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~1H NMR metabolomics applied to Bordeaux red wines

机译:应用于波尔多红酒的〜1H NMR代谢组学

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摘要

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-1 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 Medoc 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.
机译:q-NMR代谢组学已经证明了其对不同地理来源,葡萄品种或年份的葡萄酒进行分类的潜力。这项研究的重点是波尔多红酒的特性,试图将其与法国主要葡萄酒产区的其他红酒区分开。通过H-1 NMR对224种法国商业葡萄酒进行了采样分析,定量了40种化合物。非监督和监督统计分析显示,波尔多葡萄酒与其他法国葡萄酒相比,有着独特的烙印,分类率范围为71%至100%。在波尔多葡萄园中,对来自不同波尔多细分市场的红酒进行了不同年份的分析。我们的结果表明,q-NMR代谢组学能够区分梅多克和利布尔奈葡萄园,从而突出了最有区别的成分。此外,还指出并讨论了葡萄酒在瓶装陈年和陈酿过程中的演变对波尔多红葡萄酒的影响。

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