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Liquid chromatography-mass spectrometry for the determination of chemical contaminants in food

Open access
Hird, Simon J., Lau, Benjamin P.-Y., Schuhmacher, Rainer, Krska, Rudolf·2014·TrAC Trends in Analytical Chemistry

Abstract

As a result of the range and the variety of toxic and undesirable substances in food, which pose a potential hazard to human health, there is an ever-increasing demand for analytical methods that can reliably detect and quantify contaminants and residues in foods. This review presents the state-of-the-art technology used in the determination of trace residues and contaminants in food by liquid chromatography-mass spectrometry (LC-MS). LC-MS instruments utilize many different types of mass analyzer to improve selectivity and also confidence in assigning the identity of the contaminants detected and to offer different approaches to analysis. We discuss current analytical approaches together with the major benefits and the limitations of these technologies with respect to screening, quantification and identification of contaminants and residues in food.

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Metadata

Authors
Hird, S. J., Lau, B. P.-Y., Schuhmacher, R., & Krska, R.
Venue
TrAC Trends in Analytical Chemistry
Publisher
Elsevier BV
Published
2014-07
Volume
59
Pages
59-72
ISSN
0165-9936 (ISSN-L)
OpenAlex
W2077364744
Cited by
203
References
2
FWCI
27.76
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Liquid chromatography-mass spectrometry for the determination of chemical contaminants in food. https://app.cochat.ai/papers/10.1016/j.trac.2014.04.005
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Hird, S. J., Lau, B. P.-Y., Schuhmacher, R., & Krska, R. (2014). Liquid chromatography-mass spectrometry for the determination of chemical contaminants in food. TrAC Trends in Analytical Chemistry. https://doi.org/10.1016/j.trac.2014.04.005

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