食品科学2018，Vol.39Issue(2)：281-286,6.DOI:10.7506/spkx1002-6630-201802044
白酒基酒中典型醇的近红外预测模型构建
Prediction Model for Typical Alcohols in Base Liquor Based on Near Infrared Spectroscopy
摘要
Abstract
In this paper,the contents of n-propanol,n-butanol,amyl alcohol and isoamyl alcohol in base liquor were determined by gas chromatography and used as chemical values for the establishment of calibration and validation sets for a rapid predictive model based on near infrared spectroscopy (NIR) to measure typical alcohols in base liquor.The model was developed using partial least squares (PLS) regression with internal cross validation and optimized.The optimal spectral pretreatment method and the optimal spectral region were determined.The coefficients of determination (R2) between the actual and the NIR predicted values of n-propanol,n-butanol,amyl alcohol and isoamyl alcohol for the calibration set were 0.952,0.981,0.963 and 0.981,and the root mean square error of cross-validation (RMSECV) were 0.27,0.49,0.101 and 0.67 mg/100 mL,respectively;the R2 Values for the validation set were 0.947,0.980,0.928 and 0.952,and RMSEPs were 0.40,0.81,0.49 and 1.35 mg/100 mL,respectively.Results showed that the predictive model exhibited good accuracy,stability and prediction performance and could provide a new approach for the analysis of alcohols in base liquor.关键词
近红外光谱/白酒基酒/典型醇/偏最小二乘法Key words
near infrared spectroscopy/base liquor/typical alcohols/partial least squares分类
轻工纺织引用本文复制引用
刘建学,杨国迪,韩四海,李璇,李佩艳,徐宝成..白酒基酒中典型醇的近红外预测模型构建[J].食品科学,2018,39(2):281-286,6.基金项目
国家自然科学基金面上项目(31471658) （31471658）
河南省重点科技攻关项目(152102110025) （152102110025）
