代谢组学
主成分分析
OPL公司
生物标志物发现
生物
生物标志物
偏最小二乘回归
化学
生物信息学
蛋白质组学
数学
生物化学
统计
氢键
有机化学
分子
基因
作者
Xiaoliu Liu,Can Zhong,Jing Xie,Hao Liu,Zhenni Xie,Shuihan Zhang,Jian Jin
出处
期刊:Food Chemistry
[Elsevier]
日期:2023-03-06
卷期号:417: 135817-135817
被引量:10
标识
DOI:10.1016/j.foodchem.2023.135817
摘要
The edible values of P. cocos from different origins vary significantly, therefore, it is important to investigate the traceability of geographical regions and identify the geographical biomarkers of P. cocos. The metabolites of P. cocos of the different geographical origins were assessed using liquid chromatography tandem-mass spectrometry, principal component analysis and orthogonal partial least-squares discriminant analysis (OPLS-DA). The OPLS-DA could clearly discriminate the metabolites of P. cocos from the three cultivation regions (YN, Yunnan; AH, Anhui; JZ, Hunan). Finally, three carbohydrates, four amino acids, and four triterpenoids were selected as biomarkers for P. cocos origin tracing. Correlation matrix analysis revealed that the contents of biomarkers were closely related to geographical origin. Altitude, temperature, and soil fertility were the main factors responsible for the differences in biomarker profiles in P. cocos. The metabolomics approach provides an effective strategy for tracing and identifying the biomarkers of P. cocos from different geographical origins.
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