化学计量学
轨道轨道
可追溯性
质谱法
气相色谱-质谱法
指纹(计算)
代谢组学
气相色谱法
色谱法
化学
数学
人工智能
计算机科学
统计
作者
Araceli Rivera-Pérez,Roberto Romero‐González,Antonia Garrido Frenich
出处
期刊:Food Chemistry
[Elsevier]
日期:2022-06-02
卷期号:393: 133377-133377
被引量:40
标识
DOI:10.1016/j.foodchem.2022.133377
摘要
Thyme is an aromatic herb traditionally used for food purposes due to its organoleptic characteristics and medicinal properties, which is highly susceptible to food fraud. In this study, GC-HRMS-based fingerprinting was applied for the first time to determine the geographical traceability of thyme based on different origins (Spain, Poland, and Morocco), as well as to assess its processing by comparing sterilized vs. non-sterilized thyme. Unsupervised chemometric methods (PCA and HCA) revealed a predominant influence of the geographical origin on thyme fingerprints rather than processing effects. Supervised PLS-DA and OPLS-DA were used for discrimination purposes, revealing high predictive ability for further samples (100%), and allowing the identification of differential compounds (markers). A total of 24 markers were putatively identified (13 metabolites were confirmed) belonging to different classes: monoterpenoids, diterpenoids, sesquiterpenoids, alkenylbenzenes, and other miscellaneous compounds. This study outlines the potential of combining untargeted analysis by GC-HRMS with chemometrics for thyme authenticity and traceability.
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