Due to the impact of geographical location and climate, wines from different regions have different qualities. The sale of inferior wines in a region seriously violates the fair-trade rights of consumers. This paper establishes an elemental analysis classification method for verifying the geographical origin of wines in China. Inductively coupled plasma mass spectrometry (ICP-MS), liquid chromatography isotope ratio mass spectrometry (LC-IRMS), and an isotope ratio mass spectrometer (IRMS) were used to analyze 142 wine samples collected from Helan Mountain, Xinjiang, Yunchuanzang, the Yanhuai Valley, and the Hexi Corridor in China. The data included elemental profiles, carbon isotope ratios ( δ 13 C), and oxygen isotope ratios ( δ 18 O). The results of multivariate analysis show that the geographical origin of wine is closely related to variations in elemental profiles and isotope ratios. Introducing δ 18 O and the elements Li, Mn, Ag, In, Th, Ta, and Re into the discriminant model yielded correct classification rates of the linear discriminant model (LDA) of were 90.8% for the training set and 87.3% for the test set.

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