Evidence map›Paper›PMID 36105157›Full record

ArticleJournal of pharmaceutical analysis2022

A highly sensitive bio-barcode immunoassay for multi-residue detection of organophosphate pesticides based on fluorescence anti-quenching.

Lingyuan Xu, Xiuyuan Zhang, A M Abd El-Aty, Yuanshang Wang, Zhen Cao, Huiyan Jia, J-Pablo Salvador, Ahmet Hacimuftuoglu, Xueyan Cui, Yudan Zhang and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 26 citations in OpenAlex.

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  5. 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

18 authors at 7 institutions in 5 countries.

Lingyuan XuInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xiuyuan ZhangInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
A M Abd El-AtyDepartment of Pharmacology, Faculty of Veterinary Medicine, Cairo University, Giza, 12211, Egypt.
Yuanshang WangInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Zhen CaoInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Huiyan JiaInstitute of Livestock and Poultry, Ningbo Academy of Agricultural Sciences, Ningbo, Zhejiang, 315040, China.
J-Pablo SalvadorNanobiotechnology for Diagnostics Group, Instituto de Química Avanzada de Cataluña, IQAC-CSIC, Barcelona, 08034, Spain.
Ahmet HacimuftuogluDepartment of Medical Pharmacology, Medical Faculty, Ataturk University, Erzurum, 25240, Türkiye.
Xueyan CuiInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yudan ZhangInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Kun WangInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yongxin SheInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Fen JinInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Lufei ZhengInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Baima PujiaInspection and Testing Center of Agricultural and Livestock Products of Tibet, Department of Agriculture and Rural Affairs of Tibet Autonomous Region, Lhasa, 850000, China.
Jing WangInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Maojun JinInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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 · CNAtatürk University · TRBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESCairo University · EGNingbo Academy of Agricultural Sciences · CNTibet Autonomous Region People's Hospital · CNUC Davis Comprehensive Cancer Center

Funding

Workshop on Environmental Technology Transfer and EntrepreneurshipP42ES004699 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI HAMMOCK, BRUCE D · 1987 to 2021
$50.1M
Supplement for bioactive lipids as effectors and indicators of the deleterious effects of human healthR35ES030443 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MORISSEAU, CHRISTOPHE HP · 2019 to 2025
$5.8M
NIEHS NIH HHS P42 ES004699NIEHS NIH HHS R35 ES030443
6 · The paper itself

Abstract

Balancing the risks and benefits of organophosphate pesticides (OPs) on human and environmental health relies partly on their accurate measurement. A highly sensitive fluorescence anti-quenching multi-residue bio-barcode immunoassay was developed to detect OPs (triazophos, parathion, and chlorpyrifos) in apples, turnips, cabbages, and rice. Gold nanoparticles were functionalized with monoclonal antibodies against the tested OPs. DNA oligonucleotides were complementarily hybridized with an RNA fluorescent label for signal amplification. The detection signals were generated by DNA-RNA hybridization and ribonuclease H dissociation of the fluorophore. The resulting fluorescence signal enables multiplexed quantification of triazophos, parathion, and chlorpyrifos residues over the concentration range of 0.01-25, 0.01-50, and 0.1-50 ng/mL with limits of detection of 0.014, 0.011, and 0.126 ng/mL, respectively. The mean recovery ranged between 80.3% and 110.8% with relative standard deviations of 7.3%-17.6%, which correlate well with results obtained by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The proposed bio-barcode immunoassay is stable, reproducible and reliable, and is able to detect low residual levels of multi-residue OPs in agricultural products.

Indexed as

DNA oligonucleotidesDNA-RNA hybridizationFluorescence anti-quenchingGold nanoparticlesOrganophosphate pesticidesRibonuclease H

Identifiers

PMID36105157
PMCPMC9463527
OpenAlexW4280545815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.