Journal
COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
Volume 21, Issue 3, Pages 2455-2488Publisher
WILEY
DOI: 10.1111/1541-4337.12938
Keywords
authentication; food; fraud; liquid chromatography; marker; mass spectrometry; metabolomics
Categories
Funding
- Ministry of Science and Technology of the People's Republic of China [2017YFC1601700]
- National Natural Science Foundationof China [31871883, U1301214]
- Department of Science and Technology of Guangdong Province [2019041]
- Department of Agriculture and Rural Affairs of Guangdong Province [2021KJ130, LNSYSZX001]
Ask authors/readers for more resources
Food fraud is a growing global concern, and untargeted metabolomics by LC-MS is a promising method for discovering metabolic markers in food authentication. This review summarizes the workflow, applications, advantages, limitations, and future needs of untargeted metabolomics by LC-MS in identifying metabolic markers in food authentication.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available