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Annual Review of Food Science and Technology

Volume 16, 2025

Recent Advances in Nontargeted Screening of Chemical Hazards in Foodstuffs

  • Yang Wang1, Boyan Gao2, Yuanyuan Li1, Changzhi Shi3, Hui Li4, Zecang You3, Mingliang Fang3, Chenxu Wang2, Xiaojun Deng1 and Bing Shao1,4
  • 1Shanghai Institute of Doping Analyses, Shanghai University of Sport, Shanghai, China; email: [email protected], [email protected] 2School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China 3Department of Environmental Science and Engineering, Fudan University, Shanghai, China 4Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing, China
  • Vol. 16:195-218 (Volume publication date April 2025)
  • First published as a Review in Advance on January 16, 2025
  • Copyright © 2025 by the author(s).
    This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See credit lines of images or other third-party material in this article for license information.

Abstract

The emergence of several chemical substances continues to enrich and facilitate the development of food science, but their irrational use also poses a threat to food safety and human health. Nontargeted screening (NTS) has become an important tool for rapid traceability and efficient identification of chemical hazards in food matrices. NTS in food analysis is highly integrated with sample pretreatment, instrumental analysis platforms, data acquisition and analysis, and toxicology. This article is a systemic review of current sample preparation, analytical platforms, and toxicity-guided NTS techniques and provides the latest advancements in workflows and innovative applications of the NTS process based on mass spectrometric techniques. High-throughput toxicity screening platforms play an important role in NTS of unknown chemical hazards of complex food matrices. Advanced machine learning and artificial intelligence are increasingly accessible fields that may effectively process large-scale screening data and advance food NTS research.

Keyword(s): chemical hazards, data analysis, HRMS, NTS, sample preparation
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2025-04-28
2025-06-16
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/content/journals/10.1146/annurev-food-111523-121908
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Recent Advances in Nontargeted Screening of Chemical Hazards in Foodstuffs
Annual Review of Food Science and Technology 16, 195 (2025); https://doi.org/10.1146/annurev-food-111523-121908
/content/journals/10.1146/annurev-food-111523-121908
/content/journals/10.1146/annurev-food-111523-121908
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