Visible Light Photoelectrochemical Sensor for Dopamine: Determination Using Iron Vanadate Modified Electrode
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/molecules27196410 http://hdl.handle.net/11449/246071 |
Resumo: | This study reports a facile approach for constructing low-cost and remarkable electroactivity iron vanadate (Fe-V-O) semiconductor material to be used as a photoelectrochemical sensor for dopamine detection. The structure and morphology of the iron vanadate obtained by the Successive Ionic Adsorption and Reaction process were critically characterized, and the photoelectrochemical characterization showed a high photoelectroactivity of the photoanode in visible light irradiation. Under best conditions, dopamine was detected by chronoamperometry at +0.35 V vs. Ag/AgCl, achieving two linear response ranges (between 1.21 and 30.32 μmol L−1, and between 30.32 and 72.77 μmol L−1). The limits of detection and quantification were 0.34 and 1.12 μmol L−1, respectively. Besides, the accuracy of the proposed electrode was assessed by determining dopamine in artificial cerebrospinal fluid, obtaining recovery values ranging from 98.7 to 102.4%. The selectivity was also evaluated by dopamine detection against several interferent species, demonstrating good precision and promising application for the proposed method. Furthermore, DFT-based electronic structure calculations were also conducted to help the interpretation. The dominant dopamine species were determined according to the experimental conditions, and their interaction with the iron vanadate photoanode was proposed. The improved light-induced DOP detection was likewise evaluated regarding the charge transfer process. |
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Visible Light Photoelectrochemical Sensor for Dopamine: Determination Using Iron Vanadate Modified ElectrodeFe2V4O13FeVO4ITO electrodelevodopanon-enzymatic sensorThis study reports a facile approach for constructing low-cost and remarkable electroactivity iron vanadate (Fe-V-O) semiconductor material to be used as a photoelectrochemical sensor for dopamine detection. The structure and morphology of the iron vanadate obtained by the Successive Ionic Adsorption and Reaction process were critically characterized, and the photoelectrochemical characterization showed a high photoelectroactivity of the photoanode in visible light irradiation. Under best conditions, dopamine was detected by chronoamperometry at +0.35 V vs. Ag/AgCl, achieving two linear response ranges (between 1.21 and 30.32 μmol L−1, and between 30.32 and 72.77 μmol L−1). The limits of detection and quantification were 0.34 and 1.12 μmol L−1, respectively. Besides, the accuracy of the proposed electrode was assessed by determining dopamine in artificial cerebrospinal fluid, obtaining recovery values ranging from 98.7 to 102.4%. The selectivity was also evaluated by dopamine detection against several interferent species, demonstrating good precision and promising application for the proposed method. Furthermore, DFT-based electronic structure calculations were also conducted to help the interpretation. The dominant dopamine species were determined according to the experimental conditions, and their interaction with the iron vanadate photoanode was proposed. The improved light-induced DOP detection was likewise evaluated regarding the charge transfer process.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Departamento de Química/CCE/UEL State University of Londrina (UEL)Graduated Program in Chemistry State University of Londrina (UEL)National Institute of Science Technology in Bioanalytic (INCTBio)Faculdade de Engenharia CTI São Paulo State University (UNESP)Departamento de Física/CCE/UEL State University of Londrina (UEL)Instituto de Ciências e Engenharia São Paulo State University (UNESP)Departamento de Neurocirurgia Centro de Ciências da Saúde State University of Londrina (UEL)Faculdade de Engenharia CTI São Paulo State University (UNESP)Instituto de Ciências e Engenharia São Paulo State University (UNESP)CNPq: 465389/2014-7Universidade Estadual de Londrina (UEL)National Institute of Science Technology in Bioanalytic (INCTBio)Universidade Estadual Paulista (UNESP)Camargo, Luan Pereirada Silva Pelissari, Marcelo Rodrigues [UNESP]da Silva, Paulo Rogério CatariniBatagin-Neto, Augusto [UNESP]Medeiros, Roberta AntigoDias, Marcos AntônioDall’Antonia, Luiz Henrique2023-07-29T12:30:56Z2023-07-29T12:30:56Z2022-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/molecules27196410Molecules, v. 27, n. 19, 2022.1420-3049http://hdl.handle.net/11449/24607110.3390/molecules271964102-s2.0-85139835823Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMoleculesinfo:eu-repo/semantics/openAccess2023-07-29T12:30:56Zoai:repositorio.unesp.br:11449/246071Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:52:04.222936Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Visible Light Photoelectrochemical Sensor for Dopamine: Determination Using Iron Vanadate Modified Electrode |
