Evidence map›Paper›PMID 40517182›Full record

ArticleArchives of environmental contamination and toxicology2025

Quick Monitoring of Tomato and Onion Samples During Routine Regulatory Analysis of Pesticide Residues.

José Manuel Veiga-Del-Baño, José Oliva, Miguel Ángel Cámara, Pedro Andreo-Martínez, Miguel Motas

Abstract read
In one paragraph

Article in Archives of environmental contamination and toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

José Manuel Veiga-Del-BañoDepartment of Agricultural Chemistry, Faculty of Chemistry, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, Campus of Espinardo, 30100, Murcia, Spain.
José OlivaDepartment of Agricultural Chemistry, Faculty of Chemistry, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, Campus of Espinardo, 30100, Murcia, Spain.
Miguel Ángel CámaraDepartment of Agricultural Chemistry, Faculty of Chemistry, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, Campus of Espinardo, 30100, Murcia, Spain.
Pedro Andreo-MartínezDepartment of Agricultural Chemistry, Faculty of Chemistry, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, Campus of Espinardo, 30100, Murcia, Spain. pam11@um.es.ORCID http://orcid.org/0000-0001-6535-5492
Miguel MotasDepartment of Toxicology, Faculty of Veterinary, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, Campus of Espinardo, 30100, Murcia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a rapid visualization method was developed to simultaneously evaluate the on-going performance of routine analysis and ensure that the concentration of multiple pesticides in food samples with high water content complies with Maximum Residue Limits (MRLs). In order to accomplish this, we used a bubble chart known as Fast Risk Estimation and Analysis. In this chart, each pesticide is represented by a bubble. By looking at its color, position on the graph, and the size of the bubble, you can quickly determine whether it meets the requirements for relative standard deviation (RSD), recovery, Index of Quality for Residues, and matrix effect. Onion and pepper were chosen as commodity group with high water content. A single matrix-matched calibration using pepper was performed to analyze all these products. The risk visualization allows simultaneous checking of on-going validation and quality control parameters as recovery between 60 and 140% of the spike samples analyzed at the same time, such as the historical RSD (value and alarm if is upper at 20%). At the same time, the bubble chart monitoring other parameters such as the exceeding of the MRL in the analyzed samples, the complex definition of the residue in different pesticides or inconsistencies such as limits of quantification higher than the MRL could be quickly identified.

Indexed as

Food ContaminationOnionsPesticide ResiduesSolanum lycopersicumEnvironmental MonitoringPesticide Residues

Identifiers

PMID40517182
PMCPMC12370558

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.