Detalhes bibliográficos
Ano de defesa: |
2019 |
Autor(a) principal: |
SOARES, Leonardo Carvalho
 |
Orientador(a): |
DAMOS, Flávio Santos
 |
Banca de defesa: |
DAMOS, Flávio Santos
,
SILVA, Iranaldo Santos da
,
ARAÚJO, Adriana Barbosa
 |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal do Maranhão
|
Programa de Pós-Graduação: |
PROGRAMA DE PÓS-GRADUAÇÃO EM QUÍMICA/CCET
|
Departamento: |
DEPARTAMENTO DE QUÍMICA/CCET
|
País: |
Brasil
|
Palavras-chave em Português: |
|
Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
|
Link de acesso: |
https://tedebc.ufma.br/jspui/handle/tede/2683
|
Resumo: |
This work describes the development of a novel method for glucose detection exploiting a photoelectrochemical-assisted batch injection analysis cell designed and constructed with aid of 3D printer technology. The PEC-BIA cell was coupled to a LED lamp in order to control the incidence of light on the Cu2O/Ni(OH)2/FTO photoelectro-active platform. The electrochemical characteristics of Cu2O/Ni(OH)2/FTO photoelec-troactive platform were evaluated by cyclic voltammetry, amperometry and electro-chemical impedance spectroscopy. The PEC-BIA cell presented linear response range, limit of detection and sensitivity of 1 – 1000 μmol L-1, 0.59 mol L-1 and 0.578 A L mol-1, respectively. The PEC-BIA method has presented a mean value of the recovery values of 97.0 % to 102.0% when it was applied to glucose determination in artificial blood plasma samples which indicates the promising performance of the proposed sys-tem to determine glucose. |