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A Review of Methods to Determine Viability, Vitality, and Metabolic Rates in Microbiology
Olivier Braissant, Monika Astasov-Frauenhoffer, Tuomas Waltimo and 1 more
Frontiers in Microbiology · 2020 · Review · CC BY
Abstract
Viability and metabolic assays are commonly used as proxies to assess the overall metabolism of microorganisms. The variety of these assays combined with little information provided by some assay kits or online protocols often leads to mistakes or poor interpretation of the results. In addition, the use of some of these assays is restricted to simple systems (mostly pure cultures), and care must be taken in their application to environmental samples. In this review, the necessary data are compiled to understand the reactions or measurements performed in many of the assays commonly used in various aspects of microbiology. Also, their relationships to each other, as metabolism links many of these assays, resulting in correlations between measured values and parameters, are discussed. Finally, the limitations of these assays are discussed.
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From PubMed Central, U.S. National Library of Medicine, as current on Oct 24, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
Metabolism can be defined as the sum of all reactions in a living organism aimed at maintenance, development, and reproduction (division for microbes). Consequently, measuring all reactions that contribute to metabolism in microbial cells is impossible with current tools even if metabolomics using NMR and mass spectrometry (MS) can provide very valuable snapshots of the metabolites present. In addition, very few methods allow dynamic measurement of metabolism. Therefore, for many purposes ranging from environmental sciences to medical microbiology, microbial metabolism is usually assessed by using proxies that focus on different aspects of the process. Among these so-called metabolic assays, some are nonspecific proxies focusing on various types of metabolism [such as tetrazolium reduction, fluorescein diacetate (FDA) hydrolysis, or calorimetry], while some assays are more focused on and limited to specific types of metabolism. Indeed, one can assess metabolism using electron acceptor consumption (O2, NO3–, SO42–, and others) or the production of their reduced form (NO2– and H2S, for example). Similarly, the consumption of carbon sources and production of by-products (CO2, fermentation products, and others) are also valuable tools. As these assays all focus on metabolism, there are correlations between some of them, making comparison or validation possible.
Metabolic assays have been used for a wide variety of applications. For example, in ecological studies, such assays can be used to evaluate the number of active bacteria in a sample (microbial mat, food sample, or other). However, in pharmacological and biotechnological applications, these assays are less often focused on metabolic rates and are mostly used to assess viability to compare the effects of different products on microbial cultures. Similarly, yield and other important information can be gathered from some of these assays or their combinations.
Nevertheless, depending on the intended application parameters, such as volume and sensitivity, the necessary equipment can be a significant factor in the choice of a metabolic assay. For example, metabolic assays with pure cultures can have very different requirements from those with environmental or food samples. Indeed, many of these assays have been devised for pure cultures and are applicable only to such cultures. Many have been modified for applicability to environmental studies, but the resulting limitations are often neglected. In addition, the cost and practicality can also vary a lot, thus influencing potential application. Therefore, it is important to take these parameters into account and review the different assays.
Confusion Between Amount and Activity: A Brief Warning
Using all the techniques described below, it is crucial to discriminate between activities (i.e., rates) and amounts (values measured at defined time points). In many studies, this difference is neglected, which results in directly linking growth to metabolic activity. Many studies have measured metabolic activity using growth (often measured by a net increase in cell number) as a proxy. Although such approximation can be understood as high metabolic activity is required for growth, it has major flaws. For example, in batch liquid culture, when entering the stationary phase, the cell number still increases while the metabolic activity is often already decreasing. In this context, it is often worth coupling both measures and determining the activity per cell over the course of the culture. Ultimately, at the end of the experiment, usually at the late stationary phase, there is a very large number of cells, but the overall metabolic activity is very low. On the other extreme of the spectrum, it was recently shown that even with no net biomass increase, biofilm could have a very high metabolic activity as measured by calorimetry. This is also true at the community level; for example, in microbial mats, low “apparent” growth rates are observed; however, these microbial structures have been shown to have productivity and turnover equivalent to rain forest. Currently, to assess metabolic activity, it is crucial to measure rates with a sufficient time resolution to allow determination of changes in the rates. It is also crucial that authors pay attention to their use of the terms “metabolism” and “metabolic activity” in their reports and provide a proper explanation of whether rates or amounts (as proxies) are being considered. Overall, the take-home message from this section is that metabolism always implies a rate, and the measure of a proxy in the form of a concentration is still a proxy for a rate.
Tetrazolium Salts
Tetrazolium salts represent a large family of compounds (Table 1) that can be used to measure redox activity in metabolically active cells. In particular, tetrazolium reduction is associated with a functional and active electron transport system (ETS). Colorless tetrazolium salts pass the outer membrane of most tested bacterial cells readily and are then reduced to different red to violet formazan derivatives by reduced nicotinamide adenine dinucleotides (NADH) or their phosphorylated derivative (NADPH)-dependent oxidoreductases and dehydrogenases of metabolically active cells (Figure 1). There are very few data on the ability of archaea to reduce tetrazolium salts, still some pure cultures of Haloferax volcanii, Haloarcula marismortui, and Halobacterium sodomense have been shown to perform such reduction. However, it must be noted that tetrazolium might not be able to penetrate a large fraction of fungal and other eukaryotic microbes to reach the mitochondria and thus the active ETS or other enzymes able to reduce it. Usually, it is considered that sites where reactions occur along metabolic pathways are, in most cases, well-known and that as a consequence of their connection with the ETS, the reactions are correlated with the respiration rate even under anaerobic conditions. Some of the resulting formazan derivatives are soluble, while others are not. Insoluble formazan compounds formed inside the cells can be extracted with organic solvents (methanol, ethanol, acetone, or other appropriate organic solvent mixtures) to get a quantitative assessment of the amount produced. Several parameters have been considered in optimizing the assay. Among them, final concentration of tetrazolium salts (enzyme saturation vs. dye toxicity), incubation time, added substrates (if any), pH of the assay, and storage conditions of the sample are important. Also, it is important to assess the presence of abiotic reductant, which can trigger abiotic formation of formazan without active biological activity. Several studies have pointed out that flavonoid, plant extract, or another reducing agent might lead to a significant reduction of tetrazolium dyes even in formaldehyde-fixed samples. For this, it is recommended to perform a blank measurement on using a sample fixed by adding formaldehyde to a final concentration of 1.5%. Note that a final concentration of formaldehyde up to 4.0% can be used. Similarly, the presence of superoxide might also affect the results.
Tetrazolium reduction is considered to be proportional not only to the number of cells present but also to their metabolic activity. Indeed, inactive cells (even in large numbers) will have minimal (if any) reduction activity. This can be used to determine the respective proportion of active and inactive cells in various samples by comparison to microscopy count, for example. Similarly, studies have shown that the production of formazan per cell increases following an increase in growth rate. On the contrary, at a later stage of batch culture (late stationary phase), where most cells are not growing anymore, staining of such cells by tetrazolium was poor. Also, it must be noted that different tetrazolium salts might be reduced differently, making comparisons between studies difficult. This adds to the complexity and needs to be clarified when using, comparing, or reviewing tetrazolium studies data.
In addition, there are other limitations to the use of tetrazolium-based dyes that must be taken into account, especially for environmental studies. Several tetrazolium salts [especially 5-cyano-2,3-di-(p-tolyl)tetrazolium chloride (CTC), but also iodonitrotetrazolium chloride (INT) and 2,3- bis(2-methoxy-4-nitro-5-sulfophenyl)-2h-tetrazolium-5-carboxanilide inner salt (XTT); Table 1] have been shown to be toxic to some bacteria. Similarly, some viable and culturable bacteria may not incorporate formazan derived from CTC or INT, even after long incubation times, thus emphasizing that some bacterial strains lack the ability to reduce tetrazolium to formazan. In environmental studies, it was shown that in some samples, unlabeled (unstained) bacteria could still be responsible for a large fraction of the metabolic activity observed. Therefore, in order to improve the results, the staining kinetics and tetrazolium concentration must be optimized for different environments and cell types. Also, this implies that tetrazolium reduction for the estimation of environmental sample microbial activity is indicative of the most active microbial populations, whereas the contribution of fungal and other eukaryotic microbes to the measurement of dehydrogenase activity is extremely limited.
Finally, depending on the studies considered, reduction of tetrazolium dyes is reported either as rates of reduction (i.e., moles of formazan produced per unit of time, and eventually per mass or volume of sample) or as amount of formazan released [i.e., optical density (OD) or moles of formazan]. Again, it is important to compare rates with other matching rates, for example, formazan production rates with oxygen consumption rates (see example in; ). Similarly, amounts such as cell number (plate or microscopy count) should be compared to the amount of formazan produced (see example in ).
Using Tetrazolium Derivatives to Assess NAD+, NADH, NADP+, and NADPH
Nicotinamide adenine dinucleotides (NAD+/NADH) and their phosphorylated derivatives (NADP+/NADPH) are important redox-active molecules used in many catabolic and anabolic reactions. Ratios of NAD+ to NADH and NADP+ to NADPH are therefore considered key indicators of the overall intracellular redox potential and metabolic state. Because tetrazolium salts are often used to assess the activity of NADH or NADPH utilizing enzymes (Figure 1), it is also possible to assess the amount of NAD+, NADH, NADP+, and NADPH using the redox nature of tetrazolium salts coupled with an appropriate enzymatic system (substrate and enzyme) and electron mediator (redox intermediate) (Figure 2). The assay is usually performed on tissue or microbial pellet extracts.
For NADP+ and NADPH, the assays rely on the conversion of glucose-6-phosphate (G6-P) to 6-phosphogluconolactone by glucose-6-phosphate dehydrogenase (G6PD; EC: 1.1.1.49), where the simultaneous reduction of NADP+ to NADPH is coupled to the reduction of a tetrazolium salt [often thiazolyl blue tetrazolium bromide (MTT) or tetrazolium-based dye (WST); Table 1] through a redox intermediate [phenazine ethosulfate (PES)] (Figure 2). Similarly, for the determination of NAD+ and NADH, the assays use ethanol dehydrogenase (ADH; EC: 1.1.1.1), which catalyzes the conversion of ethanol to acetaldehyde. In this reaction, the reduction of NAD+ to NADH is also linked to the reduction of a tetrazolium salt to its formazan derivative through PES (Figure 2).
Oxidized (NAD+, NADP+) and reduced (NADH, NADPH) forms can be assessed separately, as the oxidized forms are easily destroyed by heating at 60°C for 30 min. Alternatively, alkaline (NaOH 0.2 M) or acidic (HCl 0.2 M) treatment in combination with milder heating (55°C for 10 min) allows selection of the forms that will be assayed. However, proper neutralization of the added acid or base needs to be performed.
The assay is convenient and easy to perform (especially when using a commercial kit). However, due to the reactivity of the NAD+ and NADP+ extracts, it is recommended to store them at −80°C after extraction for a maximum of 1 week, or they can be stored on ice for 1 h. Similarly, for complex (food or environmental) samples, attention must be paid to the presence of inhibitory compounds that might alter the results of the enzymatic assay. Furthermore, the complete buffer should be prepared fresh for each measurement. However, commercial assays have procedures that simplify the preparation steps and make the assay very reproducible under ideal conditions (see assay leaflet from producer’s website). Still comparing samples spiked with NAD+, NADP+, NADH, or NADPH with unspiked samples might allow determining whether a commercial kit is usable under specific conditions, in particular for complex samples.
Resazurin (alamarBlueTM)
Resazurin (7-hydroxy-3H-phenoxazin-3-one 10-oxide) has been used in the composition of many media for anaerobes because of its blue-violet color to indicate the presence of oxygen, which transitions to colorless when no dissolved oxygen is available. Resazurin is also used for metabolic and viability assays. Similar to tetrazolium salts, the dye is reduced by NAD(P)H-dependent oxidoreductases and dehydrogenases (Figure 3). Due to the chromogenic and fluorogenic properties of its oxidized form (resazurin) and reduced form (resorufin: 7-hydroxy-3H-phenoxazin-3-one), resazurin can be used for both types of assay. Assays can be performed colorimetrically, as the resazurin changes from blue to violet (molar absorption coefficient of resorufin = 54,000–58,500 cm–1⋅M–1). Similarly, resazurin is only weakly fluorescent as its irreversible reduction to resorufin makes it highly fluorescent, thus allowing very sensitive detection with a fluorometer. For this purpose, resazurin has been sold in assay kits under different trademarks, such as alamarBlue, PrestoBlue, and UptiBlue, among others. However, it must be noted that such commercial kits are only tested on standard microorganisms (such as Escherichia coli, Bacillus subtilis, Staphylococcus aureus, Candida albicans) and standard mammalian cell lines. Therefore, their application to the study of nonstandard microorganisms and environmental samples must be validated/calibrated by the experimenters before use (see examples below).
For environmental conditions and with pure culture, resazurin reduction has been shown to be highly correlated to oxygen consumption. Indeed, resazurin assays work best for aerobic or microaerophilic microorganisms. For example, Clostridium butyricum (a strict anaerobe) does not reduce resazurin like other strictly anaerobic Clostridium are reported to reduce tetrazolium salts, maybe through other processes. Furthermore, we can safely assume that resazurin is not likely to be reduced by anaerobes (or during anaerobic respiration, such as sulfate or nitrate reduction), as it is used in media as an oxygen redox indicator. This makes the application of resazurin for assays a bit more limited compared to tetrazolium salts. Still, when looking at an aerobic (or microaerobic) setup, resazurin is a very sensitive assay, especially when used with fluorometry. Another limitation to the use of resazurin is its toxicity toward certain cells. Indeed, the toxicity is likely to be low for most microbes as the concentration of resazurin in the assay (0.4–4 mM) is lower than the concentrations at which inhibition is observed for some bacteria. Still, some studies have mentioned its toxicity toward bacteria present in raw milk, pathogens, and human cell lines, especially tumor cell lines. Finally, the presence of nanomaterials has been shown to influence resazurin reduction and its fluorescence, and much care has to be taken in the presence of such materials.
