1H NMR metabolomics applied to Bordeaux red wines. (15th December 2019)

• Record Type: Journal Article
• Authors: Gougeon, Louis; da Costa, Gregory; Guyon, François; Richard, Tristan
• Is Part Of: Food chemistry. Volume 301(2019)
• Publication Date: 2019-12-15
• Subjects: Wine classification -- Red wines -- Bordeaux wines -- q-NMR -- Multivariate statistics; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2019.125257
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: 224 French red wines were analysed by 1 H NMR and 40 metabolites were quantified. Non-supervised and supervised statistical analyses were performed. Classification of wines from six French Protected Designation of Origin were obtained. Classification of Bordeaux subdivisions was investigated. The effects of aging were pointed out and discussed. Abstract: The q-NMR metabolomics has already demonstrated its potential for classifying wines of different geographical origins, grape varieties, or vintages. This study focuses on the characterisation of Bordeaux red wines, seeking to discriminate them from others produced in the major French wine regions. A sampling of 224 commercial French wines was analysed by 1 H NMR and forty compounds were quantified. Non-supervised and supervised statistical analyses revealed a singular imprint of Bordeaux wines in comparison with other French wines, with classification rates ranging from 71% to 100%. Within the Bordeaux vineyards, red wines from the different Bordeaux subdivisions were analysed from different vintages. Our results indicate that q-NMR metabolomics enables the differentiation of Médoc and Libournais vineyard highlighting the most discriminant constituents. In addition, the effects of wine evolution during bottle aging and vintage on Bordeaux red wines were pointed out and discussed.