文献类型：期刊文献

英文题名：Differentiation of Chinese rice wine(Huangjiu) from different aging status based on HS-SPME-GC-MS combined with near infrared

作者：Xie, Guangfa[1];Xie, Junhao[2];Qian, Dongsheng[3];Wang, Lan[4];Sun, Guochang[5];Mao, Qingzhong[5];Yu, Zhifang[5];Hu, Mengsha[5];Peng, Qi[2]

机构：[1]Zhejiang Shuren Univ, Coll Biol & Environm Engn, Key Lab Pollut Exposure & Hlth Intervent Zhejiang, Hangzhou 310015, Zhejiang, Peoples R China;[2]Shaoxing Univ, Natl Engn Res Ctr Chinese CRW, Branch Ctr, Sch Life & Environm Sci, 900 Chengnan Rd, Shaoxing 312000, Zhejiang, Peoples R China;[3]Shaoxing Testing Inst Qual & Tech Supervis, 8 Huagong St, Shaoxing 312366, Peoples R China;[4]China Shaoxing Yellow Rice Wine Grp Co Ltd, Zhejiang Shaoxing Huangjiu Ind Innovat Serv Comple, Shaoxing 312000, Zhejiang, Peoples R China;[5]Kuaijishan Shaoxing Rice Wine Co Ltd, Shaoxing 312000, Zhejiang, Peoples R China

年份：2025

卷号：29

外文期刊名：FOOD CHEMISTRY-X

收录：SCI-EXPANDED(收录号：WOS:001521830100002)、、EI(收录号：20252618670934)、Scopus(收录号：2-s2.0-105008907757)、WOS

基金：This work was supported by the Zhejiang Shaoxing Huangjiu Industry Innovation Service Complex-Technological Innovation Project in Zhejiang Province (No.2023KJ082) .

语种：英文

外文关键词：HS-SPME-GC-MS; Chinese rice wine; Near-infrared; Chinese rice wine aging process; Principal component analysis

外文摘要：This study investigates the crucial task of determining the aging state of Huangjiu, which is vital for its commercial and scientific significance due to the development of sensory characteristics during aging. Focused on Huangjiu from Guyue Longshan winery, China's top producer, the analysis employed a near-infrared spectrometer and gas chromatography-mass spectrometry coupled with headspace-solid phase microextraction. Stoichiometric analysis interpreted the data, enabling prediction and classification of samples aged for 1, 5, 8, 10, and 20 years. Principal component analysis (PCA) and metabolite screening revealed systematic differences among the samples. Factor analysis and partial least squares regression analysis constructed a sublibrary model with an identification accuracy exceeding 95 %, PLS model's R2 surpassing 98 %, and RPD exceeding 5, facilitating precise sample year identification. These findings enhance understanding of the Huangjiu aging process and provide crucial technical support for maintaining the quality of Shaoxing Huangjiu, a product protected by geographical indication.