Evidence map›Paper›PMID 41015935›Full record

ArticleEnvironmental science & technology2025

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

Solène Motteau, Gaud Dervilly, Ronan Cariou, Maria Margalef, Marja Lamoree, Timo Hamers, Maria König, Beate I Escher, Anne Marie Vinggaard, Christina Rørbye and 2 more

Abstract read
In one paragraph

Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Solène MotteauLABERCA, INRAE, Oniris, 44300 Nantes, France.ORCID 0009-0006-8454-6810
Gaud DervillyLABERCA, INRAE, Oniris, 44300 Nantes, France.ORCID 0000-0002-1867-0008
Ronan CariouLABERCA, INRAE, Oniris, 44300 Nantes, France.ORCID 0000-0002-4669-1834
Maria MargalefAmsterdam Institute for Life and Environment, Faculty of Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Marja LamoreeAmsterdam Institute for Life and Environment, Faculty of Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Timo HamersAmsterdam Institute for Life and Environment, Faculty of Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Maria KönigDepartment of Cell Toxicology, Helmholtz Centre for Environmental Research─UFZ, DE-04318 Leipzig, Germany.
Beate I EscherDepartment of Cell Toxicology, Helmholtz Centre for Environmental Research─UFZ, DE-04318 Leipzig, Germany.ORCID 0000-0002-5304-706X
Anne Marie VinggaardNational Food Institute, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.
Christina RørbyeDepartment of Obstetrics and Gynaecology, Hvidovre University Hospital, DK 2650 Hvidovre, Denmark.
Bruno Le BizecLABERCA, INRAE, Oniris, 44300 Nantes, France.
Jean-Philippe AntignacLABERCA, INRAE, Oniris, 44300 Nantes, France.ORCID 0000-0001-9512-9314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Environmental PollutantsEnvironmental MonitoringHumansMass SpectrometryWastewaterEnvironmental PollutantsWastewaterclasses of usecommon compoundsenvironment−food−human continuumsuspect screening

Identifiers

PMID41015935
PMCPMC12509325

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.