Evidence map›Paper›PMID 41515360›Full record

ReviewMolecules (Basel, Switzerland)2025

Strategies to Determine and Mitigate Pesticide Residues in Food.

Ana Rita Oliveira, Sílvia Cruz Barros, Duarte Torres, Ana Sanches Silva

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Ana Rita OliveiraUniversity of Coimbra, Faculty of Pharmacy, Polo III, Azinhaga de Stª Comba, 3000-548 Coimbra, Portugal.ORCID 0009-0002-9175-3851
Sílvia Cruz BarrosNational Institute for Agricultural and Veterinary Research (INIAV), I.P., Rua dos Lagidos, Lugar da Madalena, Vairão, 4485-655 Vila do Conde, Portugal.ORCID 0000-0001-8017-5668
Duarte TorresFaculty of Nutrition and Food Sciences, University of Porto, 4200-393 Porto, Portugal.ORCID 0000-0001-8960-2160
Ana Sanches SilvaUniversity of Coimbra, Faculty of Pharmacy, Polo III, Azinhaga de Stª Comba, 3000-548 Coimbra, Portugal.ORCID 0000-0002-0226-921X

Funding

FCT/MCTES UIDB/00211/2025
6 · The paper itself

Abstract

This review provides a comprehensive overview of strategies to mitigate pesticide residues in food, examining both household and industrial processing techniques alongside the emerging role of Artificial Intelligence (AI). Simple household methods, such as washing, peeling, and thermal processing (e.g., boiling, frying), are effective. For instance, washing with running water achieves a reduction of up to 77% in residue for some vegetables. Additionally, processes like jam-making or frying can significantly reduce specific residues. Industrially, advanced methods such as ozonated water washing, ultrasonification, and cold plasma are employed for high efficiency while preserving food quality. Critically, AI is emerging as a powerful, indirect tool through predictive modelling, AI-assisted sorting/screening, and consumer guidance, enhancing precision agriculture and regulatory analytics. The review paper concludes that a combination of these diverse methods is essential for minimizing pesticide exposure and ensuring a safer food supply.

Indexed as

Food AnalysisFood ContaminationPesticide ResiduesArtificial IntelligenceFood HandlingFood, ProcessedHumansPesticide Residuesartificial intelligencehousehold processingpesticide classificationpesticide mitigationpesticide residues

Identifiers

PMID41515360
PMCPMC12787089

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.