ZnO and Au nanoparticles supported highly sensitive and selective electrochemical sensor based on molecularly imprinted polymer for sulfaguanidine and sulfamerazine detection.


Journal

Journal of pharmaceutical and biomedical analysis
ISSN: 1873-264X
Titre abrégé: J Pharm Biomed Anal
Pays: England
ID NLM: 8309336

Informations de publication

Date de publication:
20 Sep 2023
Historique:
received: 12 04 2023
revised: 06 06 2023
accepted: 06 06 2023
medline: 28 8 2023
pubmed: 19 6 2023
entrez: 19 6 2023
Statut: ppublish

Résumé

This study aimed to develop a molecularly imprinted polymer (MIP) sensor using electropolymerization of thiophene acetic acid monomer around template molecules, sulfaguanidine (SGN) and sulfamerazine (SMR), for selective and sensitive detection of both antibiotics. Au nanoparticles were then deposited on the modified electrode surface, and SGN and SMR were extracted from the resulting layer. Surface characterization, changes in the oxidation peak current of both analytes, and investigation of the electrochemical properties of the MIP sensor were examined using scanning electron microscopy, cyclic voltammetry, and differential pulse voltammetry. The developed MIP sensor with Au nanoparticles showed a detection limit of 0.030 µmol L

Identifiants

pubmed: 37336038
pii: S0731-7085(23)00287-X
doi: 10.1016/j.jpba.2023.115518
pii:
doi:

Substances chimiques

Molecularly Imprinted Polymers 0
Sulfamerazine UR1SAB295F
Sulfaguanidine 15XQ8043FN
Gold 7440-57-5
Zinc Oxide SOI2LOH54Z

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

115518

Informations de copyright

Copyright © 2023 Elsevier B.V. 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

İzzet Koçak (İ)

Zonguldak Bülent Ecevit University Faculty of Pharmacy, Zonguldak, Turkey. Electronic address: izzetkocak@beun.edu.tr.

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Classifications MeSH