Revealing quality chemicals of Tetrastigma hemsleyanum roots in different geographical origins using untargeted metabolomics and random-forest based spectrum-effect analysis

小桶 代谢组学 类黄酮 计算生物学 代谢途径 生物 随机森林 基因 抗氧化剂 生物信息学 生物化学 计算机科学 基因本体论 机器学习 基因表达
作者
Chu Chu,Yangbin Lv,Xingda Yao,Hongwei Ye,Chenyue Li,Xin Peng,Zhiwei Gao,Keji Mao
出处
期刊:Food Chemistry [Elsevier BV]
卷期号:449: 139207-139207 被引量:6
标识
DOI:10.1016/j.foodchem.2024.139207
摘要

Tetrastigma hemsleyanum root is a popular functional food in China, and the price varies based on the origin of the product. The link between the origin, metabolic profile, and bioactivity of T. hemsleyanum must be investigated. This study compares the metabolic profiles of 254 samples collected from eight different areas with 49 potential key chemical markers using plant metabolomics. The metabolic pathways of the five critical flavonoid metabolites were annotated and enriched using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. Moreover, a random forest model aiding the spectrum-effect relationship analysis was developed for the first time indicating catechin and darendoside B as potential quality markers of antioxidant activity. The findings of this study provide a comprehensive understanding of the chemical composition and bioactive compounds of T. hemsleyanum as well as valuable information on the evaluation of the quality of various samples and products in the market.
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