Adenosine Triphosphate Assays
Adenosine triphosphate (ATP) is a crucial molecule in microorganisms because of its role as a universal energy currency. However, it must be noted that ATP on its own can only reveal a tiny fraction of the energetic state of a cell or a system as other adenylates [adenosine diphosphate (ADP) and adenosine monophosphate (AMP)] have to be accounted for (see below). When considering only ATP, the general assumption is that microorganisms generate ATP through catabolic reactions and subsequently use it for “housekeeping,” growth, and replication. As a result, ATP is believed to indicate the presence of viable microorganisms in samples. Alternatively, as the intracellular concentration of ATP per cell has been shown to vary with changing environmental and physiological conditions, it can be used as a proxy to indicate the metabolic activity of cells. Indeed, in cells losing viability, the ability to synthetize ATP is lost and many biochemical reactions including the action of ATPases rapidly deplete any remaining ATP from the cytoplasm. In growing (viable) E. coli and Salmonella typhimurium, the intracellular concentration of ATP varies from 1 to 5 mM. For a wider range of bacteria, values are between 0.1 and 26 fg ATP⋅CFU–1; however, the average is usually around 1 fg ATP⋅CFU–1. The values can be converted to mM by assuming a cytoplasm volume1 of 0.67 μm3; however, one has to note that cell volume varies a lot between microbial species and within the same species with varying growth conditions. The values for Bacillus species spores are much lower, ranging from 0.01 to 0.0002 fg ATP⋅CFU–1; however, in Bacillus spores, rather high levels of 3-phosphoglyceric acid (3PGA), a potential rapid source of ATP, are found. Finally, for the yeast C. albicans, it is much higher, 213 fg ATP⋅CFU–1. Of note, recent progress in single-cell imaging has shown that within the same culture, there was a fair amount of variation (from less than 0.5 to 14 mM) in the distribution of ATP concentration within individual cells. Furthermore, the release of extracellular ATP has to be taken into account when assessing metabolism or viability, as a large percentage of the ATP in a culture can be extracellular, especially in the exponential growth phase or when exposed to disinfectants such as chlorine. Therefore, ATP values have to be taken with care, especially as their use is still debated for some applications. Indeed, the interpretation of ATP measurements, especially with respect to viability and activity, can be improved if the other adenylates (ADP and AMP) are taken into account (or other parameters such as biomass or cell count). The concept of adenylate energy charge (AEC) was introduced by to reflect the fact that metabolic processes are sensitive to levels of individual adenine nucleotides or their relative proportions. AEC is defined as [(ATP) + 0.5 (ADP)]/[(ATP) + (ADP) + (AMP)]. However, in some studies, it is simplified as (ATP)/[(ATP) + (ADP)]; thus, it is worth checking which one is used for comparison purposes. Still, it is often considered that the ratio of ATP, ADP, and AMP is functionally more relevant than the absolute concentration of ATP alone. With respect to the value of AEC, it is generally considered that metabolically active and/or growing cells have AEC values between 0.70 and 0.95. Similarly, cells remain viable with AEC values of 0.5–0.8. Finally, in stress conditions, AEC falls below 0.5, and values below 0.5 are usually considered to be incompatible with maintaining the minimal level of homeostasis required for viability. Still, Bacillus endospores can have an AEC value of 0.08, for example. AEC has been subjected to intense discussions and is considered as “misleadingly simplistic.” Still, many authors agree that it can be a valuable approach to assess the broad homeostatic feature of ATP-utilizing and ATP-replenishing reactions.
Measurement of ATP can be performed using two types of commercial enzymatic assays. The first ones rely on the use of luciferase (firefly luciferase EC 1.13.12.7 or other luciferase) to oxidize luciferin into oxyluciferin with concomitant use of ATP and production of AMP. The overall reaction (Figure 4) releases light that can be measured by a luminometer. Many assay kit reagents contain a detergent to allow cell lysis and recovery of intracellular ATP, as well as ATPase inhibitors to avoid loss of ATP during the processing. Still, for very “dirty” or some environmental samples, care has to be taken that impurities do not contain other compounds that might also affect the level of ATP extracted and/or measured (see below as well). This assay is by far the most popular ATP assay used. At the end of this assay, remaining adenylates (ADP and AMP) can be quantified by converting them enzymatically into ATP using pyruvate kinase (EC 2.7.1.40 for ADP) or pyruvate kinase and adenylate kinase (also called myokinase; EC 2.7.4.3 for AMP) and performing an additional luminescence measurement. The values can be used to calculate AEC (see above). Commercial kits are available for determination of ATP only or sequential determination of all three adenylates.
Colorimetric alternatives are also available. Among the alternatives, glycerol phosphorylation reaction can be used to assess the amount of ATP present. Glycerol added in excess is phosphorylated by glycerol kinase (EC: 2.7.1.30) to produce glycerol-3-phosphate and ADP. The glycerol-3-phosphate is then further oxidized by glycerol phosphate oxidase (EC: 1.1.3.21), producing dihydroxyacetone phosphate (glycerone phosphate) and hydrogen peroxide (H2O2). Finally, a peroxidase (EC: 1.11.1.7) catalyzes the redox-coupled reaction of H2O2 with 4-aminoantipyrine (4-AAP) and N-ethyl-N-(3-sulfopropyl)-m-anisidine (ESPA), leading to the formation of a purple dye that is measured at 540 or 570 nm (Figure 5). Again, correct extraction of ATP and use of detergent are important to recover ATP.
The advantage of the ATP assay is that you do not have to rely on an incubation step with a population of viable cells to convert a substrate (such as tetrazolium, resazurin, or FDA) into a colored compound. In addition, for some applications (mostly with cultures), there is also no need to remove cell culture medium or wash cells before adding the reagent, which can be fully automated for high throughput. Still, serial measurements are needed to assess the flow of intracellular and extracellular ATP and get a complete image of metabolic processes over time. If sample processing needs to be performed at a later stage (i.e., after all samples have been collected), it is recommended to snap-freeze the samples in liquid nitrogen or on dry ice. For this assay, ATP extraction remains a crucial step and different extraction methods were tested on microbial culture samples, showing strong variation in ATP recovery. Still, a comparison between commercial luciferase-based ATP assays and 31P NMR ATP determination (which does not require an extraction step) on blood cells did not show significant differences. For environmental samples, however, the determination of ATP is more difficult due to the poor recovery rate of some extraction methods and potential hydrolysis or other chemical interactions. In addition, early studies on marine samples using charcoal columns found that it is likely that part of the ATP is hydrolyzed during extraction and recovery. It is also mentioned that filtration-induced metabolic stress might lead to a decrease in ATP (however, total adenylate content remains stable). The exact process leading to ATP hydrolysis remains unclear; still, much care has to be taken when analyzing environmental samples and drawing conclusions about activity (or biomass). Also, for all types of samples, the pH must be controlled with care, as it has been shown to affect the results.
Fluorescein Diacetate and Derivative Compounds Hydrolysis
Fluorescein diacetate (3′,6′-diacetyl-fluorescein) hydrolysis is considered to be a simple and affordable method of estimating microbial activity in various samples, including soils, sludges, marine sediments, and cell cultures. In this assay, FDA, which is colorless, is hydrolyzed by nonspecific esterases, proteases, and lipases into green-colored fluorescein (Figure 6). The enzyme performing such hydrolysis can be free or membrane-bound. As with tetrazolium, there are several FDA-based compounds, such as 5(6)-carboxyfluorescein diacetate (carboxy-FDA) and 2′,7′-dichlorofluorescein diacetate (chloromethyl-FDA), leading to the formation of different hydrolyzed products, in this case, 5-carboxyfluorescein (carboxyfluorescein) and 2′,7′-dichlorofluorescein (chloromethyl-fluorescein). However, unlike tetrazolium salt or resazurin reduction, FDA hydrolysis is not expected to be directly linked to O2 consumption, although many studies have shown that the two are often correlated. Still, the assay can be widely used in many setups as FDA hydrolysis capacity is widespread. Intracellular hydrolysis of FDA results in the accumulation of fluorescein (which is unable to pass cell membranes) in metabolically active cells. As a consequence, FDA hydrolysis has often been used in combination with ethidium bromide or propidium iodide penetration in damaged cells and binding to DNA in microscopic assays of viability (see review in ). Such microscopic assays are often referred to as LIVE/DEAD staining, although LIVE/DEAD is a trademark of Invitrogen, Thermo Fisher Scientific. LIVE/DEAD staining has been benchmarked only for proteobacterial pathogen (mostly E. coli) and has been reported to be prone to artifacts, including incomplete stain penetration or false staining of live cells as dead in many cases. Similarly, FDA hydrolysis and its accumulation in active cells is often used in combination with fluorescence-activated cell sorting (FACS) or fluorescence microscopy to assess the number of stained cells and their relative fluorescence. FACS and LIVE/DEAD assays will not be further discussed here, and focus will remain on bulk assays.
To measure metabolic rates in environmental samples or, more rarely, in cultures, FDA hydrolysis is initiated by adding the FDA in a buffer (usually 60 mM phosphate buffer) to the sample. After a determined incubation period, the reaction is stopped using rather large amounts of organic solvents [chloroform:methanol (2:1) or acetone]. In many environmental samples, the solvent mixture also serves as a fluorescein extractant by dissolving membranes. In cell cultures, the same methodology can be applied, or Triton X-100 can be used to permeabilize yeast cells, for example. After extraction, the fluorescein amount is quantified by measuring either fluorescence or absorbance. Although FDA and its derivatives are mostly used for viability assays, their use as proxies to measure microbial metabolism remains very interesting, as the molar absorption coefficient of fluorescein dye (E490 nm) lies between 67,000 and 79,000 cm–1⋅M–1. Such a high absorption coefficient compared to formazan (see above and Table 1) and its lower toxicity make it interesting for environmental studies. In addition, fluorometric detection is even more sensitive and can be used as well. However, the good detection of fluorescein is slightly compensated for by the lower water solubility of FDA. Indeed, many protocols recommend diluting FDA in an organic solvent such as acetone, chloroform, dimethyl sulfoxide (DMSO), ethanol, or methanol where the solubility is about 25 mg/ml.
Electron Acceptor Consumption Rate
Electron acceptors are key players in microbial metabolism, providing energy for many other processes. Indeed, many microorganisms obtain their energy from redox reactions. Among these redox reactions, aerobic respiration, anaerobic respiration, and oxidation of reduced inorganic compounds rely on redox couples such as O2/H2O, NO3–/NO2– and Fe3+/Fe2+, for example. The consumption rate of the electron acceptor or the production rate of its reduced form is therefore a very good proxy to follow or estimate microbial metabolism. As a result, many assays and techniques have been used for this purpose. Again, many of these assays were intended for use with pure culture, and their use for environmental samples should be carefully evaluated, as there could be many limitations or artifacts. The next sections will provide insights on some of the commonly used assays; however, such a list cannot be considered as exhaustive. In particular, note that the focus is put on terminal electron acceptors and that NAD(P)+/NAD(P)H have been discussed previously in the text.
Oxygen
Oxygen is among the most used proxies to assess the metabolic activity of various organisms. This is also true for microorganisms and microbial oxygen consumption rates, and their measurement could be the topic of a review by itself. As a result, many methods have been developed to assess oxygen consumption by heterotrophs or production by photosynthetic microbes (see review in ). Indeed, oxygen concentration can be measured in solution using electrodes (electrochemical sensors), optodes (optical-based sensors), or chemical assays such as the Winkler titration or directly in the headspace of sealed vials using laser spectrometry.
With respect to dissolved oxygen, the Winkler titration was considered to be the most accurate method for a long time; however, the method is demanding and rather time-consuming, as the reaction of dissolved oxygen with manganese is rather slow and can take up to 30 min. Therefore, the Winkler titration is difficult to apply serially to assess the rapid consumption of oxygen. As a result, optical and electrochemical sensors have been preferred in many cases, especially as some systems have been introduced as 96-well plates. Nowadays, both optical- and electrochemical-based sensors have very good performance and can sense dissolved oxygen in an aqueous system easily and accurately, usually with an error below 1%. In addition, both types of electrodes can be built as macro or micro types of sensors. Still, it is worth reviewing the minor differences between these types of sensors. Clark-type electrodes have been shown to require frequent calibration, to consume some oxygen, and to be sensitive to environmental factors (especially salinity, flow, temperature, and pressure). On the other hand, oxygen optodes do not consume oxygen and the signal is minimally affected by flow velocity and other environmental factors, except temperature. However, in many commercial optodes, the temperature dependence is automatically corrected by an attached thermistor2. In the end, the most important difference between optodes and electrode is the possibility to obtain 2D spatially resolved information by building planar optodes, as microelectrodes (including needle optodes) are limited to 1D depth profiles or time series. Finally, a few commercial high-throughput products have been released using optodes (or optode-like technology) and allowing 96- or 384-well-plate format assays. Among them, the BD Oxygen Biosensor System is an oxygen-sensing microplate using silicone and an embedded fluorophore [tris 4,7-diphenyl-1,10-phenanthroline ruthenium (II) chloride] at the bottom of the wells. The instrument has been used successfully to monitor the growth and oxygen uptake rates of mammalian cell cultures and bacterial cultures. A similar system, the Agilent Seahorse XF Analyzer, offers more analytical capacities but is intended for work with adherent cells, and as a result, very little data have been obtained using this system on bacteria. Still, parasite investigations have been performed successfully.
Finally, although the measurement is a bit more indirect compared to dissolved oxygen measurement, oxygen can also be assessed in the headspace of sealed gas-tight vials using laser spectroscopy. Indeed, tunable diode laser absorption spectroscopy (TDLAS) can be used to measure several gases in gas phase. TDLAS measures the absorption of laser light in the near- to mid-infrared wavelength. Detection of gases can be improved using techniques such as wavelength modulation spectroscopy (WMS) or frequency modulation spectroscopy (FMS). It works well for many gases, including oxygen and carbon dioxide. TDLAS readings are fast; however, current instruments have only one measuring channel and samples need to be read over a time series manually. Still, some semiautomated systems are currently available for industrial applications, especially in the pharmaceutical industry. In addition, such instruments are under a constant flow of nitrogen and therefore require a fair amount of that gas. TDLAS has been used in microbiology recently for the detection of bacterial growth in pharmacological samples and clinical samples (such as blood cultures) based on O2 and CO2 concentrations in vials. Furthermore, it is possible to detect bacterial growth linked to cystic fibrosis or the presence of Helicobacter pylori infection directly from exhaled air using other volatile compounds.
Nitrates (No3–) and Nitrites (No2–)
Because the energy yield of nitrate reduction is still rather high compared to other types of anaerobic metabolism, it is a commonly encountered type of metabolism that is also found in pathogenic microbes. As a result, nitrate reduction is often studied in microbiology and assessed in several ways. Although nitrate (NO3–) and nitrite (NO2–) can be measured by high-performance liquid chromatography (HPLC), ion chromatography (IC), or ion-specific electrodes, the Griess reaction remains very popular to assess the potential for nitrate reduction and, if measured serially, denitrification rates. The original Griess reaction assesses the amount of nitrite in the sample in two steps. First, nitrite reacts under acidic conditions with sulfanilic acid, thus producing a diazonium cation. Second, the diazonium cation reacts with 1-naphthylamine to produce a dark red water-soluble azo dye (Figure 7). The Griess reaction is specific for nitrite but can determine nitrate as well if it is properly reduced to nitrite chemically or enzymatically. Such reduction is usually performed by adding zinc powder to the sample solution. However, alternative reduction methods using cadmium, vanadium, silver, or nitrate reductase have been considered as well.
Like many assays, the Griess reaction has been modified, and the original sulfanilic acid and 1-naphthylamine were replaced by sulfanilamide and N-(1-naphthyl)ethylenediamine (NED or NEDA). Most variations of the Griess assay were reviewed in.
Finally, it must be noted that the low cost and simplicity of the Griess reaction have attracted the attention of a wide spectrum of microbiologists ranging from soil scientists to clinical microbiologists.
Sulfate and Sulfide
For sulfate-reducing and sulfide-oxidizing bacteria, sulfates and sulfides can be assessed by using HPLC or IC. In addition to these methods, which are used a lot, there are also simple assays. For sulfate, barium sulfate precipitation is a very simple assay that uses the low solubility of this salt [solubility at 20°C = 2.42⋅10–3 g⋅L–1 − Ksp = 1.0842⋅10–10 (25°C)], which is measured turbidimetrically. As a consequence, the precipitation is often carried out using centrifuged or filtered samples. Moreover, to ensure similar precipitation conditions (and uniform crystal size distribution to improve turbidimetric measurement reproducibility) between samples, a conditioning reagent containing sodium chloride, ethanol, glycerol, and hydrochloric acid is used (its composition varies between authors and between available commercial assay kits). Many authors have reported that the assay is rather long and not appropriate for high-throughput measurement. Still, for slow-growing sulfate-reducing bacteria (SRB), the assay allows serial measurements and determination of the sulfate reduction rate.