title |
Visible Light Photoelectrochemical Sensor for Dopamine: Determination Using Iron Vanadate Modified Electrode |
spellingShingle |
Visible Light Photoelectrochemical Sensor for Dopamine: Determination Using Iron Vanadate Modified Electrode Camargo, Luan Pereira Fe2V4O13 FeVO4 ITO electrode levodopa non-enzymatic sensor |
title_short |
Visible Light Photoelectrochemical Sensor for Dopamine: Determination Using Iron Vanadate Modified Electrode |
title_full |
Visible Light Photoelectrochemical Sensor for Dopamine: Determination Using Iron Vanadate Modified Electrode |
title_fullStr |
Visible Light Photoelectrochemical Sensor for Dopamine: Determination Using Iron Vanadate Modified Electrode |
title_full_unstemmed |
Visible Light Photoelectrochemical Sensor for Dopamine: Determination Using Iron Vanadate Modified Electrode |
title_sort |
Visible Light Photoelectrochemical Sensor for Dopamine: Determination Using Iron Vanadate Modified Electrode |
author |
Camargo, Luan Pereira |
author_facet |
Camargo, Luan Pereira da Silva Pelissari, Marcelo Rodrigues [UNESP] da Silva, Paulo Rogério Catarini Batagin-Neto, Augusto [UNESP] Medeiros, Roberta Antigo Dias, Marcos Antônio Dall’Antonia, Luiz Henrique |
author_role |
author |
author2 |
da Silva Pelissari, Marcelo Rodrigues [UNESP] da Silva, Paulo Rogério Catarini Batagin-Neto, Augusto [UNESP] Medeiros, Roberta Antigo Dias, Marcos Antônio Dall’Antonia, Luiz Henrique |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Londrina (UEL) National Institute of Science Technology in Bioanalytic (INCTBio) Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Camargo, Luan Pereira da Silva Pelissari, Marcelo Rodrigues [UNESP] da Silva, Paulo Rogério Catarini Batagin-Neto, Augusto [UNESP] Medeiros, Roberta Antigo Dias, Marcos Antônio Dall’Antonia, Luiz Henrique |
dc.subject.por.fl_str_mv |
Fe2V4O13 FeVO4 ITO electrode levodopa non-enzymatic sensor |
topic |
Fe2V4O13 FeVO4 ITO electrode levodopa non-enzymatic sensor |
description |
This study reports a facile approach for constructing low-cost and remarkable electroactivity iron vanadate (Fe-V-O) semiconductor material to be used as a photoelectrochemical sensor for dopamine detection. The structure and morphology of the iron vanadate obtained by the Successive Ionic Adsorption and Reaction process were critically characterized, and the photoelectrochemical characterization showed a high photoelectroactivity of the photoanode in visible light irradiation. Under best conditions, dopamine was detected by chronoamperometry at +0.35 V vs. Ag/AgCl, achieving two linear response ranges (between 1.21 and 30.32 μmol L−1, and between 30.32 and 72.77 μmol L−1). The limits of detection and quantification were 0.34 and 1.12 μmol L−1, respectively. Besides, the accuracy of the proposed electrode was assessed by determining dopamine in artificial cerebrospinal fluid, obtaining recovery values ranging from 98.7 to 102.4%. The selectivity was also evaluated by dopamine detection against several interferent species, demonstrating good precision and promising application for the proposed method. Furthermore, DFT-based electronic structure calculations were also conducted to help the interpretation. The dominant dopamine species were determined according to the experimental conditions, and their interaction with the iron vanadate photoanode was proposed. The improved light-induced DOP detection was likewise evaluated regarding the charge transfer process. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-01 2023-07-29T12:30:56Z 2023-07-29T12:30:56Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/molecules27196410 Molecules, v. 27, n. 19, 2022. 1420-3049 http://hdl.handle.net/11449/246071 10.3390/molecules27196410 2-s2.0-85139835823 |
url |
http://dx.doi.org/10.3390/molecules27196410 http://hdl.handle.net/11449/246071 |
identifier_str_mv |
Molecules, v. 27, n. 19, 2022. 1420-3049 10.3390/molecules27196410 2-s2.0-85139835823 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Molecules |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808128713424896000 |