Luo L.; Lam J. W. Y.; Kwok R. T. K.; Tang B. Z. AIE-based theranostic systems for detection and killing of pathogens. Theranostics 2019, 9 (11), 3223–3248..

    Not in our library10.7150/thno.31844

  294. 294.

    Song Z.; Zhang W.; Jiang M.; Sung H. H. Y.; Kwok R. T. K.; Nie H.; Williams I. D.; Liu B.; Tang B. Z. Synthesis of Imidazole-Based AIEgens with Wide Color Tunability and Exploration of their Biological Applications. Adv. Funct. Mater. 2016, 26 (6), 824–832..

    Not in our library10.1002/adfm.201503788

  295. 295.

    Kathiravan A.; Sundaravel K.; Jaccob M.; Dhinagaran G.; Rameshkumar A.; Arul Ananth D.; Sivasudha T. Pyrene Schiff Base: Photophysics, Aggregation Induced Emission, and Antimicrobial Properties. J. Phys. Chem. B 2014, 118 (47), 13573–13581..

    Not in our library10.1021/jp509697n

  296. 296.

    Zhou C.; Jiang M.; Du J.; Bai H.; Shan G.; Kwok R. T. K.; Chau J. H. C.; Zhang J.; Lam J. W. Y.; Huang P.; Tang B. Z. One stone, three birds: one AIEgen with three colors for fast differentiation of three pathogens. Chem. Sci. 2020, 11 (18), 4730–4740..

    Not in our library10.1039/d0sc00256a

  297. 297.

    Ge X.; Gao M.; Situ B.; Feng W.; He B.; He X.; Li S.; Ou Z.; Zhong Y.; Lin Y.; Ye X.; Hu X.; Tang B. Z.; Zheng L. One-step, rapid fluorescence sensing of fungal viability based on a bioprobe with aggregation-induced emission characteristics. Mater. Chem. Front. 2020, 4 (3), 957–964..

    Not in our library10.1039/c9qm00732f

  298. 298.

    Bray F.; Laversanne M.; Weiderpass E.; Soerjomataram I. The ever-increasing importance of cancer as a leading cause of premature death worldwide. Cancer 2021, 127 (16), 3029–3030..

    Not in our library10.1002/cncr.33587

  299. 299.

    Sung H.; Ferlay J.; Siegel R. L.; Laversanne M.; Soerjomataram I.; Jemal A.; Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: Cancer J. Clin. 2021, 71 (3), 209–249..

    Not in our library10.3322/caac.21660

  300. 300.

    Jemal A.; Bray F.; Center M. M.; Ferlay J.; Ward E.; Forman D. Global cancer statistics. CA: Cancer J. Clin. 2011, 61 (2), 69–90..

    Not in our library10.3322/caac.20107

  301. 301.

    Cai X.; Liu B. Aggregation-Induced Emission: Recent Advances in Materials and Biomedical Applications. Angew. Chem., Int. Ed. 2020, 59 (25), 9868–9886..

    Not in our library10.1002/anie.202000845

  302. 302.

    Kumar R.; Shin W. S.; Sunwoo K.; Kim W. Y.; Koo S.; Bhuniya S.; Kim J. S. Small conjugate-based theranostic agents: an encouraging approach for cancer therapy. Chem. Soc. Rev. 2015, 44 (19), 6670–6683..

    Not in our library10.1039/c5cs00224a

  303. 303.

    Xie J.; Lee S.; Chen X. Nanoparticle-based theranostic agents. Adv. Drug Delivery Rev. 2010, 62 (11), 1064–1079..

    Not in our library10.1016/j.addr.2010.07.009

  304. 304.

    Zhou S.; Zhong Q.; Wang Y.; Hu P.; Zhong W.; Huang C.-B.; Yu Z.-Q.; Ding C.-D.; Liu H.; Fu J. Chemically engineered mesoporous silica nanoparticles-based intelligent delivery systems for theranostic applications in multiple cancerous/non-cancerous diseases. Coordin. Chem. Rev. 2022, 452, 214309.

    Not in our library10.1016/j.ccr.2021.214309

  305. 305.

    Ding C.; Chen C.; Zeng X.; Chen H.; Zhao Y. Emerging Strategies in Stimuli-Responsive Prodrug Nanosystems for Cancer Therapy. ACS Nano 2022, 16 (9), 13513–13553..

    Not in our library10.1021/acsnano.2c05379

  306. 306.

    Ding B.; Zheng P.; Ma P. a.; Lin J. Manganese Oxide Nanomaterials: Synthesis, Properties, and Theranostic Applications. Adv. Mater. 2020, 32 (10), 1905823.

    Not in our library10.1002/adma.201905823

  307. 307.

    Zheng Y.; Wu J.; Jiang H.; Wang X. Gold nanoclusters for theranostic applications. Coordin. Chem. Rev. 2021, 431, 213689.

    Not in our library10.1016/j.ccr.2020.213689

  308. 308.

    Zheng X.; Sun W.; Ju M.; Wu J.; Huang H.; Shen B. A chemical biology toolbox to overcome the hypoxic tumor microenvironment for photodynamic therapy: a review. Biomater. Sci. 2022, 10 (17), 4681–4693..

    Not in our library10.1039/d2bm00776b

  309. 309.

    Mei L.; Zhu S.; Liu Y.; Yin W.; Gu Z.; Zhao Y. An overview of the use of nanozymes in antibacterial applications. Chemical Engineering Journal 2021, 418, 129431.

    Not in our library10.1016/j.cej.2021.129431

  310. 310.

    Luepke K. H.; Suda K. J.; Boucher H.; Russo R. L.; Bonney M. W.; Hunt T. D.; Mohr J. F. III Past, Present, and Future of Antibacterial Economics: Increasing Bacterial Resistance, Limited Antibiotic Pipeline, and Societal Implications. Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy 2017, 37 (1), 71–84..

    Not in our library10.1002/phar.1868

  311. 311.

    Metcalf C. J. E.; Lessler J. Opportunities and challenges in modeling emerging infectious diseases. Science 2017, 357 (6347), 149–152..

    Not in our library10.1126/science.aam8335

  312. 312.

    Bai H.; Lv F.; Liu L.; Wang S. Supramolecular Antibiotic Switches: A Potential Strategy for Combating Drug Resistance. Chem. Eur. J. 2016, 22 (32), 11114–11121..

    Not in our library10.1002/chem.201600877

  313. 313.

    Li X.; Bai H.; Yang Y.; Yoon J.; Wang S.; Zhang X. Supramolecular Antibacterial Materials for Combatting Antibiotic Resistance. Adv. Mater. 2018, 31 (5), 1805092.

    Not in our library10.1002/adma.201805092

  314. 314.

    Huo J.; Jia Q.; Huang H.; Zhang J.; Li P.; Dong X.; Huang W. Emerging photothermal-derived multimodal synergistic therapy in combating bacterial infections. Chem. Soc. Rev. 2021, 50 (15), 8762–8789..

    Not in our library10.1039/d1cs00074h

  315. 315.

    Hu D.; Deng Y.; Jia F.; Jin Q.; Ji J. Surface Charge Switchable Supramolecular Nanocarriers for Nitric Oxide Synergistic Photodynamic Eradication of Biofilms. ACS Nano 2020, 14 (1), 347–359..

    Not in our library10.1021/acsnano.9b05493

  316. 316.

    Bai H.; He W.; Chau J. H. C.; Zheng Z.; Kwok R. T. K.; Lam J. W. Y.; Tang B. Z. AIEgens for microbial detection and antimicrobial therapy. Biomaterials 2021, 268, 120598.

    Not in our library10.1016/j.biomaterials.2020.120598

  317. 317.

    Chen X.; Gao H.; Deng Y.; Jin Q.; Ji J.; Ding D. Supramolecular Aggregation-Induced Emission Nanodots with Programmed Tumor Microenvironment Responsiveness for Image-Guided Orthotopic Pancreatic Cancer Therapy. ACS Nano 2020, 14 (4), 5121–5134..

    Not in our library10.1021/acsnano.0c02197

  318. 318.

    Wang H.; Liu G. Advances in luminescent materials with aggregation-induced emission (AIE) properties for biomedical applications. J. Mater. Chem. B 2018, 6 (24), 4029–4042..

    Not in our library10.1039/c8tb00674a

  319. 319.

    Li L.; Yuan G.; Qi Q.; Lv C.; Liang J.; Li H.; Cao L.; Zhang X.; Wang S.; Cheng Y.; He H. Synthesis of tetraphenylethene-based D-A conjugated molecules with near-infrared AIE features, and their application in photodynamic therapy. J. Mater. Chem. B 2022, 10 (18), 3550–3559..

    Not in our library10.1039/d1tb02598h

  320. 320.

    Jia S.; Yuan H.; Hu R. Design and structural regulation of AIE photosensitizers for imaging-guided photodynamic anti-tumor application. Biomaterials Science 2022, 10 (16), 4443–4457..

    Not in our library10.1039/d2bm00864e

  321. 321.

    Prasad P.; Gupta A.; Sasmal P. K. Aggregation-induced emission active metal complexes: a promising strategy to tackle bacterial infections. Chem. Commun. 2021, 57 (2), 174–186..

    Not in our library10.1039/d0cc06037b

  322. 322.

    Wang J.; Li J.; Shen Z.; Wang D.; Tang B. Z. Phospholipid-Mimetic Aggregation-Induced Emission Luminogens for Specific Elimination of Gram-Positive and Gram-Negative Bacteria. ACS Nano 2023, 17 (5), 4239–4249..

    Not in our library10.1021/acsnano.2c05821

  323. 323.

    Singh S. K.; Mazumder S.; Vincy A.; Hiremath N.; Kumar R.; Banerjee I.; Vankayala R. Review of Photoresponsive Plasmonic Nanoparticles That Produce Reactive Chemical Species for Photodynamic Therapy of Cancer and Bacterial Infections. ACS Applied Nano Materials 2023, 6 (3), 1508–1521..

    Not in our library10.1021/acsanm.2c04551

  324. 324.

    Duo Y.; Zhu D.; Sun X.; Suo M.; Zheng Z.; Jiang W.; Tang B. Z. Patient-derived microvesicles/AIE luminogen hybrid system for personalized sonodynamic cancer therapy in patient-derived xenograft models. Biomaterials 2021, 272, 120755.

    Not in our library10.1016/j.biomaterials.2021.120755

  325. 325.

    G R S.; Pandey M.; Chakravarthy A. S. J. Review on new horizons of aggregation induced emission: from design to development. Mater. Chem. Front. 2021, 5 (4), 1541–1584..

    Not in our library10.1039/d0qm00825g

  326. 326.

    Sun Q.; Su Q.; Gao Y.; Zhou K.; Song W.; Quan P.; Yang X.; Ge Z.; Zhang Y.; He G. Cationic telluroviologen derivatives as type-I photosensitizers for tumor photodynamic theranostics. Aggregate 2022, 4 (3), e298.

    Not in our library10.1002/agt2.298

  327. 327.

    Augustine S.; Singh J.; Srivastava M.; Sharma M.; Das A.; Malhotra B. D. Recent advances in carbon based nanosystems for cancer theranostics. Biomaterials Science 2017, 5 (5), 901–952..

    Not in our library10.1039/c7bm00008a

  328. 328.

    Sundaram A.; Ponraj J. S.; Wang C.; Peng W. K.; Manavalan R. K.; Dhanabalan S. C.; Zhang H.; Gaspar J. Engineering of 2D transition metal carbides and nitrides MXenes for cancer therapeutics and diagnostics. J. Mater. Chem. B 2020, 8 (23), 4990–5013..

    Not in our library10.1039/d0tb00251h

  329. 329.

    Wu D.; Yang K.; Zhang Z.; Feng Y.; Rao L.; Chen X.; Yu G. Metal-free bioorthogonal click chemistry in cancer theranostics. Chem. Soc. Rev. 2022, 51 (4), 1336–1376..

    Not in our library10.1039/d1cs00451d

  330. 330.
  331. 331.

    Li M.; Luo Z.; Zhao Y. Self-Assembled Hybrid Nanostructures: Versatile Multifunctional Nanoplatforms for Cancer Diagnosis and Therapy. Chem. Mater. 2018, 30 (1), 25–53..

    Not in our library10.1021/acs.chemmater.7b03924

  332. 332.

    Wang S.; Wang Z.; Hou Y. Self-assembled magnetic nanomaterials: Versatile theranostics nanoplatforms for cancer. Aggregate 2021, 2 (2), e18.

    Not in our library10.1002/agt2.18

  333. 333.

    Mostafavi E.; Iravani S.; Varma R. S.; Khatami M.; Rahbarizadeh F. Eco-friendly synthesis of carbon nanotubes and their cancer theranostic applications. Mater. Adv. 2022, 3 (12), 4765–4782..

    Not in our library10.1039/d2ma00341d

  334. 334.

    Cheng P.; Pu K. Activatable Phototheranostic Materials for Imaging-Guided Cancer Therapy. ACS Appl. Mater. Interfaces 2020, 12 (5), 5286–5299..

