Marcelo Rodrigues da Silva Pelissari

Dr. Marcelo Rodrigues da Silva Pelissari

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Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 February 2021 in Electrocatalysis
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Journal Article
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MPMarcelo Rodrigues da Silva Pelissari
Marcelo Rodrigues da Silva Pelissari
NNNilton Francelosi Azevedo Neto
Nilton Francelosi Azevedo Neto
Luan Pereira CamargoLuan Pereira Camargo
Luan Pereira Camargo
Luiz Henrique Dall AntoniaLuiz Henrique Dall Antonia
Luiz Henrique Dall Antonia

24 January 2019 in Ionics
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MPMarcelo Rodrigues da Silva Pelissari
Marcelo Rodrigues da Silva Pelissari
EAEdson Archela
Edson Archela
CTCesar Ricardo Teixeira Tarley
Cesar Ricardo Teixeira Tarley
Luiz Henrique Dall AntoniaLuiz Henrique Dall Antonia
Luiz Henrique Dall Antonia

28 September 2022 in Molecules
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Luan Pereira CamargoLuan Pereira Camargo
Luan Pereira Camargo
MPMarcelo Rodrigues da Silva Pelissari
Marcelo Rodrigues da Silva Pelissari
PSPaulo Rogerio Catarini da Silva
Paulo Rogerio Catarini da Silva
Augusto Batagin-NetoAugusto Batagin-Neto
Augusto Batagin-Neto
Roberta Antigo MedeirosRoberta Antigo Medeiros
Roberta Antigo Medeiros
Luiz Henrique Dall AntoniaLuiz Henrique Dall Antonia
Luiz Henrique Dall Antonia
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.

28 January 2021 in Ionics
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NNNilton Francelosi Azevedo Neto
Nilton Francelosi Azevedo Neto
APAndré Luiz de Jesus Pereira
André Luiz de Jesus Pereira
DLDouglas Marcel Gonçalves Leite
Douglas Marcel Gonçalves Leite
JSJosé Humberto Dias da Silva
José Humberto Dias da Silva
MPMarcelo Rodrigues da Silva Pelissari
Marcelo Rodrigues da Silva Pelissari

17 March 2023 in Coloration Technology
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MPMarcelo Rodrigues da Silva Pelissari
Marcelo Rodrigues da Silva Pelissari
Luan Pereira CamargoLuan Pereira Camargo
Luan Pereira Camargo
FPFenelon Martinho Lima Pontes
Fenelon Martinho Lima Pontes
Luiz Henrique Dall AntoniaLuiz Henrique Dall Antonia
Luiz Henrique Dall Antonia

4 January 2020 in Journal of Materials Science: Materials in Electronics
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Journal Article
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MPMarcelo Rodrigues da Silva Pelissari
Marcelo Rodrigues da Silva Pelissari
LSL. V. A. Scalvi
L. V. A. Scalvi
VNV. S. L. Neto
V. S. L. Neto
Luiz Henrique Dall AntoniaLuiz Henrique Dall Antonia
Luiz Henrique Dall Antonia