Colorimetric Detection of Antioxidants in Food Samples Using MnO2/Graphene Quantum Dot Composites with Oxidase-like Activity

Autor(es)

Facure, Murilo H. M. ; Andre, Rafaela S. ; Mercante, Luiza A. ; Correa, Daniel S.

• Tipo de documento: Artigo Científico
• Fonte: ACS APPLIED NANO MATERIALS; v. 5, n. 10, p. 9-pg., 2022-09-26.

Resumo

Recently, strategies for developing colorimetric sensors relying on nanozymes for the detection of analytes of health, food, and environmental interest have gained significant importance. Herein, a rapid and sensitive colorimetric assay based on manganese dioxide/graphene quantum dot (MnO2/GQD) composites was developed for the detection of antioxidants in food. The composite, synthesized by a hydrothermal method, served as a nanozyme with outstanding oxidase-like catalytic activity to trigger the 3,3 ',5,5 '-tetramethybenzidine (TMB) chromogenic reaction. Then, an assay was performed to evaluate the reducing ability of antioxidants toward oxTMB by detecting color changes during the procedure. The colorimetric method achieved high selectivity and sensitivity toward the detection of gallic acid, tannic acid, and ascorbic acid with detection limits (S/N = 3) of 0.07, 0.28, and 0.69 mu mol L-1, respectively. Moreover, the assay was used to accurately measure and discriminate the antioxidants in real food samples, revealing its great promise for portable and rapid food analysis. (AU)

• Processo FAPESP: 16/23793-4 - Desenvolvimento de sensores nanoestruturados visando a detecção de compostos voláteis indicadores da qualidade de alimentos
• Beneficiário: Rafaela da Silveira Andre
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 17/10582-8 - Produção e caracterização de quantum dots de grafeno e sua aplicação em sensores químicos
• Beneficiário: Murilo Henrique Moreira Facure
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 18/22214-6 - Rumo à convergência de tecnologias: de sensores e biossensores à visualização de informação e aprendizado de máquina para análise de dados em diagnóstico clínico
• Beneficiário: Osvaldo Novais de Oliveira Junior
• Modalidade de apoio: Auxílio à Pesquisa - Temático