Evidence map›Paper›PMID 41567560›Full record

ArticleFood chemistry: X2026

A modified sample preparation strategy combined with UHPLC-MS/MS for simultaneous determination of 147 pesticides and related compounds in vegetables and fruits.

Guangyue Wen, Tan Wang, Li Zhao, Wenshuai Si, Hongxia Tang, Maofeng Dong, Yueliang Zhao, Weimin Wang

Abstract read
In one paragraph

Article in Food chemistry: X, 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

8 authors.

Guangyue WenPesticide Safety Evaluation Research Center, Institute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201106, PR China.
Tan WangPesticide Safety Evaluation Research Center, Institute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201106, PR China.
Li ZhaoShanghai Agriculture Technical Extension Service Center, Shanghai 201103, PR China.
Wenshuai SiPesticide Safety Evaluation Research Center, Institute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201106, PR China.
Hongxia TangPesticide Safety Evaluation Research Center, Institute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201106, PR China.
Maofeng DongPesticide Safety Evaluation Research Center, Institute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201106, PR China.
Yueliang ZhaoSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weimin WangPesticide Safety Evaluation Research Center, Institute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201106, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a modified approach was described for a simultaneous determination of 147 pesticides and related compounds in vegetables and fruits using ultra-high performance liquid chromatography coupled with triple quadrupole tandem mass spectrometry. The environmentally friendly sample preparation approach consisted of simultaneous extraction of 147 targets with a low dose (2 mL) of ethanol and purification by solid phase extraction. The validation results demonstrated a good linear relationship within the range of 0.002-1 mg/L with a coefficient of determination (R

Indexed as

Green extractionMulti-residuePesticidesUHPLC-MS/MSVegetables and fruits

Identifiers

PMID41567560
PMCPMC12816860

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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.