Literature DB >> 35691070

Fingerprinting based on gas chromatography-Orbitrap high-resolution mass spectrometry and chemometrics to reveal geographical origin, processing, and volatile markers for thyme authentication.

Araceli Rivera-Pérez1, Roberto Romero-González2, Antonia Garrido Frenich3.   

Abstract

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.
Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Food authenticity; Gas chromatography; High-resolution mass spectrometry; Multivariate data analysis; Untargeted metabolomics; Volatiles

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Year:  2022        PMID: 35691070     DOI: 10.1016/j.foodchem.2022.133377

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  1 in total

1.  Quantification of Chemical Groups and Quantitative HPLC Fingerprint of Poria cocos (Schw.) Wolf.

Authors:  Yu Yang; Xing-Lin Huang; Zhong-Min Jiang; Xue-Fang Li; Yan Qi; Jie Yu; Xing-Xin Yang; Mei Zhang
Journal:  Molecules       Date:  2022-09-27       Impact factor: 4.927

  1 in total

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