A digital image-based traceability tool of the geographical origins of Argentine propolis

Autores
Pierini, Gastón Dario; Sousa Fernandes, David Douglas; Goncalves Dias Diniz, Paulo Henrique; Ugulino de Araújo, Mário César; Di Nezio, Maria Susana; Centurión, María Eugenia
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Propolis is a hive product prepared by honeybees (Apis mellifera L.) widely used in pharmaceutical and food preparationsthat plays beneficial roles beyond basic nutrition and therapeutic properties. These benefits are relatedwith its quality, which depends on various factors, such as geographical origin, botanical sources, collecting seasons,races of honeybees, climatic conditions and also the method of harvest. In this sense, it would be helpful theimplementation of a simple, fast and reliable analytical methodology for quality monitoring of propolis samplesas a traceability tool of its geographical origin. Thus, this work proposes the use of digital images andchemometrics for the classification of raw propolis from six different geographical origins of the Buenos AiresProvince, Argentina. For this purpose, different combinations between a color model (Grayscale, RGB and HSI)and a multivariate classifier (PCA?LDA, SIMCA, kNN, PLS-DA and SPA?LDA) were tested. The best analytical performancewas achieved by SPA?LDA using Intensity histograms, classifying correctly a 100% of the samples inboth training and test sets, taking in account the 27 variables selected by SPA. As a consequence, the proposedmethodology serves to support local apiculturists, guaranteeing the offer of products with a clear indication ofgeographical origin, and enhancing regional capabilities.
Fil: Pierini, Gastón Dario. Universidad Nacional del Sur; Argentina. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina
Fil: Sousa Fernandes, David Douglas. Universidad Federal de Paraiba; Brasil
Fil: Goncalves Dias Diniz, Paulo Henrique. Universidad Federal de Paraiba; Brasil
Fil: Ugulino de Araújo, Mário César. Universidad Federal de Paraiba; Brasil
Fil: Di Nezio, Maria Susana. Universidad Nacional del Sur; Argentina
Fil: Centurión, María Eugenia. Universidad Nacional del Sur; Argentina
Materia
PROPOLIS
CLASSIFICATION
DIGITAL IMAGES
GEOGRAPHICAL ORIGIN
SUCCESSIVE PROJECTIONS ALGORITHM
LINEAR DISCRIMINANT ANALYSIS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/156200
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/156200
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A digital image-based traceability tool of the geographical origins of Argentine propolisPierini, Gastón DarioSousa Fernandes, David DouglasGoncalves Dias Diniz, Paulo HenriqueUgulino de Araújo, Mário CésarDi Nezio, Maria SusanaCenturión, María EugeniaPROPOLISCLASSIFICATIONDIGITAL IMAGESGEOGRAPHICAL ORIGINSUCCESSIVE PROJECTIONS ALGORITHMLINEAR DISCRIMINANT ANALYSIShttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Propolis is a hive product prepared by honeybees (Apis mellifera L.) widely used in pharmaceutical and food preparationsthat plays beneficial roles beyond basic nutrition and therapeutic properties. These benefits are relatedwith its quality, which depends on various factors, such as geographical origin, botanical sources, collecting seasons,races of honeybees, climatic conditions and also the method of harvest. In this sense, it would be helpful theimplementation of a simple, fast and reliable analytical methodology for quality monitoring of propolis samplesas a traceability tool of its geographical origin. Thus, this work proposes the use of digital images andchemometrics for the classification of raw propolis from six different geographical origins of the Buenos AiresProvince, Argentina. For this purpose, different combinations between a color model (Grayscale, RGB and HSI)and a multivariate classifier (PCA?LDA, SIMCA, kNN, PLS-DA and SPA?LDA) were tested. The best analytical performancewas achieved by SPA?LDA using Intensity histograms, classifying correctly a 100% of the samples inboth training and test sets, taking in account the 27 variables selected by SPA. As a consequence, the proposedmethodology serves to support local apiculturists, guaranteeing the offer of products with a clear indication ofgeographical origin, and enhancing regional capabilities.Fil: Pierini, Gastón Dario. Universidad Nacional del Sur; Argentina. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; ArgentinaFil: Sousa Fernandes, David Douglas. Universidad Federal de Paraiba; BrasilFil: Goncalves Dias Diniz, Paulo Henrique. Universidad Federal de Paraiba; BrasilFil: Ugulino de Araújo, Mário César. Universidad Federal de Paraiba; BrasilFil: Di Nezio, Maria Susana. Universidad Nacional del Sur; ArgentinaFil: Centurión, María Eugenia. Universidad Nacional del Sur; ArgentinaElsevier Science2016-04info: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/11336/156200Pierini, Gastón Dario; Sousa Fernandes, David Douglas; Goncalves Dias Diniz, Paulo Henrique; Ugulino de Araújo, Mário César; Di Nezio, Maria Susana; et al.; A digital image-based traceability tool of the geographical origins of Argentine propolis; Elsevier Science; Microchemical Journal; 128; 4-2016; 62-670026-265XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2016.04.015info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0026265X16300418info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:50:30Zoai:ri.conicet.gov.ar:11336/156200instacron: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:34982025-09-03 09:50:30.816CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A digital image-based traceability tool of the geographical origins of Argentine propolis
title A digital image-based traceability tool of the geographical origins of Argentine propolis
spellingShingle A digital image-based traceability tool of the geographical origins of Argentine propolis
Pierini, Gastón Dario
PROPOLIS
CLASSIFICATION
DIGITAL IMAGES
GEOGRAPHICAL ORIGIN
SUCCESSIVE PROJECTIONS ALGORITHM
LINEAR DISCRIMINANT ANALYSIS
