Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1174052
Título: Theoretical and Experimental Insights into the Chemiresistive Sensing Response of Graphene Quantum Dots: The Role of Oxygen Functional Groups.
Autoria: SAMPAIO, B. S.
FACURE, M. H. M.
ANDRE, R. S.
CORREA, D. S.
ALVES, T. V.
MERCANTE, L. A.
Afiliação: UNIVERSIDADE FEDERAL DA BAHIA (UFBA)
MURILO HENRIQUE MOREIRA FACURE, UNIVERSIDADE FEDERAL DE SÃO CARLOS
RAFAELA DA SILVEIRA ANDRE, UNIVERSIDADE BRASIL
DANIEL SOUZA CORREA, CNPDIA
UNIVERSIDADE FEDERAL DA BAHIA (UFBA)
UNIVERSIDADE FEDERAL DA BAHIA (UFBA).
Ano de publicação: 2025
Referência: ACS Omega, v.10, 2025.
Páginas: 7831−7838
Conteúdo: ABSTRACT: Developing sensitive sensors to trimethylamine (TMA) remains a topic of great interest in areas such as food quality analysis and disease biomarkers. To address this issue, chemiresistive sensors were proposed using graphene quantum dots (GQDs) with different proportions of hydroxyl (GQDs-OH), epoxy (GQDs-epoxy), and carboxyl (GQDs-COOH) groups. These materials exhibited different sensitivities to TMA, with GQDs-OH being the most sensitive, presenting a detection limit of 0.3 ppm and a response of about 4 and 2.5 times higher than those of GQDs-COOH and GQDs-Epoxy, respectively. This difference in sensitivity was elucidated by building, based on density functional theory calculations, potential energy curves of the interaction between TMA and three GQD models. Noncovalent interaction and atoms in molecular analysis were also used to explain the difference in interaction in each model. Our results highlight that the proportion of the oxygen functional groups has a major role in modulating the sensitivity against TMA, with the hydroxyl group providing the greater sensitivity. This was elucidated through computational simulations, which also explained the lower sensitivity of the other materials. Our work serves as a practical guide, demonstrating the importance of coupling computational and experimental methods to achieve a deeper understanding of sensing .
Palavras-chave: Computational Simulations
Synthesis of the GQDs
Digital Object Identifier: https://doi.org/10.1021/acsomega.4c08588
Tipo do material: Artigo de periódico
Acesso: openAccess
Aparece nas coleções:Artigo em periódico indexado (CNPDIA)

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