Evidence map›Paper›PMID 35722380›Full record

ArticleAnnals of translational medicine2022

Preparation and identification of an anti-nicarbazin monoclonal antibody and its application in the agriculture and food industries.

Hong Shen, Qiqi Zhao, Bilian Chen, Chao Li, Jue Li, Han Sun, Yu Chen, Wanqin Chen, Yu Yi, Jianfeng Mei and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. 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
0.1field-weighted citation impact, top 58% of its field
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 citations in OpenAlex.

  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

12 authors at 2 institutions in 1 country.

Hong ShenCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, China.
Qiqi ZhaoBiological Inspection Department, Zhejiang Institute for Food and Drug Control, Hangzhou, China.
Bilian ChenBiological Inspection Department, Zhejiang Institute for Food and Drug Control, Hangzhou, China.
Chao LiBiological Inspection Department, Zhejiang Institute for Food and Drug Control, Hangzhou, China.
Jue LiBiological Inspection Department, Zhejiang Institute for Food and Drug Control, Hangzhou, China.
Han SunBiological Inspection Department, Zhejiang Institute for Food and Drug Control, Hangzhou, China.
Yu ChenBiological Inspection Department, Zhejiang Institute for Food and Drug Control, Hangzhou, China.
Wanqin ChenBiological Inspection Department, Zhejiang Institute for Food and Drug Control, Hangzhou, China.
Yu YiCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, China.
Jianfeng MeiCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, China.
Yanlu ZhangCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, China.
Guoqing YingCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, China.
Zhejiang University of Technology · CNZheJiang Institute For Food and Drug Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a broad-spectrum drug against chicken coccidiosis, nicarbazine is widely used. The international community has made regulations and requirements on the residue limits of nicarbazine metabolites in chicken. The research reports on the detection methods of nicarbazine residues are mainly based on large-scale instruments such as high-performance liquid chromatography (HPLC), liquid chromatography-mass spectrometry-mass spectrometry (LC/MS/MS) and so on. However, in the practical monitoring and detection application, the rapid, sensitive, efficient and accurate detection of nicarbazine residues is becoming more and more urgent. Methods: This study aimed to establish an enzyme-linked immunosorbent assay (ELISA)-based method to detect nicarbazin drug residues with high sensitivity and specificity, and wide applicability. Artificial immunogens were prepared by molecular modification synthesis. Nuclear magnetic resonance (NMR) and ultraviolet analyses were conducted to confirm that the correct product was obtained. Monoclonal antibodies were acquired by immunizing mice and preparing hybridoma cells. Results: In this study, 4,4'-dinitrocarbanilide (DNC), a metabolite of nicarbazine, was synthesized and modified to make it have immunogenicity. Fifteen healthy female mice of 6-8 weeks old were immunized in three groups. The successfully immunized mice were screened by serum titer. One mouse with the highest titer was fused and cloned three times, and four positive cell lines were obtained. Nine monoclonal antibodies were obtained from mouse ascites. The best matched antigens and antibodies were screened by an ELISA chessboard method. A detection method of nicarbazine ELISA kit was developed. Our prepared anti-nicarbazin monoclonal antibody had a half-maximal inhibitory concentration (IC Conclusions: This method, which uses a specific antibody against the nicarbazin metabolic product DNC, enables rapid quantitative detection. Our new ELISA-based method should facilitate the development of assays to monitor and detect agricultural and veterinary drug residues.

Indexed as

identificationMonoclonal antibodynicarbazinnuclear magnetic resonance (NMR)preparation

Identifiers

PMID35722380
PMCPMC9201177
OpenAlexW4283220246

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.