Univ. Bordeaux, ISVV, EA 4577, USC 1366 INRA, Unité de Recherche Œnologie, 210 chemin de Leysotte, F-33882 Villenave d'Ornon, France.
Service Commun des Laboratoires, 3 avenue du Dr. Albert Schweitzer, 33600 Pessac, France.
Food Chem. 2019 Dec 15;301:125257. doi: 10.1016/j.foodchem.2019.125257. Epub 2019 Jul 25.
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 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.
q-NMR 代谢组学已经证明了其在对不同地理起源、葡萄品种或年份的葡萄酒进行分类方面的潜力。本研究专注于波尔多红葡萄酒的特征描述，旨在将其与其他主要法国葡萄酒产区生产的葡萄酒区分开来。通过 1 H NMR 对 224 种商业法国葡萄酒进行了采样分析，并对 40 种化合物进行了定量分析。非监督和监督统计分析显示，与其他法国葡萄酒相比，波尔多葡萄酒具有独特的特征，分类率从 71%到 100%不等。在波尔多葡萄园里，我们从不同年份分析了来自不同波尔多分区的红葡萄酒。我们的结果表明，q-NMR 代谢组学可以区分梅多克和利布尔讷葡萄园，并突出最具区分性的成分。此外，还指出并讨论了葡萄酒在瓶中陈酿和年份对波尔多红葡萄酒的影响。
