Abstract
Terahertz (THz) spectroscopy was used to evaluate peroxide value (PV) of peanut oils during storage. Genetic algorithm (GA) and principal component analysis (PCA) were used as the pretreatment methods to reduce THz high-dimensional data. Interval partial least square (iPLS), back propagation neural network (BPNN), support vector regression (SVR), and partial least squares regression (PLSR) were compared to obtain the best quantitative prediction model. The optimal absorbance spectral region related to peanut oils oxidation was found from 1.1749 to 1.5030 THz by iPLS method. In all chemometric methods used, PCA-SVR showed the best quantitative correlation between absorbance spectra and PV, with the correlation coefficient in prediction set (RP) was 0.9289 and root-mean-square error (RMSEP) was 1.6648 meq O2/kg, respectively. It can be concluded that THz spectroscopy with chemometric methods was an effective tool for rapid determination of PV of peanut oils.
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This study is supported by the National Key Research and Development Plan of China (2017YFC1600603), the Key Science & Technology Specific Projects of Anhui Province (18030701200, 202003a06020022), the Anhui Natural Science Foundation (2008085MC96), and the Fundamental Research Funds for the Central Universities (JZ2019YYPY0027).
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Wei Liu declares that she has no conflict of interest. Pengguang Zhao declares that he has no conflict of interest. Yule Shi declares that he has no conflict of interest. Changhong Liu declares that she has no conflict of interest. Lei Zheng declares that he has no conflict of interest.
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Liu, W., Zhao, P., Shi, Y. et al. Rapid Determination of Peroxide Value of Peanut Oils During Storage Based on Terahertz Spectroscopy. Food Anal. Methods 14, 1269–1277 (2021). https://doi.org/10.1007/s12161-020-01957-3
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DOI: https://doi.org/10.1007/s12161-020-01957-3