Wine characterisation according to geographical origin using analysis of mineral elements and rainfall correlation of oxygen isotope values

• DOI: 10.1111/ijfs.15236
• Publication Date: 2021-07-02T06:36:40Z
• Authors: Yingyue Su; Yan Zhao; Kexu Cui; Fei Wang; Jinjie Zhang; Ang Zhang
• Keywords: Isotope-ratio mass spectrometry

Summary The wine industry has developed rapidly; however, fraud is a potential risk for consumers. In China, methods detecting authenticity are far from perfect. To reduce the of counterfeit wines, Inductively Coupled Plasma‐Mass Spectrometry and Isotope Ratio Mass were used to geographically classify 104 wines four major production areas. this paper, naturally distributed characteristics thirty‐eight mineral elements contents effect rainfall on oxygen isotope values in investigated. result δ 18 O ranged −13‰ 7‰. water Northwest China obviously more positive than that South China. Linear discriminant analysis (LDA) showed 88.5% classification accuracy training set 81.7% cross‐validation result. An artificial neural network (ANN) model determined origin with higher LDA model. Furthermore, Sr/Rb important recognition ANN, region can reach 90.9%. Thus, ratios effective contributing control origin.