In the case of bacteria reducing sulfide to elemental sulfur, sulfides are more practical to measure, as many methods have been developed and can be applied to biological samples (see review in ). In particular, hydrogen sulfide (HS–) ion-sensitive electrodes are very practical and are often used because they are available in macro and micro format. With microelectrodes that are used in situ (or ex situ), measurements are taken directly and possibly on-site. They have been extensively used in sediment, microbial mat, and biofilm studies. However, for macroelectrodes, especially if measurement is delayed until the return to the lab, transportation and potential aeration might bias the results, as sulfides will oxidize rapidly. To prevent such oxidation, commercial sulfide antioxidant buffer (SAOB) or 10 M NaOH can be used. Solutions such as zinc acetate should be avoided, as ion-selective electrodes only measure free sulfides.
On the other hand, sulfide assays relying on the formation of methylene blue have been very popular in microbiology. These assays rely on the reaction of dimethyl-paraphenylene diamine salts with sulfide to form methylene blue under acidic conditions. Absorbance of the methylene blue formed can be measured at 663 nm (E663 nm = 95,000 cm–1⋅M–1; ). To prevent oxidation of the sulfide, the samples can be fixed as ZnS using zinc acetate solution. The ZnS formed is usually stable for 1 month. Upon acidification, ZnS can be redissolved and assessed as described above. Many modifications of the assay have been used over time (see review in; ). However, in microbiology and the study of microbial mats, the modification of Pachmayr in 1960 using dimethyl-paraphenylene diamine sulfate (DPDS) is one of the most commonly used. Although such assay is more work-intensive compared to ion-selective electrode (ISE) readings, the fact that the sample can be fixed and processed at a later time point (up to 1 month) makes it useful in practice, as large batches of samples can be processed at the same time. Furthermore, with respect to environmental studies, the assay is sensitive to metastable forms of iron sulfide deposits [such as amorphous FeS nanoparticles, Mackinawite (FeS), Greigite (Fe3S4), or nanoparticle of pyrite (FeS2)] that might be present on cell surfaces or attached to biofilms/extracellular polymeric substance (EPS) matrix. In human microbiology, the assay has also been adapted for sulfate reduction occurring in the oral cavity responsible for oral malodor.
Metal and Metalloid Ions
Many metal ions can be biologically reduced (and less frequently oxidized), thus releasing sufficient amounts of energy to sustain growth processes. Among those metals, Fe, Mn, V, Cr, Cu, Mo, As, Hg, Se, Au, U, and Tc have been reported to be reduced by microorganisms. Among them, iron, which is the fourth most abundant element in the Earth’s crust, has received special attention, as Fe(II) can function as an electron source and Fe(III) as a terminal electron acceptor under anoxic conditions for iron-reducing microorganisms. In this context, iron redox reactions have the potential to support substantial microbial populations in soil and sedimentary environments. Although ion-selective electrodes have been developed for many of these metals, the commercial versions of these electrodes are limited to a few of the metals (Cu, Hg, Ag, Cd). Therefore, atomic absorption or MS is often used to measure their concentration. As these methods are not always available in a microbiology lab and because some of the samples cannot be stored for a long period, reduction rates are rarely measured with this type of metabolism. Still, nonspecific assays (such as those described above, FDA, or calorimetry; see below) can be useful in such contexts.
Only iron (i.e., Fe2+ and Fe3+) can be assessed easily using assays relying on the reaction of a chromogene with iron II (phenanthroline, bathophenanthroline, ferrozine, and ferrene). Many of these assays are available as commercial kits and often allow the measurement of Fe2+ and total Fe by adding a reducing agent (ascorbic acid or ammonium hydroxide) to convert Fe3+ into Fe2+. Many commercial kits do not provide the composition or the type of assay present in the kit. However, it is possible to decipher them according to the measurement wavelength of the assay (phenothroline and bathophenanthroline: 533–535 nm; ferrozine: 563 nm; ferrene: 593 nm; ). In some assays, this can even be performed serially, making the assays very convenient. Indeed, some commercial kits, such as the HACH test kit (LCK 320), have all the reagents contained in one single assay tube with breakable septa. In other assays, the determination of Fe2+ and total Fe must be performed in parallel. The uses, advantages, and drawbacks of these assays have been reviewed by a geomicrobiologist. Usually, organisms that grow using iron redox reactions are rather slow, and these assays are rapid and practical enough to be performed serially to determine iron oxidation or reduction rates.
Carbon Sources
Carbon sources are the key to microbial metabolism, providing carbon for biosynthetic processes but also for energy metabolism in many cases. Current technologies (such as Biolog EcoPlate) using well-plate readers allow rapid screening of several important carbon sources for their utilization and eventually link such data with metagenomics data obtained separately. However, such an approach does not provide information on metabolic rates. Indeed, the rate of carbon source consumption is directly linked to metabolic activity. In this context, it must be noted that metabolic activity is not always related to growth, as microbes are known to engage in futile cycles for several reasons. Therefore, it is important to avoid making direct links between growth, metabolic activity, and potential carbon source utilization. One has to discriminate clearly between metabolic fingerprinting and metabolism measurement. Still, a screening of the important carbon sources using EcoPlates might allow deciphering which assays must be performed at later stages.
The variety of carbon sources that can be used by microbes is indeed matched by a high number of assays to assess them. Especially, there are many enzymatic assays matching the substrates to be assessed. There are also plenty of chemical assays that are useful for assessing the uses of various carbon sources.
Carbohydrates
Carbohydrates represent a large fraction of carbon sources investigated in clinical or natural environments and added to solid and liquid culture media. As a consequence, many chemical assays have been developed to assess the amount of carbohydrates in such samples. All of these assays rely on the same general principle: carbohydrates (including bound carbohydrate and glycoprotein) are hydrolyzed using a strong acid and heat. The reaction mixture contains a developing reagent (phenols, orcinol, o-toluidine, anthrone, carbazole) that allows the development of a color measurable by spectrophotomeric means. Among these assays, the phenol–sulfuric acid assay from, (Figure 8) and the anthrone assay have been the most popular for years and are used extensively in many labs. Both assays are inexpensive and work well for monosaccharides, polysaccharides, and complex polysaccharides such as EPS. However, the anthrone assay works better for solutions containing a single type of hexose because even sugars with similar structures result in different rates and quantities of color development. With respect to throughput, the original phenol–sulfuric acid assay is difficult to adapt to microplate format (due to the high temperature reached during the assay, incompatible with polystyrene well plates); however, both that assay and the anthrone assay have been modified extensively and optimized for well plates. Often, those modified methods involve some incubation at higher temperature (90°C or above) to speed up the reaction. Many commercial versions of such chemical assays are sold as “carbohydrate assay” or “total carbohydrate assay,” making them readily available. For these assays, samples can be collected serially and frozen. At the end of the experimental measurement, the assay can be performed easily and the well plate format allows rather high throughput. Therefore, carbohydrate consumption rates can be easily determined during an in vitro assay where an excess of one sugar is used in the medium.
Glucose
Among carbohydrates, glucose is probably the most used and monitored, and it can be easily assessed using the assays described above. However, for samples containing other sugars or interfering substances (toluene, for example; ), enzymatic assays are very specific and provide more accurate measurements. Two enzymatic assays exist to assess glucose in various samples (Figure 9). The first assay is based on glucose oxidation by glucose oxidase (EC: 1.1.3.4), which generates H2O2 and D-gluconic acid. After this step, hydrogen peroxide reacts with o-dianisidine in the presence of peroxidase (EC: 1.11.1.7) to form a colored compound in the reaction solution. Finally, oxidized o-dianisidine reacts with sulfuric acid to form a more stable colored product (Sigma Aldrich). The other enzymatic assay used for glucose determination relies on hexokinase (EC: 2.7.1.1). Glucose is phosphorylated by hexokinase, and the resulting glucose-6-phosphate is then oxidized to 6-phospho-gluconolactone by glucose-6-phosphate dehydrogenase (EC: 1.1.1.49). The NADH produced results in increased absorbance at 340 nm. Of note, glucose-6-phosphate dehydrogenase usually uses NADP+ as a cofactor, but this enzyme is rather unspecific with regard to the cofactor (NADP+ or NAD+). Thus, in many commercial assays, NAD+ is used because of its lower cost and better stability. Both enzymatic assays are commercially available and cost roughly the same. Several studies focused on glucose consumption used diabetic glucose meters [electrochemical sensors also based on glucose oxidase (sensing H2O2)] to measure glucose. The approach is cheap, although calibration is required as those meters have been optimized for blood tests and might have an offset in other media or solutions. Glucose-doped samples might also be of use for low-glucose concentrations or when validation is needed (authors’ personal observations). At this point, many attempts are made to “hack” such meters and use them as bacterial contamination detection tools/platforms. Finally, it must be noted that glucose sensors are among the most investigated types of sensors. A recent study showed that over 9,000 publications existed on the topic in Web of Science, and around 400 more appear every year. As a consequence, glucose detection will still change quite a lot in the coming years and other assays are likely to become available.
Organic Acids
Among the potential carbon sources used by microbes or the by-products released by their metabolism, organic acids have received a lot of attention due to their role in food production, plant growth, diseases, and weathering processes. The measurement of organic acids in various samples is often performed using IC or HPLC as well as capillary electrophoresis. However, chromatography and electrophoresis often demand some preparation, during which sample recovery might not be optimal. For single organic acids, many commercial enzymatic assays can be used to detect the most commonly encountered ones (Table 2). These assays often rely on the production or consumption of NADH directly detected by a change in absorbance at 340 nm. Alternatively, in enzyme assays using dehydrogenases or coupled to peroxidase (EC: 1.11.1.7), it is common to add a redox indicator [such as 2-(4-iodophenyl)-3-(4-nitrophenyl)-5-(2,4-disulfophenyl)-2H-tetrazolium (WST-1) or resazurin; see previous sections] to perform colorimetric/spectrophotometric measurement in the visible range. Many of these assays can be performed at later stages in well plate format, making throughput rather high.
Incorporation Assays (To Monitor Microbial Activity)
The incorporation of labeled or analog substrates in microbial biomass has been widely used (and would certainly deserve a review on its own). The incorporation rate of the selected compounds is assumed to be proportional to the metabolic activity and the viability of anabolically active microbes. As a result, many incorporation assays relying on different detection methodologies have evolved. In addition, many of these techniques are compatible with further use of microscopy and single-cell analysis as well as (meta)genomics and (meta)proteomics tools (not discussed within the scope of this review; see, for more information), thus making such incorporation assay very attractive when further functional or taxonomic characterization of a system is considered. The sensitivity of incorporation assays depends on the detection technology on one end, but also the relative amounts of cell component labeled on the other end. In microbial cells, the relative abundance of macromolecules is as follows: proteins [52%–70% dry weight (DW)] > RNA (4%–20% DW) > lipids (8%–9% DW) > DNA (2%–3% DW). This makes the choice of the target crucial in order to have the best possible monitoring of the incorporation, depending on the extraction and recovery of the target molecule to be labeled from the sample (or culture). Furthermore, one has to keep in mind that the proportions of these macromolecules might vary a lot depending on the growth conditions and growth rate.
Overall, the compounds used for incorporation assays fall under three main categories: radioisotopes, stable isotopes, and substrate analogs (Table 3).
Radioisotope Incorporation
Radioisotopes are easily detected because of the ionizing radiations they emit. The most commonly used radiolabeled compounds are 3H-thymidine and 3H-leucine or 14C-leucine. These radiolabeled substrates have been used separately or in combination (3H-thymidine and 14C-leucine). Thymidine is incorporated into microbial DNA and thus provides a measure of DNA synthesis. Similarly, leucine is incorporated into proteins and acts as a proxy for protein synthesis. The combination of both allows the measurements of protein synthesis and DNA synthesis in a single experiment. This approach assumes that thymidine and/or leucine is taken up into the cells; however, some microbes, especially strict autotrophs and oligotrophs, lack the necessary transporters for the uptake of many organic molecules, including amino acids and nucleotides. Practically, samples are incubated with radiolabeled substrates at a final concentration within the μM range (from 1 μm for thymidine to 15 μM for leucine; see an example in ), ensuring saturation. It must be noted that such concentrations are at least two to four orders of magnitude higher than the concentrations of these compounds in the environment, where they typically do not exceed the nM range. This certainly has an effect and must be considered as a potential limitation of such approach. The incubation is usually short to avoid inducing changes in the microbial community structure and potential deleterious effects of ionizing radiation and ranges from a few minutes to a few hours depending on the nature and activity of the sample. After incubation, the incorporation is stopped by cooling and/or adding ethanol or trichloroacetic acid (TCA). Labeled protein or DNA is then extracted and precipitated, taking care to remove unincorporated radiolabeled thymidine and leucine. Finally, after a final solubilization step, labeled macromolecules are determined using a scintillation counter and the incorporation rate can be calculated. The use of radiolabeled isotopes is becoming less frequent as less demanding alternatives (in terms of labor, safety, and waste management) are developed (see following sections). Still, other radioactive substrates are still in use for specific purposes such as in parasitology (3H hypoxanthine) and environmental science (14C acetate, 14C glucose) in combination with microautoradiography (MAR).
Stable Isotope Probing
Stable isotope probing (SIP) refers to the use of stable isotope-labeled substrates to probe the microbial utilization of these specific substrates to build their macromolecules. As a result, DNA-, RNA-, phospholipid fatty acid (PLFA)-, and protein-SIP are possible using different stable isotopes (mostly 2H, 13C, 15N, and 18O). Comparing the different SIP targets, one can see a trade-off between the amount of incorporation required, the workload, and the taxonomic information gained. Indeed, protein-SIP can provide some taxonomic information; however, the gold standard remains DNA-SIP. In most studies, the use of SIP is intended to gather taxonomic or proteomic information about the anabolically active part of the microbial population. Much valuable information on metabolic rates can be gathered in the analytical process as well. Most SIP studies rely on the extraction of target macromolecules (i.e., DNA, RNA, phospholipids, and protein) and further analysis using liquid chromatography coupled with MS. In this context, several indicators gathered from MS data have been recognized as useful proxies for metabolic rates and carbon fluxes. In particular, labeling ratio (lr), relative isotope abundance (RIA), and the shape of the isotope pattern of specific peptides can provide valuable information. The lr is the ratio of the intensity of the isotope pattern of labeled peptide and the total intensity of isotope patterns of unlabeled and labeled peptides. This ratio is considered to be an indicator of protein synthesis and turnover in time-resolved analysis. Indeed, the evolution of the lr over time closely matches the growth curve for protein expressed under growth conditions and can be processed using growth curve fitting equations. For such analysis, the choice of the protein or peptides analyzed is therefore crucial, and several peptides might be analyzed. RIA is the percentage of stable isotope incorporation estimated using the extent of mass shift of the peptide peak. It is a proxy for the metabolization of carbon (or nitrogen). Finally, an ideal Gaussian distribution of the m/z (mass over charge) values of a peptide indicates direct substrate utilization. On the other hand, m/z value distribution for a peptide showing an isotope pattern with negative skewness (i.e., differing from the ideal Gaussian distribution and tailing toward lower m/z values) indicates indirect 13C substrate metabolization (e.g., through cross-feeding). These three indicators have been investigated with protein-SIP until now; however, one can assume that they can be used with PLFA-SIP as well.
