Untargeted metabolomics by liquid chromatography‐mass spectrometry for food authentication: A review

Peng Zhong, Xiaoqun Wei, Xiangmei Li, Xiaoyi Wei, Shaozong Wu, Weijuan Huang, Anastasios Koidis, Zhenlin Xu, Hongtao Lei

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)
260 Downloads (Pure)

Abstract

Food fraud is currently a growing global concern with far-reaching consequences. Food authenticity attributes, including biological identity, geographical origin, agricultural production, and processing technology, are susceptible to food fraud. Metabolic markers and their corresponding authentication methods are considered as a promising choice for food authentication. However, few metabolic markers were available to develop robust analytical methods for food authentication in routine control. Untargeted metabolomics by liquid chromatography-mass spectrometry (LC-MS) is increasingly used to discover metabolic markers. This review summarizes the general workflow, recent applications, advantages, advances, limitations, and future needs of untargeted metabolomics by LC-MS for identifying metabolic markers in food authentication. In conclusion, untargeted metabolomics by LC-MS shows great efficiency to discover the metabolic markers for the authenticity assessment of biological identity, geographical origin, agricultural production, processing technology, freshness, cause of animals’ death, and so on, through three main steps, namely, data acquisition, biomarker discovery, and biomarker validation. The application prospects of the selected markers by untargeted metabolomics require to be valued, and the selected markers need to be eventually applicable at targeted analysis assessing the authenticity of unknown food samples.
Original languageEnglish
JournalComprehensive Reviews in Food Science and Food Safety
Early online date29 Mar 2022
DOIs
Publication statusEarly online date - 29 Mar 2022

Keywords

  • Food Science

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