Mapping the Origins of Chinese Grape Wine: Unlocking Geographical Regions Through Chemometrics, Stable Isotopes, and Multielement Analysis
文献类型： 外文期刊
作者： Tian, Ling 1 ; Zheng, Siheng 2 ; Zhou, Henggang 2 ; Yang, Ying 3 ; Lu, Hai 4 ;
作者机构： 1.Shenzhen Polytech Univ, Sch Management, Shenzhen 518055, Peoples R China
2.Huangpu Customs Tech Ctr, Guangdong Prov Key Lab Intelligent Port Secur Insp, Guangzhou 510730, Peoples R China
3.Guangxi Acad Agr Sci, Nanning 530007, Peoples R China
4.Natl Inst Metrol, Div Chem Metrol & Anal Sci, Beijing 100029, Peoples R China
关键词： Chinese wine regions; elemental profiles; isotope ratios; machine learning
期刊名称：JOURNAL OF FOOD QUALITY （ 影响因子：2.9； 五年影响因子：3.5 ）
ISSN： 0146-9428
年卷期： 2025 年 2025 卷 1 期
页码：
收录情况： SCI
摘要： Developing a robust and reliable geographical origin discrimination model, unaffected by grape varieties, wine types, or the scale and distance of the wine-growing area, is essential for the sustainable growth of China's wine industry. A total of 967 wine samples were collected from 10 original regions in China, and 27 elemental profiles and two stable isotope ratios were determined by ICP-MS and IRMS, respectively. PCA was used to evaluate the contributions of 29 regional markers in classifying the geographical regions of Chinese wine. Six chemometric methods were employed, including PCA, PLS-DA, RF, ANN, SVM, and R-Part, to verify the regions and subregions of Chinese wine. This study successfully proposed advanced simultaneous classification models for original regions and subregions of Chinese wine using multielements and stable ratios combined with random forest (100% accuracy) for the first time.
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