Determination of Chemical Mixtures in Environmental, Food, and Human Samples Using High-Resolution Mass Spectrometry-Based Suspect Screening Approaches

Chemical contaminants are widely dispersed in the environment in all its dimensions, posing significant public health problems. Comprehensive knowledge of these stressors is a prerequisite for assessing the associated risk and implementing public policy measures to reduce the level of population exposure. Nontargeted suspect screening approaches broaden the knowledge of the chemical human exposome. We developed and used a suspect screening method based on large spectral libraries. Chemical profiling was based on a combined LC- and GC-HRMS approach. The methodology was applied to 16 samples spanning the environment, food, and health continuum. Using a combination of matching and scoring data, a total of 547 compounds were likely identified, from which the chemical structure of 63 molecules was confirmed to the highest level of certainty. Wastewater, and more generally environmental samples, had the highest number of chemicals detected, while fish samples had a lower number. Pharmaceuticals, pesticides, and personal care product-related compounds were found to be the most common compounds in and between the extracts, particularly in water and serum samples. Many natural and endogenous compounds were consistently annotated in the samples submitted for analysis, regardless of the compartment investigated.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-09-28
DOI
https://doi.org/10.1021/acs.est.4c12608
Citations
1
Primary Topic
Pesticide Residue Analysis and Safety
Type
article
Field-Weighted Citation Impact
1.16
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article

Determination of Chemical Mixtures in Environmental, Food, and Human Samples Using High-Resolution Mass Spectrometry-Based Suspect Screening Approaches

María Margalef, Bruno Le Bizec, Beate Isabella Escher, Gaud Dervilly et al.
1 citations
Environmental Science & Technology
Pesticide Residue Analysis and Safety
1.16
article

Determination of Chemical Mixtures in Environmental, Food, and Human Samples Using High-Resolution Mass Spectrometry-Based Suspect Screening Approaches

María Margalef, Bruno Le Bizec, Beate Isabella Escher, Gaud Dervilly, Timo Hamers, Anne Marie Vinggaard, Christina Rørbye, Ronan Cariou, Jean‐Philippe Antignac, Maria König, Soléne Motteau, M.H. Lamoree
article en
1 citations

Abstract

Chemical contaminants are widely dispersed in the environment in all its dimensions, posing significant public health problems. Comprehensive knowledge of these stressors is a prerequisite for assessing the associated risk and implementing public policy measures to reduce the level of population exposure. Nontargeted suspect screening approaches broaden the knowledge of the chemical human exposome. We developed and used a suspect screening method based on large spectral libraries. Chemical profiling was based on a combined LC- and GC-HRMS approach. The methodology was applied to 16 samples spanning the environment, food, and health continuum. Using a combination of matching and scoring data, a total of 547 compounds were likely identified, from which the chemical structure of 63 molecules was confirmed to the highest level of certainty. Wastewater, and more generally environmental samples, had the highest number of chemicals detected, while fish samples had a lower number. Pharmaceuticals, pesticides, and personal care product-related compounds were found to be the most common compounds in and between the extracts, particularly in water and serum samples. Many natural and endogenous compounds were consistently annotated in the samples submitted for analysis, regardless of the compartment investigated.

Environmental Science & TechnologyVol. 59(39)
Institut National de la Recherche Agronomique (MA), Helmholtz Centre for Environmental Research (DE), Hvidovre Hospital (DK), Food Research Institute (SK), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), National Institute for Public Health and the Environment (NL), Centre de Géosciences (FR), Oniris (FR), University of Tübingen (DE), Vrije Universiteit Amsterdam (NL), Technical University of Denmark (DK)
Openalex Percentile: Top 17%
Pesticide Residue Analysis and Safety
1.16
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