Evidence map›Paper›PMID 42054298›Full record

ArticlePloS one2026

Screening for unconventional pesticides in tropical fruits and vegetables from Hainan, China.

Yijun Zhang, Li Xu, Chaozheng Wang, Xiaowei Liu, Wenguang Jiao, Yiwei Chen

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yijun ZhangHaikou Key Laboratory of Marine Contaminants Monitoring Innovation and Application, Haikou Marine Geological Survey Center, China Geological Survey, Haikou, Hainan, China.
Li XuHainan International Travel Healthcare Center (Port Clinic of Haikou Customs District), Haikou, China.
Chaozheng WangTechnology Center, Haikou Customs District, Haikou, Hainan, China.
Xiaowei LiuHaikou Key Laboratory of Marine Contaminants Monitoring Innovation and Application, Haikou Marine Geological Survey Center, China Geological Survey, Haikou, Hainan, China.
Wenguang JiaoHaikou Key Laboratory of Marine Contaminants Monitoring Innovation and Application, Haikou Marine Geological Survey Center, China Geological Survey, Haikou, Hainan, China.
Yiwei ChenTechnology Center, Haikou Customs District, Haikou, Hainan, China.ORCID https://orcid.org/0000-0002-7657-4591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hainan Province, a major tropical fruit and vegetable production region in China, faces potential threats to food safety and the ecological environment due to pesticide residue issues. However, the current monitoring system has notable limitations. Many unconventional pesticides (pesticides not included in Hainan's routine pesticide residue monitoring program) are not systematically monitored, and residue limit standards for these substances are lacking, resulting in regulatory blind spots. In this study, the QuEChERS sample preparation method combined with GC-MS/MS was applied to systematically screen and evaluate 117 unconventional pesticides in 216 fruit and vegetable samples collected from the eastern, central, and western regions of Hainan. Results showed that target pesticides were detected in 23 samples (10.6% of the total sample size), with 18 of these samples (78.3% of the contaminated samples) containing pesticides not covered by the national pesticide residue limits. Peppers and Chinese cabbage exhibited the highest detection rates (39.4% and 21.2%, respectively). A total of 11 pesticide types were identified (9.40% of the screened types), with tetramethrin showing the highest detection frequency (39.1% of the contaminated samples) and isoprocarb exhibiting the highest concentration (1.775 mg/kg in celery). Furthermore, a correlation model was developed, indicating that geographical and climatic factors (32.6%), crop characteristics (28.3%), and pesticide properties (25.1%) are the main factors influencing pesticide residue levels. This study fills a critical data gap in unconventional pesticide residue monitoring in tropical agriculture of Hainan, providing a solid scientific basis for improving the regulatory system, updating residue limit standards, and ensuring the safety and quality of agricultural products.

Indexed as

Food ContaminationFruitPesticide ResiduesPesticidesVegetablesChinaGas Chromatography-Mass SpectrometryTandem Mass SpectrometryTropical ClimatePesticide ResiduesPesticides

Identifiers

PMID42054298
PMCPMC13127967

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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.