Evidence map›Paper›PMID 40285294›Full record

ArticleSensors (Basel, Switzerland)2025

Two Methods for Detecting PCM Residues in Vegetables Based on Paper-Based Sensors.

Jiazheng Sun, Shiling Li, Xijun Shao, Mingxuan Fang, Heng Zhang, Zhiheng Zhu, Xia Sun

Abstract read
In one paragraph

Article in Sensors (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
–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

7 authors.

Jiazheng SunSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China.
Shiling LiSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China.
Xijun ShaoSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China.
Mingxuan FangSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China.
Heng ZhangSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China.
Zhiheng ZhuSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China.
Xia SunSchool of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Procymidone (PCM) is an effective, low-toxicity fungicide commonly used to control plant diseases in grains, vegetables, and fruits. Its usage has significantly increased in recent years, resulting in higher residues in vegetables. This study developed a sensitive and rapid immunoassay method utilizing a gold- and fluorescence-labeled monoclonal antibody (mAb) for detecting PCM residues in vegetable samples. Under optimal conditions, the fluorescent microsphere-labeled monoclonal antibody immunochromatographic strips achieved a limit of detection (LOD) of 1.67 ng/mL, with a visual LOD of 50 ng/mL. Intra-batch accuracy ranged from 94.98% to 103.82%, with a coefficient of variation (CV) of 1.97% to 8.26%. Inter-batch accuracy ranged from 96.16% to 102.51%, with a CV of 4.62% to 8.91%. The visual detection range of the gold nanoparticle-labeled monoclonal antibody immunochromatographic strips was 50 to 200 ng/g. The method demonstrated excellent performance in actual vegetable samples, confirming its applicability across various matrices. This dual-method approach enables rapid screening of negative samples with gold test strips, followed by accurate quantitative analysis of positive samples using fluorescent test strips, thereby enhancing efficiency and addressing diverse detection needs. Consequently, this method holds significant market potential for practical applications.

Indexed as

Biosensing TechniquesPaperPesticide ResiduesVegetablesAntibodies, MonoclonalChromatography, AffinityGoldImmunoassayLimit of DetectionMetal NanoparticlesAntibodies, MonoclonalGoldPesticide ResiduesAuNPsimmunochromatographic (IC) testprocymidonetime-resolved fluorescencevegetables

Identifiers

PMID40285294
PMCPMC12031288

What Socratic holds

Textmetadata
LicenceCC BY
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.