Evidence map›Paper›PMID 37071204›Full record

ArticleMikrochimica acta2023

A highly sensitive lateral flow immunoassay based on a group-specific monoclonal antibody and amorphous carbon nanoparticles for detection of sulfonamides in milk.

Meng Dang, Zizhe Li, Yexuan Mao, Xianqing Huang, Lianjun Song, Wenfeng Li, Ruxiang Ma, Yang Liu, Liye Wang, Xuezhi Yu and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2023. 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. Review
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.

Meng Dang *Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China.
Zizhe Li *Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China.
Yexuan MaoHenan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China.
Xianqing HuangHenan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China.
Lianjun SongHenan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China.
Wenfeng LiHenan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China.
Ruxiang MaHenan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China.
Yang LiuHenan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China.
Liye WangCollege of Food and Drug, Luoyang Normal University, Luoyang, 471934, Henan, China.
Xuezhi YuBeijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, China Agricultural University, Beijing, 100193, China.
Huijuan YangBeijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, China Agricultural University, Beijing, 100193, China. huijuanyang@cau.edu.cn.
Xiya ZhangHenan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, 450002, Henan, China. zhangxiya@henau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To meet high-throughput screening of the residues of sulfonamides (SAs) with high sensitivity toward sulfamethazine (SM2) in milk samples, a new highly sensitive lateral flow immunoassay (LFA) based on amorphous carbon nanoparticles (ACNs) was developed. First, a group-specific monoclonal antibody 10H7 (mAb 10H7) that could recognize 25 SAs with high sensitivity toward SM2 (IC

Indexed as

Antibodies, MonoclonalNanoparticlesAnimalsCarbonHaptensImmunoassayMilkSulfanilamideSulfonamidesTandem Mass SpectrometryAntibodies, MonoclonalCarbonHaptensSulfanilamideSulfonamidesAmorphous carbon nanoparticleAntibodyLateral flow immunoassaySulfonamides

Identifiers

PMID37071204

What OpenQuestion holds

Textmetadata
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.