As an alternative to MS, Raman microspectroscopy can be used in combination with optical tweezers or single-cell ejection to sort and separate labeled from unlabeled cells with high accuracy. The incorporation of heavy isotopes in the cell macromolecules results in a shift of the Raman peaks toward lower wavenumbers compared with unlabeled cell spectra. That detectable Raman shift can be used to manually or automatically trigger the use of optical tweezers or single-cell ejection system to allow rapid screening of cells and keep them for further analysis (metagenomics) and eventual metabolic profiling. In this context, Raman spectra can be used directly to monitor the incorporation rate, as the shift observed is proportional to the incorporation of heavy isotopes and can be from the bulk biomass down to the single-cell level using spontaneous Raman microspectroscopy or surface-enhanced Raman spectroscopy (SERS).
Substrate Analog Probing
Substrate analog probing is a term introduced by Hatzenpichler to differentiate the approach from SIP. This approach uses synthetic compounds that are structurally and/or functionally analogous to natural molecules. Such analogs are incorporated into cell macromolecules due to enzyme promiscuity. Some of these substrate analogs already bear a fluorescent tag, allowing their direct detection; however, most analogs must be detected after incorporation using immunocapture, immunostaining, or “click chemistry” (i.e., azide–alkyne cycloaddition; ) reactions with an appropriate fluorescent or affinity tag. The variety of substrate analogs available nowadays allows monitoring of the incorporation of substrate analogs into all types of macromolecules (i.e., DNA, RNA, protein, and lipids; Table 3).
Similarly to radiolabeled thymidine incorporation, 5-bromo-2′-deoxyuridine (BrdU) has been used in the same way. Indeed, BrdU is an analog of the DNA precursor thymidine. When it is added to a sample containing growing cells (culture or environmental sample), the cells incorporate BrdU into their DNA instead of thymidine. The BrdU-containing DNA is then detected using an anti-BrdU antibody. Then, a secondary antibody specific for the anti-BrdU primary antibody is used to capture the DNA (with the help of paramagnetic beads), thus providing a new sample of reduced complexity that corresponds to cells effectively dividing, which can be further analyzed using molecular methods. Alternatively, for visualization or quantification purposes, the secondary antibody can be coupled with a fluorescent tag. As for other incorporation assays, one can assume that the incorporation rate is proportional to the metabolic activity. However, it must be noted that in some biofilms or when experiencing limitation in nitrogen or phosphorus availability, bacteria can show high metabolic activity but poor growth and thus very low DNA synthesis. In addition, it was shown that many species are not able to incorporate BrdU and that interpretation should be done with care when using BrdU. stated that “while BrdU incorporation can be used to prove that specific populations of bacteria in a natural ecosystem are growing, this method cannot be used conversely to prove that a population is not growing, unless it is also demonstrated that the species in question can assimilate BrdU.”
Among all the methods developed, bio-orthogonal noncanonical amino acid tagging (BONCAT) has garnered much interest because of its compatibility with many other approaches such as FACS, fluorescence in situ hybridization (FISH), nanoscale secondary ion mass spectrometry (nanoSIMS), (meta)genomics, and (meta)proteomics. In BONCAT, a methionine analog such as azide-bearing azidohomoalanine (AHA) or alkyne-bearing homopropargylglycine (HPG; syn: 2-amino-5-hexynoic acid) is used to label newly formed proteins. Indeed, methionine-tRNA ligase (EC: 6.1.1.10: syn methionyl-tRNA synthetase) can accommodate amino acid analogs such as homopropargylglycine (HPG) and AHA but at a slower rate. Between these two methionine analogs, HPG incorporation is still slower than AHA incorporation. After an incubation step (preferably in a medium without methionine), the cells are usually fixed to increase sample stability during storage and then labeled using click chemistry (Figure 10) using the matching azide or alkyne tag. A variety of fluorescent tags have been developed and used in combinations with FACS and microscopy to detect and/or sort anabolically active cells.
Similarly, biotin tags allowing quantification, affinity purification, and further identification of protein using MS have been used as well. Although BONCAT is intended more for further genomic or proteomic characterization, labeling rates of cells or specific proteins can also be used as a proxy for metabolic rates. Indeed, the evolution of fluorescence of a culture or from extracted proteins matches 3H-leucine incorporation.
Isothermal Calorimetry
In living organisms, the result of metabolic activity leading to maintenance, development, and reproduction also includes some heat release. The accompanying enthalpy changes can be measured using calorimetry and especially isothermal microcalorimetry. Most of the recent isothermal microcalorimeters are heat conduction calorimeters. In such instruments, metabolic heat produced in a sealed calorimeter vial is allowed to flow to a thermostatted heat sink that has very high heat capacity (usually 100 times higher than that of the sample). The thermoelectric module placed between the sample and the heat sink allows minute temperature differences between the two to be converted into electric signals that can be easily recorded and calibrated to be proportional to the heat flow. The heat flow (or thermal power), expressed in W, is directly proportional to the metabolic activity (measured by other means such as oxygen consumption rate; for example, ). The passive and external measurement (through the thermopile placed below vials that are kept sealed) makes isothermal microcalorimetry well suited for measuring metabolic activity in general, but even more advantageous for solid and opaque samples (such as blood, soil, sediment, milk, and agar, for example;;;;; ).
In addition, isothermal calorimetry is a quantitative tool, and for some types of metabolism and media, the enthalpy of the overall metabolic reaction (ΔHrxn) can be easily estimated (for example, when biomass formation can be neglected; see; ). This allows direct calculation of the reaction rate from the heat dissipation rate (i.e., the heat flow). Furthermore, coupling metabolic reaction with CO2 measurement directly within the calorimeter allows rapid additional insight into the metabolic rates and yield, for example. In this context, many authors have demonstrated that enthalpy change and CO2 production can be determined simultaneously by many calorimetry instruments using a CO2 trap containing NaOH 1 M (usually an HPLC insert) and measuring the additional enthalpy caused by the hydration of CO2 into HCO3– (–108.5 kJ⋅mol–1), thus helping to rapidly match CO2 production and heat dissipation. This approach is referred to as calorespirometry and can be very useful in determining biomass formation or yield using a few more pieces of data (see next section).
Relations and Correlations Between Assays
As all of these techniques have the same goal (i.e., measuring metabolism), the consequence is that many of them provide data that can be correlated or combined. Indeed, several studies have correlated two or more of the abovementioned assays for microbes or higher organisms. This is important, as it allows rapid validation of the use of a technique or deciphering between different types of metabolism. In this context, a lack of correlation might sometimes be more informative than correlation itself. For example, high activity measured by an assay without matching electron acceptor reduction might point to the use of an alternative electron acceptor (NO3–, for example) or fermentation (sensu stricto). Similarly, calorespirometric ratios (heat per O2 and heat per CO2) can give valuable information. Heat per O2 can help detect the presence of anaerobic processes, and heat per CO2 can provide hints on the type of carbon source used (carbohydrate, protein, or lipids). For heat per O2, the Thornton rule states that the enthalpy of combustion of organic compounds is roughly constant when expressed per mole of O2. The average value of this ratio is −455 ± 15 kJ⋅mol–1 O2; that is, −107 to −120 kJ⋅mol–1 e-. Therefore, for respiring organisms (and irrespective of the carbon source), the ratio can be used to estimate these parameters (carbon source consumption or oxygen consumption). More importantly, deviation from the oxycaloric ratio can provide information on the presence of anaerobic processes and estimation of the fraction of anaerobic metabolism at steady state. Similarly, heat per CO2 is a proxy for efficiency, as it is an approximate measure of the rate of catabolism over the rates of catabolism plus anabolism. Low values of heat per CO2 indicate that only little energy is lost from catabolism. Still, care must be taken when using such ratios, as the presence or use of nitrogen-containing compounds (such as urea) and peroxides might lead to significant deviation from the Thornton rule. In addition, calorespirometric ratios overall for many types of metabolism, even more complex types combining several of these assays, can provide a rather complete metabolic budget (carbon, nitrogen, oxygen, energy). An example for glucose respiration is given below:
The following conservation equations can now be written:
(note that for the calculations below, d, e, and f are negative)
C conservation: 6a + 1 + d = 0
H conservation: 12a + 4c + 1.8 + 2e + f = 0
O conservation: 6a + 2b + 0.5 + 2d + e = 0
N conservation: c + 0.2 = 0
Charge conservation: c + f = 0
As these equations clearly show, all variables are not independent, and solving for only a few of the parameters (a, b, c, d, e, and f) allows for determining the other ones. Moreover, calorimetry can provide an additional equation to solve this system. Indeed, using the enthalpy of reaction provides an additional equation that can further help solve the equation system. The enthalpy of reaction (ΔHrxn) measured by the calorimeter can also be calculated using enthalpy of formation (ΔHf) or of combustion (ΔHc); using enthalpy of combustion simplifies the equation even more (see details in;; ).
ΔHrxn = −(ΔHc Cbiomass + f⋅ΔHc H − a⋅ΔHc Cglc − c⋅ΔHc HNH4) (from )
The enthalpies of formation and combustion of organic matter, and especially organic matter from microbial biomass, can be found in several review papers, thus making this approach easy to implement with relatively high accuracy.
However, such an approach requires that the metabolism of the organism (or group of organisms) is already known and that the organisms have been characterized up to the point where the growth equation can be written in an accurate manner.
Future Perspectives
Many of these assays have been used for a long time and have been improved and optimized using new chemicals and instruments. Still, as mentioned for glucose, many studies continue to improve or adapt (not to say “hack” or “exploit”) these methods and approaches. Among the possible promising approaches for many of these assays, the lab on a chip is very appealing. Microfluidic systems, piezoelectric pumps, and sub-millimeter size sensors make it possible to build an array of sensors that can monitor different compounds over time and thus provide real-time monitoring of metabolic rates. It is likely that, in the future, many of these assays (or replacements for some of them) will be combined on single disposable chips. Alternatively, for now, 3D printing and rapid prototyping methods also allow rapid development of microfluidic devices that can incorporate such new sensors. Finally, it must be noted that such chips are very close to becoming reality, as several authors have already presented multiple parameters using separate microprobes or microfluidic chips simultaneously measuring pH, OD, and dissolved oxygen, for example. Still, as this is a rapidly evolving field, many new sensor types might appear in the next years.
Author Contributions
OB and MA-F drafted and wrote the manuscript. TW and GB critically reviewed the manuscript and improved it. All authors read and approved the submitted version.
Conflict of Interest
GB was employed by the company Alta-Uro AG. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References 248
- 1.
Adam G. Duncan H. (2001 ). Development of a sensitive and rapid method for the measurement of total microbial activity using fluorescein diacetate (FDA) in a range of soils. Soil Biol. Biochem. 33 943–951.
Not in our library
- 2.
Adams R. F. Jones R. L. Conway P. L. (1984 ). High-performance liquid chromatography of microbial acid metabolites. J. Chromatogr. 336 125–137.
Not in our library10.1016/s0378-4347(00)85136-1
- 3.
Alklint C. Wadsö L. Sjöholm I. (2005 ). Accelerated storage and isothermal microcalorimetry as methods of predicting carrot juice shelf-life. J. Sci. Food Agric. 85 281–285.
Not in our library10.1002/jsfa.1942
- 4.
- 5.
Antoine L. Laplace P. S. (1921 ). Mémoire sur la Chaleur. Paris: Académie des Sciences
Not in our library10.1007/bf01702725
- 6.
Atkinson D. E. (1969 ). Regulation of enzyme function. Annu. Rev. Microbiol. 23 47–68.
Not in our library10.1146/annurev.mi.23.100169.000403
- 7.
Bååth E. (1998 ). Growth rates of bacterial communities in soils at varying pH: a comparison of the thymidine and leucine incorporation techniques. Microb. Ecol. 36 316–327.
Not in our library10.1007/s002489900118
- 8.
Barros N. Salgado J. Rodríguez-Añón J. A. Proupín J. Villanueva M. Hansen L. D. (2010 ). Calorimetric approach to metabolic carbon conversion efficiency in soils: comparison of experimental and theoretical models. J. Therm. Anal. Calorim. 99 771–777.
Not in our library
- 9.
Bartosch S. Mansch R. Knötzsch K. Bock E. (2003 ). CTC staining and counting of actively respiring bacteria in natural stone using confocal laser scanning microscopy. J. Microbiol. Methods 52 75–84.
Not in our library10.1016/s0167-7012(02)00133-1
- 10.
Beda N. Nedospasov A. (2005 ). A spectrophotometric assay for nitrate in an excess of nitrite. Nitric Oxide Biol. Chem. 13 93–97.
Not in our library10.1016/j.niox.2005.05.002
- 11.
Berridge M. V. Herst P. M. Tan A. S. (2005 ). Tetrazolium dyes as tools in cell biology: new insights into their cellular reduction. Biotechnol. Annu. Rev. 11 127–152.
Not in our library10.1016/s1387-2656(05)11004-7
- 12.
Bittig H. C. Körtzinger A. Neill C. van Ooijen E. Plant J. N. Hahn J. (2018 ). Oxygen optode sensors: principle, characterization, calibration, and application in the ocean. Front. Mar. Sci. 4:429
Not in our library10.3389/fmars.2017.00429
- 13.
Bloem J. Bolhuis P. R. (2009 ). Thymidine and leucine incorporation to assess bacterial growth rate. Microbiol. Methods Assess. Soil Qual. 58 142–149.
Not in our library10.1079/9780851990989.0142
- 14.
Bondar R. J. Mead D. C. (1974 ). Evaluation of glucose-6-phosphate dehydrogenase from Leuconostoc mesenteroides in the hexokinase method for determining glucose in serum. Clin. Chem. 20 586–590.
Not in our library10.1093/clinchem/20.5.586
- 15.
Bondyale-Juez D. R. Packard T. T. Viera-Rodríguez M. A. Gómez M. (2017 ). Respiration: comparison of the Winkler technique, O2 electrodes, O2 optodes and the respiratory electron transport system assay. Mar. Biol. 164:226.
Not in our library
- 16.
Braeckman B. P. Houthoofd K. Vanfleteren J. R. (2002 ). Assessing metabolic activity in aging Caenorhabditis elegans: concepts and controversies. Aging Cell 1 82–88.
Not in our library10.1046/j.1474-9728.2002.00021.x
- 17.
Braissant O. Bachmann A. Bonkat G. (2015 ). Microcalorimetric assays for measuring cell growth and metabolic activity: methodology and applications. Methods 76 27–34.
Not in our library10.1016/j.ymeth.2014.10.009
- 18.
Braissant O. Decho A. W. Przekop K. M. Gallagher K. L. Glunk C. Dupraz C. (2009 ). Characteristics and turnover of exopolymeric substances in a hypersaline microbial mat. FEMS Microbiol. Ecol. 67 293–307.
Not in our library10.1111/j.1574-6941.2008.00614.x
- 19.
Braun L. Hazell L. Webb A. J. Allan F. Emery A. M. Templeton M. R. (2020 ). Determining the viability of Schistosoma mansoni cercariae using fluorescence assays: an application for water treatment. PLoS Negl. Trop. Dis. 14:e0008176
Not in our library10.1371/journal.pntd.0008176
- 20.
Braunschweig J. Bosch J. Heister K. Kuebeck C. Meckenstock R. U. (2012 ). Reevaluation of colorimetric iron determination methods commonly used in geomicrobiology. J. Microbiol. Methods 89 41–48.
Not in our library10.1016/j.mimet.2012.01.021
- 21.
