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Cited by 394

The DOI matches its Crossref record; 172 of the 172 references it cites were found in a registry or an index.

Recent advances in the application of metabolomics for food safety control and food quality analyses

Li, Shubo, Tian, Yufeng, Jiang, Pingyingzi, Lin, Ying, Liu, Xiaoling, Yang, Hongshun·2021·Critical Reviews in Food Science and Nutrition

Abstract

As one of the omics fields, metabolomics has unique advantages in facilitating the understanding of physiological and pathological activities in biology, physiology, pathology, and food science. In this review, based on developments in analytical chemistry tools, cheminformatics, and bioinformatics methods, we highlight the current applications of metabolomics in food safety, food authenticity and quality, and food traceability. Additionally, the combined use of metabolomics with other omics techniques for "foodomics" is comprehensively described. Finally, the latest developments and advances, practical challenges and limitations, and requirements related to the application of metabolomics are critically discussed, providing new insight into the application of metabolomics in food analysis.

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Metadata

Authors
Li, S., Tian, Y., Jiang, P., Lin, Y., Liu, X., & Yang, H.
Venue
Critical Reviews in Food Science and Nutrition
Published
2020-05-22
Volume
61
Issue
9
Pages
1448-1469
ISSN
  • 1040-8398 (ISSN-L)
  • 1549-7852
OpenAlex
W3028278747
Cited by
394
References
172
FWCI
13.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent advances in the application of metabolomics for food safety control and food quality analyses. https://app.cochat.ai/papers/10.1080/10408398.2020.1761287
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Li, S., Tian, Y., Jiang, P., Lin, Y., Liu, X., & Yang, H. (2021). Recent advances in the application of metabolomics for food safety control and food quality analyses. Critical Reviews in Food Science and Nutrition. https://doi.org/10.1080/10408398.2020.1761287

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.