    Not in our library10.1021/acsami.9b15064

  335. 335.

    Yao S.; Chen Y.; Ding W.; Xu F.; Liu Z.; Li Y.; Wu Y.; Li S.; He W.; Guo Z. Single-atom engineering of hemicyanine and its amphiphilic derivative for optimized near infrared phototheranostics. Chem. Sci. 2023, 14 (5), 1234–1243..

    Not in our library10.1039/d2sc05982g

  336. 336.

    Li H.; Kim Y.; Jung H.; Hyun J. Y.; Shin I. Near-infrared (NIR) fluorescence-emitting small organic molecules for cancer imaging and therapy. Chem. Soc. Rev. 2022, 51 (21), 8957–9008..

    Not in our library10.1039/d2cs00722c

  337. 337.

    Deng Y.; Song P.; Chen X.; Huang Y.; Hong L.; Jin Q.; Ji J. 3-Bromopyruvate-Conjugated Nanoplatform-Induced Pro-Death Autophagy for Enhanced Photodynamic Therapy against Hypoxic Tumor. ACS Nano 2020, 14 (8), 9711–9727..

    Not in our library10.1021/acsnano.0c01350

  338. 338.

    Huang J.; Chen X.; Jiang Y.; Zhang C.; He S.; Wang H.; Pu K. Renal clearable polyfluorophore nanosensors for early diagnosis of cancer and allograft rejection. Nat. Mater. 2022, 21 (5), 598–607..

    Not in our library10.1038/s41563-022-01224-2

  339. 339.

    Chen K.; Xing R.; Yan X. Self-assembling bile pigments for cancer diagnosis and therapy. Aggregate 2021, 2 (1), 84–94..

    Not in our library10.1002/agt2.13

  340. 340.

    Luo S.; Zhang E.; Su Y.; Cheng T.; Shi C. A review of NIR dyes in cancer targeting and imaging. Biomaterials 2011, 32 (29), 7127–7138..

    Not in our library10.1016/j.biomaterials.2011.06.024

  341. 341.

    Wu W.; Li Z. Nanoprobes with aggregation-induced emission for theranostics. Mater. Chem. Front. 2021, 5 (2), 603–626..

    Not in our library10.1039/d0qm00617c

  342. 342.

    Tan Y.; Liu P.; Li D.; Wang D.; Tang B. Z. NIR-II Aggregation-Induced Emission Luminogens for Tumor Phototheranostics. Biosensors 2022, 12 (1), 46.

    Not in our library10.3390/bios12010046

  343. 343.

    Liu X.; Duan Y.; Liu B. Nanoparticles as contrast agents for photoacoustic brain imaging. Aggregate 2021, 2 (1), 4–19..

    Not in our library10.1002/agt2.26

  344. 344.

    Chen Z.; Tu Y.; Zhang D.; Liu C.; Zhou Y.; Li X.; Wu X.; Liu R. A thermosensitive nanoplatform for photoacoustic imaging and NIR light triggered chemo-photothermal therapy. Biomater. Sci. 2020, 8 (15), 4299–4307..

    Not in our library10.1039/d0bm00810a

  345. 345.

    Lucky S. S.; Soo K. C.; Zhang Y. Nanoparticles in Photodynamic Therapy. Chem. Rev. 2015, 115 (4), 1990–2042..

    Not in our library10.1021/cr5004198

  346. 346.

    Celli J. P.; Spring B. Q.; Rizvi I.; Evans C. L.; Samkoe K. S.; Verma S.; Pogue B. W.; Hasan T. Imaging and Photodynamic Therapy: Mechanisms, Monitoring, and Optimization. Chem. Rev. 2010, 110 (5), 2795–2838..

    Not in our library10.1021/cr900300p

  347. 347.

    Escudero A.; Carrillo-Carrión C.; Castillejos M. C.; Romero-Ben E.; Rosales-Barrios C.; Khiar N. Photodynamic therapy: photosensitizers and nanostructures. Mater. Chem. Front. 2021, 5 (10), 3788–3812..

    Not in our library10.1039/d0qm00922a

  348. 348.

    An R.; Cheng X.; Wei S.; Hu Y.; Sun Y.; Huang Z.; Chen H.-Y.; Ye D. Smart Magnetic and Fluorogenic Photosensitizer Nanoassemblies Enable Redox-Driven Disassembly for Photodynamic Therapy. Angew. Chem., Int. Ed. 2020, 59 (46), 20636–20644..

    Not in our library10.1002/anie.202009141

  349. 349.

    Barman D.; Narang K.; Parui R.; Zehra N.; Khatun M. N.; Adil L. R.; Iyer P. K. Review on recent trends and prospects in π-conjugated luminescent aggregates for biomedical applications. Aggregate 2022, 3 (5), e172.

    Not in our library10.1002/agt2.172

  350. 350.

    Kasha M. Energy Transfer Mechanisms and the Molecular Exciton Model for Molecular Aggregates. Radiat. Res. 1963, 20 (1), 55–70..

    Not in our library10.2307/3571331

  351. 351.

    Zhao J.; Wu W.; Sun J.; Guo S. Triplet photosensitizers: from molecular design to applications. Chem. Soc. Rev. 2013, 42 (12), 5323–5351..

    Not in our library10.1039/c3cs35531d

  352. 352.

    Robertson C. A.; Evans D. H.; Abrahamse H. Photodynamic therapy (PDT): A short review on cellular mechanisms and cancer research applications for PDT. J. Photochem. Photobiol., B 2009, 96 (1), 1–8..

    Not in our library10.1016/j.jphotobiol.2009.04.001

  353. 353.

    Bonnett R. Photosensitizers of the porphyrin and phthalocyanine series for photodynamic therapy. Chem. Soc. Rev. 1995, 24 (1), 19–33..

    Not in our library10.1039/cs9952400019

  354. 354.

    Wang J.; Li J.; Yu Z.; Zhu X.; Yu J.; Wu Z.; Wang S.; Zhou H. Molecular Tailoring Based on Forster Resonance Energy Transfer for Initiating Two-Photon Theranostics with Amplified Reactive Oxygen Species. Anal. Chem. 2022, 94 (40), 14029–14037..

    Not in our library10.1021/acs.analchem.2c03408

  355. 355.

    Li J.; Zhuang Z.; Zhao Z.; Tang B. Z. Type I AIE photosensitizers: Mechanism and application. VIEW 2022, 3 (2), 20200121.

    Not in our library10.1002/viw.20200121

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    Zheng Z.; Liu H.; Zhai S.; Zhang H.; Shan G.; Kwok R. T. K.; Ma C.; Sung H. H. Y.; Williams I. D.; Lam J. W. Y.; Wong K. S.; Hu X.; Tang B. Z. Highly efficient singlet oxygen generation, two-photon photodynamic therapy and melanoma ablation by rationally designed mitochondria-specific near-infrared AIEgens. Chem. Sci. 2020, 11 (9), 2494–2503..

    Not in our library10.1039/c9sc06441a

  357. 357.

    Zhao X.; Liu J.; Fan J.; Chao H.; Peng X. Recent progress in photosensitizers for overcoming the challenges of photodynamic therapy: from molecular design to application. Chem. Soc. Rev. 2021, 50 (6), 4185–4219..

    Not in our library10.1039/d0cs00173b

  358. 358.

    Wang J.; Zhu X.; Zhang J.; Wang H.; Liu G.; Bu Y.; Yu J.; Tian Y.; Zhou H. AIE-Based Theranostic Agent: In Situ Tracking Mitophagy Prior to Late Apoptosis To Guide the Photodynamic Therapy. ACS Appl. Mater. Interfaces 2020, 12 (2), 1988–1996..

    Not in our library10.1021/acsami.9b15577

  359. 359.

    Piksa M.; Lian C.; Samuel I. C.; Pawlik K. J.; Samuel I. D. W.; Matczyszyn K. The role of the light source in antimicrobial photodynamic therapy. Chem. Soc. Rev. 2023, 52 (5), 1697–1722..

    Not in our library10.1039/d0cs01051k

  360. 360.

    Monro S.; Colón K. L.; Yin H.; Roque J. III; Konda P.; Gujar S.; Thummel R. P.; Lilge L.; Cameron C. G.; McFarland S. A. Transition Metal Complexes and Photodynamic Therapy from a Tumor-Centered Approach: Challenges, Opportunities, and Highlights from the Development of TLD1433. Chem. Rev. 2019, 119 (2), 797–828..

    Not in our library10.1021/acs.chemrev.8b00211

  361. 361.

    Li W.-J.; Hu Z.; Xu L.; Wang X.-Q.; Wang W.; Yin G.-Q.; Zhang D.-Y.; Sun Z.; Li X.; Sun H.; Yang H.-B. Rotaxane-Branched Dendrimers with Enhanced Photosensitization. J. Am. Chem. Soc. 2020, 142 (39), 16748–16756..

    Not in our library10.1021/jacs.0c07292

  362. 362.

    Wu Y.; Li S.; Chen Y.; He W.; Guo Z. Recent advances in noble metal complex based photodynamic therapy. Chem. Sci. 2022, 13 (18), 5085–5106..

    Not in our library10.1039/d1sc05478c

  363. 363.

    Pham T. C.; Nguyen V.-N.; Choi Y.; Lee S.; Yoon J. Recent Strategies to Develop Innovative Photosensitizers for Enhanced Photodynamic Therapy. Chem. Rev. 2021, 121 (21), 13454–13619..

    Not in our library10.1021/acs.chemrev.1c00381

  364. 364.

    Hak A.; Ali M. S.; Sankaranarayanan S. A.; Shinde V. R.; Rengan A. K. Chlorin e6: A Promising Photosensitizer in Photo-Based Cancer Nanomedicine. ACS Appl. Bio Mater. 2023, 6 (2), 349–364..

    Not in our library10.1021/acsabm.2c00891

  365. 365.

    Lovell J. F.; Liu T. W. B.; Chen J.; Zheng G. Activatable Photosensitizers for Imaging and Therapy. Chem. Rev. 2010, 110 (5), 2839–2857..

    Not in our library10.1021/cr900236h

  366. 366.

    Shen B.; Jung K. H.; Ye S.; Hoelzel C. A.; Wolstenholme C. H.; Huang H.; Liu Y.; Zhang X. A dual-functional BODIPY-based molecular rotor probe reveals different viscosity of protein aggregates in live cells. Aggregate 2022, 4 (3), e301.

    Not in our library10.1002/agt2.301

  367. 367.

    Wang R.; Li X.; Yoon J. Organelle-Targeted Photosensitizers for Precision Photodynamic Therapy. ACS Appl. Mater. Interfaces 2021, 13 (17), 19543–19571..

    Not in our library10.1021/acsami.1c02019

  368. 368.

    Zhu X.; Liu G.; Bu Y.; Zhang J.; Wang L.; Tian Y.; Yu J.; Wu Z.; Zhou H. In Situ Monitoring of Mitochondria Regulating Cell Viability by the RNA-Specific Fluorescent Photosensitizer. Anal. Chem. 2020, 92 (15), 10815–10821..

    Not in our library10.1021/acs.analchem.0c02298

  369. 369.

    Yuan Y.; Feng G.; Qin W.; Tang B. Z.; Liu B. Targeted and image-guided photodynamic cancer therapy based on organic nanoparticles with aggregation-induced emission characteristics. Chem. Commun. 2014, 50 (63), 8757–8760..

    Not in our library10.1039/c4cc02767a

  370. 370.

    Liu S.; Feng G.; Tang B. Z.; Liu B. Recent advances of AIE light-up probes for photodynamic therapy. Chem. Sci. 2021, 12 (19), 6488–6506..

    Not in our library10.1039/d1sc00045d

  371. 371.

    Zheng Z.; Zhang T.; Liu H.; Chen Y.; Kwok R. T. K.; Ma C.; Zhang P.; Sung H. H. Y.; Williams I. D.; Lam J. W. Y.; Wong K. S.; Tang B. Z. Bright Near-Infrared Aggregation-Induced Emission Luminogens with Strong Two-Photon Absorption, Excellent Organelle Specificity, and Efficient Photodynamic Therapy Potential. ACS Nano 2018, 12 (8), 8145–8159..

    Not in our library10.1021/acsnano.8b03138

  372. 372.

    Duo Y.; Suo M.; Zhu D.; Li Z.; Zheng Z.; Tang B. Z. AIEgen-Based Bionic Nanozymes for the Interventional Photodynamic Therapy-Based Treatment of Orthotopic Colon Cancer. ACS Appl. Mater. Interfaces 2022, 14 (23), 26394–26403..

    Not in our library10.1021/acsami.2c04210

  373. 373.

    Hu F.; Huang Y.; Zhang G.; Zhao R.; Yang H.; Zhang D. Targeted Bioimaging and Photodynamic Therapy of Cancer Cells with an Activatable Red Fluorescent Bioprobe. Anal. Chem. 2014, 86 (15), 7987–7995..

