Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Vision

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Gold nanoparticles in their colloidal state have different colors, and the equipment for their characterization, such as UV-Vis spectrophotometers, scanning electron microscopy (SEM), and transmission electron microscopy (TEM), has high costs. The research aimed to characterize metallic gold nanopar...

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Detalles Bibliográficos
Autores: Márquez Camarena, Javier Francisco, Carbajal Morán, Hipólito, Galván Maldonado, Carlos Abel
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Nacional de Huancavelica
Repositorio:UNH-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.unh.edu.pe:20.500.14597/9161
Enlace del recurso:https://doi.org/10.12912/27197050/178403
https://hdl.handle.net/20.500.14597/9161
Nivel de acceso:acceso abierto
Materia:Gold metal nanoparticles
Color characterization
Artificial vision
Spectrophotometry
Optical microscopy
https://purl.org/pe-repo/ocde/ford#1.05.08
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dc.title.none.fl_str_mv Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Vision
title Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Vision
spellingShingle Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Vision
Márquez Camarena, Javier Francisco
Gold metal nanoparticles
Color characterization
Artificial vision
Spectrophotometry
Optical microscopy
https://purl.org/pe-repo/ocde/ford#1.05.08
title_short Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Vision
title_full Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Vision
title_fullStr Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Vision
title_full_unstemmed Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Vision
title_sort Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Vision
author Márquez Camarena, Javier Francisco
author_facet Márquez Camarena, Javier Francisco
Carbajal Morán, Hipólito
Galván Maldonado, Carlos Abel
author_role author
author2 Carbajal Morán, Hipólito
Galván Maldonado, Carlos Abel
author2_role author
author
dc.contributor.author.fl_str_mv Márquez Camarena, Javier Francisco
Carbajal Morán, Hipólito
Galván Maldonado, Carlos Abel
dc.subject.none.fl_str_mv Gold metal nanoparticles
Color characterization
Artificial vision
Spectrophotometry
Optical microscopy
topic Gold metal nanoparticles
Color characterization
Artificial vision
Spectrophotometry
Optical microscopy
https://purl.org/pe-repo/ocde/ford#1.05.08
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.08
description Gold nanoparticles in their colloidal state have different colors, and the equipment for their characterization, such as UV-Vis spectrophotometers, scanning electron microscopy (SEM), and transmission electron microscopy (TEM), has high costs. The research aimed to characterize metallic gold nanoparticles by artificial vision based on the color of the samples in the colloidal state. The sensor used for the sampling was a 50 MP triple-lens camera with the optical image stabilization (OIS) of a smartphone. The Vision Acquisition and Vision Assistant blocks in the NI LabVIEW platform were used to implement an artificial vision device. The camera interface was used to identify the color of each of the 10 samples of colloidal gold nanoparticles produced by the YAG laser and chemical reduction in 15 ml of deionized water. The characterization consisted of the determination of the size and concentration of the gold nanoparticles based on their color, which ranged from pink to red wine. As a result, the artificial vision device adequately identified the color of the metallic gold nanoparticles in a colloidal state with a certainty of more than 95%, allowing the nanoparticles to be adequately characterized. Therefore, it is concluded that artificial vision adequately characterized gold nanoparticles' wavelength, absorbance, diameter, and concentration.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2025-06-06T22:00:06Z
dc.date.available.none.fl_str_mv 2025-06-06T22:00:06Z
dc.date.issued.fl_str_mv 2024-01-26
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.doi.none.fl_str_mv https://doi.org/10.12912/27197050/178403
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.14597/9161
url https://doi.org/10.12912/27197050/178403
https://hdl.handle.net/20.500.14597/9161
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.issn.none.fl_str_mv 2719-7050
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
dc.publisher.none.fl_str_mv Polskie Towarzystwo Inżynierii Ekologicznej
publisher.none.fl_str_mv Polskie Towarzystwo Inżynierii Ekologicznej
dc.source.none.fl_str_mv reponame:UNH-Institucional
instname:Universidad Nacional de Huancavelica
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institution UNH
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spelling Márquez Camarena, Javier FranciscoCarbajal Morán, HipólitoGalván Maldonado, Carlos Abel2025-06-06T22:00:06Z2025-06-06T22:00:06Z2024-01-26Gold nanoparticles in their colloidal state have different colors, and the equipment for their characterization, such as UV-Vis spectrophotometers, scanning electron microscopy (SEM), and transmission electron microscopy (TEM), has high costs. The research aimed to characterize metallic gold nanoparticles by artificial vision based on the color of the samples in the colloidal state. The sensor used for the sampling was a 50 MP triple-lens camera with the optical image stabilization (OIS) of a smartphone. The Vision Acquisition and Vision Assistant blocks in the NI LabVIEW platform were used to implement an artificial vision device. The camera interface was used to identify the color of each of the 10 samples of colloidal gold nanoparticles produced by the YAG laser and chemical reduction in 15 ml of deionized water. The characterization consisted of the determination of the size and concentration of the gold nanoparticles based on their color, which ranged from pink to red wine. As a result, the artificial vision device adequately identified the color of the metallic gold nanoparticles in a colloidal state with a certainty of more than 95%, allowing the nanoparticles to be adequately characterized. Therefore, it is concluded that artificial vision adequately characterized gold nanoparticles' wavelength, absorbance, diameter, and concentration.https://doi.org/10.12912/27197050/178403https://hdl.handle.net/20.500.14597/9161engPolskie Towarzystwo Inżynierii Ekologicznej2719-7050info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Gold metal nanoparticlesColor characterizationArtificial visionSpectrophotometryOptical microscopyhttps://purl.org/pe-repo/ocde/ford#1.05.08Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Visioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:UNH-Institucionalinstname:Universidad Nacional de Huancavelicainstacron:UNHORIGINALCharacterization of.pdfCharacterization of.pdfapplication/pdf4413555https://repositorio.unh.edu.pe/bitstreams/af84bcf1-f751-4a15-82cf-5fe9758a8727/download9e6bb23e6fbabe94a1ef44c001620646MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.unh.edu.pe/bitstreams/b43b63fb-a1bb-41c1-bbdb-f2594c85c650/download8a4605be74aa9ea9d79846c1fba20a33MD5220.500.14597/9161oai:repositorio.unh.edu.pe:20.500.14597/91612025-10-27 14:56:05.442https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttps://repositorio.unh.edu.peUniversidad Nacional de Huancavelicarepositorio@unh.edu.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