A highly sensitive electrochemical immunosensor based on electrospun nanocomposite for the detection of parathion.


Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
15 Mar 2023
Historique:
received: 28 04 2022
revised: 09 09 2022
accepted: 19 09 2022
pubmed: 17 10 2022
medline: 30 11 2022
entrez: 16 10 2022
Statut: ppublish

Résumé

For monitoring of the residual of parathion pesticide in food, herein, a sensitive and reliable electrochemical immunosensor based on cross-linked polyvinyl alcohol/citric acid nanofiber membrane (PVA/CA NFM) and horseradish peroxidase labeled anti-parathion nanobody was constructed. Firstly, the cross-linked PVA/CA NFM with extra-high surface area and uniform morphology was prepared and characterized. Then, the immunosensor was assembled and its analytical performances were evaluated. It exhibited high specificity and sensitivity to parathion with the liner range and limit of detection being 0.01-100 ng/mL and 2.26 pg/mL, respectively. Moreover, the biosensor kept almost 75% of its initial activity after regenerating 4 times, and remained 85% after 9 weeks of storage. Finally, the average recoveries from food samples were 96.20%-114.61% with the coefficient of variation being 1.06%-5.28%, which was correlate well with UPLC (R

Identifiants

pubmed: 36244073
pii: S0308-8146(22)02333-0
doi: 10.1016/j.foodchem.2022.134371
pii:
doi:

Substances chimiques

Parathion 61G466064D
Polyvinyl Alcohol 9002-89-5
Gold 7440-57-5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

134371

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Wen-Jia Yin (WJ)

College of Food Science, Guangdong Provincial Key Laboratory of Food Quality and Safety, South China Agricultural University, Guangzhou 510642, China.

Jing-Xian Zhang (JX)

College of Food Science, Guangdong Provincial Key Laboratory of Food Quality and Safety, South China Agricultural University, Guangzhou 510642, China.

Hong Wang (H)

College of Food Science, Guangdong Provincial Key Laboratory of Food Quality and Safety, South China Agricultural University, Guangzhou 510642, China; Lingnan Modern Agricultural Science and Technology Guangdong Laboratory, Guangzhou 510642, China. Electronic address: gzwhongd@163.com.

Yu Wang (Y)

Guangzhou Institute of Food Inspection, Guangzhou 510080, China.

Xi Zeng (X)

Guangzhou Institute of Food Inspection, Guangzhou 510080, China.

Zhen-Lin Xu (ZL)

College of Food Science, Guangdong Provincial Key Laboratory of Food Quality and Safety, South China Agricultural University, Guangzhou 510642, China.

Jin-Yi Yang (JY)

College of Food Science, Guangdong Provincial Key Laboratory of Food Quality and Safety, South China Agricultural University, Guangzhou 510642, China.

Zhi-Li Xiao (ZL)

College of Food Science, Guangdong Provincial Key Laboratory of Food Quality and Safety, South China Agricultural University, Guangzhou 510642, China.

Bruce D Hammock (BD)

Department of Entomology and Nematology and UCD Comprehensive Cancer Center, University of California, Davis, CA 95616, United States.

Peng Wen (P)

College of Food Science, Guangdong Provincial Key Laboratory of Food Quality and Safety, South China Agricultural University, Guangzhou 510642, China; Lingnan Modern Agricultural Science and Technology Guangdong Laboratory, Guangzhou 510642, China. Electronic address: pwen@scau.edu.cn.

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Classifications MeSH