Evidence map›Paper›PMID 40520707›Full record

ArticleFood chemistry: X2025

Multi-model risk assessment of pesticide residues in seasonal fruits based on integrated targeted/non-targeted screening: Implications for vulnerable populations.

Wenshuai Si, Yiqing Song, Can Guo, Zhiying Huang, Lei Chen, Fei Xu, Bing Bai, Kaixuan Huo, Shouying Wang

Abstract read
In one paragraph

Article in Food chemistry: X, 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. Article
  2. 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

9 authors.

Wenshuai SiInstitute for Agri-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, 201403 Shanghai, China.
Yiqing SongShanghai Co-Elite Agri-food Testing Technical Service Co., Ltd, 1000 Jinqi Road, 201403 Shanghai, China.
Can GuoInstitute for Agri-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, 201403 Shanghai, China.
Zhiying HuangInstitute for Agri-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, 201403 Shanghai, China.
Lei ChenInstitute for Agri-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, 201403 Shanghai, China.
Fei XuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, 200093 Shanghai, China.
Bing BaiInstitute for Agri-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, 201403 Shanghai, China.
Kaixuan HuoShanghai Co-Elite Agri-food Testing Technical Service Co., Ltd, 1000 Jinqi Road, 201403 Shanghai, China.
Shouying WangInstitute for Agri-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, 201403 Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study comprehensively analyzed multiple pesticide residues and their characteristics in commercially available fruits using integrated targeted and non-targeted techniques, with a focus on assessing health risks for children and pregnant women based on cumulative dietary risk models. Results showed 745 samples (7 categories) identified 54 pesticides (88.6 % detection rate; 1.1 % exceeding legal limits), with strawberries and peaches of the highest detection rates (98 %), and grapes the most diverse residues (avg. 6/sample). Risk ranking analysis flagged difenoconazole and indoxacarb as high-risk. Chronic cumulative exposure risks were dominated by hepatotoxic triazole fungicides. Acute risk assessments revealed potential hepatotoxicity concerns for children (3-6 years) and pregnant women consuming grapes/peaches. The Relative Potency Factor (RPF) model, accounting for synergism, showed 4-7 times higher neuro/hepatotoxicity risks than the Hazard Index (HI) model. This first integration of non-targeted screening with multi-model risk assessment provides evidence for strengthening pesticide regulation and protecting sensitive subpopulations.

Indexed as

Cumulative risk assessmentFruitsPesticide residuesRPF/HI modelsVulnerable groups

Identifiers

PMID40520707
PMCPMC12167114

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.