To achieve the rapid detection of alcohols in Jiangxiangxing Baijiu base liquor, this study established 6 quantitative models of alcohols by near-infrared spectroscopy(NIRS) combined with partial least squares regression (PLSR), with gas chromatography as the reference method.The characteristic bands of each substance were screened by interval partial least squares, and the optimal pretreatments were selected from 12 methods (alone or in combination).The optimized models of methanol, n-propanol, n-butanol, secbutanol, isobutanol, and isoamyl alcohol were good, which R2Cal (determination coefficient of calibration set) all reach 0.8, with 0.907 7, 0.993 7, 0.802 7, 0.970 2, 0.932 9, and 0.958 1, respectively.External validation was executed, which standard error of prediction (SEP) were 0.022 3, 0.541 9, 0.024 0, 0.064 3, 0.007 8, and 0.026 1, respectively, and the ratio of standard deviation of the validation set to standard error of prediction (RPD) were 3.15, 6.99, 2.12, 2.75, 3.12, and 4.20, respectively.The results showed that the NIRS combined with PLSR method could rapidly determine the content of methanol, n-propanol, n-butanol, secbutanol, isobutanol, and isoamyl alcohol with good accuracy, robustness, and predictive performance, which provides a basis for the application of online NIR in intelligent brewing.
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