Bravo D. Braissant O. Cailleau G. Verrecchia E. Junier P. (2014 ). Isolation and characterization of oxalotrophic bacteria from tropical soils. Arch. Microbiol. 197 65–77.
Not in our library10.1007/s00203-014-1055-2
- 22.
Bravo D. Braissant O. Solokhina A. Clerc M. Daniels A. U. Verrecchia E. (2011 ). Use of an isothermal microcalorimetry assay to characterize microbial oxalotrophic activity. FEMS Microbiol. Ecol. 78 266–274.
Not in our library10.1111/j.1574-6941.2011.01158.x
- 23.
Breeuwer P. Drocourt J. L. Bunschoten N. Zwietering M. H. Rombouts F. M. Abee T. (1995 ). Characterization of uptake and hydrolysis of fluorescein diacetate and carboxyfluorescein diacetate by intracellular esterases in Saccharomyces cerevisiae, which result in accumulation of fluorescent product. Appl. Environ. Microbiol. 61 1614–1619.
Not in our library10.1128/aem.61.4.1614-1619.1995
- 24.
Breznan D. Das D. MacKinnon-Roy C. Simard B. Kumarathasan P. Vincent R. (2015 ). Non-specific interaction of carbon nanotubes with the resazurin assay reagent: impact on in vitro assessment of nanoparticle cytotoxicity. Toxicol. In Vitro 29 142–147.
Not in our library10.1016/j.tiv.2014.09.009
- 25.
Briand E. Pringault O. Jacquet S. Torréton J. P. (2004 ). The use of oxygen microprobes to measure bacterial respiration for determining bacterioplankton growth efficiency. Limnol. Oceanogr. Methods 2 406–416.
Not in our library10.4319/lom.2004.2.406
- 26.
Brückner D. Koch R. Ulrich Z. Stephan K. Gernot B. Braissant O. (2019 ). Case Study with a TDLAS-based Semi-automated Media Fill Inspection Platform. Pharm. Ind. 81 696–707.
Not in our library
- 27.
Brueckner D. Roesti D. Zuber U. Sacher M. Duncan D. Krähenbühl S. (2017 ). Tunable diode laser absorption spectroscopy as method of choice for non-invasive and automated detection of microbial growth in media fills. Talanta 167 21–29.
Not in our library10.1016/j.talanta.2017.01.088
- 28.
Brueckner D. Roesti D. Zuber U. G. Schmidt R. Kraehenbuehl S. Bonkat G. (2016 ). Comparison of tunable diode laser absorption spectroscopy and isothermal micro-calorimetry for non-invasive detection of microbial growth in media fills. Sci. Rep. 6:27894.
Not in our library10.1038/srep27894
- 29.
Brun R. Kunz C. (1989 ). In vitro drug sensitivity test for Trypanosoma brucei subgroup bloodstream trypomastigotes. Acta Trop. 46 361–368.
Not in our library10.1016/0001-706x(89)90048-x
- 30.
Cenens J. Schoonheydt R. A. (1988 ). Visible Spectroscopy of Methylene Blue on Hectorite, Laponite B, and Barasym in Aqueous Suspension. Clays Clay Miner. 36 214–224.
Not in our library10.1346/ccmn.1988.0360302
- 31.
Chapman A. G. Fall L. Atkinson D. E. (1971 ). Adenylate energy charge in Escherichia coli during growth and starvation. J. Bacteriol. 108 1072–1086.
Not in our library10.1128/jb.108.3.1072-1086.1971
- 32.
Chen C. Xie Q. Yang D. Xiao H. Fu Y. Tan Y. (2013 ). Recent advances in electrochemical glucose biosensors: a review. RSC Adv. 3 4473–4491.
Not in our library10.1039/c2ra22351a
- 33.
Chidthaisong A. Conrad R. (2000 ). Turnover of glucose and acetate coupled to reduction of nitrate, ferric iron and sulfate and to methanogenesis in anoxic rice field soil. FEMS Microbiol. Ecol. 31 73–86.
Not in our library10.1016/s0168-6496(99)00083-5
- 34.
Coleman R. L. Shults W. D. Kelley M. T. Dean J. A. (1972 ). Turbidimetry via Parallel photometric analysis determination of sulfate. Anal. Chem. 44 1031–1034.
Not in our library10.1021/ac60314a024
- 35.
Cooney C. L. Wang D. I. C. Mateles R. I. (1969 ). Measurement of heat evolution and correlation with oxygen consumption during microbial growth. Biotechnol. Bioeng. 11 269–281.
Not in our library10.1002/bit.260110302
- 36.
Cordier J. L. Butsch B. M. Birou B. von Stockar U. (1987 ). The relationship between elemental composition and heat of combustion of microbial biomass. Appl. Microbiol. Biotechnol. 25 305–312.
Not in our library10.1007/bf00252538
- 37.
Cotter J. J. O’Gara J. P. Casey E. (2009 ). Rapid depletion of dissolved oxygen in 96-well microtiter plate Staphylococcus epidermidis biofilm assays promotes biofilm development and is influenced by inoculum cell concentration. Biotechnol. Bioeng. 103 1042–1047.
Not in our library10.1002/bit.22335
- 38.
Créach V. Baudoux A. C. Bertru G. Le Rouzic B. (2003 ). Direct estimate of active bacteria: CTC use and limitations. J. Microbiol. Methods 52 19–28.
Not in our library10.1016/s0167-7012(02)00128-8
- 39.
Criddle R. S. Fontana A. J. Rank D. R. Paige D. Hansen L. D. Breidenbach R. W. (1991 ). Simultaneous measurement of metabolic heat rate, CO2 production, and O2 consumption by microcalorimetry. Anal. Biochem. 194 413–417.
Not in our library10.1016/0003-2697(91)90250-w
- 40.
Cui S. Brummer Y. (2005 ). “Understanding Carbohydrate Analysis,” in Food Carbohydrates, ed. S. W. Cui (Boca Raton, FL: CRC Press).
Not in our library10.1201/9780203485286.ch2
- 41.
De La Fuente I. M. Cortés J. M. Valero E. Desroches M. Rodrigues S. Malaina I. (2014 ). On the dynamics of the adenylate energy system: homeorhesis vs homeostasis. PLoS One 9:e108676.
Not in our library10.1371/journal.pone.0108676
- 42.
de Toledo V. A. A. Colla Ruvolo-Takasusuki M. C. de Oliveira A. J. B. Dechechi E. Sanches Lopes S. M. (2012 ). “Spectrophotometry as a Tool for Dosage Sugars in Nectar of Crops Pollinated by Honeybees,” in Macro to Nano Spectroscopy, ed. Uddin J. (Rijeka: InTech), 269–290.
Not in our library10.5772/48043
- 43.
Devor A. W. Baker W. L. Devor K. A. (1964 ). Effect of toluene and similar compounds on the carbohydrate-anthrone. Clin. Chem. 10 597–599.
Not in our library10.1093/clinchem/10.7.597
- 44.
Dike L. E. Xia H. Guarino R. D. Presnell S. C. Timmins M. R. (2005 ). Rapid method for assessing oxygen consumption rate of cells from transient-state measurements of pericellular dissolved oxygen concentration. Cytotechnology 49 133–141.
Not in our library10.1007/s10616-006-6353-3
- 45.
Dreywood R. (1946 ). Qualitative test for carbohydrate material. Ind. Eng. Chem. Anal. Ed. 18 499
Not in our library10.1021/i560156a015
- 46.
Dubois M. Gilles K. Hamilton J. K. Rebers P. A. Smith F. (1951 ). A colorimetric method for the determination of sugars. Nature 168:167.
Not in our library10.1038/168167a0
- 47.
Dubois M. Gilles K. A. Hamilton J. K. Rebers P. A. Smith F. (1956 ). Colorimetric method for determination of sugars and related substances. Anal. Chem. 28 350–356.
Not in our library10.1021/ac60111a017
- 48.
Dufour P. Colon M. (1992 ). The tetrazolium reduction method for assessing the viability of individual bacterial cells in aquatic environments: improvements, performance and applications. Hydrobiologia 232 211–218.
Not in our library10.1007/bf00013706
- 49.
Duncan D. Cundell T. Levac L. Veale J. Kuiper S. Rao R. (2016 ). The application of noninvasive headspace analysis to media fill inspection. PDA J. Pharm. Sci. Technol. 70 230–247.
Not in our library10.5731/pdajpst.2015.006312
- 50.
- 51.
Emwas A. H. M. Salek R. M. Griffin J. L. Merzaban J. (2013 ). NMR-based metabolomics in human disease diagnosis: applications, limitations, and recommendations. Metabolomics 9 1048–1072.
Not in our library10.1007/s11306-013-0524-y
- 52.
Farhat N. M. Staal M. Siddiqui A. Borisov S. M. Bucs S. S. Vrouwenvelder J. S. (2015 ). Early non-destructive biofouling detection and spatial distribution: application of oxygen sensing optodes. Water Res. 83 10–20.
Not in our library10.1016/j.watres.2015.06.015
- 53.
Farías M. E. Contreras M. Rasuk M. C. Kurth D. Flores M. R. Poiré D. G. (2014 ). Characterization of bacterial diversity associated with microbial mats, gypsum evaporites and carbonate microbialites in thalassic wetlands: tebenquiche and La Brava, Salar de Atacama, Chile. Extremophiles 18 311–329.
Not in our library10.1007/s00792-013-0617-6
- 54.
Feigl V. Ujaczki É Vaszita E. Molnár M. (2017 ). Influence of red mud on soil microbial communities: application and comprehensive evaluation of the Biolog EcoPlate approach as a tool in soil microbiological studies. Sci. Total Environ. 595 903–911.
Not in our library10.1016/j.scitotenv.2017.03.266
- 55.
Flavigny R. (2014 ). Diabetic glucose meter for the determination of glucose in microbial cultures. J. Microbiol. Methods 100 91–92.
Not in our library10.1016/j.mimet.2014.03.002
- 56.
Fontvieille D. A. Outaguerouine A. Thevenot D. R. (1992 ). Fluorescein diacetate hydrolysis as a measure of microbial activity in aquatic systems: application to activated sludges. Environ. Technol. 13 531–540.
Not in our library10.1080/09593339209385181
- 57.
Fuentealba M. Muñoz R. Maturana P. Krapp A. Cabrera R. (2016 ). Determinants of cofactor specificity for the glucose-6-phosphate dehydrogenase from Escherichia coli: simulation, kinetics and evolutionary studies. PLoS One 11:e0152403.
Not in our library10.1371/journal.pone.0152403
- 58.
Fukui M. Takii S. (1989 ). Reduction of tetrazolium salts by sulfate-reducing bacteria. FEMS Microbiol. Lett. 62 13–19.
Not in our library10.1016/0378-1097(89)90101-8
- 59.
Gallagher K. L. Kading T. J. Braissant O. Dupraz C. Visscher P. T. (2012 ). Inside the alkalinity engine: the role of electron donors in the organomineralization potential of sulfate-reducing bacteria. Geobiology 10 518–530.
Not in our library10.1111/j.1472-4669.2012.00342.x
- 60.
García-Robledo E. Corzo A. Papaspyrou S. (2014 ). A fast and direct spectrophotometric method for the sequential determination of nitrate and nitrite at low concentrations in small volumes. Mar. Chem. 162 30–36.
Not in our library10.1016/j.marchem.2014.03.002
- 61.
Gaspar M. L. Cabello M. N. Pollero R. Aon M. A. (2001 ). Fluorescein diacetate hydrolysis as a measure of fungal biomass in soil. Curr. Microbiol. 42 339–344.
Not in our library10.1007/s002840010226
- 62.
Georges R. J. (1971 ). The use of some colour reactions of sugars in clinical chemistry. Ann. Clin. Biochem. 8 210–212.
Not in our library10.1177/000456327100800171
- 63.
Gerencser A. A. Neilson A. Choi S. W. Edman U. Yadava N. Oh R. J. (2009 ). Quantitative microplate-based respirometry with correction for oxygen diffusion. Anal. Chem. 81 6868–6878.
Not in our library10.1021/ac900881z
- 64.
Ghosh S. Korza G. Maciejewski M. Setlow P. (2015 ). Analysis of metabolism in dormant spores of Bacillus species by 31P nuclear magnetic resonance analysis of low-molecular-weight compounds. J. Bacteriol. 197 992–1001.
Not in our library10.1128/jb.02520-14
- 65.
Glud R. N. Klimant I. Holst G. Kohls O. Meyer V. Kühl M. (1999 ). Adaptation, test and in situ measurements with O2 microopt(r)odes on benthic landers. Deep Res. Part I Oceanogr. Res. Pap. 46 171–183.
Not in our library10.1016/s0967-0637(98)00068-5
- 66.
Glud R. N. Wenzhöfer F. Tengberg A. Middelboe M. Oguri K. Kitazato H. (2005 ). Distribution of oxygen in surface sediments from central Sagami Bay, Japan: in situ measurements by microelectrodes and planar optodes. Deep Res. Part I Oceanogr. Res. Pap. 52 1974–1987.
Not in our library10.1016/j.dsr.2005.05.004
- 67.
Gómez I. Brito L. Acosta V. Troccoli L. (2015 ). Microbial activity in surface sediments of Chacopata-Bocaripo lagoon axis, Sucre State, Venezuela. Mar. Pollut. Bull. 91 483–490.
Not in our library10.1016/j.marpolbul.2014.10.028
- 68.
Gong P. (1997 ). Dehydrogenase activity in soil: a comparison between the TTC and INT assay under their optimum conditions. Soil Biol. Biochem. 29 211–214.
Not in our library10.1016/s0038-0717(96)00290-8
- 69.
Gonzalez-Ortiz L. M. Sanchez-Villamil J. P. Celis-Rodriguez M. A. Lineros G. Sanabria-Barrera S. Serrano N. C. (2019 ). Measuring mitochondrial respiration in adherent cells infected with Trypanosoma cruzi Chagas, 1909 using Seahorse extracellular flux analyser. Folia Parasitol. 66 1–9.
Not in our library10.14411/fp.2019.016
- 70.
González-Pinzón R. Haggerty R. Myrold D. D. (2012 ). Measuring aerobic respiration in stream ecosystems using the resazurin-resorufin system. J. Geophys. Res. Biogeosci. 117:G00N06
Not in our library10.1029/2012jg001965
- 71.
Goodwin J. F. Murphy B. (1966 ). The colorimetric determination of iron in biological material with reference to its measurement during chelation therapy. Clin. Chem. 12 58–69.
Not in our library10.1093/clinchem/12.2.58
- 72.
Grela E. Kozłowska J. Grabowiecka A. (2018 ). Current methodology of MTT assay in bacteria – A review. Acta Histochem. 120 303–311.
Not in our library10.1016/j.acthis.2018.03.007
- 73.
Griess P. (1879 ). Bemerkungen zu der Abhandlung der HH. Weselsky und Benedikt “Ueber einige Azoverbindungen?” J. Griess. Ber. Deutsch. Chem. Ges. 12 426–428.
Not in our library10.1002/cber.187901201117
- 74.
Gryta A. Frąc M. Oszust K. (2014 ). The application of the biolog ecoplate approach in ecotoxicological evaluation of dairy sewage sludge. Appl. Biochem. Biotechnol. 174 1434–1443.
Not in our library10.1007/s12010-014-1131-8
- 75.
