A Novel Chiral Amino Acid-Based Methodology for Authenticity and Origin Determination of Chinese Wines

IF 2.6 Q2 FOOD SCIENCE & TECHNOLOGY ACS food science & technology Pub Date : 2024-10-30 DOI:10.1021/acsfoodscitech.4c0054710.1021/acsfoodscitech.4c00547

Xin Tong, Xijian Wu, Xing Zhang, Limin Zhang, Shaohua Huang* and Zhen Wu*,

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Abstract

In this study, we established a novel chiral metabolomic methodology for determining the authenticity and geographical origin of grape wines. We investigated the metabolites present in Chinese grape wine samples using high-performance liquid chromatography coupled with 1-fluoro-2,4-dinitrophenyl-5-l-alanine amide (FDAA) and o-phthaldialdehyde (OPA), respectively. The data were analyzed using principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA), respectively. We identified 11 amino acids in the OPA mode and 18 amino acids in the FDAA mode, serving as discriminative markers for the wine samples. The chiral FDAA mode demonstrated an enhanced degree of separation among various group samples compared to the nonchiral OPA mode, leading to superior classification outcomes. This study underscores the efficacy of the chiral FDAA mode in achieving optimal separation for different wine types, grape varieties, and geographical regions.

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基于手性氨基酸的中国葡萄酒真伪和原产地鉴定新方法

在这项研究中，我们建立了一种新型手性代谢组学方法，用于确定葡萄葡萄酒的真实性和地理来源。我们分别使用 1-氟-2,4-二硝基苯-5-丙氨酸酰胺（FDAA）和邻苯二甲醛（OPA）进行高效液相色谱分析，研究了中国葡萄葡萄酒样品中的代谢物。数据分别采用主成分分析法（PCA）和正交偏最小二乘判别分析法（OPLS-DA）进行分析。我们在 OPA 模式下鉴定出 11 种氨基酸，在 FDAA 模式下鉴定出 18 种氨基酸，作为葡萄酒样品的鉴别标记。与非手性 OPA 模式相比，手性 FDAA 模式在不同组别样品中的分离度更高，因此分类结果更优。这项研究强调了手性 FDAA 模式在实现不同葡萄酒类型、葡萄品种和地理区域的最佳分离方面的功效。

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来源期刊

ACS food science & technology

CiteScore

3.30

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0.00%

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