Detalhes bibliográficos
Ano de defesa: |
2021 |
Autor(a) principal: |
CAIO ROCHA NUNES REIS |
Orientador(a): |
Alem Mar Bernardes Goncalves |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Fundação Universidade Federal de Mato Grosso do Sul
|
Programa de Pós-Graduação: |
Não Informado pela instituição
|
Departamento: |
Não Informado pela instituição
|
País: |
Brasil
|
Palavras-chave em Português: |
|
Link de acesso: |
https://repositorio.ufms.br/handle/123456789/4315
|
Resumo: |
The development of research and technological applications that are somehow based on the working mechanism of at least one of the five human senses has its origins in the 1940s. However, it was only after 1993 that it was possible to develop the first models of electronic language: devices inspired by the human taste, equipped with sensors with high selectivity capable of producing unique electrical signatures for each substance analyzed with the help of some mathematical analysis method that facilitates pattern recognition. In this work, a potential sensor for electronic tongue was developed using laser reduced graphene oxide films and the Principal Component Analysis (PCA). Five solvents (DI-water, ethanol, ethylene glycol, dimethylformamide and acetone) were used to study the efficiency of the sensor and help to understand the physical-chemical mechanisms involved in the transduction process. In addition to solvents, the sensors proved to be efficient in separating samples of absolute and adulterated ethanol. |