Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system

Autores
Dominguez, Marina Alejandra; Gonçalves Dias Diniz, Paulo Henrique; Di Nezio, Maria Susana; Ugulino de Araújo, Mário César; Centurión, María Eugenia
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper a geographic origin classification of honey samples from Argentina was proposed. For this reason, a conventional flow-batch system with a simple webcam to capture digital images was employed. In this methodology, analytical information is generated from color histograms obtained from the digital images employing different color models (RGB (red-green-blue), HSB (hue-saturation-brightness) and Grayscale). Three chemometric tools were employed for geographic origin classification (SPA-LDA (successive projections algorithm-linear discriminant analysis), SIMCA (soft independent modeling for class analogy), and PLS-DA (partial least squares-discriminant analysis)). The proposedmethod is a good option to be used in quality control laboratories for the classification of honey samples according to their geographical origin.
Fil: Dominguez, Marina Alejandra. Universidad Nacional del Sur. Departamento de Quimica. Quimica Analitica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina
Fil: Gonçalves Dias Diniz, Paulo Henrique . Universidade Federal da Paraiba; Brasil
Fil: Di Nezio, Maria Susana. Universidad Nacional del Sur. Departamento de Quimica. Quimica Analitica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina
Fil: Ugulino de Araújo, Mário César . Universidade Federal da Paraiba; Brasil
Fil: Centurión, María Eugenia. Universidad Nacional del Sur. Departamento de Quimica. Quimica Analitica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina
Materia
Honey
Classification
Flow-Batch
Digital Image
Geographical Origin
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/5470
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Geographical origin classification of Argentinean honeys using a digital image-based flow-batch systemDominguez, Marina AlejandraGonçalves Dias Diniz, Paulo Henrique Di Nezio, Maria SusanaUgulino de Araújo, Mário César Centurión, María EugeniaHoneyClassificationFlow-BatchDigital ImageGeographical Originhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1In this paper a geographic origin classification of honey samples from Argentina was proposed. For this reason, a conventional flow-batch system with a simple webcam to capture digital images was employed. In this methodology, analytical information is generated from color histograms obtained from the digital images employing different color models (RGB (red-green-blue), HSB (hue-saturation-brightness) and Grayscale). Three chemometric tools were employed for geographic origin classification (SPA-LDA (successive projections algorithm-linear discriminant analysis), SIMCA (soft independent modeling for class analogy), and PLS-DA (partial least squares-discriminant analysis)). The proposedmethod is a good option to be used in quality control laboratories for the classification of honey samples according to their geographical origin.Fil: Dominguez, Marina Alejandra. Universidad Nacional del Sur. Departamento de Quimica. Quimica Analitica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; ArgentinaFil: Gonçalves Dias Diniz, Paulo Henrique . Universidade Federal da Paraiba; BrasilFil: Di Nezio, Maria Susana. Universidad Nacional del Sur. Departamento de Quimica. Quimica Analitica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; ArgentinaFil: Ugulino de Araújo, Mário César . Universidade Federal da Paraiba; BrasilFil: Centurión, María Eugenia. Universidad Nacional del Sur. Departamento de Quimica. Quimica Analitica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; ArgentinaElsevier2013-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/5470Dominguez, Marina Alejandra; Gonçalves Dias Diniz, Paulo Henrique ; Di Nezio, Maria Susana; Ugulino de Araújo, Mário César ; Centurión, María Eugenia; Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system; Elsevier; Microchemical Journal; 112; 10-2013; 104-1080026-265Xenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0026265X1300163Xinfo:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2013.09.008info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T09:59:12Zoai:ri.conicet.gov.ar:11336/5470instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-05 09:59:12.413CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system
title Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system
spellingShingle Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system
Dominguez, Marina Alejandra
Honey
Classification
Flow-Batch
Digital Image
Geographical Origin
title_short Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system
title_full Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system
title_fullStr Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system
title_full_unstemmed Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system
title_sort Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system
dc.creator.none.fl_str_mv Dominguez, Marina Alejandra
Gonçalves Dias Diniz, Paulo Henrique
Di Nezio, Maria Susana
Ugulino de Araújo, Mário César
Centurión, María Eugenia
author Dominguez, Marina Alejandra
author_facet Dominguez, Marina Alejandra
Gonçalves Dias Diniz, Paulo Henrique
Di Nezio, Maria Susana
Ugulino de Araújo, Mário César
Centurión, María Eugenia
author_role author
author2 Gonçalves Dias Diniz, Paulo Henrique
Di Nezio, Maria Susana
Ugulino de Araújo, Mário César
Centurión, María Eugenia
author2_role author
author
author
author
dc.subject.none.fl_str_mv Honey
Classification
Flow-Batch
Digital Image
Geographical Origin
topic Honey
Classification
Flow-Batch
Digital Image
Geographical Origin
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this paper a geographic origin classification of honey samples from Argentina was proposed. For this reason, a conventional flow-batch system with a simple webcam to capture digital images was employed. In this methodology, analytical information is generated from color histograms obtained from the digital images employing different color models (RGB (red-green-blue), HSB (hue-saturation-brightness) and Grayscale). Three chemometric tools were employed for geographic origin classification (SPA-LDA (successive projections algorithm-linear discriminant analysis), SIMCA (soft independent modeling for class analogy), and PLS-DA (partial least squares-discriminant analysis)). The proposedmethod is a good option to be used in quality control laboratories for the classification of honey samples according to their geographical origin.
Fil: Dominguez, Marina Alejandra. Universidad Nacional del Sur. Departamento de Quimica. Quimica Analitica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina
Fil: Gonçalves Dias Diniz, Paulo Henrique . Universidade Federal da Paraiba; Brasil
Fil: Di Nezio, Maria Susana. Universidad Nacional del Sur. Departamento de Quimica. Quimica Analitica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina
Fil: Ugulino de Araújo, Mário César . Universidade Federal da Paraiba; Brasil
Fil: Centurión, María Eugenia. Universidad Nacional del Sur. Departamento de Quimica. Quimica Analitica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Química del Sur; Argentina
description In this paper a geographic origin classification of honey samples from Argentina was proposed. For this reason, a conventional flow-batch system with a simple webcam to capture digital images was employed. In this methodology, analytical information is generated from color histograms obtained from the digital images employing different color models (RGB (red-green-blue), HSB (hue-saturation-brightness) and Grayscale). Three chemometric tools were employed for geographic origin classification (SPA-LDA (successive projections algorithm-linear discriminant analysis), SIMCA (soft independent modeling for class analogy), and PLS-DA (partial least squares-discriminant analysis)). The proposedmethod is a good option to be used in quality control laboratories for the classification of honey samples according to their geographical origin.
publishDate 2013
dc.date.none.fl_str_mv 2013-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/5470
Dominguez, Marina Alejandra; Gonçalves Dias Diniz, Paulo Henrique ; Di Nezio, Maria Susana; Ugulino de Araújo, Mário César ; Centurión, María Eugenia; Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system; Elsevier; Microchemical Journal; 112; 10-2013; 104-108
0026-265X
url http://hdl.handle.net/11336/5470
identifier_str_mv Dominguez, Marina Alejandra; Gonçalves Dias Diniz, Paulo Henrique ; Di Nezio, Maria Susana; Ugulino de Araújo, Mário César ; Centurión, María Eugenia; Geographical origin classification of Argentinean honeys using a digital image-based flow-batch system; Elsevier; Microchemical Journal; 112; 10-2013; 104-108
0026-265X
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0026265X1300163X
info:eu-repo/semantics/altIdentifier/doi/
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2013.09.008
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1847977410736160768
score 13.087074

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