    Not in our library10.1021/ac502103t

  374. 374.

    Fulda S.; Galluzzi L.; Kroemer G. Targeting mitochondria for cancer therapy. Nat. Rev. Drug Discovery 2010, 9 (6), 447–464..

    Not in our library10.1038/nrd3137

  375. 375.

    Zhao E.; Deng H.; Chen S.; Hong Y.; Leung C. W. T.; Lam J. W. Y.; Tang B. Z. A dual functional AEE fluorogen as a mitochondrial-specific bioprobe and an effective photosensitizer for photodynamic therapy. Chem. Commun. 2014, 50 (92), 14451–14454..

    Not in our library10.1039/c4cc07128j

  376. 376.

    Kamkaew A.; Lim S. H.; Lee H. B.; Kiew L. V.; Chung L. Y.; Burgess K. BODIPY dyes in photodynamic therapy. Chem. Soc. Rev. 2013, 42 (1), 77–88..

    Not in our library10.1039/c2cs35216h

  377. 377.

    Turksoy A.; Yildiz D.; Akkaya E. U. Photosensitization and controlled photosensitization with BODIPY dyes. Coordin. Chem. Rev. 2019, 379, 47–64..

    Not in our library10.1016/j.ccr.2017.09.029

  378. 378.

    Loudet A.; Burgess K. BODIPY Dyes and Their Derivatives: Syntheses and Spectroscopic Properties. Chem. Rev. 2007, 107 (11), 4891–4932..

    Not in our library10.1021/cr078381n

  379. 379.

    Boens N.; Leen V.; Dehaen W. Fluorescent indicators based on BODIPY. Chem. Soc. Rev. 2012, 41 (3), 1130–1172..

    Not in our library10.1039/c1cs15132k

  380. 380.

    Qi S.; Kwon N.; Yim Y.; Nguyen V.-N.; Yoon J. Fine-tuning the electronic structure of heavy-atom-free BODIPY photosensitizers for fluorescence imaging and mitochondria-targeted photodynamic therapy. Chem. Sci. 2020, 11 (25), 6479–6484..

    Not in our library10.1039/d0sc01171a

  381. 381.

    Nguyen V.-N.; Yim Y.; Kim S.; Ryu B.; Swamy K. M. K.; Kim G.; Kwon N.; Kim C.-Y.; Park S.; Yoon J. Molecular Design of Highly Efficient Heavy-Atom-Free Triplet BODIPY Derivatives for Photodynamic Therapy and Bioimaging. Angew. Chem., Int. Ed. 2020, 59 (23), 8957–8962..

    Not in our library10.1002/anie.202002843

  382. 382.

    Li H.; Lu Y.; Chung J.; Han J.; Kim H.; Yao Q.; Kim G.; Wu X.; Long S.; Peng X.; Yoon J. Activation of apoptosis by rationally constructing NIR amphiphilic AIEgens: surmounting the shackle of mitochondrial membrane potential for amplified tumor ablation. Chem. Sci. 2021, 12 (31), 10522–10531..

    Not in our library10.1039/d1sc02227j

  383. 383.
  384. 384.

    Grandjean D.; Coutiño-Gonzalez E.; Cuong N. T.; Fron E.; Baekelant W.; Aghakhani S.; Schlexer P.; D’Acapito F.; Banerjee D.; Roeffaers M. B. J.; Nguyen M. T.; Hofkens J.; Lievens P. Origin of the bright photoluminescence of few-atom silver clusters confined in LTA zeolites. Science 2018, 361 (6403), 686–690..

    Not in our library10.1126/science.aaq1308

  385. 385.

    Huang R.-W.; Wei Y.-S.; Dong X.-Y.; Wu X.-H.; Du C.-X.; Zang S.-Q.; Mak T. C. W. Hypersensitive dual-function luminescence switching of a silver-chalcogenolate cluster-based metal-organic framework. Nat. Chem. 2017, 9 (7), 689–697..

    Not in our library10.1038/nchem.2718

  386. 386.

    Zeng C.; Chen Y.; Kirschbaum K.; Lambright K. J.; Jin R. Emergence of hierarchical structural complexities in nanoparticles and their assembly. Science 2016, 354 (6319), 1580–1584..

    Not in our library10.1126/science.aak9750

  387. 387.

    Wang Z.-Y.; Wang M.-Q.; Li Y.-L.; Luo P.; Jia T.-T.; Huang R.-W.; Zang S.-Q.; Mak T. C. W. Atomically Precise Site-Specific Tailoring and Directional Assembly of Superatomic Silver Nanoclusters. J. Am. Chem. Soc. 2018, 140 (3), 1069–1076..

    Not in our library10.1021/jacs.7b11338

  388. 388.

    Luo Z.; Nachammai V.; Zhang B.; Yan N.; Leong D. T.; Jiang D.-e.; Xie J. Toward Understanding the Growth Mechanism: Tracing All Stable Intermediate Species from Reduction of Au(I)-Thiolate Complexes to Evolution of Au25 Nanoclusters. J. Am. Chem. Soc. 2014, 136 (30), 10577–10580..

    Not in our library10.1021/ja505429f

  389. 389.

    Cao Y.; Chen T.; Yao Q.; Xie J. Diversification of Metallic Molecules through Derivatization Chemistry of Au25 Nanoclusters. Acc. Chem. Res. 2021, 54 (22), 4142–4153..

    Not in our library10.1021/acs.accounts.1c00481

  390. 390.

    Xiao Y.; Wu Z.; Yao Q.; Xie J. Luminescent metal nanoclusters: Biosensing strategies and bioimaging applications. Aggregate 2021, 2 (1), 114–132..

    Not in our library10.1002/agt2.11

  391. 391.

    Qiao J.; Mu X.; Qi L.; Deng J.; Mao L. Folic acid-functionalized fluorescent gold nanoclusters with polymers as linkers for cancer cell imaging. Chem. Commun. 2013, 49 (73), 8030–8032..

    Not in our library10.1039/c3cc44256j

  392. 392.

    Zhong W.; Yan X.; Qu S.; Shang L. Site-specific fabrication of gold nanocluster-based fluorescence photoswitch enabled by the dual roles of albumin proteins. Aggregate 2023, 4 (1), e245.

    Not in our library10.1002/agt2.245

  393. 393.

    Kong Y.-J.; Yan Z.-P.; Li S.; Su H.-F.; Li K.; Zheng Y.-X.; Zang S.-Q. Photoresponsive Propeller-like Chiral AIE Copper(I) Clusters. Angew. Chem., Int. Ed. 2020, 59 (13), 5336–5340..

    Not in our library10.1002/anie.201915844

  394. 394.

    Jin Y.; Peng Q.-C.; Li S.; Su H.-F.; Luo P.; Yang M.; Zhang X.; Li K.; Zang S.-Q.; Tang B. Z.; Mak T. C. W. Aggregation-induced barrier to oxygen—a new AIE mechanism for metal clusters with phosphorescence. National Sci. Rev. 2022, 9 (8), nwab216.

    Not in our library10.1093/nsr/nwab216

  395. 395.

    Hirschhorn T.; Stockwell B. R. The development of the concept of ferroptosis. Free Radical Biol. Med. 2019, 133, 130–143..

    Not in our library10.1016/j.freeradbiomed.2018.09.043

  396. 396.

    Jiang X.; Stockwell B. R.; Conrad M. Ferroptosis: mechanisms, biology and role in disease. Nat. Rev. Mol. Cell. Biol. 2021, 22 (4), 266–282..

    Not in our library10.1038/s41580-020-00324-8

  397. 397.

    Yu X.; Zhang Y.-C.; Yang X.; Huang Z.; Zhang T.; Yang L.; Meng W.; Liu X.; Gong P.; Forni A.; Zheng Z.; Liu B.; Zhang P.; Cai L.; Tang B. Z. Bonsai-inspired AIE nanohybrid photosensitizer based on vermiculite nanosheets for ferroptosis-assisted oxygen self-sufficient photodynamic cancer therapy. Nano Today 2022, 44, 101477.

    Not in our library10.1016/j.nantod.2022.101477

  398. 398.

    Wang S.; Chen C.; Wu J.; Zhang J.; Lam J. W. Y.; Wang H.; Chen L.; Tang B. Z. A mitochondria-targeted AIE photosensitizer for enhancing specificity and efficacy of ferroptosis inducer. Science China Chemistry 2022, 65 (5), 870–876..

    Not in our library10.1007/s11426-021-1207-0

  399. 399.

    Kroemer G.; Galluzzi L.; Kepp O.; Zitvogel L. Immunogenic Cell Death in Cancer Therapy. Annu. Rev. Immunol. 2013, 31 (1), 51–72..

    Not in our library10.1146/annurev-immunol-032712-100008

  400. 400.

    Duan X.; Chan C.; Lin W. Nanoparticle-Mediated Immunogenic Cell Death Enables and Potentiates Cancer Immunotherapy. Angew. Chem., Int. Ed. 2019, 58 (3), 670–680..

    Not in our library10.1002/anie.201804882

  401. 401.

    Galluzzi L.; Kepp O.; Kroemer G. Enlightening the impact of immunogenic cell death in photodynamic cancer therapy. EMBO Journal 2012, 31 (5), 1055–1057..

    Not in our library10.1038/emboj.2012.2

  402. 402.

    Jia S.; Gao Z.; Wu Z.; Gao H.; Wang H.; Ou H.; Ding D. Sonosensitized Aggregation-Induced Emission Dots with Capacities of Immunogenic Cell Death Induction and Multivalent Blocking of Programmed Cell Death-Ligand 1 for Amplified Antitumor Immunotherapy. CCS Chemistry 2022, 4 (2), 501–514..

    Not in our library10.31635/ccschem.021.202101458

  403. 403.

    Chen C.; Ni X.; Jia S.; Liang Y.; Wu X.; Kong D.; Ding D. Massively Evoking Immunogenic Cell Death by Focused Mitochondrial Oxidative Stress using an AIE Luminogen with a Twisted Molecular Structure. Adv. Mater. 2019, 31 (52), 1904914.

    Not in our library10.1002/adma.201904914

  404. 404.

    Li J.; Gao H.; Liu R.; Chen C.; Zeng S.; Liu Q.; Ding D. Endoplasmic reticulum targeted AIE bioprobe as a highly efficient inducer of immunogenic cell death. Science China Chemistry 2020, 63 (10), 1428–1434..

    Not in our library10.1007/s11426-020-9846-4

  405. 405.

    Ji S.; Li J.; Duan X.; Zhang J.; Zhang Y.; Song M.; Li S.; Chen H.; Ding D. Targeted Enrichment of Enzyme-Instructed Assemblies in Cancer Cell Lysosomes Turns Immunologically Cold Tumors Hot. Angew. Chem., Int. Ed. 2021, 60 (52), 26994–27004..

    Not in our library10.1002/anie.202110512

  406. 406.

    Gavilán H.; Avugadda S. K.; Fernández-Cabada T.; Soni N.; Cassani M.; Mai B. T.; Chantrell R.; Pellegrino T. Magnetic nanoparticles and clusters for magnetic hyperthermia: optimizing their heat performance and developing combinatorial therapies to tackle cancer. Chem. Soc. Rev. 2021, 50 (20), 11614–11667..

    Not in our library10.1039/d1cs00427a

  407. 407.

    Zhou J.; Rao L.; Yu G.; Cook T. R.; Chen X.; Huang F. Supramolecular cancer nanotheranostics. Chem. Soc. Rev. 2021, 50 (4), 2839–2891..

    Not in our library10.1039/d0cs00011f

  408. 408.

    Valastyan S.; Weinberg R. A. Tumor Metastasis: Molecular Insights and Evolving Paradigms. Cell 2011, 147 (2), 275–292..

    Not in our library10.1016/j.cell.2011.09.024

  409. 409.

    Veiseh O.; Kievit F. M.; Ellenbogen R. G.; Zhang M. Cancer Cell Invasion: Treatment and Monitoring Opportunities in Nanomedicine. Adv. Drug. Delivery Rev. 2011, 63 (8), 582–596..

    Not in our library10.1016/j.addr.2011.01.010

  410. 410.

    Piccolo T. M.; Menale C.; Crispi S. Combined Anticancer Therapies: An Overview of the Latest Applications. Anti-Cancer Agents in Medicinal Chemistry 2015, 15 (4), 408–422..

    Not in our library10.2174/1871520615666150113123039

  411. 411.

    He C.; Lu J.; Lin W. Hybrid nanoparticles for combination therapy of cancer. J. Controlled Release 2015, 219, 224–236..

    Not in our library10.1016/j.jconrel.2015.09.029

  412. 412.

    Lucena S. R.; Salazar N.; Gracia-Cazaña T.; Zamarrón A.; González S.; Juarranz A.; Gilaberte Y. Combined Treatments with Photodynamic Therapy for Non-Melanoma Skin Cancer. International Journal of Molecular Sciences [Online] 2015, 16, 25912–25933..