Guarino R. D. Dike L. E. Haq T. A. Rowley J. A. Pitner J. B. Timmins M. R. (2004 ). Method for determining oxygen consumption rates of static cultures from microplate measurements of pericellular dissolved oxygen concentration. Biotechnol. Bioeng. 86 775–787.
Not in our library10.1002/bit.20072
- 76.
Guerrero R. Mas J. (1989 ). “Multilayered microbial communities in aquatic ecosystems: growth and loss factors,” in Microbial Mats: Physiological Ecology of Benthic Microbial Communities, eds Cohen Y. Rosenberg E. (Washington, DC: ASM), 37–51.
Not in our library
- 77.
Guimer X. Moya A. Dorado A. D. Illa X. Villa R. Gabriel D. (2019 ). A minimally invasive microsensor specially designed for simultaneous dissolved oxygen and pH biofilm profiling. Sensors 19:4747.
Not in our library10.3390/s19214747
- 78.
Gupta V. K. Ganjali M. R. Norouzi P. Khani H. Nayak A. Agarwal S. (2011 ). Electrochemical analysis of some toxic metals by ion-selective electrodes. Crit. Rev. Anal. Chem. 41 282–313.
Not in our library10.1080/10408347.2011.589773
- 79.
Hach (2020 ). 1,10-Phenanthroline, FerroZine, TPTZ and Titration Methods. Available online at: www.hach.com (accessed March 24, 2020).
Not in our library
- 80.
Haglund A. L. Törnblom E. Boström B. Tranvik L. (2002 ). Large differences in the fraction of active bacteria in plankton, sediments, and biofilm. Microb. Ecol. 43 232–241.
Not in our library10.1007/s00248-002-2005-0
- 81.
Hansen L. D. MacFarlane C. McKinnon N. Smith B. N. Criddle R. S. (2004 ). Use of calorespirometric ratios, heat per CO2 and heat per O2, to quantify metabolic paths and energetics of growing cells. Thermochim. Acta 422 55–61.
Not in our library10.1016/j.tca.2004.05.033
- 82.
Hatzenpichler R. Krukenberg V. Spietz R. L. Jay Z. J. (2020 ). Next-generation physiology approaches to study microbiome function at single cell level. Nat. Rev. Microbiol. 18 241–256.
Not in our library10.1038/s41579-020-0323-1
- 83.
- 84.
Hatzinger P. B. Palmer P. Smith R. L. Peñarrieta C. T. Yoshinari T. (2003 ). Applicability of tetrazolium salts for the measurement of respiratory activity and viability of groundwater bacteria. J. Microbiol. Methods 52 47–58.
Not in our library10.1016/s0167-7012(02)00132-x
- 85.
Heller L. C. Edelblute C. M. (2018 ). Long-term metabolic persistence of gram-positive bacteria on health care-relevant plastic. Am. J. Infect. Control 46 50–53.
Not in our library10.1016/j.ajic.2017.07.027
- 86.
Henderson B. Khodabakhsh A. Metsälä M. Ventrillard I. Schmidt F. M. Romanini D. (2018 ). Laser spectroscopy for breath analysis: towards clinical implementation. Appl. Phys. B 124:161.
Not in our library10.1007/s00340-018-7030-x
- 87.
Hirayama T. Nagasawa H. (2017 ). Chemical tools for detecting Fe ions. J. Clin. Biochem. Nutr. 60 39–48.
Not in our library10.3164/jcbn.16-70
- 88.
Hoefel D. Grooby W. L. Monis P. T. Andrews S. Saint C. P. (2003 ). Enumeration of water-borne bacteria using viability assays and flow cytometry: a comparison to culture-based techniques. J. Microbiol. Methods 55 585–597.
Not in our library10.1016/s0167-7012(03)00201-x
- 89.
Hopwood M. J. Birchill A. J. Gledhill M. Achterberg E. P. Klar J. K. Milne A. (2017 ). A Comparison between four analytical methods for the measurement of Fe(II) at nanomolar concentrations in coastal seawater. Front. Mar. Sci. 4:192
Not in our library10.3389/fmars.2017.00192
- 90.
Ito T. Okabe S. Satoh H. Watanabe Y. (2002 ). Successional development of sulfate-reducing bacterial populations and their activities in a wastewater biofilm growing under microaerophilic conditions. Appl. Environ. Microbiol. 68 1392–1402.
Not in our library10.1128/aem.68.3.1392-1402.2002
- 91.
Jehmlich N. Schmidt F. Taubert M. Seifert J. Bastida F. Von Bergen M. (2010 ). Protein-based stable isotope probing. Nat. Protoc. 5 1957–1966.
Not in our library10.1038/nprot.2010.166
- 92.
Jing X. Gou H. Gong Y. Su X. Xu L. Ji Y. (2018 ). Raman-activated cell sorting and metagenomic sequencing revealing carbon-fixing bacteria in the ocean. Environ. Microbiol. 20 2241–2255.
Not in our library10.1111/1462-2920.14268
- 93.
Jørgensen N. O. (1982 ). Heterotrophic assimilation and occurrence of dissolved free amino acids in a shallow estuary. Mar. Ecol. Prog. Ser. 8 145–159.
Not in our library
- 94.
Jørgensen N. O. (1987 ). Free amino acids in lakes: concentrations and assimilation rates in relation to phytoplankton and bacterial production 1. Limnol. Oceanogr. 32 97–111.
Not in our library
- 95.
Kanehira T. Hongo H. Takehara J. Asano K. Osada K. Izumi H. (2012 ). A novel visual test for hydrogen sulfide on the tongue dorsum. Open J. Stomatol. 2 314–321.
Not in our library10.4236/ojst.2012.24054
- 96.
Karakashev D. Galabova D. Simeonov I. (2003 ). A simple and rapid test for differentiation of aerobic from anaerobic bacteria. World J. Microbiol. Biotechnol. 19 233–238.
Not in our library10.1023/a:1023674315047
- 97.
Karl D. M. (1993 ). “Total microbial biomass estimation derived from the measurement of particulate adenosine-5‘-Triphosphate,” in Hand Book of Methods in Aquatic Microbial Ecology, eds Kemp P. Sherr B. Sherr E. Cole J. (Boca Raton, FL: Lewis Publishers), 359–368.
Not in our library10.1201/9780203752746-42
- 98.
Karl D. M. Holm-Hansen O. (1978 ). Methodology and measurement of adenylate energy charge ratios in environmental samples. Mar. Biol. 48 185–197.
Not in our library10.1007/bf00395018
- 99.
Katznelson R. (2004 ). “DQM Information Paper 3.1.1 Dissolved Oxygen Measurement Principles and Methods” in The Clean Water Team Guidance Compendium for Watershed Monitoring and Assessment. Version 2.0. Division of Water Quality, California State Water Resources Control Board (SWRCB), Sacramento, CA. Available online at: https://www.waterboards.ca.gov/water_issues/programs/swamp/docs/cwt/guidance/311.pdf (accessed August 10, 2020).
Not in our library
- 100.
Kemker C. (2014 ). “Measuring Dissolved Oxygen”. Fundamentals of Environmental Measurements. Available online at: http://www.fondriest.com/environmental- measurements/equipment/measuring-water-quality/dissolved-oxygen-sensors -and-methods/ (accessed August 10, 2020).
Not in our library
- 101.
Kern S. E. Price-Whelan A. Newman D. K. (2014 ). Extraction and measurement of NAD(P)+ and NAD(P)H. Methods Mol. Biol. 1149 311–323.
Not in our library10.1007/978-1-4939-0473-0_26
- 102.
Kiick K. L. Saxon E. Tirrell D. A. Bertozzi C. R. (2002 ). Incorporation of azides into recombinant proteins for chemoselective modification by the Staudinger ligation. Proc. Natl. Acad. Sci. U.S.A. 99 19–24.
Not in our library10.1073/pnas.012583299
- 103.
Kinniment S. L. Wimpenny J. W. T. (1992 ). Measurements of the distribution of adenylate concentrations and adenylate energy charge across Pseudomonas aeruginosa biofilms. Appl. Environ. Microbiol. 58 1629–1635.
Not in our library10.1128/aem.58.5.1629-1635.1992
- 104.
Klinke T. Kneist S. De Soet J. J. Kuhlisch E. Mauersberger S. Förster A. (2009 ). Acid production by oral strains of candida albicans and lactobacilli. Caries Res. 43 83–91.
Not in our library10.1159/000204911
- 105.
Kodaka H. Fukuda K. Mizuochi S. Horigome K. (1996 ). Adenosine triphosphate content of microorganisms related with food spoilage. Jpn. J. Food Microbiol. 13 29–34. 29507221
Not in our library10.5803/jsfm.13.29
- 106.
Kolmert Å Wikström P. Hallberg K. B. (2000 ). A fast and simple turbidimetric method for the determination of sulfate in sulfate-reducing bacterial cultures. J. Microbiol. Methods 41 179–184.
Not in our library10.1016/s0167-7012(00)00154-8
- 107.
Konhauser K. (2007 ). Introduction to Geomicrobiology. Singapore: Blackwell Publishing Ltd Oxford.
Not in our library
- 108.
Krišèiunaite T. Stulova I. Kabanova N. Laht T. M. Vilu R. (2011 ). The effect of hydrogen peroxide on the growth of thermophilic lactic starter and acid gelation of UHT milk. Int. Dairy J. 21 239–246.
Not in our library10.1016/j.idairyj.2010.11.012
- 109.
Krishna Y. O’Byrne S. (2016 ). Tunable diode laser absorption spectroscopy as a flow diagnostic Tool: a review. J. Indian Inst. Sci. 96 17–28.
Not in our library
- 110.
Kudrjashova M. Tahkoniemi H. Helmja K. Kaljurand M. (2004 ). Capillary electrophoretic monitoring of microbial growth: determination of organic acids/Mikroorganismide kasvu kapillaarelektroforeetiline seire: orgaaniliste hapete maaramine. Est. Acad. Sci. Chem. 53:51.
Not in our library
- 111.
Kuhl M. (2005 ). Optical microsensors for analysis of microbial communities. Methods Enzymol. 397 166–199.
Not in our library10.1016/s0076-6879(05)97010-9
- 112.
Kumar P. Tarafdar J. C. (2003 ). 2, 3, 5-Triphenyltetrazolium chloride (TTC) as electron acceptor of culturable soil bacteria, fungi and actinomycetes. Biol. Fertil. Soils 38 186–189.
Not in our library10.1007/s00374-003-0600-y
- 113.
- 114.
Landgraf P. Antileo E. R. Schuman E. M. Dieterich D. C. (2015 ). BONCAT: metabolic labeling, click chemistry, and affinity purification of newly synthesized proteomes. Methods Mol. Biol. 1266 199–215.
Not in our library10.1007/978-1-4939-2272-7_14
- 115.
Laurentin A. Edwards C. A. (2003 ). A microtiter modification of the anthrone-sulfuric acid colorimetric assay for glucose-based carbohydrates. Anal. Biochem. 315 143–145.
Not in our library10.1016/s0003-2697(02)00704-2
- 116.
Lawrence N. S. Davis J. Compton R. G. (2000 ). Analytical strategies for the detection of sulfide: a review. Talanta 52 771–784.
Not in our library10.1016/s0039-9140(00)00421-5
- 117.
Lee K. S. Palatinszky M. Pereira F. C. Nguyen J. Fernandez V. I. Mueller A. J. (2019 ). An automated Raman-based platform for the sorting of live cells by functional properties. Nat. Microbiol. 4 1035–1048.
Not in our library10.1038/s41564-019-0394-9
- 118.
Lee N. Nielsen P. H. Andreasen K. H. Juretschko S. Nielsen J. L. Schleifer K. H. (1999 ). Combination of fluorescent in situ hybridization and microautoradiography—a new tool for structure-function analyses in microbial ecology. Appl. Environ. Microbiol. 65 1289–1297.
Not in our library10.1128/aem.65.3.1289-1297.1999
- 119.
Lee Y. N. Colston M. J. (1986 ). The measurement of adenylate energy charge (AEC) in mycobacteria, including Mycobacterium leprae. FEMS Microbiol. Lett. 35 279–281.
Not in our library10.1111/j.1574-6968.1986.tb01543.x
- 120.
Lefebvre D. Gabriel V. Vayssier Y. Fontagné-Faucher C. (2002 ). Simultaneous HPLC determination of sugars, organic acids and ethanol in sourdough process. LWT Food Sci. Technol. 35 407–414.
Not in our library10.1006/fstl.2001.0859
- 121.
Leizeaga A. Estrany M. Forn I. Sebastián M. (2017 ). Using click-chemistry for visualizing in situ changes of translational activity in planktonic marine bacteria. Front. Microbiol. 8:2360.
Not in our library10.3389/fmicb.2017.02360
- 122.
Leyva A. Quintana A. Sánchez M. Rodríguez E. N. Cremata J. Sánchez J. C. (2008 ). Rapid and sensitive anthrone-sulfuric acid assay in microplate format to quantify carbohydrate in biopharmaceutical products: Method development and validation. Biologicals 36 134–141.
Not in our library10.1016/j.biologicals.2007.09.001
- 123.
Li M. Huang W. E. Gibson C. M. Fowler P. W. Jousset A. (2013 ). Stable isotope probing and Raman spectroscopy for monitoring carbon flow in a food chain and revealing metabolic pathway. Anal. Chem. 85 1642–1649.
Not in our library10.1021/ac302910x
- 124.
Liang L. Astruc D. (2011 ). The copper(I)-catalyzed alkyne-azide cycloaddition (CuAAC) “click” reaction and its applications. An overview. Coord. Chem. Rev. 255 2933–2945.
Not in our library10.1016/j.ccr.2011.06.028
- 125.
Liang Y. Lehmann A. Ballhausen M.-B. Muller L. Rillig M. C. (2019 ). Increasing temperature and microplastic fibers jointly influence soil aggregation by Saprobic Fungi. Front. Microbiol. 10:2018.
Not in our library10.3389/fmicb.2019.02018
- 126.
Liao Y. C. Huang T. W. Chen F. C. Charusanti P. Hong J. S. J. Chang H. Y. (2011 ). An experimentally validated genome-scale metabolic reconstruction of Klebsiella pneumoniae MGH 78578, iYL1228. J. Bacteriol. 193 1710–1717.
Not in our library10.1128/jb.01218-10
- 127.
List C. Hosseini Z. Lederballe Meibom K. Hatzimanikatis V. Bernier-Latmani R. (2019 ). Impact of iron reduction on the metabolism of Clostridium acetobutylicum. Environ. Microbiol. 21 3548–3563.
Not in our library10.1111/1462-2920.14640
- 128.
Liu D. (1983 ). Resazurin reduction method for activated sludge process control. Environ. Sci. Technol. 17 407–411.
Not in our library10.1021/es00113a009
- 129.
Long J. J. Luna E. K. Jackson M. Wheat W. Jahn C. E. Leach J. E. (2019 ). Interactions of free-living amoebae with the rice fungal pathogen, Rhizoctonia solani. BMC Res. Notes 12:746.
Not in our library10.1186/s13104-019-4802-2
- 130.
Lovley D. (1993 ). Dissimilatory metal reduction. Annu. Rev. Microbiol. 47 263–290.
Not in our library10.1146/annurev.micro.47.1.263
- 131.
Lundin A. Thore A. (1975 ). Comparison of methods for extraction of bacterial adenine nucleotides determined by firefly assay. Appl. Microbiol. 30 713–721.
Not in our library10.1128/am.30.5.713-721.1975
- 132.
