Evidence map›Paper›PMID 39410075›Full record

ArticleFoods (Basel, Switzerland)2024

Enhanced Surveillance of >1100 Pesticides and Natural Toxins in Food: Harnessing the Capabilities of LC-HRMS for Reliable Identification and Quantification.

Thomas Bessaire, Marie-Claude Savoy, Marion Ernest, Nicolas Christinat, Flavia Badoud, Aurélien Desmarchelier, Benoit Carrères, Wai-Chinn Chan, Xiaoyu Wang, Thierry Delatour

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Thomas BessaireNestlé Research Center, Vers-chez-les-Blanc, CH-1000 Lausanne, Switzerland.ORCID 0000-0002-0523-9796
Marie-Claude SavoyNestlé Research Center, Vers-chez-les-Blanc, CH-1000 Lausanne, Switzerland.
Marion ErnestNestlé Research Center, Vers-chez-les-Blanc, CH-1000 Lausanne, Switzerland.
Nicolas ChristinatNestlé Research Center, Vers-chez-les-Blanc, CH-1000 Lausanne, Switzerland.
Flavia BadoudNestlé Research Center, Vers-chez-les-Blanc, CH-1000 Lausanne, Switzerland.ORCID 0000-0002-6969-8756
Aurélien DesmarchelierNestlé Research Center, Vers-chez-les-Blanc, CH-1000 Lausanne, Switzerland.ORCID 0000-0003-2315-5323
Benoit CarrèresNestlé Research Center, Vers-chez-les-Blanc, CH-1000 Lausanne, Switzerland.
Wai-Chinn ChanNestlé Quality Assurance Center (NQAC) Singapore, 29 Quality Road, Singapore 618802, Singapore.
Xiaoyu WangNestlé Quality Assurance Center (NQAC) Singapore, 29 Quality Road, Singapore 618802, Singapore.
Thierry DelatourNestlé Research Center, Vers-chez-les-Blanc, CH-1000 Lausanne, Switzerland.ORCID 0000-0003-1540-9645

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The consequences of climate change along with diverse food regulations and agricultural practices worldwide are complexifying the occurrence and management of chemical contaminants in food. In this context, we present an ultra-high-performance liquid chromatography high-resolution mass spectrometry (LC-HRMS) approach for the simultaneous identification and quantitation of over 1100 pesticide residues, mycotoxins, and plant toxins in cereals and fruits and vegetables. Analytical conditions were optimized to maximize the scope of the targeted molecules, the reliability of compound identification, and quantification performance within a single method. The method was further transferred and validated in another laboratory to assess its ruggedness. Validation according to the SANTE 11312/2021v2 guidelines showed that 92% and 98% of the molecules fulfill the quantification criteria at the lowest validated level in the cereals and fruits and vegetables groups, respectively. Analysis of fifteen certified reference materials led to a 96% satisfactory rate of z-scores confirming method's competitiveness. Furthermore, the occurrence of these contaminants was studied in 205 cereals and grains samples collected worldwide. The low µg/kg quantification limits make this LC-HRMS method a valuable tool to ensure compliance toward regulations and to screen for non-regulated substances for which occurrence data are crucial for an appropriate risk evaluation.

Indexed as

climate changeHRMSmulti-residuesmycotoxinsOrbitrappesticidesplant toxins

Identifiers

PMID39410075
PMCPMC11476049

What OpenQuestion holds

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Registered trials

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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.