    Not in our library10.3390/ijms161025912

  413. 413.

    Bu Y.; Zhu X.; Wang H.; Zhang J.; Wang L.; Yu Z.; Tian Y.; Zhou H.; Xie Y. Self-Monitoring the Endo-Lysosomal Escape and Near-Infrared-Activated Mitophagy To Guide Synergistic Type-I Photodynamic and Photothermal Therapy. Anal. Chem. 2021, 93 (35), 12059–12066..

    Not in our library10.1021/acs.analchem.1c02310

  414. 414.

    Tian G.; Zhang X.; Gu Z.; Zhao Y. Recent Advances in Upconversion Nanoparticles-Based Multifunctional Nanocomposites for Combined Cancer Therapy. Adv. Mater. 2015, 27 (47), 7692–7712..

    Not in our library10.1002/adma.201503280

  415. 415.

    Fan W.; Bu W.; Shi J. On The Latest Three-Stage Development of Nanomedicines based on Upconversion Nanoparticles. Adv. Mater. 2016, 28 (21), 3987–4011..

    Not in our library10.1002/adma.201505678

  416. 416.

    Yu M.; Cao R.; Ma Z.; Zhu M. Development of “smart” drug delivery systems for chemo/PDT synergistic treatment. J. Mater. Chem. B 2023, 11 (7), 1416–1433..

    Not in our library10.1039/d2tb02248f

  417. 417.

    Liu L.; Wang X.; Wang L.-J.; Guo L.; Li Y.; Bai B.; Fu F.; Lu H.; Zhao X. One-for-All Phototheranostic Agent Based on Aggregation-Induced Emission Characteristics for Multimodal Imaging-Guided Synergistic Photodynamic/Photothermal Cancer Therapy. ACS Appl. Mater. Interfaces 2021, 13 (17), 19668–19678..

    Not in our library10.1021/acsami.1c02260

  418. 418.

    Yang M.; Deng J.; Su H.; Gu S.; Zhang J.; Zhong A.; Wu F. Small organic molecule-based nanoparticles with red/near-infrared aggregation-induced emission for bioimaging and PDT/PTT synergistic therapy. Mater. Chem. Front. 2021, 5 (1), 406–417..

    Not in our library10.1039/d0qm00536c

  419. 419.

    Liu Y.; Bhattarai P.; Dai Z.; Chen X. Photothermal therapy and photoacoustic imaging via nanotheranostics in fighting cancer. Chem. Soc. Rev. 2019, 48 (7), 2053–2108..

    Not in our library10.1039/c8cs00618k

  420. 420.

    Qi J.; Ou H.; Liu Q.; Ding D. Gathering brings strength: How organic aggregates boost disease phototheranostics. Aggregate 2021, 2 (1), 95–113..

    Not in our library10.1002/agt2.25

  421. 421.

    Li J.; Pu K. Semiconducting Polymer Nanomaterials as Near-Infrared Photoactivatable Protherapeutics for Cancer. Acc. Chem. Res. 2020, 53 (4), 752–762..

    Not in our library10.1021/acs.accounts.9b00569

  422. 422.

    Zhu W.; Kang M.; Wu Q.; Zhang Z.; Wu Y.; Li C.; Li K.; Wang L.; Wang D.; Tang B. Z. Zwitterionic AIEgens: Rational Molecular Design for NIR-II Fluorescence Imaging-Guided Synergistic Phototherapy. Adv. Funct. Mater. 2021, 31 (3), 2007026.

    Not in our library10.1002/adfm.202007026

  423. 423.

    Yan D.; Li T.; Yang Y.; Niu N.; Wang D.; Ge J.; Wang L.; Zhang R.; Wang D.; Tang B. Z. A Water-Soluble AIEgen for Noninvasive Diagnosis of Kidney Fibrosis via SWIR Fluorescence and Photoacoustic Imaging. Adv. Mater. 2022, 34 (50), 2206643.

    Not in our library10.1002/adma.202206643

  424. 424.

    Song S.; Wang Y.; Zhao Y.; Huang W.; Zhang F.; Zhu S.; Wu Q.; Fu S.; Tang B. Z.; Wang D. Molecular engineering of AIE luminogens for NIR-II/IIb bioimaging and surgical navigation of lymph nodes. Matter 2022, 5 (9), 2847–2863..

    Not in our library10.1016/j.matt.2022.06.030

  425. 425.

    Zhang Z.; Xu W.; Kang M.; Wen H.; Guo H.; Zhang P.; Xi L.; Li K.; Wang L.; Wang D.; Tang B. Z. An All-Round Athlete on the Track of Phototheranostics: Subtly Regulating the Balance between Radiative and Nonradiative Decays for Multimodal Imaging-Guided Synergistic Therapy. Adv. Mater. 2020, 32 (36), 2003210.

    Not in our library10.1002/adma.202003210

  426. 426.

    Wen H.; Zhang Z.; Kang M.; Li H.; Xu W.; Guo H.; Li Y.; Tan Y.; Wen Z.; Wu Q.; Huang J.; Xi L.; Li K.; Wang L.; Wang D.; Tang B. Z. One-for-all phototheranostics: Single component AIE dots as multi-modality theranostic agent for fluorescence-photoacoustic imaging-guided synergistic cancer therapy. Biomaterials 2021, 274, 120892.

    Not in our library10.1016/j.biomaterials.2021.120892

  427. 427.

    Li D.; Chen X.; Wang D.; Wu H.; Wen H.; Wang L.; Jin Q.; Wang D.; Ji J.; Tang B. Z. Synchronously boosting type-I photodynamic and photothermal efficacies via molecular manipulation for pancreatic cancer theranostics in the NIR-II window. Biomaterials 2022, 283, 121476.

    Not in our library10.1016/j.biomaterials.2022.121476

  428. 428.

    Yan D.; Xie W.; Zhang J.; Wang L.; Wang D.; Tang B. Z. Donor/π-Bridge Manipulation for Constructing a Stable NIR-II Aggregation-Induced Emission Luminogen with Balanced Phototheranostic Performance**. Angew. Chem., Int. Ed. 2021, 60 (51), 26769–26776..

    Not in our library10.1002/anie.202111767

  429. 429.

    Feng L.; Li C.; Liu L.; Wang Z.; Chen Z.; Yu J.; Ji W.; Jiang G.; Zhang P.; Wang J.; Tang B. Z. Acceptor Planarization and Donor Rotation: A Facile Strategy for Realizing Synergistic Cancer Phototherapy via Type I PDT and PTT. ACS Nano 2022, 16 (3), 4162–4174..

    Not in our library10.1021/acsnano.1c10019

  430. 430.

    Feng L.; Li C.; Liu L.; Chen X.; Jiang G.; Wang J.; Tang B. Z. A Facile Structural Isomerization-Induced 3D Spatial D-A Interlocked Network for Achieving NIR-II Phototheranostic Agents. Angew. Chem., Int. Ed. 2022, 61 (50), e202212673.

    Not in our library10.1002/anie.202212673

  431. 431.

    Li C.; Jiang G.; Yu J.; Ji W.; Liu L.; Zhang P.; Du J.; Zhan C.; Wang J.; Tang B. Z. Fluorination Enhances NIR-II Emission and Photothermal Conversion Efficiency of Phototheranostic Agents for Imaging-Guided Cancer Therapy. Adv. Mater. 2023, 35 (3), 2208229.

    Not in our library10.1002/adma.202208229

  432. 432.

    Li Y.; Zhuang J.; Lu Y.; Li N.; Gu M.; Xia J.; Zhao N.; Tang B. Z. High-Performance Near-Infrared Aggregation-Induced Emission Luminogen with Mitophagy Regulating Capability for Multimodal Cancer Theranostics. ACS Nano 2021, 15 (12), 20453–20465..

    Not in our library10.1021/acsnano.1c08928

  433. 433.

    Qin Y.; Chen X.; Gui Y.; Wang H.; Tang B. Z.; Wang D. Self-Assembled Metallacage with Second Near-Infrared Aggregation-Induced Emission for Enhanced Multimodal Theranostics. J. Am. Chem. Soc. 2022, 144 (28), 12825–12833..

    Not in our library10.1021/jacs.2c03895

  434. 434.

    Lou X.-Y.; Yang Y.-W. Pillar[n]arene-Based Supramolecular Switches in Solution and on Surfaces. Adv. Mater. 2020, 32 (43), 2003263.

    Not in our library10.1002/adma.202003263

  435. 435.

    Ogoshi T.; Kanai S.; Fujinami S.; Yamagishi T.-a.; Nakamoto Y. para-Bridged Symmetrical Pillar[5]arenes: Their Lewis Acid Catalyzed Synthesis and Host-Guest Property. J. Am. Chem. Soc. 2008, 130 (15), 5022–5023..

    Not in our library10.1021/ja711260m

  436. 436.

    Song N.; Zhang Z.; Liu P.; Dai D.; Chen C.; Li Y.; Wang L.; Han T.; Yang Y.-W.; Wang D.; Tang B. Z. Pillar[5]arene-Modified Gold Nanorods as Nanocarriers for Multi-Modal Imaging-Guided Synergistic Photodynamic-Photothermal Therapy. Adv. Funct. Mater. 2021, 31 (21), 2009924.

    Not in our library10.1002/adfm.202009924

  437. 437.

    Sato K.; Sato N.; Xu B.; Nakamura Y.; Nagaya T.; Choyke P. L.; Hasegawa Y.; Kobayashi H. Spatially selective depletion of tumor-associated regulatory T cells with near-infrared photoimmunotherapy. Sci. Transl. Med. 2016, 8 (352), 352ra110–352ra110..

    Not in our library10.1126/scitranslmed.aaf6843

  438. 438.

    Mitsunaga M.; Ogawa M.; Kosaka N.; Rosenblum L. T.; Choyke P. L.; Kobayashi H. Cancer cell-selective in vivo near infrared photoimmunotherapy targeting specific membrane molecules. Nat. Med. 2011, 17 (12), 1685–1691..

    Not in our library10.1038/nm.2554

  439. 439.

    Kobayashi H.; Choyke P. L. Near-Infrared Photoimmunotherapy of Cancer. Acc. Chem. Res. 2019, 52 (8), 2332–2339..

    Not in our library10.1021/acs.accounts.9b00273

  440. 440.

    Garon E. B.; Rizvi N. A.; Hui R.; Leighl N.; Balmanoukian A. S.; Eder J. P.; Patnaik A.; Aggarwal C.; Gubens M.; Horn L.; Carcereny E.; Ahn M.-J.; Felip E.; Lee J.-S.; Hellmann M. D.; Hamid O.; Goldman J. W.; Soria J.-C.; Dolled-Filhart M.; Rutledge R. Z.; Zhang J.; Lunceford J. K.; Rangwala R.; Lubiniecki G. M.; Roach C.; Emancipator K.; Gandhi L. Pembrolizumab for the Treatment of Non-Small-Cell Lung Cancer. New England Journal of Medicine 2015, 372 (21), 2018–2028..

    Not in our library10.1056/nejmoa1501824

  441. 441.

    Dai J.; Dong X.; Liu R.; Chen B.; Dong X.; Wang Q.; Hu J.-J.; Xia F.; Lou X. A peptide-AIEgen nanocomposite mediated whole cancer immunity cycle-cascade amplification for improved immunotherapy of tumor. Biomaterials 2022, 285, 121528.

    Not in our library10.1016/j.biomaterials.2022.121528

  442. 442.

    Dai J.; Hu J.-J.; Dong X.; Chen B.; Dong X.; Liu R.; Xia F.; Lou X. Deep Downregulation of PD-L1 by Caged Peptide-Conjugated AIEgen/miR-140 Nanoparticles for Enhanced Immunotherapy. Angew. Chem., Int. Ed. 2022, 61 (18), e202117798.

    Not in our library10.1002/anie.202117798

  443. 443.

    Yang X.; Yang T.; Liu Q.; Zhang X.; Yu X.; Kwok R. T. K.; Hai L.; Zhang P.; Tang B. Z.; Cai L.; Gong P. Biomimetic Aggregation-Induced Emission Nanodots with Hitchhiking Function for T Cell-Mediated Cancer Targeting and NIR-II Fluorescence-Guided Mild-Temperature Photothermal Therapy. Adv. Funct. Mater. 2022, 32 (45), 2206346.

    Not in our library10.1002/adfm.202206346

  444. 444.

    Deng G.; Peng X.; Sun Z.; Zheng W.; Yu J.; Du L.; Chen H.; Gong P.; Zhang P.; Cai L.; Tang B. Z. Natural-Killer-Cell-Inspired Nanorobots with Aggregation-Induced Emission Characteristics for Near-Infrared-II Fluorescence-Guided Glioma Theranostics. ACS Nano 2020, 14 (9), 11452–11462..

    Not in our library10.1021/acsnano.0c03824

  445. 445.

