Department of Analytical Chemistry, University of Barcelona. Martí i Franquès, 1-11, E-08028 Barcelona, Spain.
Food Chem. 2012 Dec 1;135(3):1425-31. doi: 10.1016/j.foodchem.2012.06.010. Epub 2012 Jun 15.
Chromatographic profiles of wines have been used as a fingerprint for the discrimination of Spanish wines based on oenological practices. In order to extract information of different families of phenolic compounds, profiles of different UV-vis absorption wavelengths (280, 310, 370 and 520nm) and fluorescence (ex=260nm; em=360nm) were analysed. A total of thirteen phenolic compounds which allowed the discrimination of wines of three different Spanish appellations (Penedes, Rioja and Ribera del Duero) were selected by means of principal component analysis (PCA). Afterwards, these compounds were used to build partial least squares discriminant analysis (PLS1-DA and PLS2-DA) models which allowed the discrimination of wines according to their appellation with classification rates for independent test sets higher than 96% and 93% for PLS1-DA and PLS2-DA models respectively. Finally, characteristic compounds of each appellation were tentatively identified by means of liquid chromatography-mass spectrometry (LC-MS) analysis. Thus, ten out of thirteen compounds (i.e., gallic acid for Penedes, trans-coumaroyltartaric and trans-caffeoyltartaric acids for Rioja and myricetin for Ribera del Duero wines) have been proposed.
葡萄酒的色谱特征已被用作鉴别西班牙葡萄酒的指纹,这些葡萄酒是基于酿造工艺的不同。为了提取不同类别的酚类化合物的信息,分析了不同的紫外-可见吸收波长(280、310、370 和 520nm)和荧光(激发=260nm;发射=360nm)的图谱。通过主成分分析(PCA),选择了 13 种酚类化合物,这些化合物能够区分来自三个不同西班牙产区(佩内德斯、里奥哈和里贝拉德尔杜罗)的葡萄酒。然后,这些化合物被用于构建偏最小二乘判别分析(PLS1-DA 和 PLS2-DA)模型,这些模型能够根据产区对葡萄酒进行鉴别,独立测试集的分类准确率分别为 PLS1-DA 和 PLS2-DA 模型的 96%和 93%以上。最后,通过液相色谱-质谱(LC-MS)分析,对各产区的特征化合物进行了初步鉴定。因此,提出了十种化合物(即佩内德斯的没食子酸、里奥哈的反式肉桂酰基酒石酸和反式咖啡酰基酒石酸以及里贝拉德尔杜罗的杨梅素)。