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Discrimination of Wine Attributes by Metabolome Analysis

机译:通过代谢组学分析区分葡萄酒属性

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摘要

The chemical composition of any wine sample containsnnumerous small molecules largely derived from threendifferent sources: the grape berry, the yeast strain usednfor fermentation, and the containers used for wine makingnand storage. The combined sum of these small moleculesnpresent in the wine, therefore, might account for all winenspecific features such as cultivar, vintage, origin, andnquality. Still, most wine authentication procedures relyneither on subjective human measures or if they are basednon measurable features, they include a limited numbernof compounds. In this study, which is based on annuntargeted UPLC-FT-ICR-MS-based approach, we providendata, demonstrating that unbiased and objective analyticalnchemistry in combination with multivariate statisticalnmethods allows to reproducible classify/distinguish winenattributes like variety, origin, vintage, and quality.
机译:任何葡萄酒样品的化学成分都包含大量的小分子,这些小分子主要来自三种不同的来源:葡萄浆果,用于发酵的酵母菌株以及用于酿酒和储酒的容器。因此,葡萄酒中存在的这些小分子的总和可能解释了葡萄酒的所有特定特征,例如品种,年份,起源和品质。尽管如此,大多数葡萄酒认证程序还是不依靠主观的人为手段,或者如果它们基于不可测量的特征,则它们包括有限数量的化合物。在这项基于非靶向UPLC-FT-ICR-MS的方法的研究中,我们提供了数据,证明了无偏客观的分析化学与多元统计方法的结合可实现可重现的分类/区分酒的属性,如品种,产地,年份和质量。

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