A simple strategy for the synthesis of flower-like textures of Au-ZnO anchored carbon nanocomposite towards the high-performance electrochemical sensing of sunset yellow.

Electrochemical detection Graphene oxide Metal oxides Square wave voltammetry Sunset yellow

Journal

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

Informations de publication

Date de publication:
18 Apr 2020
Historique:
received: 07 01 2020
revised: 26 03 2020
accepted: 17 04 2020
pubmed: 25 4 2020
medline: 25 4 2020
entrez: 25 4 2020
Statut: aheadofprint

Résumé

Consumption of sunset yellow (SY) above a certain concentration through food products may leads to adverse health issues. Therefore, it is imperative to develop technologies for rapid and selective detection of SY. Herein, a flower-like reduced graphene oxide (rGO)-graphitic carbon nitride (g-CN)/ZnO-Au nanoparticle (NPs) has been prepared and utilized for the specific detection of SY. The fabricated rGO-g-CN/ZnO-AuNPs composite was characterized and investigated by XRD, FTIR, SEM, TEM, XPS, EIS, and voltammetry techniques. Characterization techniques elucidated the deposition of ZnO-AuNPs on to the rGO-g-CN and successful fabrication of rGO-g-CN/ZnO-AuNPs composite. rGO-g-CN/ZnO-AuNPs composite possesses excellent catalytic activity for the oxidation of SY. Developed rGO-g-CN/ZnO-AuNPs sensor exhibits LOD of 1.34 nM for SY concentrations ranging from 5 to 85 nM. Noteworthily, the sensor has been successfully employed for the detection and recovery of SY in real-time samples. Fabricated composite opens up new avenues to develop electrochemical sensor for food safety.

Identifiants

pubmed: 32330645
pii: S0308-8146(20)30710-X
doi: 10.1016/j.foodchem.2020.126848
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

126848

Informations de copyright

Copyright © 2020 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

A T Ezhil Vilian (AT)

Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul 100-715, Republic of Korea.

Sung-Min Kang (SM)

Department of Biological Engineering, Inha University, Incheon 22212, Republic of Korea.

Seo Yeong Oh (S)

Department of Biological Engineering, Inha University, Incheon 22212, Republic of Korea.

Cheol Woo Oh (C)

Department of Biological Engineering, Inha University, Incheon 22212, Republic of Korea.

Reddicherla Umapathi (R)

Department of Biological Engineering, Inha University, Incheon 22212, Republic of Korea.

Yun Suk Huh (Y)

Department of Biological Engineering, Inha University, Incheon 22212, Republic of Korea. Electronic address: yunsuk.huh@inha.ac.kr.

Young-Kyu Han (YK)

Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul 100-715, Republic of Korea. Electronic address: ykenergy@dongguk.edu.

Classifications MeSH