    Xu X.; Deng G.; Sun Z.; Luo Y.; Liu J.; Yu X.; Zhao Y.; Gong P.; Liu G.; Zhang P.; Pan F.; Cai L.; Tang B. Z. A Biomimetic Aggregation-Induced Emission Photosensitizer with Antigen-Presenting and Hitchhiking Function for Lipid Droplet Targeted Photodynamic Immunotherapy. Adv. Mater. 2021, 33 (33), 2102322.

    Not in our library10.1002/adma.202102322

  446. 446.

    Zhang X.; Zhang X.; Wang S.; Liu M.; Zhang Y.; Tao L.; Wei Y. Facile Incorporation of Aggregation-Induced Emission Materials into Mesoporous Silica Nanoparticles for Intracellular Imaging and Cancer Therapy. ACS Appl. Mater. Interfaces 2013, 5 (6), 1943–1947..

    Not in our library10.1021/am302512u

  447. 447.

    Chen X.; Li Y.; Li S.; Gao M.; Ren L.; Tang B. Z. Mitochondria- and Lysosomes-Targeted Synergistic Chemo-Photodynamic Therapy Associated with Self-Monitoring by Dual Light-Up Fluorescence. Adv. Funct. Mater. 2018, 28 (44), 1804362.

    Not in our library10.1002/adfm.201804362

  448. 448.

    Zhuang J.; Li N.; Zhang Y.; Li B.; Wen H.; Zhang X.; Zhang T.; Zhao N.; Tang B. Z. Esterase-Activated Theranostic Prodrug for Dual Organelles-Targeted Imaging and Synergetic Chemo-Photodynamic Cancer Therapy. CCS Chemistry 2022, 4 (3), 1028–1043..

    Not in our library10.31635/ccschem.021.202100985

  449. 449.

    Wolfe N. D.; Dunavan C. P.; Diamond J. Origins of major human infectious diseases. Nature 2007, 447 (7142), 279–283..

    Not in our library10.1038/nature05775

  450. 450.

    Geller L. T.; Barzily-Rokni M.; Danino T.; Jonas O. H.; Shental N.; Nejman D.; Gavert N.; Zwang Y.; Cooper Z. A.; Shee K.; Thaiss C. A.; Reuben A.; Livny J.; Avraham R.; Frederick D. T.; Ligorio M.; Chatman K.; Johnston S. E.; Mosher C. M.; Brandis A.; Fuks G.; Gurbatri C.; Gopalakrishnan V.; Kim M.; Hurd M. W.; Katz M.; Fleming J.; Maitra A.; Smith D. A.; Skalak M.; Bu J.; Michaud M.; Trauger S. A.; Barshack I.; Golan T.; Sandbank J.; Flaherty K. T.; Mandinova A.; Garrett W. S.; Thayer S. P.; Ferrone C. R.; Huttenhower C.; Bhatia S. N.; Gevers D.; Wargo J. A.; Golub T. R.; Straussman R. Potential role of intratumor bacteria in mediating tumor resistance to the chemotherapeutic drug gemcitabine. Science 2017, 357 (6356), 1156–1160..

    Not in our library10.1126/science.aah5043

  451. 451.

    Liu S.; Wang B.; Yu Y.; Liu Y.; Zhuang Z.; Zhao Z.; Feng G.; Qin A.; Tang B. Z. Cationization-Enhanced Type I and Type II ROS Generation for Photodynamic Treatment of Drug-Resistant Bacteria. ACS Nano 2022, 16 (6), 9130–9141..

    Not in our library10.1021/acsnano.2c01206

  452. 452.

    Huang J.; Xu Y.; Xue Y.; Huang Y.; Li X.; Chen X.; Xu Y.; Zhang D.; Zhang P.; Zhao J.; Ji J. Identification of potent antimicrobial peptides via a machine-learning pipeline that mines the entire space of peptide sequences. Nat. Biomed. Eng. 2023, 7, 797.

    Not in our library10.1038/s41551-022-00991-2

  453. 453.

    Mao D.; Hu F.; Kenry; Ji S.; Wu W.; Ding D.; Kong D.; Liu B. Metal-Organic-Framework-Assisted In Vivo Bacterial Metabolic Labeling and Precise Antibacterial Therapy. Adv. Mater. 2018, 30 (18), 1706831.

    Not in our library10.1002/adma.201706831

  454. 454.

    Li J.; Meng Z.; Zhuang Z.; Wang B.; Dai J.; Feng G.; Lou X.; Xia F.; Zhao Z.; Tang B. Z. Effective Therapy of Drug-Resistant Bacterial Infection by Killing Planktonic Bacteria and Destructing Biofilms with Cationic Photosensitizer Based on Phosphindole Oxide. Small 2022, 18 (17), 2200743.

    Not in our library10.1002/smll.202200743

  455. 455.

    Cao S.; Shao J.; Abdelmohsen L. K. E. A.; van Hest J. C. M. Amphiphilic AIEgen-polymer aggregates: Design, self-assembly and biomedical applications. Aggregate 2022, 3 (1), e128.

    Not in our library10.1002/agt2.128

  456. 456.

    Zhou T.; Hu R.; Wang L.; Qiu Y.; Zhang G.; Deng Q.; Zhang H.; Yin P.; Situ B.; Zhan C.; Qin A.; Tang B. Z. An AIE-Active Conjugated Polymer with High ROS-Generation Ability and Biocompatibility for Efficient Photodynamic Therapy of Bacterial Infections. Angew. Chem., Int. Ed. 2020, 59 (25), 9952–9956..

    Not in our library10.1002/anie.201916704

  457. 457.

    Lee M. M. S.; Zheng L.; Yu B.; Xu W.; Kwok R. T. K.; Lam J. W. Y.; Xu F.; Wang D.; Tang B. Z. A highly efficient and AIE-active theranostic agent from natural herbs. Mater. Chem. Front. 2019, 3 (7), 1454–1461..

    Not in our library10.1039/c9qm00242a

  458. 458.

    Lee M. M. S.; Wu Q.; Chau J. H. C.; Xu W.; Yu E. Y.; Kwok R. T. K.; Lam J. W. Y.; Wang D.; Tang B. Z. Leveraging bacterial survival mechanism for targeting and photodynamic inactivation of bacterial biofilms with red natural AIEgen. Cell Reports Physical Science 2022, 3 (3), 100803.

    Not in our library10.1016/j.xcrp.2022.100803

  459. 459.

    Li M.; Wen H.; Li H.; Yan Z.-C.; Li Y.; Wang L.; Wang D.; Tang B. Z. AIEgen-loaded nanofibrous membrane as photodynamic/photothermal antimicrobial surface for sunlight-triggered bioprotection. Biomaterials 2021, 276, 121007.

    Not in our library10.1016/j.biomaterials.2021.121007

  460. 460.

    Xi D.; Xiao M.; Cao J.; Zhao L.; Xu N.; Long S.; Fan J.; Shao K.; Sun W.; Yan X.; Peng X. NIR Light-Driving Barrier-Free Group Rotation in Nanoparticles with an 88.3% Photothermal Conversion Efficiency for Photothermal Therapy. Adv. Mater. 2020, 32 (11), 1907855.

    Not in our library10.1002/adma.201907855

  461. 461.

    Tian S.; Bai H.; Li S.; Xiao Y.; Cui X.; Li X.; Tan J.; Huang Z.; Shen D.; Liu W.; Wang P.; Tang B. Z.; Lee C.-S. Water-Soluble Organic Nanoparticles with Programable Intermolecular Charge Transfer for NIR-II Photothermal Anti-Bacterial Therapy. Angew. Chem., Int. Ed. 2021, 60 (21), 11758–11762..

    Not in our library10.1002/anie.202101406

  462. 462.

    Hussain S.; Joo J.; Kang J.; Kim B.; Braun G. B.; She Z.-G.; Kim D.; Mann A. P.; Mölder T.; Teesalu T.; Carnazza S.; Guglielmino S.; Sailor M. J.; Ruoslahti E. Antibiotic-loaded nanoparticles targeted to the site of infection enhance antibacterial efficacy. Nat. Biomed. Eng. 2018, 2 (2), 95–103..

    Not in our library10.1038/s41551-017-0187-5

  463. 463.

    Kamaruzzaman N. F.; Kendall S.; Good L. Targeting the hard to reach: challenges and novel strategies in the treatment of intracellular bacterial infections. Br. J. Pharmacol. 2017, 174 (14), 2225–2236..

    Not in our library10.1111/bph.13664

  464. 464.

    Wu M.; Wu W.; Duan Y.; Liu X.; Wang M.; Phan C. U.; Qi G.; Tang G.; Liu B. HClO-Activated Fluorescence and Photosensitization from an AIE Nanoprobe for Image-Guided Bacterial Ablation in Phagocytes. Adv. Mater. 2020, 32 (47), 2005222.

    Not in our library10.1002/adma.202005222

  465. 465.

    Mao D.; Hu F.; Kenry; Qi G.; Ji S.; Wu W.; Kong D.; Liu B. One-step in vivo metabolic labeling as a theranostic approach for overcoming drug-resistant bacterial infections. Mater. Horizons 2020, 7 (4), 1138–1143..

    Not in our library10.1039/c9mh01675a

  466. 466.

    Fernández A.; Vendrell M. Smart fluorescent probes for imaging macrophage activity. Chem. Soc. Rev. 2016, 45 (5), 1182–1196..

    Not in our library10.1039/c5cs00567a

  467. 467.

    Sokolovska A.; Becker C. E.; Ip W. K. E.; Rathinam V. A. K.; Brudner M.; Paquette N.; Tanne A.; Vanaja S. K.; Moore K. J.; Fitzgerald K. A.; Lacy-Hulbert A.; Stuart L. M. Activation of caspase-1 by the NLRP3 inflammasome regulates the NADPH oxidase NOX2 to control phagosome function. Nat. Immunol. 2013, 14 (6), 543–553..

    Not in our library10.1038/ni.2595

  468. 468.

    Franchi L.; Eigenbrod T.; Muñoz-Planillo R.; Nuñez G. The inflammasome: a caspase-1-activation platform that regulates immune responses and disease pathogenesis. Nat. Immunol. 2009, 10 (3), 241–247..

    Not in our library10.1038/ni.1703

  469. 469.

    Qi G.; Hu F.; Kenry; Shi L.; Wu M.; Liu B. An AIEgen-Peptide Conjugate as a Phototheranostic Agent for Phagosome-Entrapped Bacteria. Angew. Chem., Int. Ed. 2019, 58 (45), 16229–16235..

    Not in our library10.1002/anie.201906099

  470. 470.

    Hu F.; Qi G.; Kenry; Mao D.; Zhou S.; Wu M.; Wu W.; Liu B. Visualization and In Situ Ablation of Intracellular Bacterial Pathogens through Metabolic Labeling. Angew. Chem., Int. Ed. 2020, 59 (24), 9288–9292..

    Not in our library10.1002/anie.201910187

  471. 471.

    Dai T.; Guo B.; Qi G.; Xu S.; Zhou C.; Bazan G. C.; Liu B. An AIEgen as an Intrinsic Antibacterial Agent for Light-Up Detection and Inactivation of Intracellular Gram-Positive Bacteria. Adv. Healthcare Mater. 2021, 10 (24), 2100885.

    Not in our library10.1002/adhm.202100885

  472. 472.

    Li Y.; Liu F.; Zhang J.; Liu X.; Xiao P.; Bai H.; Chen S.; Wang D.; Sung S. H. P.; Kwok R. T. K.; Shen J.; Zhu K.; Tang B. Z. Efficient Killing of Multidrug-Resistant Internalized Bacteria by AIEgens In Vivo. Adv. Sci. 2021, 8 (9), 2001750.

    Not in our library10.1002/advs.202001750

  473. 473.

    Roger A. J.; Muñoz-Gómez S. A.; Kamikawa R. The Origin and Diversification of Mitochondria. Curr. Biol. 2017, 27 (21), R1177–R1192..

    Not in our library10.1016/j.cub.2017.09.015

  474. 474.

    Wu Y.; Li J.; Shen Z.; Wang D.; Dong R.; Zhang J.; Pan Y.; Li Y.; Wang D.; Tang B. Z. Double-pronged Antimicrobial Agents based on a Donor-π-Acceptor Type Aggregation-Induced Emission Luminogen. Angew. Chem., Int. Ed. 2022, 61 (47), e202212386.

    Not in our library10.1002/anie.202212386

  475. 475.
  476. 476.

    Shang J.; Zhang X.; He Z.; Shen S.; Liu D.; Shi W.; Ma H. An Oxazine-Based Fluorogenic Probe with Changeable π-Conjugation to Eliminate False-Positive Interference of Albumin and Its Application to Sensing Aminopeptidase N. Angew. Chem., Int. Ed. 2022, 61 (33), e202205043.

    Not in our library10.1002/anie.202205043

  477. 477.
  478. 478.

    Wu L.; Sedgwick A. C.; Sun X.; Bull S. D.; He X.-P.; James T. D. Reaction-Based Fluorescent Probes for the Detection and Imaging of Reactive Oxygen, Nitrogen, and Sulfur Species. Acc. Chem. Res. 2019, 52 (9), 2582–2597..

