Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Vision
Descripción del Articulo
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...
| Autores: | , , |
|---|---|
| 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 |
| id |
RUNH_4d7fa8ea0b3ae7f343c55572f52fa6d6 |
|---|---|
| oai_identifier_str |
oai:repositorio.unh.edu.pe:20.500.14597/9161 |
| network_acronym_str |
RUNH |
| network_name_str |
UNH-Institucional |
| repository_id_str |
. |
| 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 instacron:UNH |
| instname_str |
Universidad Nacional de Huancavelica |
| instacron_str |
UNH |
| institution |
UNH |
| reponame_str |
UNH-Institucional |
| collection |
UNH-Institucional |
| bitstream.url.fl_str_mv |
https://repositorio.unh.edu.pe/bitstreams/af84bcf1-f751-4a15-82cf-5fe9758a8727/download https://repositorio.unh.edu.pe/bitstreams/b43b63fb-a1bb-41c1-bbdb-f2594c85c650/download |
| bitstream.checksum.fl_str_mv |
9e6bb23e6fbabe94a1ef44c001620646 8a4605be74aa9ea9d79846c1fba20a33 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
| repository.name.fl_str_mv |
Universidad Nacional de Huancavelica |
| repository.mail.fl_str_mv |
repositorio@unh.edu.pe |
| _version_ |
1847503175879229440 |
| 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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 |
| score |
13.395044 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).