The objective of this research was to distinguish Vietnamese wines based on their geographical origin using chemistry and chemometric methods. Forty wine samples from Vietnam, France and Italy were collected and analyzed. The multi-element determination ability of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was used to analyze 20 elements in wine samples. Principal Component Analysis (PCA) was used for exploratory analysis and Linear Discriminant Analysis (LDA) was used for geographical classification of wine samples. The result of PCA explained 85.86% of the total variance contribution. LDA achieved 100% accuracy in correctly classifying all wine samples in both the training and cross-validation sets according to their geographical origin using nine elements (As, Li, Be, Ti, V, Cr, Mo, Cd, and Tl). The outcomes emphasize that the combination of ICP-MS with PCA and LDA offers a reliable technique to validate the geographical origin of wine samples, particularly for distinguish Vietnamese wines form French and Italian wines.
Khuat et al. (Wed,) studied this question.