Application of digital images to determine color in honey samples from Argentina

Autores
Dominguez, Marina Alejandra; Centurión, María Eugenia
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Honey color is the first quality attribute evaluated by consumers and is an important sensory property in the beekeeping market. The most commonly used method for color determination is based on optical comparison, employing a Pfund colorimeter. This method is laborious, time consuming and is based on a subjective assessment. In order to obtain a fast and objective measurement of honey color, an analytical method based on digital images analysis combined with multivariate calibration (Partial Least Squares) was developed. Three color models, RGB (red-green-blue), HSB (hue-saturation-brightness) and Grayscale, were used to analyze the digital images. The optimum results were obtained by using HSB color model (r2=0.97 and RMSEP=2.46), indicating that the digital image analysis combined with multivariate calibration is an excellent strategy for quantifying color in honey samples.
Fil: Dominguez, Marina Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Centurión, María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Materia
Color
Digital Image
Honey
Multivariate Calibration
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:11336/37862
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Application of digital images to determine color in honey samples from ArgentinaDominguez, Marina AlejandraCenturión, María EugeniaColorDigital ImageHoneyMultivariate Calibrationhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Honey color is the first quality attribute evaluated by consumers and is an important sensory property in the beekeeping market. The most commonly used method for color determination is based on optical comparison, employing a Pfund colorimeter. This method is laborious, time consuming and is based on a subjective assessment. In order to obtain a fast and objective measurement of honey color, an analytical method based on digital images analysis combined with multivariate calibration (Partial Least Squares) was developed. Three color models, RGB (red-green-blue), HSB (hue-saturation-brightness) and Grayscale, were used to analyze the digital images. The optimum results were obtained by using HSB color model (r2=0.97 and RMSEP=2.46), indicating that the digital image analysis combined with multivariate calibration is an excellent strategy for quantifying color in honey samples.Fil: Dominguez, Marina Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Centurión, María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaElsevier Science2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/37862Dominguez, Marina Alejandra; Centurión, María Eugenia; Application of digital images to determine color in honey samples from Argentina; Elsevier Science; Microchemical Journal; 118; 1-2015; 110-1140026-265XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2014.08.002info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0026265X14001623info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:28:07Zoai:ri.conicet.gov.ar:11336/37862instacron: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:34982025-09-17 11:28:08.131CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Application of digital images to determine color in honey samples from Argentina
title Application of digital images to determine color in honey samples from Argentina
spellingShingle Application of digital images to determine color in honey samples from Argentina
Dominguez, Marina Alejandra
Color
Digital Image
Honey
Multivariate Calibration
title_short Application of digital images to determine color in honey samples from Argentina
title_full Application of digital images to determine color in honey samples from Argentina
title_fullStr Application of digital images to determine color in honey samples from Argentina
title_full_unstemmed Application of digital images to determine color in honey samples from Argentina
title_sort Application of digital images to determine color in honey samples from Argentina
dc.creator.none.fl_str_mv Dominguez, Marina Alejandra
Centurión, María Eugenia
author Dominguez, Marina Alejandra
author_facet Dominguez, Marina Alejandra
Centurión, María Eugenia
author_role author
author2 Centurión, María Eugenia
author2_role author
dc.subject.none.fl_str_mv Color
Digital Image
Honey
Multivariate Calibration
topic Color
Digital Image
Honey
Multivariate Calibration
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Honey color is the first quality attribute evaluated by consumers and is an important sensory property in the beekeeping market. The most commonly used method for color determination is based on optical comparison, employing a Pfund colorimeter. This method is laborious, time consuming and is based on a subjective assessment. In order to obtain a fast and objective measurement of honey color, an analytical method based on digital images analysis combined with multivariate calibration (Partial Least Squares) was developed. Three color models, RGB (red-green-blue), HSB (hue-saturation-brightness) and Grayscale, were used to analyze the digital images. The optimum results were obtained by using HSB color model (r2=0.97 and RMSEP=2.46), indicating that the digital image analysis combined with multivariate calibration is an excellent strategy for quantifying color in honey samples.
Fil: Dominguez, Marina Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Centurión, María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
description Honey color is the first quality attribute evaluated by consumers and is an important sensory property in the beekeeping market. The most commonly used method for color determination is based on optical comparison, employing a Pfund colorimeter. This method is laborious, time consuming and is based on a subjective assessment. In order to obtain a fast and objective measurement of honey color, an analytical method based on digital images analysis combined with multivariate calibration (Partial Least Squares) was developed. Three color models, RGB (red-green-blue), HSB (hue-saturation-brightness) and Grayscale, were used to analyze the digital images. The optimum results were obtained by using HSB color model (r2=0.97 and RMSEP=2.46), indicating that the digital image analysis combined with multivariate calibration is an excellent strategy for quantifying color in honey samples.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
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/11336/37862
Dominguez, Marina Alejandra; Centurión, María Eugenia; Application of digital images to determine color in honey samples from Argentina; Elsevier Science; Microchemical Journal; 118; 1-2015; 110-114
0026-265X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/37862
identifier_str_mv Dominguez, Marina Alejandra; Centurión, María Eugenia; Application of digital images to determine color in honey samples from Argentina; Elsevier Science; Microchemical Journal; 118; 1-2015; 110-114
0026-265X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2014.08.002
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0026265X14001623
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
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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
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score 13.001348

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