    Not in our library10.1021/acs.accounts.9b00302

  479. 479.

    Wu Z.; Liu M.; Liu Z.; Tian Y. Real-Time Imaging and Simultaneous Quantification of Mitochondrial H2O2 and ATP in Neurons with a Single Two-Photon Fluorescence-Lifetime-Based Probe. J. Am. Chem. Soc. 2020, 142 (16), 7532–7541..

    Not in our library10.1021/jacs.0c00771

  480. 480.

    Messina M. S.; Quargnali G.; Chang C. J. Activity-Based Sensing for Chemistry-Enabled Biology: Illuminating Principles, Probes, and Prospects for Boronate Reagents for Studying Hydrogen Peroxide. ACS Bio & Med. Chem. Au 2022, 2 (6), 548–564..

    Not in our library10.1021/acsbiomedchemau.2c00052

  481. 481.

    Takagi T.; Ueno T.; Ikawa K.; Asanuma D.; Nomura Y.; Uno S.-n.; Komatsu T.; Kamiya M.; Hanaoka K.; Okimura C.; Iwadate Y.; Hirose K.; Nagano T.; Sugimura K.; Urano Y. Discovery of an F-actin-binding small molecule serving as a fluorescent probe and a scaffold for functional probes. Sci. Adv. 2021, 7 (47), eabg8585.

    Not in our library10.1126/sciadv.abg8585

  482. 482.

    Bruemmer K. J.; Crossley S. W. M.; Chang C. J. Activity-Based Sensing: A Synthetic Methods Approach for Selective Molecular Imaging and Beyond. Angew. Chem., Int. Ed. 2020, 59 (33), 13734–13762..

    Not in our library10.1002/anie.201909690

  483. 483.

    Xu J.-J.; Zhao W.-W.; Song S.; Fan C.; Chen H.-Y. Functional nanoprobes for ultrasensitive detection of biomolecules: an update. Chem. Soc. Rev. 2014, 43 (5), 1601–1611..

    Not in our library10.1039/c3cs60277j

  484. 484.

    Hoshi K.; Messina M. S.; Ohata J.; Chung C. Y.-S.; Chang C. J. A puromycin-dependent activity-based sensing probe for histochemical staining of hydrogen peroxide in cells and animal tissues. Nat. Protocols 2022, 17 (7), 1691–1710..

    Not in our library10.1038/s41596-022-00694-7

  485. 485.

    Wu X.; Wang R.; Kwon N.; Ma H.; Yoon J. Activatable fluorescent probes for in situ imaging of enzymes. Chem. Soc. Rev. 2022, 51 (2), 450–463..

    Not in our library10.1039/d1cs00543j

  486. 486.

    Chai X.; Han H.-H.; Sedgwick A. C.; Li N.; Zang Y.; James T. D.; Zhang J.; Hu X.-L.; Yu Y.; Li Y.; Wang Y.; Li J.; He X.-P.; Tian H. Photochromic Fluorescent Probe Strategy for the Super-resolution Imaging of Biologically Important Biomarkers. J. Am. Chem. Soc. 2020, 142 (42), 18005–18013..

    Not in our library10.1021/jacs.0c05379

  487. 487.

    Zhang G.-Q.; Feng W.; Gao Z.; Zhang G.-L.; Wu X.; Xiao Y.; Li X.; Zheng L.; Ding D.; Guo J.; Situ B. A NIR ratiometric fluorescent biosensor for sensitive detection and imaging of α-L-fucosidase in living cells and HCC tumor-bearing mice. Aggregate 2023, 4 (2), e286.

    Not in our library10.1002/agt2.286

  488. 488.

    Yang M.; Fan J.; Du J.; Peng X. Small-molecule fluorescent probes for imaging gaseous signaling molecules: current progress and future implications. Chem. Sci. 2020, 11 (20), 5127–5141..

    Not in our library10.1039/d0sc01482f

  489. 489.

    He T.; Guo W.-J.; Chen Y.-Z.; Yang X.-F.; Tung C.-H.; Wu L.-Z. Ratiometric hypoxia detection by bright organic room temperature phosphorescence of uniformed silica nanoparticles in water. Aggregate 2023, 4 (1), e250.

    Not in our library10.1002/agt2.250

  490. 490.

    Chanda K.; Mm B. Light emitting probes - approaches for interdisciplinary applications. Chem. Soc. Rev. 2021, 50 (6), 3706–3719..

    Not in our library10.1039/d0cs01444c

  491. 491.

    Zhang R.; Yan X.; Fan K. Nanozymes Inspired by Natural Enzymes. Accounts of Materials Research 2021, 2 (7), 534–547..

    Not in our library10.1021/accountsmr.1c00074

  492. 492.

    Mei J.; Tian H. Most recent advances on enzyme-activatable optical probes for bioimaging. Aggregate 2021, 2 (2), e32.

    Not in our library10.1002/agt2.32

  493. 493.

    Naghibi S.; Chen T.; Jamshidi Ghahfarokhi A.; Tang Y. AIEgen-enhanced protein imaging: Probe design and sensing mechanisms. Aggregate 2021, 2 (3), e41.

    Not in our library10.1002/agt2.101

  494. 494.

    Zhang J.; Wang Q.; Guo Z.; Zhang S.; Yan C.; Tian H.; Zhu W.-H. High-Fidelity Trapping of Spatial-Temporal Mitochondria with Rational Design of Aggregation-Induced Emission Probes. Adv. Funct. Mater. 2019, 29 (16), 1808153.

    Not in our library10.1002/adfm.201808153

  495. 495.

    Zhang Y.; Wang Q.; Zhu Z.; Zhao W.; Yan C.; Liu Z.; Liu M.; Zhao X.; Tian H.; Zhu W.-H. Spatiotemporal Visualization of Cell Membrane with Amphiphilic Aggregation-Induced Emission-Active Sensor. CCS Chemistry 2022, 4 (5), 1619–1632..

    Not in our library10.31635/ccschem.021.202100967

  496. 496.

    Zhu Z.; Wang Q.; Liao H.; Liu M.; Liu Z.; Zhang Y.; Zhu W.-H. Trapping endoplasmic reticulum with amphiphilic AIE-active sensor via specific interaction of ATP-sensitive potassium (KATP). National Sci. Rev. 2021, 8 (6), nwaa198.

    Not in our library10.1093/nsr/nwaa198

  497. 497.

    Nagashima N.; Ozawa S.; Furuta M.; Oi M.; Hori Y.; Tomita T.; Sohma Y.; Kanai M. Catalytic photooxygenation degrades brain Aβ in vivo. Sci. Adv. 2021, 7 (13), eabc9750.

    Not in our library10.1126/sciadv.abc9750

  498. 498.

    Fu W.; Yan C.; Guo Z.; Zhang J.; Zhang H.; Tian H.; Zhu W.-H. Rational Design of Near-Infrared Aggregation-Induced-Emission-Active Probes: In Situ Mapping of Amyloid-β Plaques with Ultrasensitivity and High-Fidelity. J. Am. Chem. Soc. 2019, 141 (7), 3171–3177..

    Not in our library10.1021/jacs.8b12820

  499. 499.

    Wang Y.-L.; Fan C.; Xin B.; Zhang J.-P.; Luo T.; Chen Z.-Q.; Zhou Q.-Y.; Yu Q.; Li X.-N.; Huang Z.-L.; Li C.; Zhu M.-Q.; Tang B. Z. AIE-based super-resolution imaging probes for β-amyloid plaques in mouse brains. Mater. Chem. Front. 2018, 2 (8), 1554–1562..

    Not in our library10.1039/c8qm00209f

  500. 500.

    Wang Y.-L.; Luo T.; Zhang J.; Fan C.; Li X.; Li C.; Gong H.; Luo Q.; Zhu M.-Q. AIE-based fluorescent micro-optical sectioning tomography for automatic 3D mapping of β-amyloid plaques in Tg mouse whole brain. Chemical Engineering Journal 2022, 446, 136840.

    Not in our library10.1016/j.cej.2022.136840

  501. 501.

    Gu K.; Qiu W.; Guo Z.; Yan C.; Zhu S.; Yao D.; Shi P.; Tian H.; Zhu W.-H. An enzyme-activatable probe liberating AIEgens: on-site sensing and long-term tracking of β-galactosidase in ovarian cancer cells. Chem. Sci. 2019, 10 (2), 398–405..

    Not in our library10.1039/c8sc04266g

  502. 502.

    Koo S.; Won M.; Li H.; Kim W. Y.; Li M.; Yan C.; Sharma A.; Guo Z.; Zhu W.-H.; Sessler J. L.; Lee J. Y.; Kim J. S. Harnessing α-l-fucosidase for in vivo cellular senescence imaging. Chem. Sci. 2021, 12 (29), 10054–10062..

    Not in our library10.1039/d1sc02259h

  503. 503.

    Zhou T.; Wang Q.; Liu M.; Liu Z.; Zhu Z.; Zhao X.; Zhu W.-H. An AIE-based enzyme-activatable fluorescence indicator for Western blot assay: Quantitative expression of proteins with reproducible stable signal and wide linear range. Aggregate 2021, 2 (2), e22.

    Not in our library10.1002/agt2.22

  504. 504.

    Lyu Y.; Chen X.; Wang Q.; Li Q.; Wang Q.; Li X.; Zhu Z.; Yan C.; Zhao X.; Zhu W.-H. Monitoring Autophagy with Atg4B Protease-Activated Aggregation-Induced Emission Probe. Adv. Funct. Mater. 2022, 32 (6), 2108571.

    Not in our library10.1002/adfm.202108571

  505. 505.

    Zhang Y.; Yan C.; Wang C.; Guo Z.; Liu X.; Zhu W.-H. A Sequential Dual-Lock Strategy for Photoactivatable Chemiluminescent Probes Enabling Bright Duplex Optical Imaging. Angew. Chem., Int. Ed. 2020, 59 (23), 9059–9066..

    Not in our library10.1002/anie.202000165

  506. 506.

    Zhu Z.; Wang Q.; Chen X.; Wang Q.; Yan C.; Zhao X.; Zhao W.; Zhu W.-H. An Enzyme-Activatable Aggregation-Induced-Emission Probe: Intraoperative Pathological Fluorescent Diagnosis of Pancreatic Cancer via Specific Cathepsin E. Adv. Mater. 2022, 34 (3), 2107444.

    Not in our library10.1002/adma.202107444

  507. 507.

    Balch W. E.; Morimoto R. I.; Dillin A.; Kelly J. W. Adapting Proteostasis for Disease Intervention. Science 2008, 319 (5865), 916–919..

    Not in our library10.1126/science.1141448

  508. 508.

    Kaushik S.; Cuervo A. M. Proteostasis and aging. Nat. Med. 2015, 21 (12), 1406–1415..

    Not in our library10.1038/nm.4001

  509. 509.

    Li G.; Li Y.-M. Modulating the aggregation of amyloid proteins by macrocycles. Aggregate 2022, 3 (2), e161.

    Not in our library10.1002/agt2.161

  510. 510.

    Liu Y.; Fares M.; Dunham N. P.; Gao Z.; Miao K.; Jiang X.; Bollinger S. S.; Boal A. K.; Zhang X. AgHalo: A Facile Fluorogenic Sensor to Detect Drug-Induced Proteome Stress. Angew. Chem., Int. Ed. 2017, 56 (30), 8672–8676..

    Not in our library10.1002/anie.201702417

  511. 511.

    Sun R.; Wan W.; Jin W.; Bai Y.; Xia Q.; Wang M.; Huang Y.; Zeng L.; Sun J.; Peng C.; Jing B.; Liu Y. Derivatizing Nile Red fluorophores to quantify the heterogeneous polarity upon protein aggregation in the cell. Chem. Commun. 2022, 58 (35), 5407–5410..

    Not in our library10.1039/d2cc00629d

  512. 512.

    Wan W.; Zeng L.; Jin W.; Chen X.; Shen D.; Huang Y.; Wang M.; Bai Y.; Lyu H.; Dong X.; Gao Z.; Wang L.; Liu X.; Liu Y. A Solvatochromic Fluorescent Probe Reveals Polarity Heterogeneity upon Protein Aggregation in Cells. Angew. Chem., Int. Ed. 2021, 60 (49), 25865–25871..

    Not in our library10.1002/anie.202107943

  513. 513.

    Bai Y.; Wan W.; Huang Y.; Jin W.; Lyu H.; Xia Q.; Dong X.; Gao Z.; Liu Y. Quantitative interrogation of protein co-aggregation using multi-color fluorogenic protein aggregation sensors. Chem. Sci. 2021, 12 (24), 8468–8476..

    Not in our library10.1039/d1sc01122g

  514. 514.

    Bai Y.; Huang Y.; Wan W.; Jin W.; Shen D.; Lyu H.; Zeng L.; Liu Y. Derivatizing merocyanine dyes to balance their polarity and viscosity sensitivities for protein aggregation detection. Chem. Commun. 2021, 57 (98), 13313–13316..

