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Use of FI-IR and Miniature Fiber Optic Spectrometers in Measurements of Soluble Solids Content of Pear Juice

机译:Fi-IR和微型光纤光谱仪在梨汁可溶性固体含量的测量中

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The objective of this research was to measure soluble solids content (SSC) of pear juice using FT-NIR and USB4000 spectrometer, also the results ofFT-NIR and USB4000 spectra were compared. The absorption spectra of 228 pear juice samples were collected by FT-NIR spectrometer with wavelength range of 660-1100 nm and USB4000 spectrometer with wavelength range of 345-1040 nm. The partial least squares regression (PLSR) combined with four spectral pre-processing methods and stepwise multiple linear regression (SMLR) were used to develop calibration models. The results show that both FT-NIR spectra and USB4000 spectra are suitable for assessing SSC of pear juice, and FT-NIR spectra is better than USB4000 spectra to measure SSC of pear juice. The coefficients of determination (R2), root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP) for FT-NIR spectra and USB4000 spectra are 0.97, 0.141, 0.167, and 0.85, 0.325, 0.370, respectively. SMLR using sensitive wavelengths for FT-NIR spectra also obtains acceptable results.
机译:本研究的目的是使用FT-NIR和USB4000光谱仪测量梨汁的可溶性固体含量(SSC),结果越过NIR和USB4000光谱。通过FT-NIR光谱仪收集228梨汁样品的吸收光谱,波长范围为660-1100nm和USB4000光谱仪,波长范围为345-1040nm。部分最小二乘回归(PLSR)与四个光谱预处理方法和逐步多次线性回归(SMLR)组合用于开发校准模型。结果表明,FT-NIR光谱和USB4000光谱都适用于评估梨汁的SSC,FT-NIR光谱优于USB4000光谱,以测量梨汁的SSC。用于FT-NIR光谱和USB4000光谱的预测(RMSEC),校准(R​​MSEC)和校准(RMSEC)的根均方误差的系数,分别为0.97,0.141,0.167和0.85,0.325,0.370 。 SMLR使用用于FT-NIR光谱的敏感波长也获得可接受的结果。

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