Prediction and Comparison of Models for Soluble Solids Content Determination in ‘Ya’ Pears Using Optical Properties and Diffuse Reflectance in 900–1700 nm Spectral Region

The basic optical properties of fruit tissues are significant and helpful to be known when they are utilized for internal quality detection. The integrating sphere (IS) system was established to measure diffuse reflectance spectra (R') of peel-flesh layer, absorption coefficient (μ_α) and reduced scattering coefficient (μ'_s) of flesh layer of `Ya' pear tissues using inverse adding-doubling (IAD) method in 900-1700 nm. Aiming at studying the relationship between soluble solids content (SSC) and optical properties (μ_α and μ'_s), partial least square (PLS) regression was employed to establish calibration models based on three wavelength regions. Results showed that better correlations were found using reflectance and μ_α spectra than using scattering ones with full wavelengths in 900-1350 nm. Moreover, reflectance spectra (r_p = 0.8911, RMSEP = 0.4965 °Brix) with 27 effective wavelength (EWs) and μ_α spectra (r_p = 0.8641, RMSEP = 0.5506 °Brix) with 14 EWs both performed satisfactory results using competitive adaptive reweighted sampling (CARS). Good result (r_p = 0.8856, RMSEP = 0.5081 °Brix) could also be found by the combination of reflectance and μ_α spectra with 38 EWs. Results of independent validation test showed that EWs of μ_α spectra was more promising in pear SSC prediction even though the model stability was not as good as these obtained by reflectance. Therefore, more research needs to be done to improve the stability and accuracy of the IS system. This study illustrated the availability for multiple index quality attributes detection of fruit tissues by detecting reflectance and optical properties information using IS system.

Abstract licence: CC BY-NC-ND

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