    Not in our library10.1039/d1cc05200d

  515. 515.

    Marzano N. R.; Wray K. M.; Johnston C. L.; Paudel B. P.; Hong Y.; van Oijen A.; Ecroyd H. An α-Cyanostilbene Derivative for the Enhanced Detection and Imaging of Amyloid Fibril Aggregates. ACS Chem. Neurosci. 2020, 11 (24), 4191–4202..

    Not in our library10.1021/acschemneuro.0c00478

  516. 516.

    Shen D.; Jin W.; Bai Y.; Huang Y.; Lyu H.; Zeng L.; Wang M.; Tang Y.; Wan W.; Dong X.; Gao Z.; Piao H.-L.; Liu X.; Liu Y. Rational Design of Crystallization-Induced-Emission Probes To Detect Amorphous Protein Aggregation in Live Cells. Angew. Chem., Int. Ed. 2021, 60 (29), 16067–16076..

    Not in our library10.1002/anie.202103674

  517. 517.
  518. 518.

    Owyong T. C.; Subedi P.; Deng J.; Hinde E.; Paxman J. J.; White J. M.; Chen W.; Heras B.; Wong W. W. H.; Hong Y. A Molecular Chameleon for Mapping Subcellular Polarity in an Unfolded Proteome Environment. Angew. Chem., Int. Ed. 2020, 59 (25), 10129–10135..

    Not in our library10.1002/anie.201914263

  519. 519.

    Hong Y.; Meng L.; Chen S.; Leung C. W. T.; Da L.-T.; Faisal M.; Silva D.-A.; Liu J.; Lam J. W. Y.; Huang X.; Tang B. Z. Monitoring and Inhibition of Insulin Fibrillation by a Small Organic Fluorogen with Aggregation-Induced Emission Characteristics. J. Am. Chem. Soc. 2012, 134 (3), 1680–1689..

    Not in our library10.1021/ja208720a

  520. 520.

    Leung C. W. T.; Guo F.; Hong Y.; Zhao E.; Kwok R. T. K.; Leung N. L. C.; Chen S.; Vaikath N. N.; El-Agnaf O. M.; Tang Y.; Gai W.-P.; Tang B. Z. Detection of oligomers and fibrils of α-synuclein by AIEgen with strong fluorescence. Chem. Commun. 2015, 51 (10), 1866–1869..

    Not in our library10.1039/c4cc07911f

  521. 521.

    Das A.; Gupta A.; Hong Y.; Carver J. A.; Maiti S. A Spectroscopic Marker for Structural Transitions Associated with Amyloid-β Aggregation. Biochemistry 2020, 59 (19), 1813–1822..

    Not in our library10.1021/acs.biochem.0c00113

  522. 522.

    Kumar M.; Hong Y.; Thorn D. C.; Ecroyd H.; Carver J. A. Monitoring Early-Stage Protein Aggregation by an Aggregation-Induced Emission Fluorogen. Anal. Chem. 2017, 89 (17), 9322–9329..

    Not in our library10.1021/acs.analchem.7b02090

  523. 523.

    Peng L. S.; Zhang J. Y.; Teng Y. S.; Zhao Y. L.; Wang T. T.; Mao F. Y.; Lv Y. P.; Cheng P.; Li W. H.; Chen N.; Duan M.; Chen W.; Guo G.; Zou Q. M.; Zhuang Y. Tumor-Associated Monocytes/Macrophages Impair NK-Cell Function via TGFbeta1 in Human Gastric Cancer. Cancer Immunol. Res. 2017, 5 (3), 248–256..

    Not in our library10.1158/2326-6066.cir-16-0152

  524. 524.

    Ma K.; Zhang F.; Sayyadi N.; Chen W.; Anwer A. G.; Care A.; Xu B.; Tian W.; Goldys E. M.; Liu G. Turn-on” Fluorescent Aptasensor Based on AIEgen Labeling for the Localization of IFN-γ in Live Cells. ACS Sensors 2018, 3 (2), 320–326..

    Not in our library10.1021/acssensors.7b00720

  525. 525.

    Guan Q.; Li N.; Shi L.; Yu C.; Gao X.; Yang J.; Guo Y.; Li P.; Zhu X. Aggregation-Induced Emission Fluorophore-Based Molecular Beacon for Differentiating Tumor and Normal Cells by Detecting the Specific and False-Positive Signals. ACS Biomater. Sci. Eng. 2019, 5 (7), 3618–3630..

    Not in our library10.1021/acsbiomaterials.9b00627

  526. 526.

    Ma K.; Liu G.-J.; Yan L.; Wen S.; Xu B.; Tian W.; Goldys E. M.; Liu G. AIEgen based poly(L-lactic-co-glycolic acid) magnetic nanoparticles to localize cytokine VEGF for early cancer diagnosis and photothermal therapy. Nanomedicine 2019, 14 (9), 1191–1201..

    Not in our library10.2217/nnm-2018-0467

  527. 527.

    Tang Y.; Zhang D.; Gong X.; Zheng J. Dual-Functional, Multi-Targeting GNNQQNY-AIE Conjugates as Amyloid Probes and Amyloid Modulators via Amyloid Cross-Seeding Principle. Adv. Funct. Mater. 2022, 32 (45), 2208022.

    Not in our library10.1002/adfm.202208022

  528. 528.

    Jia L.; Wang W.; Yan Y.; Hu R.; Sang J.; Zhao W.; Wang Y.; Wei W.; Cui W.; Yang G.; Lu F.; Zheng J.; Liu F. General Aggregation-Induced Emission Probes for Amyloid Inhibitors with Dual Inhibition Capacity against Amyloid β-Protein and α-Synuclein. ACS Appl. Mater. Interfaces 2020, 12 (28), 31182–31194..

    Not in our library10.1021/acsami.0c07745

  529. 529.

    Long Y.; Chen J.; Zeng F.; Wu S. An activatable NIR-II fluorescent probe for tracking heavy-metal ion and high-level salt-induced oxidative stress in plant sprouts. Aggregate 2023, 4 (2), e288.

    Not in our library10.1002/agt2.288

  530. 530.

    Razansky D.; Buehler A.; Ntziachristos V. Volumetric real-time multispectral optoacoustic tomography of biomarkers. Nat. Protocols 2011, 6 (8), 1121–1129..

    Not in our library10.1038/nprot.2011.351

  531. 531.

    Sun L.; Ouyang J.; Ma Y.; Zeng Z.; Zeng C.; Zeng F.; Wu S. An Activatable Probe with Aggregation-Induced Emission for Detecting and Imaging Herbal Medicine Induced Liver Injury with Optoacoustic Imaging and NIR-II Fluorescence Imaging. Adv. Healthcare Mater. 2021, 10 (24), 2100867.

    Not in our library10.1002/adhm.202100867

  532. 532.

    Wu Y.; Zeng F.; Zhao Y.; Wu S. Emerging contrast agents for multispectral optoacoustic imaging and their biomedical applications. Chem. Soc. Rev. 2021, 50 (14), 7924–7940..

    Not in our library10.1039/d1cs00358e

  533. 533.

    Chen J.; Chen L.; Wu Y.; Fang Y.; Zeng F.; Wu S.; Zhao Y. A H2O2-activatable nanoprobe for diagnosing interstitial cystitis and liver ischemia-reperfusion injury via multispectral optoacoustic tomography and NIR-II fluorescent imaging. Nat. Commun. 2021, 12 (1), 6870.

    Not in our library10.1038/s41467-021-27233-4

  534. 534.

    Sun L.; Ouyang J.; Zeng F.; Wu S. An AIEgen-based oral-administration nanosystem for detection and therapy of ulcerative colitis via 3D-MSOT/NIR-II fluorescent imaging and inhibiting NLRP3 inflammasome. Biomaterials 2022, 283, 121468.

    Not in our library10.1016/j.biomaterials.2022.121468

  535. 535.

    Ouyang J.; Sun L.; Zeng Z.; Zeng C.; Zeng F.; Wu S. Nanoaggregate Probe for Breast Cancer Metastasis through Multispectral Optoacoustic Tomography and Aggregation-Induced NIR-I/II Fluorescence Imaging. Angew. Chem., Int. Ed. 2020, 59 (25), 10111–10121..

    Not in our library10.1002/anie.201913149

  536. 536.

    Huang X.; Kon E.; Han X.; Zhang X.; Kong N.; Mitchell M. J.; Peer D.; Tao W. Nanotechnology-based strategies against SARS-CoV-2 variants. Nat. Nanotechnol. 2022, 17 (10), 1027–1037..

    Not in our library10.1038/s41565-022-01174-5

  537. 537.

    Zhang Q.; Yin B.; Hao J.; Ma L.; Huang Y.; Shao X.; Li C.; Chu Z.; Yi C.; Wong S. H. D.; Yang M. An AIEgen/graphene oxide nanocomposite (AIEgen@GO)-based two-stage “turn-on” nucleic acid biosensor for rapid detection of SARS-CoV-2 viral sequence. Aggregate 2023, 4 (1), e195.

    Not in our library10.1002/agt2.195

  538. 538.

    Xiong L.-H.; He X.; Zhao Z.; Kwok R. T. K.; Xiong Y.; Gao P. F.; Yang F.; Huang Y.; Sung H. H. Y.; Williams I. D.; Lam J. W. Y.; Cheng J.; Zhang R.; Tang B. Z. Ultrasensitive Virion Immunoassay Platform with Dual-Modality Based on a Multifunctional Aggregation-Induced Emission Luminogen. ACS Nano 2018, 12 (9), 9549–9557..

    Not in our library10.1021/acsnano.8b05270

  539. 539.

    Hu R.; Liao T.; Ren Y.; Liu W.; Ma R.; Wang X.; Lin Q.; Wang G.; Liang Y. Sensitively detecting antigen of SARS-CoV-2 by NIR-II fluorescent nanoparticles. Nano Res. 2022, 15 (8), 7313–7319..

    Not in our library10.1007/s12274-022-4351-1

  540. 540.

    Chen R.; Ren C.; Liu M.; Ge X.; Qu M.; Zhou X.; Liang M.; Liu Y.; Li F. Early Detection of SARS-CoV-2 Seroconversion in Humans with Aggregation-Induced Near-Infrared Emission Nanoparticle-Labeled Lateral Flow Immunoassay. ACS Nano 2021, 15 (5), 8996–9004..

    Not in our library10.1021/acsnano.1c01932

  541. 541.

    Kovac J.; Bakker H. d.; Carroll L. M.; Wiedmann M. Precision food safety: A systems approach to food safety facilitated by genomics tools. TrAC Trends in Analytical Chemistry 2017, 96, 52–61..

    Not in our library10.1016/j.trac.2017.06.001

  542. 542.

    De Boeck E.; Mortier A. V.; Jacxsens L.; Dequidt L.; Vlerick P. Towards an extended food safety culture model: Studying the moderating role of burnout and jobstress, the mediating role of food safety knowledge and motivation in the relation between food safety climate and food safety behavior. Trends Food Sci. Technol. 2017, 62, 202–214..

    Not in our library10.1016/j.tifs.2017.01.004

  543. 543.

    Focker M.; van Asselt E. D.; Berendsen B. J. A.; van de Schans M. G. M.; van Leeuwen S. P. J.; Visser S. M.; van der Fels-Klerx H. J. Review of food safety hazards in circular food systems in Europe. Food Res. Int. 2022, 158, 111505.

    Not in our library10.1016/j.foodres.2022.111505

  544. 544.

    Wang P.-L.; Xie L.-H.; Joseph E. A.; Li J.-R.; Su X.-O.; Zhou H.-C. Metal-Organic Frameworks for Food Safety. Chem. Rev. 2019, 119 (18), 10638–10690..

    Not in our library10.1021/acs.chemrev.9b00257

  545. 545.

    Huang X.; Guo Q.; Zhang R.; Zhao Z.; Leng Y.; Lam J. W. Y.; Xiong Y.; Tang B. Z. AIEgens: An emerging fluorescent sensing tool to aid food safety and quality control. Compr Rev. Food Sci. Food Saf 2020, 19 (4), 2297–2329..

    Not in our library10.1111/1541-4337.12591

  546. 546.

    Huang X.; Zhang R.; Chen C.; Kwok R. T. K.; Tang B. Z. Wash-free detection and bioimaging by AIEgens. Mater. Chem. Front. 2021, 5 (2), 723–743..

    Not in our library10.1039/d0qm00586j

  547. 547.

    Roy R.; Sajeev N. R.; Sharma V.; Koner A. L. Aggregation Induced Emission Switching Based Ultrasensitive Ratiometric Detection of Biogenic Diamines Using a Perylenediimide-Based Smart Fluoroprobe. ACS Appl. Mater. Interfaces 2019, 11 (50), 47207–47217..

    Not in our library10.1021/acsami.9b14690

  548. 548.

