Copper nanostructures anchored on renewable carbon as electrochemical platform for the detection of dopamine, fluoxetine and escitalopram
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/10.1016/j.snr.2022.100107 http://hdl.handle.net/11449/240218 |
Resumo: | For the first time, renewable carbon (RC) from bamboo-biomass modified with copper nanoparticles (CuNPs) has been prepared via a chemical reduction step for the electroanalytical detection of dopamine (DOP), fluoxetine (FXT) and escitalopram (EST). The synthesized RC–CuNPs nanocomposite morphology and structural composition were characterized by FEG-SEM along with EDS analysis. The electroanalytical behavior of the target analytes was investigated by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The analytical range of detection of DOP, FXT, and EST was 0.05–5.0, 0.1–10, and 0.02–5.0 µmol L−1, respectively. The limits of detection (LOD) were found to be 0.04, 0.05, and 0.25 µmol L−1, respectively. In addition, the standard addition method was used for the detection and recovery of DOP in synthetic human urine and EST in tap water samples. The synergistic effect of CuNPs coupled with the highly porous RC material provided a sensitive, low-cost, and easy to prepare sensing platform for detecting target analytes in clinical and environmental samples. |
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Repositório Institucional da UNESP |
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Copper nanostructures anchored on renewable carbon as electrochemical platform for the detection of dopamine, fluoxetine and escitalopramCopper nanoparticlesDopamineEscitalopramFluoxetineReal samplesRenewable carbonFor the first time, renewable carbon (RC) from bamboo-biomass modified with copper nanoparticles (CuNPs) has been prepared via a chemical reduction step for the electroanalytical detection of dopamine (DOP), fluoxetine (FXT) and escitalopram (EST). The synthesized RC–CuNPs nanocomposite morphology and structural composition were characterized by FEG-SEM along with EDS analysis. The electroanalytical behavior of the target analytes was investigated by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The analytical range of detection of DOP, FXT, and EST was 0.05–5.0, 0.1–10, and 0.02–5.0 µmol L−1, respectively. The limits of detection (LOD) were found to be 0.04, 0.05, and 0.25 µmol L−1, respectively. In addition, the standard addition method was used for the detection and recovery of DOP in synthetic human urine and EST in tap water samples. The synergistic effect of CuNPs coupled with the highly porous RC material provided a sensitive, low-cost, and easy to prepare sensing platform for detecting target analytes in clinical and environmental samples.School of Agriculture São Paulo State University (UNESP) Avenida Universitária, n 3780 – ZIP code 18610-034, SPSchool of Agriculture São Paulo State University (UNESP) Avenida Universitária, n 3780 – ZIP code 18610-034, SPUniversidade Estadual Paulista (UNESP)Trindade, Clara M.B. [UNESP]Silva, Martin K.L. [UNESP]Cesarino, Ivana [UNESP]2023-03-01T20:07:01Z2023-03-01T20:07:01Z2022-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.snr.2022.100107Sensors and Actuators Reports, v. 4.2666-0539http://hdl.handle.net/11449/24021810.1016/j.snr.2022.1001072-s2.0-85131671724Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSensors and Actuators Reportsinfo:eu-repo/semantics/openAccess2023-03-01T20:07:01Zoai:repositorio.unesp.br:11449/240218Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:44:15.360682Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Copper nanostructures anchored on renewable carbon as electrochemical platform for the detection of dopamine, fluoxetine and escitalopram |
title |
Copper nanostructures anchored on renewable carbon as electrochemical platform for the detection of dopamine, fluoxetine and escitalopram |
spellingShingle |
Copper nanostructures anchored on renewable carbon as electrochemical platform for the detection of dopamine, fluoxetine and escitalopram Trindade, Clara M.B. [UNESP] Copper nanoparticles Dopamine Escitalopram Fluoxetine Real samples Renewable carbon |
title_short |
Copper nanostructures anchored on renewable carbon as electrochemical platform for the detection of dopamine, fluoxetine and escitalopram |
title_full |
Copper nanostructures anchored on renewable carbon as electrochemical platform for the detection of dopamine, fluoxetine and escitalopram |
title_fullStr |
Copper nanostructures anchored on renewable carbon as electrochemical platform for the detection of dopamine, fluoxetine and escitalopram |
title_full_unstemmed |
Copper nanostructures anchored on renewable carbon as electrochemical platform for the detection of dopamine, fluoxetine and escitalopram |
title_sort |
Copper nanostructures anchored on renewable carbon as electrochemical platform for the detection of dopamine, fluoxetine and escitalopram |
author |
Trindade, Clara M.B. [UNESP] |
author_facet |
Trindade, Clara M.B. [UNESP] Silva, Martin K.L. [UNESP] Cesarino, Ivana [UNESP] |
author_role |
author |
author2 |
Silva, Martin K.L. [UNESP] Cesarino, Ivana [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Trindade, Clara M.B. [UNESP] Silva, Martin K.L. [UNESP] Cesarino, Ivana [UNESP] |
dc.subject.por.fl_str_mv |
Copper nanoparticles Dopamine Escitalopram Fluoxetine Real samples Renewable carbon |
topic |
Copper nanoparticles Dopamine Escitalopram Fluoxetine Real samples Renewable carbon |
description |
For the first time, renewable carbon (RC) from bamboo-biomass modified with copper nanoparticles (CuNPs) has been prepared via a chemical reduction step for the electroanalytical detection of dopamine (DOP), fluoxetine (FXT) and escitalopram (EST). The synthesized RC–CuNPs nanocomposite morphology and structural composition were characterized by FEG-SEM along with EDS analysis. The electroanalytical behavior of the target analytes was investigated by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The analytical range of detection of DOP, FXT, and EST was 0.05–5.0, 0.1–10, and 0.02–5.0 µmol L−1, respectively. The limits of detection (LOD) were found to be 0.04, 0.05, and 0.25 µmol L−1, respectively. In addition, the standard addition method was used for the detection and recovery of DOP in synthetic human urine and EST in tap water samples. The synergistic effect of CuNPs coupled with the highly porous RC material provided a sensitive, low-cost, and easy to prepare sensing platform for detecting target analytes in clinical and environmental samples. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-01 2023-03-01T20:07:01Z 2023-03-01T20:07:01Z |
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/10.1016/j.snr.2022.100107 Sensors and Actuators Reports, v. 4. 2666-0539 http://hdl.handle.net/11449/240218 10.1016/j.snr.2022.100107 2-s2.0-85131671724 |
url |
http://dx.doi.org/10.1016/j.snr.2022.100107 http://hdl.handle.net/11449/240218 |
identifier_str_mv |
Sensors and Actuators Reports, v. 4. 2666-0539 10.1016/j.snr.2022.100107 2-s2.0-85131671724 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Sensors and Actuators Reports |
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 |
|
_version_ |
1808128410563641344 |