文献类型：期刊文献

英文题名：Rapid detection of adulteration of glutinous rice as raw material of Shaoxing Huangjiu (Chinese Rice Wine) by near infrared spectroscopy combined with chemometrics

作者：Peng, Qi[1];Chen, Jialing[1];Meng, Kai[1];Zheng, Huajun[1];Chen, Guangqian[1];Xu, Xin[1];Lin, Zichen[1];Xie, Guangfa[2,3]

机构：[1]Shaoxing Univ, Natl Engn Res Ctr Chinese Huangjiu, branch Ctr, Shaoxing 312000, Zhejiang, Peoples R China;[2]Zhejiang Shuren Univ, Coll Biol & Environm Engn, Hangzhou 310015, Zhejiang, Peoples R China;[3]Zhejiang Shuren Univ, Hangzhou 310015, Zhejiang, Peoples R China

年份：2022

卷号：111

外文期刊名：JOURNAL OF FOOD COMPOSITION AND ANALYSIS

收录：SCI-EXPANDED(收录号：WOS:000806756000006)、、Scopus(收录号：2-s2.0-85129700250)、WOS

基金：This work was supported by the Foundation of Public Projects of Zhejiang Province, China (No. LGN22C200008); National Training Program for College Students' Innovation and Entrepreneurship Project (No. 202110349031); Scientific and Technological Innovation Activity Plan of College Students in Zhejiang Province (Xinmiao Talents Scheme) (No. 2021R432010); Program Foundation of Public Projects of Shaoxing city, Zhejiang Province, China (No. 2018C30010); Foundation of Public Projects of Zhejiang Province, China (No. 2017C32101); Shaoxing University Fund (No. 08021066).

语种：英文

外文关键词：Glutinous rice; Huangjiu; NIR; Chemometrics; Adulterate

外文摘要：As an important raw material for Chinese Huangjiu brewing, high-quality glutinous rice is often adulterated for economic purposes. In this study, near infrared (NIR) spectrometer combined with chemometrics was used to quickly detect the adulteration of glutinous rice (AR) as the raw material of Shaoxing Huangjiu brewing. The samples of high-quality glutinous rice (HR) from Zhejiang Guyuelongshan Shaoxing Wine Co., Ltd. were mixed with different varieties and brands of rice at different incorporation ratios (0-100%). NIR spectra of HR and AR were combined with factor analysis (FA) and partial least squares (PLS) regression to identify adulteration. The discrimination accuracy of the sub-library model constructed by FA was greater than 89% (S>1). The prediction coefficient of PLS model (R2) was greater than 98%, and the prediction root mean square error (RMSEP) was less than 4.3%. NIR spectroscopy combined with chemometrics to quickly identify the adulteration of high-quality glutinous rice will provide effective technical support for the product quality supervision of Shaoxing Huangjiu, a geographical indication protection product.