文献类型：期刊文献

英文题名：Differentiation of Chinese Rice Wine(Huangjiu) from Different Ageing 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] Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, College of Biology and Environmental Engineering, Zhejiang Shuren University, Zhejiang, Hangzhou, 310015, China; [2] National Engineering Research Center for Chinese CRW [Branch Center], School of Life and Environmental Sciences, Shaoxing University, 900 Chengnan Road, Zhejiang, Shaoxing, 312000, China; [3] Shaoxing Testing Institute of Quality and Technical Supervision, Town of Lihai, No.8 Huagong Street, Shaoxing, Shangyu, 312366, China; [4] Zhejiang Shaoxing Huangjiu Industry Innovation Service Complex, China Shaoxing Yellow Rice Wine Group Co., Ltd., Zhejiang, Shaoxing, 312000, China; [5] Kuaijishan Shaoxing Rice Wine Co., Ltd, Zhejiang, Shaoxing, 312000, China

年份：2025

外文期刊名：SSRN

收录：EI(收录号：20250111747)

语种：英文

外文关键词：Infrared spectrometers - Mass spectrometers - Metabolites - Near infrared spectroscopy - Regression analysis - Wine

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. ? 2025, The Authors. All rights reserved.