Literature DB >> 35347871

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

Peng Zhong1, Xiaoqun Wei1, Xiangmei Li1, Xiaoyi Wei1, Shaozong Wu1, Weijuan Huang1, Anastasios Koidis2, Zhenlin Xu1, Hongtao Lei1,3.   

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.
© 2022 Institute of Food Technologists®.

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Keywords:  authentication; food; fraud; liquid chromatography; marker; mass spectrometry; metabolomics

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Year:  2022        PMID: 35347871     DOI: 10.1111/1541-4337.12938

Source DB:  PubMed          Journal:  Compr Rev Food Sci Food Saf        ISSN: 1541-4337            Impact factor:   12.811


  1 in total

1.  Identification of the major photodegradant in metronidazole by LC-PDA-MS and its reveal in compendial methods.

Authors:  Mei-Ling Chen; Hong-Xia Xu; Wei-Feng Yuan; Sui-Hong Zhao; Xue Li; Lan-Xin Zhu; Zong-Yong Shen; Yu-Jing Liu; Ming-Juan Wang; Ang Ma; Jos Hoogmartens; Erwin Adams
Journal:  Sci Rep       Date:  2022-07-08       Impact factor: 4.996

  1 in total

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