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Development of a Wine Metabolomics Approach for the Authenticity Assessment of Selected Greek Red Wines

机译:开发选定希腊红葡萄酒的真实性评估葡萄酒代谢组合方法

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摘要

Wine metabolomics constitutes a powerful discipline towards wine authenticity assessment through the simultaneous exploration of multiple classes of compounds in the wine matrix. Over the last decades, wines from autochthonous Greek grape varieties have become increasingly popular among wine connoisseurs, attracting great interest for their authentication and chemical characterization. In this work, 46 red wine samples from Agiorgitiko and Xinomavro grape varieties were collected from wineries in two important winemaking regions of Greece during two consecutive vintages and analyzed using ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QToF-MS). A targeted metabolomics methodology was developed, including the determination and quantification of 28 phenolic compounds from different classes (hydroxycinnamic acids, hydroxybenzoic acids, stilbenes and flavonoids). Moreover, 86 compounds were detected and tentatively identified via a robust suspect screening workflow using an in-house database of 420 wine related compounds. Supervised chemometric techniques were employed to build an accurate and robust model to discriminate between two varieties.
机译:通过同时探索葡萄酒基质中的多种化合物,葡萄酒代谢组织对葡萄酒真实性评估构成了一个强大的纪律。在过去的几十年中,葡萄酒中的葡萄酒在葡萄酒鉴赏家中越来越受欢迎,吸引了对其认证和化学表征的巨大兴趣。在这项工作中,在两次连续的葡萄酒中,从葡萄酒酿酒厂收集来自葡萄酒和XinoMavro葡萄品种的46个红葡萄酒样本,并在两次连续的葡萄酒中使用超高效液相色谱 - 四极血管飞行时间质谱法(UHPLC-)分析QTOF-MS)。开发了有针对性的代谢组合方法,包括来自不同类别(羟基氨基酸,羟基苯甲酸,斯蒂芬和黄酮)的28个酚类化合物的测定和定量。此外,使用420个葡萄酒相关化合物的内部数据库,通过稳健的可疑筛选工作流程检测和暂时识别86种化合物。采用监督化学计量技术来构建精确且鲁棒的模型,以区分两个品种。

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