Agricultural University of Athens, Athens, Greece.
J Agric Food Chem. 2009 Dec 9;57(23):11067-74. doi: 10.1021/jf902137e.
A sensitive and simple method was developed for the classification of wines according to variety, geographical origin, and vintage using NMR-based metabonomics. Polyphenol-rich extracts were prepared from 67 varietal wines from the principal wine-producing regions of Greece, using adsorption resin XAD-4. 1D (1)H NMR spectra obtained from the corresponding extracts were segmented, integrated, and normalized, and the data were subjected to principal component analysis. The chemometric classification of wines according to their phenolic profile allows discrimination between wines from different wineries of the same wine-producing zone and between different vintages for wines of the same variety.
采用基于 NMR 的代谢组学方法，建立了一种灵敏而简单的方法，可根据品种、产地和年份对葡萄酒进行分类。使用吸附树脂 XAD-4 从希腊主要葡萄酒产区的 67 种品种葡萄酒中提取富含多酚的提取物。对相应提取物的 1H NMR 谱进行分段、积分和归一化，并对数据进行主成分分析。根据酚类特征对葡萄酒进行化学计量分类，可以区分来自同一葡萄酒产区不同酿酒厂的葡萄酒，以及同一品种不同年份的葡萄酒。