title_short A digital image-based traceability tool of the geographical origins of Argentine propolis
title_full A digital image-based traceability tool of the geographical origins of Argentine propolis
title_fullStr A digital image-based traceability tool of the geographical origins of Argentine propolis
title_full_unstemmed A digital image-based traceability tool of the geographical origins of Argentine propolis
title_sort A digital image-based traceability tool of the geographical origins of Argentine propolis
dc.creator.none.fl_str_mv Pierini, Gastón Dario
Sousa Fernandes, David Douglas
Goncalves Dias Diniz, Paulo Henrique
Ugulino de Araújo, Mário César
Di Nezio, Maria Susana
Centurión, María Eugenia
author Pierini, Gastón Dario
author_facet Pierini, Gastón Dario
Sousa Fernandes, David Douglas
Goncalves Dias Diniz, Paulo Henrique
Ugulino de Araújo, Mário César
Di Nezio, Maria Susana
Centurión, María Eugenia
author_role author
author2 Sousa Fernandes, David Douglas
Goncalves Dias Diniz, Paulo Henrique
Ugulino de Araújo, Mário César
Di Nezio, Maria Susana
Centurión, María Eugenia
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv PROPOLIS
CLASSIFICATION
DIGITAL IMAGES
GEOGRAPHICAL ORIGIN
SUCCESSIVE PROJECTIONS ALGORITHM
LINEAR DISCRIMINANT ANALYSIS
topic PROPOLIS
CLASSIFICATION
DIGITAL IMAGES
GEOGRAPHICAL ORIGIN
SUCCESSIVE PROJECTIONS ALGORITHM
LINEAR DISCRIMINANT ANALYSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Propolis is a hive product prepared by honeybees (Apis mellifera L.) widely used in pharmaceutical and food preparationsthat plays beneficial roles beyond basic nutrition and therapeutic properties. These benefits are relatedwith its quality, which depends on various factors, such as geographical origin, botanical sources, collecting seasons,races of honeybees, climatic conditions and also the method of harvest. In this sense, it would be helpful theimplementation of a simple, fast and reliable analytical methodology for quality monitoring of propolis samplesas a traceability tool of its geographical origin. Thus, this work proposes the use of digital images andchemometrics for the classification of raw propolis from six different geographical origins of the Buenos AiresProvince, Argentina. For this purpose, different combinations between a color model (Grayscale, RGB and HSI)and a multivariate classifier (PCA?LDA, SIMCA, kNN, PLS-DA and SPA?LDA) were tested. The best analytical performancewas achieved by SPA?LDA using Intensity histograms, classifying correctly a 100% of the samples inboth training and test sets, taking in account the 27 variables selected by SPA. As a consequence, the proposedmethodology serves to support local apiculturists, guaranteeing the offer of products with a clear indication ofgeographical origin, and enhancing regional capabilities.
Fil: Pierini, Gastón Dario. Universidad Nacional del Sur; Argentina. Universidad Nacional de Río Cuarto. Instituto para el Desarrollo Agroindustrial y de la Salud. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto para el Desarrollo Agroindustrial y de la Salud; Argentina
Fil: Sousa Fernandes, David Douglas. Universidad Federal de Paraiba; Brasil
Fil: Goncalves Dias Diniz, Paulo Henrique. Universidad Federal de Paraiba; Brasil
Fil: Ugulino de Araújo, Mário César. Universidad Federal de Paraiba; Brasil
Fil: Di Nezio, Maria Susana. Universidad Nacional del Sur; Argentina
Fil: Centurión, María Eugenia. Universidad Nacional del Sur; Argentina
description Propolis is a hive product prepared by honeybees (Apis mellifera L.) widely used in pharmaceutical and food preparationsthat plays beneficial roles beyond basic nutrition and therapeutic properties. These benefits are relatedwith its quality, which depends on various factors, such as geographical origin, botanical sources, collecting seasons,races of honeybees, climatic conditions and also the method of harvest. In this sense, it would be helpful theimplementation of a simple, fast and reliable analytical methodology for quality monitoring of propolis samplesas a traceability tool of its geographical origin. Thus, this work proposes the use of digital images andchemometrics for the classification of raw propolis from six different geographical origins of the Buenos AiresProvince, Argentina. For this purpose, different combinations between a color model (Grayscale, RGB and HSI)and a multivariate classifier (PCA?LDA, SIMCA, kNN, PLS-DA and SPA?LDA) were tested. The best analytical performancewas achieved by SPA?LDA using Intensity histograms, classifying correctly a 100% of the samples inboth training and test sets, taking in account the 27 variables selected by SPA. As a consequence, the proposedmethodology serves to support local apiculturists, guaranteeing the offer of products with a clear indication ofgeographical origin, and enhancing regional capabilities.
publishDate 2016
dc.date.none.fl_str_mv 2016-04
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/11336/156200
Pierini, Gastón Dario; Sousa Fernandes, David Douglas; Goncalves Dias Diniz, Paulo Henrique; Ugulino de Araújo, Mário César; Di Nezio, Maria Susana; et al.; A digital image-based traceability tool of the geographical origins of Argentine propolis; Elsevier Science; Microchemical Journal; 128; 4-2016; 62-67
0026-265X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/156200
identifier_str_mv Pierini, Gastón Dario; Sousa Fernandes, David Douglas; Goncalves Dias Diniz, Paulo Henrique; Ugulino de Araújo, Mário César; Di Nezio, Maria Susana; et al.; A digital image-based traceability tool of the geographical origins of Argentine propolis; Elsevier Science; Microchemical Journal; 128; 4-2016; 62-67
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.2016.04.015
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0026265X16300418
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
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
_version_ 1842269034885677056
score 13.13397

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