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Disposable p-coumaric acid sensor containing reduced graphene oxide, nickel nanoparticles and biodegradable molecularly imprinted polymer for fruit peel analysis

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Autor(es):
Buffon, Edervaldo ; Stradiotto, Nelson Ramos
Número total de Autores: 2
Tipo de documento: Artigo Científico
Fonte: Journal of Food Composition and Analysis; v. 118, p. 10-pg., 2023-01-31.
Resumo

This work reports the development of a disposable molecularly imprinted electrochemical sensor based on the electropolymerization of 3-indoleacetic acid on an electrode containing reduced graphene oxide and nickel nanoparticles for the sensitive and selective detection of p-coumaric acid. The molecularly imprinted sensor was characterized by cyclic voltammetry, electrochemical impedance spectroscopy, scanning electron microscopy, energy dispersive X-ray spectroscopy and X-ray photoelectron spectroscopy. The obtained results showed that reduced graphene oxide and nickel nanoparticles increased the sensitivity of the sensor for selective recognition of p-coumaric acid. Under optimal conditions, the developed sensor presented linear concentration ranges from 1.0 x 10-10 to 1.0 x 10-8 mol L-1. The detection and quantification limits calculated for this sensor were 8.1 x 10-11 and 2.7 x 10-10 mol L-1, respectively. The proposed device exhibited excellent selectivity, repeatability and stability over time, as well as good accuracy for the detection of p-coumaric acid. As a proof of concept, the sensor was applied for the determination of this molecule in banana and orange peels. The mean recovery values obtained during the analyses ranged from 96% to 102%, with relative standard deviations of <= 4.8%. (AU)

Processo FAPESP: 19/13818-8 - Desenvolvimento de sensores descartáveis baseados em óxido de grafeno 3D, nanopartículas metálicas e polímeros molecularmente impressos para determinação de ácidos fenólicos em resíduos da fruticultura
Beneficiário:Edervaldo Buffon
Modalidade de apoio: Bolsas no Brasil - Doutorado
Processo FAPESP: 17/22401-8 - Fruto-refinaria: processos de obtenção, métodos de caracterização e geração de produtos oriundos de resíduos da fruticultura
Beneficiário:Nelson Ramos Stradiotto
Modalidade de apoio: Auxílio à Pesquisa - Temático