Multivariate discrimination of wines with respect to their grape varieties and vintages

摘要: The primary focus of the European Union funded project entitled “Establishing a WINE Data Bank for analytical parameters wines from Third Countries” (WINE-DB project, G6RD-CT-2001-00646-WINE-DB) was discrimination wine samples with respect to their geographical origin using only few chemical parameters. Taking step further, we have investigated possibility discriminating in data bank according harvesting seasons and grape varieties. Several chemometric methods were carefully selected evaluated this purpose. These discriminant partial least squares, classification regression trees, uninformative variable elimination squares neuro-fuzzy systems. With it possible identify including isotopic ratios (e.g. δ18O), biogenic amines rare earth elements that discriminate between vintages some varieties produced particular country such as Czech Republic, Hungary, Romania or South Africa. can be used evaluating authenticity wines.