Consonni Roberto, Cagliani Laura Ruth, Guantieri Valeria, Simonato Barbara
Istituto per lo Studio delle Macromolecole, Lab. NMR, CNR, v. Bassini 15, 20133 Milano, Italy.
Istituto per lo Studio delle Macromolecole, Lab. NMR, CNR, v. Bassini 15, 20133 Milano, Italy.
Food Chem. 2011 Nov 15;129(2):693-699. doi: 10.1016/j.foodchem.2011.05.008. Epub 2011 May 8.
The metabolic characterisation of food and beverages nowadays has been largely employed in combination with multivariate data analysis. In this work, the valuable Amarone "Passito" dry red wine produced in Verona area (Italy) was investigated in order to find a possible correlation between metabolic content and vintage/ageing process. A total number of 46 wine samples from 11 different winemakers, three different vintages and ageing process were investigated without sample preparation. H NMR spectra were analysed in combination with principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) protocols to investigate vintage and ageing effects on samples differentiation based on the metabolic content. The results indicated amino acids, sugars, and aromatic compounds the most relevant discriminant variables for Amarone wine samples.
如今,食品和饮料的代谢特征分析在很大程度上与多变量数据分析相结合。在这项研究中,对意大利维罗纳地区生产的珍贵的阿玛罗尼“帕西托”干红葡萄酒进行了调查,以寻找代谢成分与年份/陈酿过程之间可能存在的相关性。对来自11个不同酿酒商、三个不同年份和陈酿过程的总共46个葡萄酒样品进行了调查,无需样品制备。结合主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)方法对1H NMR光谱进行分析,以研究年份和陈酿对基于代谢成分的样品区分的影响。结果表明,氨基酸、糖类和芳香化合物是阿玛罗尼葡萄酒样品中最相关的判别变量。