Lyons M. M. Dobbs F. C. (2012 ). Differential utilization of carbon substrates by aggregate-associated and water-associated heterotrophic bacterial communities. Hydrobiologia 686 181–193.
Not in our library10.1007/s10750-012-1010-7
- 133.
Maerki S. Brun R. Charman S. A. Dorn A. Matile H. Wittlin S. (2006 ). In vitro assessment of the pharmacodynamic properties and the partitioning of OZ277/RBx-11160 in cultures of Plasmodium falciparum. J. Antimicrob. Chemother. 58 52–58.
Not in our library10.1093/jac/dkl209
- 134.
Mahu E. Moore-Hanaway J. Maurer B. Welschmeyer N. Coale K. H. (2018 ). The bulk fluorescein diacetate assay (FDA) as a technique for evaluating biotic impacts of crude oil to coastal sediments. Environ. Earth Sci. 77:751.
Not in our library
- 135.
Maldonado F. Packard T. T. Gómez M. (2012 ). Understanding tetrazolium reduction and the importance of substrates in measuring respiratory electron transport activity. J. Exp. Mar. Bio. Ecol. 434–435 110–118.
Not in our library10.1016/j.jembe.2012.08.010
- 136.
Marjanovic M. Gregory C. Ghosh P. Willis J. S. Dawson M. J. (1993 ). A comparison of effect of temperature on phosphorus metabolites, pH and Mg2+ in human and ground squirrel red cells. J. Physiol. 470 559–574.
Not in our library10.1113/jphysiol.1993.sp019875
- 137.
Markley J. L. Brüschweiler R. Edison A. S. Eghbalnia H. R. Powers R. Raftery D. (2017 ). The future of NMR-based metabolomics. Curr. Opin. Biotechnol. 43 34–40.
Not in our library10.1016/j.copbio.2016.08.001
- 138.
Martínez-García S. Fernández E. Aranguren-Gassis M. Teira E. (2009 ). In vivo electron transport system activity: a method to estimate respiration in natural marine microbial planktonic communities. Limnol. Oceanogr. Methods 7 459–469.
Not in our library10.4319/lom.2009.7.459
- 139.
Maskow T. Harms H. (2006 ). Real time insights into bioprocesses using calorimetry: State of the art and potential. Eng. Life Sci. 6 266–277.
Not in our library10.1002/elsc.200520123
- 140.
Maskow T. Kemp R. Buchholz F. Schubert T. Kiesel B. Harms H. (2010 ). What heat is telling us about microbial conversions in nature and technology: from chip- to megacalorimetry. Microb. Biotechnol. 3 269–284.
Not in our library10.1111/j.1751-7915.2009.00121.x
- 141.
McNicholl B. P. McGrath J. W. Quinn J. P. (2007 ). Development and application of a resazurin-based biomass activity test for activated sludge plant management. Water Res. 41 127–133.
Not in our library10.1016/j.watres.2006.10.002
- 142.
- 143.
Men A. E. Forrest S. Siemering K. (2011 ). Metagenomics and beyond: new toolboxes for microbial systematics. Microbiol. Aust. 32 86–89.
Not in our library10.1071/ma11086
- 144.
Morse E. E. (1947 ). Anthrone in Estimating Low Concentrations of Sucrose. Anal. Chem. 19 1012–1013.
Not in our library10.1021/ac60012a021
- 145.
Morse J. W. Rickard D. (2004 ). Chemical dynamics of sedimentary acid volatile sulfide. Environ. Sci. Technol. 38 131–136.
Not in our library10.1021/es040447y
- 146.
Mota M. C. Carvalho P. Ramalho J. Leite E. (1991 ). Spectrophotometric analysis of sodium fluorescein aqueous solutions. Determination of molar absorption coefficient. Int. Ophthalmol. 15 321–326.
Not in our library10.1007/bf00128951
- 147.
Neijssel O. M. Buurman E. T. de Mattos M. J. T. (1990 ). The role of futile cycles in the energetics of bacterial growth. Biochim Biophys Acta 1018 252–255.
Not in our library10.1016/0005-2728(90)90260-b
- 148.
Nescerecka A. Juhna T. Hammes F. (2016 ). Behavior and stability of adenosine triphosphate (ATP) during chlorine disinfection. Water Res. 101 490–497.
Not in our library10.1016/j.watres.2016.05.087
- 149.
Nielsen J. L. Christensen D. Kloppenborg M. Nielsen P. H. (2003a ). Quantification of cell-specific substrate uptake by probe-defined bacteria under in situ conditions by microautoradiography and fluorescence in situ hybridization. Environ. Microbiol. 5 202–211.
Not in our library10.1046/j.1462-2920.2003.00402.x
- 150.
Nielsen J. L. De Muro M. A. Nielsen P. H. (2003b ). Evaluation of the redox dye 5-cyano-2,3-tolyl-tetrazolium chloride for activity studies by simultaneous use of microautoradiography and fluorescence in situ hybridization. Appl. Environ. Microbiol. 69 641–643.
Not in our library10.1128/aem.69.1.641-643.2003
- 151.
Nielsen S. D. Volpi M. Löbmann K. Kjeldsen K. U. Røy H. (2017 ). Quantification of anaerobic thermophilic endospores in marine sediment by microcalorimetry, and its use in bioprospecting for gas and oil. Limnol. Oceanogr. Methods 15 519–530.
Not in our library10.1002/lom3.10176
- 152.
Nocker A. Caspers M. Esveld-Amanatidou A. van der Vossen J. Schuren F. Montijn R. (2011 ). Multiparameter viability assay for stress profiling applied to the food pathogen Listeria monocytogenes F2365. Appl. Environ. Microbiol. 77 6433–6440.
Not in our library10.1128/aem.00142-11
- 153.
Oliver N. S. Toumazou C. Cass A. E. G. Johnston D. G. (2009 ). Glucose sensors: a review of current and emerging technology. Diabet. Med. 26 197–210.
Not in our library10.1111/j.1464-5491.2008.02642.x
- 154.
Oren A. (1987 ). On the use of tetrazolium salts for the measurement of microbial activity in sediments. FEMS Microbiol. Lett. 45 127–133.
Not in our library10.1016/0378-1097(87)90009-7
- 155.
Oren A. (1995 ). The role of glycerol in the nutrition of halophilic archaeal communities: a study of respiratory electron transport. FEMS Microbiol. Ecol. 16 281–289.
Not in our library
- 156.
Oren A. (2008 ). “Metabolic diversity in prokaryotes and eukaryotes,” in Biological Science Fundamentals and Systematics, eds Minelli A. Contrafatto G. (Oxford: Eolss publishers), 1–28.
Not in our library
- 157.
Pace R. T. Burg K. J. L. (2013 ). Toxic effects of resazurin on cell cultures. Cytotechnology 67 13–17.
Not in our library10.1007/s10616-013-9664-1
- 158.
Pachmayr F. (1960 ). Vorkommen und Bestimmung yon Schwefelverbindungen in Mineralwasser. Ph.D. thesis University of Munchen, München.
Not in our library
- 159.
Pages A. Welsh D. T. Teasdale P. R. Grice K. Vacher M. Bennett W. W. (2014 ). Diel fluctuations in solute distributions and biogeochemical cycling in a hypersaline microbial mat from Shark Bay, WA. Mar. Chem. 167 102–112.
Not in our library10.1016/j.marchem.2014.05.003
- 160.
Patle P. N. Navnage N. P. Barange P. K. (2018 ). Fluorescein Diacetate (FDA): measure of total microbial activity and as indicator of soil quality. Int. J. Curr. Microbiol. Appl. Sci. 7 2103–2107.
Not in our library10.20546/ijcmas.2018.706.249
- 161.
Pérez M. T. Hörtnagl P. Sommaruga R. (2010 ). Contrasting ability to take up leucine and thymidine among freshwater bacterial groups: implications for bacterial production measurements. Environ. Microbiol. 12 74–82.
Not in our library10.1111/j.1462-2920.2009.02043.x
- 162.
Popovic M. (2019 ). Thermodynamic properties of microorganisms: determination and analysis of enthalpy, entropy, and Gibbs free energy of biomass, cells and colonies of 32 microorganism species. Heliyon 5:e01950.
Not in our library10.1016/j.heliyon.2019.e01950
- 163.
Posimo J. M. Unnithan A. S. Gleixner A. M. Choi H. J. Jiang Y. Pulugulla S. H. (2014 ). Viability assays for cells in culture. J. Vis. Exp. 83:e50645.
Not in our library10.3791/50645
- 164.
Prioli R. P. Tanna A. Brown I. N. (1985 ). Rapid methods for counting mycobaacteria—comparison of methods for extraction of mycobacterial adenosine triphosphate (ATP) determined by firefly luciferase assay. Tubercle 66 99–108.
Not in our library10.1016/0041-3879(85)90074-1
- 165.
Prosser J. A. Speir T. W. Stott D. E. (2011 ). Soil oxidoreductases and FDA hydrolysis. Methods Soil Enzymol. 9 103–124.
Not in our library
- 166.
Purich D. L. Allison R. D. (1999 ). Handbook of Biochemical Kinetics: A Guide to Dynamic Processes in the Molecular Life Sciences. Cambridge, MA: Academic Press.
Not in our library
- 167.
Qian H. Beard D. A. (2006 ). Metabolic futile cycles and their functions: a systems analysis of energy and control. IEE Proc. Syst. Biol. 153 192–200.
Not in our library10.1049/ip-syb:20050086
- 168.
Ramsdell G. A. Johnson W. M. T. Evans F. R. (1935 ). Investigation of resazurin as an indicator of the sanitary condition of milk. J. Dairy Sci. 18 705–717.
Not in our library10.3168/jds.s0022-0302(35)93193-9
- 169.
Reese B. K. Finneran D. W. Mills H. J. Zhu M. X. Morse J. W. (2011 ). Examination and refinement of the determination of aqueous hydrogen sulfide by the methylene blue method. Aquat. Geochem. 17 567–582.
Not in our library10.1007/s10498-011-9128-1
- 170.
Renger G. Hanssum B. (2009 ). Oxygen detection in biological systems. Photosynth. Res. 102 487–498.
Not in our library10.1007/s11120-009-9434-2
- 171.
Revsbech N. P. Jorgensen B. B. Blackburn T. H. Cohen Y. (1983 ). Microelectrode studies of the photosynthesis and O2, H2S, and pH profiles of a microbial mat. Limnol. Oceanogr. 28 1062–1074.
Not in our library10.4319/lo.1983.28.6.1062
- 172.
Rickard D. Morse J. W. (2005 ). Acid volatile sulfide (AVS). Mar. Chem. 97 141–197.
Not in our library10.1016/j.marchem.2005.08.004
- 173.
Riedel T. E. Berelson W. M. Nealson K. H. Finkel S. E. (2013 ). Oxygen consumption rates of bacteria under nutrient-limited conditions. Appl. Environ. Microbiol. 79 4921–4931.
Not in our library10.1128/aem.00756-13
- 174.
Robbins S. Jacob J. Lu X. Moran M. A. Mou X. (2011 ). Bromodeoxyuridine (BrdU) labeling and subsequent fluorescence activated cell sorting for culture-independent identification of dissolved organic carbon-degrading bacterioplankton. J. Vis. Exp. 55:2855.
Not in our library10.3791/2855
- 175.
Rodriguez D. Daniels A. U. Urrusti J. L. Wirz D. Braissant O. (2011 ). Evaluation of a low-cost calorimetric approach for rapid detection of tuberculosis and other mycobacteria in culture. J. Appl. Microbiol. 114 1016–1024.
Not in our library10.1111/j.1365-2672.2011.05117.x
- 176.
Rong X.-M. Huang Q.-Y. Jiang D.-H. Cai P. Liang W. (2007 ). Isothermal microcalorimetry: a review of applications in soil and environmental sciences. Pedosphere 17 137–145.
Not in our library10.1016/s1002-0160(07)60019-8
- 177.
Russel M. Yao J. Chen H. Wang F. Zhou Y. Choi M. M. F. (2009 ). Different technique of microcalorimetry and their applications to environmental sciences: a review. J. Am. Sci. 5 194–208.
Not in our library
- 178.
Russell J. B. Cook G. M. (1995 ). Energetics of bacterial growth: balance of anabolic and catabolic reactions. Microbiol. Rev. 59 48–62.
Not in our library10.1128/mmbr.59.1.48-62.1995
- 179.
Sánchez-Monedero M. A. Mondini C. Cayuela M. L. Roig A. Contin M. De Nobili M. (2008 ). Fluorescein diacetate hydrolysis, respiration and microbial biomass in freshly amended soils. Biol. Fertil. Soils 44 885–890.
Not in our library
- 180.
Saywell L. G. Cunningham B. B. (1937 ). Determination of iron: colorimetric o-phenanthroline method. Ind. Eng. Chem Anal. Ed. 9 67–69.
Not in our library10.1021/ac50106a005
- 181.
Schmitt D. M. O’Dee D. M. Cowan B. N. Birch J. W. M. Mazzella L. K. Nau G. J. (2013 ). The use of resazurin as a novel antimicrobial agent against Francisella tularensis. Front. Cell. Infect. Microbiol. 3:93.
Not in our library10.3389/fcimb.2013.00093
- 182.
Schneider D. A. Gourse R. L. (2004 ). Relationship between growth rate and ATP concentration in escherichia coli: a bioassay for available cellular ATP. J. Biol. Chem. 279 8262–8268.
Not in our library10.1074/jbc.m311996200
- 183.
Schnurer J. Rosswall T. (1982 ). Fluorescein diacetate hydrolysis as a measure of total microbial activity in soil and litter. Appl. Environ. Microbiol. 43 1256–1261.
Not in our library10.1128/aem.43.6.1256-1261.1982
- 184.
Scott T. A. Melvin E. H. (1953 ). Determination of Dextran with Anthrone. Anal. Chem. 25 1656–1661.
Not in our library10.1021/ac60083a023
- 185.
Servais P. Agogué H. Courties C. Joux F. Lebaron P. (2001 ). Are the actively respiring cells (CTC+) those responsible for bacterial production in aquatic environments? FEMS Microbiol. Ecol. 35 171–179.
Not in our library10.1016/s0168-6496(01)00089-7
- 186.
Setlow P. Johnson E. A. (2019 ). “Spores and their significance,” in Food Microbiology: Fundamentals and Frontiers, eds Doyle M. Buchanan R. (Washington, DC: ASM Press), 23–63.
Not in our library
- 187.
Shah-Simpson S. Pereira C. F. A. Dumoulin P. C. Caradonna K. L. Burleigh B. A. (2016 ). Bioenergetic profiling of Trypanosoma cruzi life stages using Seahorse extracellular flux technology. Mol. Biochem. Parasitol. 208 91–95.
Not in our library10.1016/j.molbiopara.2016.07.001
- 188.
Shao J. Huang Y. Dong L. Zhang Y. Tittel F. K. (2018 ). Automated rapid blood culture sensor system based on diode laser wavelength-modulation spectroscopy for microbial growth analysis. Sens. Actuators B Chem. 273 656–663.
Not in our library10.1016/j.snb.2018.06.093
- 189.
Shao J. Xiang J. Axner O. Ying C. (2016 ). Wavelength-modulated tunable diode-laser absorption spectrometry for real-time monitoring of microbial growth. Appl. Opt. 55:2339.
Not in our library10.1364/ao.55.002339
- 190.
