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Food and Fermentation Industries    2022, Vol. 48 Issue (20) : 265-271     DOI: 10.13995/j.cnki.11-1802/ts.030579
Discriminant analysis of wines from different regions of China based on mineral elements
LI Caihong, KAI Jianrong, YAN Yue, GE Qian, WANG Fang, ZHANG Jing, YANG Chunxia, WANG Caiyan*
(Ningxia Research Institute of Quality Standards and Testing Technology of Agricultural Products, Yinchuan 750002, China)
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Abstract  By analyzing the differences of mineral element contents in wines from different producing areas in China, combined with stoichiometry, the effective traceability indexes were screened out, and a wine origin discrimination model was constructed. In this study, 72 Cabernet Sauvignon wine samples were collected from six producing areas, including East Helan Mountain Area, Shacheng, Qingxu, Wuwei, Bohai Bay and Yunnan Plateau. The contents of 58 mineral elements such as Ag, Al and As were determined using microwave digestion-inductively coupled plasma mass spectrometry. Combined with analysis of variance (ANOVA), principal component analysis (PCA) and Fisher discriminant analysis, an origin traceability model of wines was constructed. The contents of 35 mineral elements out of 58 in wines were significantly different in different producing areas. Through PCA, 14 principal components were extracted from 58 mineral elements, representing 85.351% information of the total indexes. The discrimination model based on Fisher discriminant analysis was constructed. The overall rates of correct discrimination of back substitution test and cross test were 98.6% and 84.7%, respectively, which can basically discriminate wines from different producing areas. This study proves that the mineral element traceability technique can be used to discriminate the origin of wines.
Keywords wine      mineral element      origin      discriminant analysis      model     
Issue Date: 18 November 2022
URL:     OR
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