Evidence map›Paper›PMID 33461115›Full record

ArticleFood chemistry2021

A visual bio-barcode immunoassay for sensitive detection of triazophos based on biochip silver staining signal amplification.

Yuanshang Wang, Pengfei Du, A M Abd El-Aty, Ge Chen, Huiyan Jia, Xueyan Cui, Emel Oz, Yudan Zhang, Xiuyuan Zhang, Guoxin Qin and 4 more

Open access · greenAbstract read
In one paragraph

Article in Food chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 7 institutions in 4 countries.

Yuanshang WangInstitute of Quality Standard and Testing Technology for Agro-Products, Key Laboratory of Agro-Product Quality and Safety, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, PR China.
Pengfei DuInstitute of Agro-Food Science and Technology Shandong Academy of Agricultural Sciences, Key Laboratory of Agro-Products Processing Technology of Shandong Province, Key Laboratory of Novel Food Resources Processing Ministry of Agriculture, Jinan 250100, PR China. Electronic address: dupengfei2011@163.com.
A M Abd El-AtyDepartment of Pharmacology, Faculty of Veterinary Medicine, Cairo University, 12211 Giza, Egypt; Department of Medical Pharmacology, Medical Faculty, Ataturk University, 25240 Erzurum, Turkey. Electronic address: abdelaty44@hotmail.com.
Ge ChenInstitute of Quality Standard and Testing Technology for Agro-Products, Key Laboratory of Agro-Product Quality and Safety, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, PR China.
Huiyan JiaNingbo Academy of Agricultural Sciences, Ningbo 315040, PR China.
Xueyan CuiInstitute of Quality Standard and Testing Technology for Agro-Products, Key Laboratory of Agro-Product Quality and Safety, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, PR China.
Emel OzDepartment of Food Engineering, Faculty of Agriculture, Ataturk University, 25240 Erzurum, Turkey.
Yudan ZhangInstitute of Quality Standard and Testing Technology for Agro-Products, Key Laboratory of Agro-Product Quality and Safety, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, PR China.
Xiuyuan ZhangInstitute of Quality Standard and Testing Technology for Agro-Products, Key Laboratory of Agro-Product Quality and Safety, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, PR China.
Guoxin QinAgro-products Quality Safety and Testing Technology Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, PR China.
Feiyan YanAgro-products Quality Safety and Testing Technology Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, PR China.
Jing WangInstitute of Quality Standard and Testing Technology for Agro-Products, Key Laboratory of Agro-Product Quality and Safety, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, PR China.
Maojun JinInstitute of Quality Standard and Testing Technology for Agro-Products, Key Laboratory of Agro-Product Quality and Safety, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, PR China; Department of Entomology & Nematology and the UC Davis Comprehensive Cancer Center, University of California, Davis, CA 95616, USA. Electronic address: jinmaojun@caas.cn.
Bruce D HammockDepartment of Entomology & Nematology and the UC Davis Comprehensive Cancer Center, University of California, Davis, CA 95616, USA.
Chinese Academy of Agricultural Sciences · CNInstitute of Quality Standards and Testing Technology for Agro Products · CNAtatürk University · TRGuangxi Academy of Agricultural Science · CNUniversity of California, Davis · USNingbo Academy of Agricultural Sciences · CNShandong Academy of Agricultural Sciences · CN

Funding

Workshop on Environmental Technology Transfer and EntrepreneurshipP42ES004699 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI HAMMOCK, BRUCE D · 1987 to 2021
$50.1M
NIEHS NIH HHS P42 ES004699
6 · The paper itself

Abstract

Herein, a novel visual method for detecting triazophos based on competitive bio-barcode immunoassay was described. The competitive immunoassay was established by gold nanoparticles (AuNPs), magnetic microparticle (MMPs) and triazophos, combined with biochip hybridization system to detect the residual of triazophos in water and apple. Because AuNPs carried many bio-barcodes, which hybridized with labeled DNA on the biochip, catalyzed signal amplification using silver staining was detected by grayscale values as well as the naked eye. Notably, the grayscale values decreases with increasing the concentrations of triazophos, and the color change weakened gradually. The detection range was in between 0.05 and 10 ng/mL and the minimum detection limit was set at 0.04 ng/mL. Percent recovery calculated from spiked water and apple samples ranged between 55.4 and 107.8% with relative standard deviations (RSDs) of 12.4-24.9%. It has therefore been shown that this protocol provides a new insight for rapid detection of small molecule pesticides in various matrices.

Indexed as

GoldImmunoassayMalusMetal NanoparticlesOrganothiophosphatesSilver StainingTriazolesWaterGoldOrganothiophosphatesTriazolestriazophosWaterBio-barcodeBiochip silver stainingGold nanoparticlesImmunoassayTriazophos

Identifiers

PMID33461115
PMCPMC9648568
OpenAlexW3195062868

What OpenQuestion holds

Textmetadata
LicenceTDM
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.