Evidence map›Paper›PMID 40807568›Full record

ArticleFoods (Basel, Switzerland)2025

Development of a Rapid and Sensitive Visual Pesticide Detection Card Using Crosslinked and Surface-Decorated Electrospun Nanofiber Mat.

Yunshan Wei, Huange Zhou, Jingxuan Kang, Yongmei Wu, Kun Feng

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. 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
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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

5 authors.

Yunshan WeiCollege of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
Huange ZhouCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China.
Jingxuan KangCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China.ORCID 0009-0006-7900-8292
Yongmei WuCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China.
Kun FengCollege of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China.

Funding

Doctoral Scientific Research Foundation of Zhengzhou University of Light Industry 2022BSJJZK05Food Engineering Technology Research Center/Key Laboratory of Henan Province, Henan University of Technology GO202313Key Scientific and Technological Project of Henan Province 232102321120 and 222102310140National Natural Science Foundation of China 32402090
6 · The paper itself

Abstract

Increased consumer awareness on food safety has spurred the development of detection techniques for pesticide residues. In this study, a rapid detection card on the basis of enzyme action was developed for the visual detection of pesticides, in which the thermally crosslinked and surface-decorated polyvinyl alcohol/citric acid nanofiber mat (PCNM) was employed as a novel immobilization matrix for acetylcholinesterase (AChE). The PCNM, crosslinked at 130 °C for 50 min, exhibited appropriate microstructure and water stability, making it suitable for AChE immobilization. The activation of carboxyl groups by surface decoration resulted in a 2.5-fold increase in enzyme loading capacity. Through parameter optimization, the detection limits for phoxim and methomyl were determined to be 0.007 mg/L and 0.10 mg/L, respectively. The detection card exhibited superior sensitivity and a reduced detection time (11 min) when compared to a commercially available pesticide detection card. Furthermore, the detection results of pesticide residues in fruit and vegetable samples confirmed its feasibility and superiority over commercial alternatives, suggesting its great potential for practical application in the on-site detection of pesticide residues.

Indexed as

nanofiber matpesticide detectionrapid and sensitivesurface crosslinking

Identifiers

PMID40807568
PMCPMC12346702

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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.