    Chen X.; Tu Y.; Cheng S.; Guo X.; Lu T.; Guo Y.; Huang X.; Xiong Y.; Tang B. Z. A colorimetric and ratiometric fluorescent paper chip for biogenic amine monitoring based on a simple pH-sensitive AIEgen. Chemical Engineering Journal 2022, 450, 137928.

    Not in our library10.1016/j.cej.2022.137928

  549. 549.

    Gao M.; Li S.; Lin Y.; Geng Y.; Ling X.; Wang L.; Qin A.; Tang B. Z. Fluorescent Light-Up Detection of Amine Vapors Based on Aggregation-Induced Emission. ACS Sensors 2016, 1 (2), 179–184..

    Not in our library10.1021/acssensors.5b00182

  550. 550.

    Zhang Q.; Yang L.; Han Y.; Wang Z.; Li H.; Sun S.; Xu Y. A pH-sensitive ESIPT molecule with aggregation-induced emission and tunable solid-state fluorescence multicolor for anti-counterfeiting and food freshness detection. Chemical Engineering Journal 2022, 428, 130986.

    Not in our library10.1016/j.cej.2021.130986

  551. 551.

    Hou J.; Du J.; Hou Y.; Shi P.; Liu Y.; Duan Y.; Han T. Effect of substituent position on aggregation-induced emission, customized self-assembly, and amine detection of donor-acceptor isomers: Implication for meat spoilage monitoring. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2018, 205, 1–11..

    Not in our library10.1016/j.saa.2018.07.021

  552. 552.

    Han J.; Li Y.; Yuan J.; Li Z.; Zhao R.; Han T.; Han T. To direct the self-assembly of AIEgens by three-gear switch: Morphology study, amine sensing and assessment of meat spoilage. Sens. Actuators B Chem. 2018, 258, 373–380..

    Not in our library10.1016/j.snb.2017.11.127

  553. 553.

    Jiang Y.; Zhong Z.; Ou W.; Shi H.; Alam P.; Tang B. Z.; Qin J.; Tang Y. Semi-quantitative evaluation of seafood spoilage using filter-paper strips loaded with an aggregation-induced emission luminogen. Food Chem. 2020, 327, 127056.

    Not in our library10.1016/j.foodchem.2020.127056

  554. 554.

    He T.; Wang H.; Chen Z.; Liu S.; Li J.; Li S. Natural Quercetin AIEgen Composite Film with Antibacterial and Antioxidant Properties for in Situ Sensing of Al3+ Residues in Food, Detecting Food Spoilage, and Extending Food Storage Times. ACS Appl. Bio Mater. 2018, 1 (3), 636–642..

    Not in our library10.1021/acsabm.8b00128

  555. 555.

    Xu L.; Ni L.; Sun L.; Zeng F.; Wu S. A fluorescent probe based on aggregation-induced emission for hydrogen sulfide-specific assaying in food and biological systems. Analyst 2019, 144 (22), 6570–6577..

    Not in our library10.1039/c9an01582e

  556. 556.

    Rahaman S. A.; Mondal D. K.; Bandyopadhyay S. Formation of disulphide linkages restricts intramolecular motions of a fluorophore: detection of molecular oxygen in food packaging. Chem. Commun. 2019, 55 (21), 3132–3135..

    Not in our library10.1039/c8cc10035g

  557. 557.

    Xia X.; Wang H.; Yang H.; Deng S.; Deng R.; Dong Y.; He Q. Dual-Terminal Stemmed Aptamer Beacon for Label-Free Detection of Aflatoxin B1 in Broad Bean Paste and Peanut Oil via Aggregation-Induced Emission. J. Agric. Food Chem. 2018, 66 (46), 12431–12438..

    Not in our library10.1021/acs.jafc.8b05217

  558. 558.

    Chen J.; Chen X.; Huang Q.; Li W.; Yu Q.; Zhu L.; Zhu T.; Liu S.; Chi Z. Amphiphilic Polymer-Mediated Aggregation-Induced Emission Nanoparticles for Highly Sensitive Organophosphorus Pesticide Biosensing. ACS Appl. Mater. Interfaces 2019, 11 (36), 32689–32696..

    Not in our library10.1021/acsami.9b10237

  559. 559.

    Chang J.; Li H.; Hou T.; Li F. Paper-based fluorescent sensor for rapid naked-eye detection of acetylcholinesterase activity and organophosphorus pesticides with high sensitivity and selectivity. Biosens. Bioelectron. 2016, 86, 971–977..

    Not in our library10.1016/j.bios.2016.07.022

  560. 560.

    Jiao Z.; Guo Z.; Huang X.; Yang J.; Huang J.; Liu Y.; Liu G.; Zhang P.; Song C.; Tang B. Z. 3D-Printed, Portable, Fluorescent-Sensing Platform for Smartphone-Capable Detection of Organophosphorus Residue Using Reaction-Based Aggregation Induced Emission Luminogens. ACS Sensors 2021, 6 (8), 2845–2850..

    Not in our library10.1021/acssensors.1c01178

  561. 561.

    Liu D.; Wang Y.; Li X.; Li M.; Wu Q.; Song Y.; Zhu Z.; Yang C. Integrated microfluidic devices for in vitro diagnostics at point of care. Aggregate 2022, 3 (5), e184.

    Not in our library10.1002/agt2.184

  562. 562.

    Wong F. Drug Insight: the role of albumin in the management of chronic liver disease. Nature Clinical Practice Gastroenterology & Hepatology 2007, 4 (1), 43–51..

    Not in our library10.1038/ncpgasthep0680

  563. 563.

    Luo Z.; Lv T.; Zhu K.; Li Y.; Wang L.; Gooding J. J.; Liu G.; Liu B. Paper-Based Ratiometric Fluorescence Analytical Devices towards Point-of-Care Testing of Human Serum Albumin. Angew. Chem., Int. Ed. 2020, 59 (8), 3131–3136..

    Not in our library10.1002/anie.201915046

  564. 564.

    Kalantar-Zadeh K.; Jafar T. H.; Nitsch D.; Neuen B. L.; Perkovic V. Chronic kidney disease. Lancet 2021, 398 (10302), 786–802..

    Not in our library10.1016/s0140-6736(21)00519-5

  565. 565.

    Guan S.; Fu Q.; Wang D.; Han Y.; Cao N.; Zhang M.; Shen H.; Yang R.; He B.; Tao M.; Hu F.; Jiang X.; Zheng L.; Situ B. Point-of-Care Urinalysis with One Drop of Sample Using an Aggregation-Induced Emission Luminogen under the Coffee-Ring Effect. ACS Sensors 2022, 7 (11), 3481–3490..

    Not in our library10.1021/acssensors.2c01824

  566. 566.

    Pham A. T. T.; Tohl D.; Wallace A.; Hu Q.; Li J.; Reynolds K. J.; Tang Y. Developing a fluorescent sensing based portable medical open-platform - a case study for albuminuria measurement in chronic kidney disease screening and monitoring. Sensing and Bio-Sensing Research 2022, 37, 100504.

    Not in our library10.1016/j.sbsr.2022.100504

  567. 567.

    Akraa S.; Pham Tran Tam A.; Shen H.; Tang Y.; Tang B. Z.; Li J.; Walker S. A smartphone-based point-of-care quantitative urinalysis device for chronic kidney disease patients. Journal of Network and Computer Applications 2018, 115, 59–69..

    Not in our library10.1016/j.jnca.2018.04.012

  568. 568.

    Tohl D.; Teferra M. N.; Wallace A.; Pham A. T. T.; Tang Y. Re-Referencing and Calibration for Robust Ratiometric Light Intensity Measurement. IEEE Transactions on Instrumentation and Measurement 2022, 71, 1–8..

    Not in our library10.1109/tim.2022.3194929

  569. 569.

    Wei Z.; Gu Z.-Y.; Arvapally R. K.; Chen Y.-P.; McDougald R. N. Jr; Ivy J. F.; Yakovenko A. A.; Feng D.; Omary M. A.; Zhou H.-C. Rigidifying Fluorescent Linkers by Metal-Organic Framework Formation for Fluorescence Blue Shift and Quantum Yield Enhancement. J. Am. Chem. Soc. 2014, 136 (23), 8269–8276..

    Not in our library10.1021/ja5006866

  570. 570.

    Zhang J.; Li Y.; Chai F.; Li Q.; Wang D.; Liu L.; Tang B. Z.; Jiang X. Ultrasensitive point-of-care biochemical sensor based on metal-AIEgen frameworks. Sci. Adv. 2022, 8 (30), eabo1874.

    Not in our library10.1126/sciadv.abo1874

  571. 571.

    Chen S.-S.; Wang H.; Wu B.; Li Q.; Gong J.; Zhao Y.-L.; Zhao Y.; Xiao X.; Lam J. W. Y.; Zhao Z.; Luo X.-D.; Tang B. Z. Natural Coumarin Isomers with Dramatically Different AIE Properties: Mechanism and Application. ACS Cent. Sc. 2023, 9 (5), 883.

    Not in our library10.1021/acscentsci.3c00012

  572. 572.

    Wang P.; Liu C.; Tang W.; Ren S.; Chen Z.; Guo Y.; Rostamian R.; Zhao S.; Li J.; Liu S.; Li S. Molecular Glue Strategy: Large-Scale Conversion of Clustering-Induced Emission Luminogen to Carbon Dots. ACS Appl. Mater. Interfaces 2019, 11 (21), 19301–19307..

    Not in our library10.1021/acsami.8b22605

  573. 573.

    Ge M.; Han Y.; Ni J.; Li Y.; Han S.; Li S.; Yu H.; Zhang C.; Liu S.; Li J.; Chen Z. Seeking brightness from nature: Sustainable carbon dots-based AIEgens with tunable emission wavelength from natural rosin. Chemical Engineering Journal 2021, 413, 127457.

    Not in our library10.1016/j.cej.2020.127457

  574. 574.

    Dou X.; Zhou Q.; Chen X.; Tan Y.; He X.; Lu P.; Sui K.; Tang B. Z.; Zhang Y.; Yuan W. Z. Clustering-Triggered Emission and Persistent Room Temperature Phosphorescence of Sodium Alginate. Biomacromolecules 2018, 19 (6), 2014–2022..

    Not in our library10.1021/acs.biomac.8b00123

  575. 575.

    Gong Y.; Tan Y.; Mei J.; Zhang Y.; Yuan W.; Zhang Y.; Sun J.; Tang B. Z. Room temperature phosphorescence from natural products: Crystallization matters. Science China Chemistry 2013, 56 (9), 1178–1182..

    Not in our library10.1007/s11426-013-4923-8

  576. 576.

    Tang S.; Yang T.; Zhao Z.; Zhu T.; Zhang Q.; Hou W.; Yuan W. Z. Nonconventional luminophores: characteristics, advancements and perspectives. Chem. Soc. Rev. 2021, 50 (22), 12616–12655..

    Not in our library10.1039/d0cs01087a

  577. 577.

    Zhang H. K.; Zhao Z.; McGonigal P. R.; Ye R. Q.; Liu S. J.; Lam J. W. Y.; Kwok R. T. K.; Yuan W. Z.; Xie J. P.; Rogach A. L.; Tang B. Z. Clusterization-triggered emission: Uncommon luminescence from common materials. Mater. Today 2020, 32, 275–292..

    Not in our library10.1016/j.mattod.2019.08.010

  578. 578.

    Duval R.; Duplais C. Fluorescent natural products as probes and tracers in biology. Natural Product Reports 2017, 34 (2), 161–193..

    Not in our library10.1039/c6np00111d

  579. 579.
  580. 580.

    Long R.; Tang C.; Xu J.; Li T.; Tong C.; Guo Y.; Shi S.; Wang D. Novel natural myricetin with AIE and ESIPT characteristics for selective detection and imaging of superoxide anions in vitro and in vivo. Chem. Commun. 2019, 55 (73), 10912–10915..

    Not in our library10.1039/c9cc05212g

  581. 581.

    Wan K.; Zhai Y.; Liu S.; Li J.; Li S.; Strehmel B.; Chen Z.; James T. D. Sustainable Afterglow Room-Temperature Phosphorescence Emission Materials Generated Using Natural Phenolics. Angew. Chem., Int. Ed. 2022, 61 (31), e202202760.

    Not in our library10.1002/anie.202202760

  582. 582.

    Wan K.; Tian B.; Zhai Y.; Liu Y.; Wang H.; Liu S.; Li S.; Ye W.; An Z.; Li C.; Li J.; James T. D.; Chen Z. Structural materials with afterglow room temperature phosphorescence activated by lignin oxidation. Nat. Commun. 2022, 13 (1), 5508.

    Not in our library10.1038/s41467-022-33273-1

  583. 583.

    Yang M.; Li H.; Shen J.; Li S.; Liu S.; Li J.; Chen Z.; Li M.; James T. D. Repurposing lignin to generate functional afterglow paper. Cell Reports Physical Science 2022, 3 (5), 100867.

    Not in our library10.1016/j.xcrp.2022.100867

  584. 584.

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