Evidence map›Paper›PMID 40990191›Full record

ArticleSe pu = Chinese journal of chromatography2025

[Simultaneous detection of 34 pesticide and metabolite residues in vegetables and fruits using improved QuEChERS-gas chromatography-tandem mass spectrometry with carboxylated multi-walled carbon nanotubes].

Xin-Zhong Zhang, Xue-Mei Wang, Jun Chen, Zhen Zhang, Hui Ding, Xin-Zhen DU, Xiao-Quan Lu

Abstract readEnglish Abstract
In one paragraph

Article in Se pu = Chinese journal of chromatography, 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

7 authors.

Xin-Zhong ZhangKey Laboratory of Water Security and Water Environment Protection in Plateau Intersection,Ministry of Education,College of Chemistry and Chemical Engineering,Northwest Normal University,Lanzhou 730070,China.
Xue-Mei WangKey Laboratory of Water Security and Water Environment Protection in Plateau Intersection,Ministry of Education,College of Chemistry and Chemical Engineering,Northwest Normal University,Lanzhou 730070,China.
Jun ChenKey Laboratory of Water Security and Water Environment Protection in Plateau Intersection,Ministry of Education,College of Chemistry and Chemical Engineering,Northwest Normal University,Lanzhou 730070,China.
Zhen ZhangKey Laboratory of Water Security and Water Environment Protection in Plateau Intersection,Ministry of Education,College of Chemistry and Chemical Engineering,Northwest Normal University,Lanzhou 730070,China.
Hui DingLanzhou Institute for Food and Drug Control,Lanzhou 730050,China.
Xin-Zhen DUKey Laboratory of Water Security and Water Environment Protection in Plateau Intersection,Ministry of Education,College of Chemistry and Chemical Engineering,Northwest Normal University,Lanzhou 730070,China.
Xiao-Quan LuKey Laboratory of Water Security and Water Environment Protection in Plateau Intersection,Ministry of Education,College of Chemistry and Chemical Engineering,Northwest Normal University,Lanzhou 730070,China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid advancement of industrialization, agricultural intensification, and urbanization, issues pertaining to environmental pollution and food safety have become increasingly prominent. The use of pesticides plays a vital role in augmenting agricultural yield and quality, thereby serving as a foundational element of modern agriculture. However, improper or excessive application can lead to pesticide residues, which pose a significant threat to ecological systems and human health. Therefore, it is essential to enhance the surveillance of pesticide residue levels and to pioneer novel, efficient analytical methodologies. Sample pretreatment constitutes a crucial stage in the detection pipeline. Consequently, the development of rapid, green, and efficient sample pretreatment techniques has advanced significantly and gained widespread application in recent years. To effectively monitor pesticide residues in fruits and vegetables while reducing matrix interference, we established a high-throughput method for detecting 34 pesticides and their metabolites. This method utilizes a modified QuEChERS approach with carboxylated multi-walled carbon nanotubes (MWCNTs-COOH) as a clean-up sorbent, followed by analysis with gas chromatography-tandem mass spectrometry (GC-MS/MS). The detection conditions for 34 pesticide and metabolite residues in fruits and vegetables were established through the optimization of the pretreatment process, chromatographic conditions, and mass spectrometry parameters. Specifically, fruit and vegetable samples were homogenized and extracted using a commercial QuEChERS EN extraction kit. Following shaking and centrifugation, the supernatant was transferred to a purification tube containing 10 mg of MWCNTs-COOH. Subsequently, this supernatant was evaporated to near-dryness under a gentle stream of nitrogen, reconstituted in ethyl acetate containing an internal standard, and filtered through a 0.22 μm nylon membrane filter. The target substances were separated on a HP-5MS UI quartz capillary column (30 m×0.25 mm×0.25 μm) with a programmed temperature gradient, detected by GC-MS/MS in multiple reaction monitoring (MRM) mode, and quantified using a matrix-matched internal standard calibration method. A full scan was performed across an

Indexed as

Food ContaminationFruitGas Chromatography-Mass SpectrometryNanotubes, CarbonPesticide ResiduesTandem Mass SpectrometryVegetablesNanotubes, CarbonPesticide Residuescarboxylated multi-walled carbon nanotubes (MWCNTs-COOH)gas chromatography-triple quadrupole mass spectrometry (GC-MS/MS)pesticides and metabolitesQuEChERSvegetables and fruits

Identifiers

PMID40990191
PMCPMC12461498

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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.