UHPLC-QTOF-MS-based untargeted metabolomic authentication of Chinese red wines according to their grape varieties

葡萄酒 代谢组学 化学 食品科学 小桶 代谢物分析 代谢物 色谱法 生物化学 基因表达 转录组 基因
作者
Xiaoli Yin,Zhi-Xin Peng,Yuan Pan,Yi Lv,Wanjun Long,Hui‐Wen Gu,Haiyan Fu,Yuanbin She
出处
期刊:Food Research International [Elsevier BV]
卷期号:178: 113923-113923 被引量:8
标识
DOI:10.1016/j.foodres.2023.113923
摘要

Wine is a very popular alcoholic drink owing to its health benefits of antioxidant effects. However, profits-driven frauds of wine especially false declarations of variety frequently occurred in markets. In this work, an UHPLC-QTOF-MS-based untargeted metabolomics method was developed for metabolite profiling of 119 bottles of Chinese red wines from four varieties (Cabernet Sauvignon, Merlot, Cabernet Gernischt, and Pinot Noir). The metabolites of red wines from different varieties were assessed using orthogonal partial least-squares discriminant analysis (OPLS-DA) and analyzed using KEGG metabolic pathway analysis. Results showed that the differential compounds among different varieties of red wines are mainly flavonoids, phenols, indoles and amino acids. The KEGG metabolic pathway analysis showed that indoles metabolism and flavonoids metabolism are closely related to wine varieties. Based on the differential compounds, OPLS-DA models could identify external validation wine samples with a total correct rate of 90.9 % in positive ionization mode and 100 % in negative ionization mode. This study indicated that the developed untargeted metabolomics method based on UHPLC-QTOF-MS is a potential tool to identify the varieties of Chinese red wines.
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