Sherratt A. R. Rouleau Y. Luebbert C. Strmiskova M. Veres T. Bidawid S. (2017 ). Rapid screening and identification of living pathogenic organisms via optimized bioorthogonal non-canonical amino acid tagging. Cell Chem. Biol. 24:1048.
Not in our library10.1016/j.chembiol.2017.06.016
- 191.
Sigma Aldrich. (2009 ). Glucose Oxidase (GO) Assay Kit Technical Bulletin. Available online at: http://www.sigmaaldrich.com/catalog/product/sigma/gago20?lang=en®ion=US (accessed August 10, 2020).
Not in our library
- 192.
- 193.
Singer E. Wagner M. Woyke T. (2017 ). Capturing the genetic makeup of the active microbiome in situ. ISME J. 11 1949–1963.
Not in our library10.1038/ismej.2017.59
- 194.
Smith J. J. McFeters G. A. (1997 ). Mechanisms of INT (2-(4-iodophenyl)-3-(4-nitrophenyl)-5-phenyl tetrazolium chloride), and CTC (5-cyano-2, 3-ditolyl tetrazolium chloride) reduction in Escherichia coli K-12. J. Microbiol. Methods 29 161–175.
Not in our library10.1016/s0167-7012(97)00036-5
- 195.
Solokhina A. Brückner D. Bonkat G. Braissant O. (2017 ). Metabolic activity of mature biofilms of Mycobacterium tuberculosis and other non-tuberculous mycobacteria. Sci. Rep. 7:9225.
Not in our library10.1038/s41598-017-10019-4
- 196.
- 197.
Staal M. Prest E. I. Vrouwenvelder J. S. Rickelt L. F. Kühl M. (2011 ). A simple optode based method for imaging O2 distribution and dynamics in tap water biofilms. Water Res. 45 5027–5037.
Not in our library10.1016/j.watres.2011.07.007
- 198.
Stanley P. E. (1989 ). A review of bioluminescent ATP techniques in rapid microbiology. J. Biolumin. Chemilumin. 4 375–380.
Not in our library10.1002/bio.1170040151
- 199.
Stewart P. S. Franklin M. J. (2008 ). Physiological heterogeneity in biofilms. Nat. Rev. Microbiol. 6 199–210.
Not in our library10.1038/nrmicro1838
- 200.
Stitt D. T. Nagar M. S. Haq T. A. Timmins M. R. (2002 ). Determination of growth rate of microorganisms in broth from oxygen-sensitive fluorescence plate reader measurements. Biotechniques 684 686, 688–689.
Not in our library10.2144/02323dd06
- 201.
Stockert J. C. Horobin R. W. Colombo L. L. Blázquez-Castro A. (2018 ). Tetrazolium salts and formazan products in Cell Biology: viability assessment, fluorescence imaging, and labeling perspectives. Acta Histochem. 120 159–167.
Not in our library10.1016/j.acthis.2018.02.005
- 202.
Sun J. Zhang X. Broderick M. Fein H. (2003 ). Measurement of nitric oxide production in biological systems by using griess reaction assay. Sensors 3 276–284.
Not in our library10.3390/s30800276
- 203.
Sutherland M. W. Learmonth B. A. (1997 ). The tetrazolium dyes MTS and XTT provide new quantitative assays for superoxide and superoxide dismutase. Free Radic. Res. 27 283–289.
Not in our library10.3109/10715769709065766
- 204.
Takao S. (1965 ). Organic acid production by Basidiomycetes. I. Screening of acid-producing strains. Appl. Microbiol. 13 732–737.
Not in our library10.1128/am.13.5.732-737.1965
- 205.
Taubert M. Jehmlich N. Vogt C. Richnow H. H. Schmidt F. von Bergen M. (2011 ). Time resolved protein-based stable isotope probing (Protein-SIP) analysis allows quantification of induced proteins in substrate shift experiments. Proteomics 11 2265–2274.
Not in our library10.1002/pmic.201000788
- 206.
Tawakoli P. N. Al-Ahmad A. Hoth-Hannig W. Hannig M. Hannig C. (2013 ). Comparison of different live/dead stainings for detection and quantification of adherent microorganisms in the initial oral biofilm. Clin. Oral Investig. 17 841–850.
Not in our library10.1007/s00784-012-0792-3
- 207.
Taymaz-Nikerel H. Borujeni A. E. Verheijen P. J. T. Heijnen J. J. van Gulik W. M. (2010 ). Genome-derived minimal metabolic models for Escherichia coli MG1655 with estimated in vivo respiratory ATP stoichiometry. Biotechnol. Bioeng. 107 369–381.
Not in our library10.1002/bit.22802
- 208.
Tengberg A. Hovdenes J. Andersson H. J. Brocandel O. Diaz R. Hebert D. (2006 ). Evaluation of a lifetime-based optode to measure oxygen in aquatic systems. Limnol. Oceanogr. Methods 4 7–17.
Not in our library10.4319/lom.2006.4.7
- 209.
Thornton W. M. (1917 ). XV. The relation of oxygen to the heat of combustion of organic compounds. Lond. Edinb. Dubl. Philos. Mag. J. Sci. 33 196–203.
Not in our library10.1080/14786440208635627
- 210.
Trampuz A. Salzmann S. Antheaume J. Daniels A. U. (2007 ). Microcalorimetry: a novel method for detection of microbial contamination in platelet products. Transfusion 547 1643–1650.
Not in our library10.1111/j.1537-2995.2007.01336.x
- 211.
Trevelyan W. E. Forrest R. S. Harrison J. S. (1952 ). Determination of yeast carbohydrates with the anthrone reagent. Nature 170 626–627.
Not in our library10.1038/170626a0
- 212.
Trevors J. T. (1984 ). Dehydrogenase activity in soil: a comparison between the INT and TTC assay. Soil Biol. Biochem. 16 673–674.
Not in our library10.1016/0038-0717(84)90090-7
- 213.
Trifirò A. Saccani G. Gherardi S. Vicini E. Spotti E. Previdi M. P. (1997 ). Use of ion chromatography for monitoring microbial spoilage in the fruit juice industry. J. Chromatogr. A 770 243–252.
Not in our library10.1016/s0021-9673(97)00049-6
- 214.
Trüper H. G. Schlegel H. G. (1964 ). Sulphur metabolism in Thiorhodaceae I. Quantitative measurements on growing cells of Chromatium okenii. Antonie Van Leeuwenhoek 30 225–238.
Not in our library10.1007/bf02046728
- 215.
Tsangalis D. Shah N. P. (2004 ). Metabolism of oligosaccharides and aldehydes and production of organic acids in soymilk by probiotic bifidobacteria. Int. J. Food Sci. Technol. 39 541–554.
Not in our library10.1111/j.1365-2621.2004.00814.x
- 216.
Tschiersch H. Liebsch G. Stangelmayer A. Borisjuk L. Rolletschek H. (2011 ). “Planar oxygen sensors for non invasive imaging in experimental biology,” in Microsensors, ed. O. Minin (Rijeka: IntechOpen).
Not in our library10.5772/17893
- 217.
Tsikas D. (2007 ). Analysis of nitrite and nitrate in biological fluids by assays based on the Griess reaction: appraisal of the Griess reaction in the l-arginine/nitric oxide area of research. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 851 51–70.
Not in our library10.1016/j.jchromb.2006.07.054
- 218.
Tuominen L. (1995 ). Comparison of leucine uptake methods and a thymidine incorporation method for measuring bacterial activity in sediment. J. Microbiol. Methods 24 125–134.
Not in our library10.1016/0167-7012(95)00062-3
- 219.
Ullrich S. Karrasch B. Hoppe H. G. Jeskulke K. Mehrens M. (1996 ). Toxic effects on bacterial metabolism of the redox dye 5-cyano-2,3- ditolyl tetrazolium chloride. Appl. Environ. Microbiol. 62 4587–4593.
Not in our library10.1128/aem.62.12.4587-4593.1996
- 220.
Urbach E. Vergin K. L. Giovannoni S. J. (1999 ). Immunochemical detection and isolation of DNA from metabolically active bacteria. Appl. Environ. Microbiol. 65 1207–1213.
Not in our library10.1128/aem.65.3.1207-1213.1999
- 221.
Uroz S. Ioannidis P. Lengelle J. Cébron A. Morin E. Buée M. (2013 ). Functional assays and metagenomic analyses reveals differences between the microbial communities inhabiting the soil horizons of a norway spruce plantation. PLoS One 8:e55929.
Not in our library10.1371/journal.pone.0055929
- 222.
US EPA (1986 ). Method 9038 - Sulfate (Turbidimetric). Washington, DC: US EPA.
Not in our library
- 223.
van Herwaarden S. Iervolino E. (2014 ). “Calorimetry Measurement,” in Measurement, Instrumentation, and Sensors Handbook, 2nd Edn, eds Webster J. G. Eren H. (Boca Raton, FL: CRC Press Inc).
Not in our library10.1201/b15474-87
- 224.
Venkateswaran K. Hattori N. La Duc M. T. Kern R. (2003 ). ATP as a biomarker of viable microorganisms in clean-room facilities. J. Microbiol. Methods 52 367–377.
Not in our library10.1016/s0167-7012(02)00192-6
- 225.
Veskoukis A. S. Margaritelis N. V. Kyparos A. Paschalis V. Nikolaidis M. G. (2018 ). Spectrophotometric assays for measuring redox biomarkers in blood and tissues: the NADPH network. Redox Rep. 23 47–56.
Not in our library10.1080/13510002.2017.1392695
- 226.
Villegas-Mendoza J. Cajal-Medrano R. Maske H. (2015 ). INT (2-(4-Iodophenyl)-3-(4-Nitrophenyl)-5-(Phenyl) Tetrazolium Chloride) is toxic to prokaryote cells precluding its use with whole cells as a proxy for in vivo respiration. Microb. Ecol. 70 1004–1011.
Not in our library10.1007/s00248-015-0626-3
- 227.
Villegas-Mendoza J. Cajal-Medrano R. Maske H. (2019 ). The chemical transformation of the cellular toxin INT (2-(4-iodophenyl)-3-(4-nitrophenyl)-5-(phenyl) tetrazolium chloride) as an indicator of prior respiratory activity in aquatic bacteria. Int. J. Mol. Sci. 20:782.
Not in our library10.3390/ijms20030782
- 228.
Visscher P. T. Beukema J. van Gemerden H. (1991 ). In situ characterization of sediments: measurements of oxygen and sulfide profiles with a novel combined needle electrode. Limnol. Oceanogr. 36 1476–1480.
Not in our library10.4319/lo.1991.36.7.1476
- 229.
Von Bergen M. Jehmlich N. Taubert M. Vogt C. Bastida F. Herbst F. A. (2013 ). Insights from quantitative metaproteomics and protein-stable isotope probing into microbial ecology. ISME J. 7 1877–1885.
Not in our library10.1038/ismej.2013.78
- 230.
Von Stockar U. (2010 ). Biothermodynamics of live cells: a tool for biotechnology and biochemical engineering. J. Non Equilibrium Thermodyn. 35 415–475.
Not in our library10.1515/jnetdy.2010.024
- 231.
Von Stockar U. (2013 ). “Biothermodynamics of live cells: energy disipation and heat generation in cellular cultures,” in Biothermodynamics: The Role of Thermodynamics in Biochemical Engineering, eds von Stockar U. R. S. van der Wielen L. A. M. (New York, NY: EPFL Press), 380.
Not in our library
- 232.
von Stockar U. Gustafsson L. Larsson C. Marison I. Tissot P. Gnaiger E. (1993 ). Thermodynamic considerations in contructing energy balances for cellular growth. Biochim. Biophys. Acta 1183 221–240.
Not in our library10.1016/0005-2728(93)90225-5
- 233.
Wadsö I. (2002 ). Isothermal microcalorimetry in applied biology. Thermochim. Acta 394 305–311.
Not in our library10.1016/s0040-6031(02)00263-0
- 234.
Wadsö L. Hansen L. D. (2015 ). Calorespirometry of terrestrial organisms and ecosystems. Methods 76 11–19.
Not in our library10.1016/j.ymeth.2014.10.024
- 235.
Wagner T. C. Scott M. D. (1994 ). Single extraction method for the spectrophotometric quantification of oxidized and reduced pyridine nucleotides in erythrocytes. Anal. Biochem. 222 417–426.
Not in our library10.1006/abio.1994.1511
- 236.
Wang S. Lin K. Chen N. Yuan D. Ma J. (2016 ). Automated determination of nitrate plus nitrite in aqueous samples with flow injection analysis using vanadium (III) chloride as reductant. Talanta 146 744–748.
Not in our library10.1016/j.talanta.2015.06.031
- 237.
Wang S. Yu H. Wickliffe J. K. (2011 ). Limitation of the MTT and XTT assays for measuring cell viability due to superoxide formation induced by nano-scale TiO 2. Toxicol. In Vitro 25 2147–2151.
Not in our library10.1016/j.tiv.2011.07.007
- 238.
Wang Y. Huang W. E. Cui L. Wagner M. (2016 ). Single cell stable isotope probing in microbiology using Raman microspectroscopy. Curr. Opin. Biotechnol. 41 34–42.
Not in our library10.1016/j.copbio.2016.04.018
- 239.
Wang Y. Ji Y. Wharfe E. S. Meadows R. S. March P. Goodacre R. (2013 ). Raman activated cell ejection for isolation of single cells. Anal. Chem. 85 10697–10701.
Not in our library10.1021/ac403107p
- 240.
Wang Z. Chen Z. Gao N. Ren J. Qu X. (2015 ). Transmutation of personal glucose meters into portable and highly sensitive microbial pathogen detection platform. Small 11 4970–4975.
Not in our library10.1002/smll.201500944
- 241.
Webster J. A. J. Hampton G. J. Leach F. R. (1984 ). ATP in soil: a new extractant and extraction procedure. Soil Biol. Biochem. 16 335–342.
Not in our library10.1016/0038-0717(84)90028-2
- 242.
Wieder R. K. Yavitt J. B. Gasda C. E. Starr S. T. Williams C. J. (1998 ). Tetrazolium reduction in acidic Sphagnum-derived peat. Wetlands 18 79–83.
Not in our library10.1007/bf03161445
- 243.
Winkler L. W. (1888 ). Die Bestimmung des im Wasser gelösten Sauerstoffes. Berichte der Dtsch. Chem. Gesellschaft 21 2843–2854.
Not in our library10.1002/cber.188802102122
- 244.
Wojtczak M. Antczak A. Przybyt M. (2010 ). Use of ionic chromatography in determining the contamination of apple juice by lactic acid. Food Addit. Contam. Part A Chem. Anal. Control. Expo. Risk Assess. 27 817–824.
Not in our library10.1080/19440041003664143
- 245.
Wong H. L. Smith D. L. Visscher P. T. Burns B. P. (2015 ). Niche differentiation of bacterial communities at a millimeter scale in Shark Bay microbial mats. Sci. Rep. 5:15607.
Not in our library10.1038/srep15607
- 246.
- 247.
Yuan B. C. Li Z. Z. Liu H. Gao M. Zhang Y. Y. (2007 ). Microbial biomass and activity in salt affected soils under arid conditions. Appl. Soil Ecol. 35 319–328.
Not in our library
- 248.
Zang X. Monge M. E. Fernández F. M. (2019 ). Mass spectrometry-based non-targeted metabolic profiling for disease detection: recent developments. TrAC Trends Anal. Chem. 118 158–169.
Not in our library10.1016/j.trac.2019.05.030
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