Evidence map›Paper›PMID 42450443›Full record

ArticleFoods (Basel, Switzerland)2026

The Hapten Design, Monoclonal Antibody Preparation, and Immunoassay Development for Rapid Detection of Isofenphos-Methyl.

Yajie Lei, Yunyun Chang, Wenchong Shan, Miao Wang, Yongxin She, A M Abd El-Aty, Jing Wang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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

7 authors.

Yajie LeiNational Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China.
Yunyun ChangNational Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China.
Wenchong ShanNational Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China.
Miao WangNational Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China.ORCID 0000-0002-9576-5211
Yongxin SheNational Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China.ORCID 0000-0001-7055-4808
A M Abd El-AtyDepartment of Pharmacology, Faculty of Veterinary Medicine, Cairo University, Giza 12211, Egypt.ORCID 0000-0001-6596-7907
Jing WangNational Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isofenphos-methyl (IFP), a highly toxic and persistent organophosphate pesticide (OP), is widely used for soil pest control in crops but poses severe risks to ecological safety and human health because of its environmental accumulation and bioaccumulation. Herein, a sensitive and specific indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) was developed for rapid IFP detection in vegetables. A novel IFP hapten was rationally designed and synthesized via computer-aided molecular simulation, and its structure was validated by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and nuclear magnetic resonance (NMR). High-specificity anti-IFP monoclonal antibodies (mAbs) with strong anti-matrix interference were prepared for the first time using a matrix effect-enhanced screening strategy. The optimized ic-ELISA showed high sensitivity, with an IC

Indexed as

hapten predictionindirect competitive enzyme-linked immunosorbent assayisofenphos-methylmonoclonal antibody

Identifiers

PMID42450443
PMCPMC13361909

What OpenQuestion 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 OpenQuestion graph.