Using a simple digital camera and SPA-LDA modeling to screen teas

Autores
Diniz, Paulo H. G. D.; Dantas, Hebertty V.; Melo, Karla D. T.; Barbosa, Mayara F.; Harding, David P.; Nascimento, Elaine C. L.; Pistonesi, Marcelo Fabian; Fernández Band, Beatriz Susana; Araújo, Mário C. U.
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Classification or screening analysis of natural unprocessed teas using simple digital images and a variable selection algorithm is described. The proposed methodology uses color histograms generated on free downloadable software ImageJ 1.44p as a source of analytical information. Two chemometric methods were compared for classification of the resulting images, namely Soft Independent Modeling of Class Analogy (SIMCA), and Linear Discriminant Analysis (LDA) with variable selection by the Successive Projections Algorithm (SPA). The results were evaluated in terms of errors found in a sample set separate from the modeling process. The choice of more informative photometric color attributes (red-green-blue (RGB), hue (H), saturation (S), brightness (B), and grayscale) for screening the tea samples was made during the color modeling because SIMCA failed to give good results. Therefore the data treatment used SPA-LDA, which correctly classified all samples according to their geographical regions, whether from Brazilian, Argentinian or foreign soils.
Fil: Diniz, Paulo H. G. D.. Universidade Federal da Paraíba; Brasil
Fil: Dantas, Hebertty V.. Universidade Federal da Paraíba; Brasil
Fil: Melo, Karla D. T.. Universidade Federal da Paraíba; Brasil
Fil: Barbosa, Mayara F.. Universidade Federal da Paraíba; Brasil
Fil: Harding, David P.. Universidade Federal da Paraíba; Brasil
Fil: Nascimento, Elaine C. L.. Universidade Federal da Paraíba; Brasil
Fil: Pistonesi, Marcelo Fabian. 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: Fernández Band, Beatriz Susana. 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: Araújo, Mário C. U.. Universidade Federal da Paraíba; Brasil
Materia
Screening Teas
Digital Camera
Spa-Lda
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:11336/60837

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network_name_str CONICET Digital (CONICET)
spelling Using a simple digital camera and SPA-LDA modeling to screen teasDiniz, Paulo H. G. D.Dantas, Hebertty V.Melo, Karla D. T.Barbosa, Mayara F.Harding, David P.Nascimento, Elaine C. L.Pistonesi, Marcelo FabianFernández Band, Beatriz SusanaAraújo, Mário C. U.Screening TeasDigital CameraSpa-Ldahttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Classification or screening analysis of natural unprocessed teas using simple digital images and a variable selection algorithm is described. The proposed methodology uses color histograms generated on free downloadable software ImageJ 1.44p as a source of analytical information. Two chemometric methods were compared for classification of the resulting images, namely Soft Independent Modeling of Class Analogy (SIMCA), and Linear Discriminant Analysis (LDA) with variable selection by the Successive Projections Algorithm (SPA). The results were evaluated in terms of errors found in a sample set separate from the modeling process. The choice of more informative photometric color attributes (red-green-blue (RGB), hue (H), saturation (S), brightness (B), and grayscale) for screening the tea samples was made during the color modeling because SIMCA failed to give good results. Therefore the data treatment used SPA-LDA, which correctly classified all samples according to their geographical regions, whether from Brazilian, Argentinian or foreign soils.Fil: Diniz, Paulo H. G. D.. Universidade Federal da Paraíba; BrasilFil: Dantas, Hebertty V.. Universidade Federal da Paraíba; BrasilFil: Melo, Karla D. T.. Universidade Federal da Paraíba; BrasilFil: Barbosa, Mayara F.. Universidade Federal da Paraíba; BrasilFil: Harding, David P.. Universidade Federal da Paraíba; BrasilFil: Nascimento, Elaine C. L.. Universidade Federal da Paraíba; BrasilFil: Pistonesi, Marcelo Fabian. 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: Fernández Band, Beatriz Susana. 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: Araújo, Mário C. U.. Universidade Federal da Paraíba; BrasilRoyal Society of Chemistry2012-07info: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/11336/60837Diniz, Paulo H. G. D.; Dantas, Hebertty V.; Melo, Karla D. T.; Barbosa, Mayara F.; Harding, David P.; et al.; Using a simple digital camera and SPA-LDA modeling to screen teas; Royal Society of Chemistry; Analytical Methods; 4; 9; 7-2012; 2648-26521759-96601759-9679CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://pubs.rsc.org/en/content/articlelanding/2012/ay/c2ay25481f#!divAbstractinfo:eu-repo/semantics/altIdentifier/doi/10.1039/c2ay25481finfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:10:18Zoai:ri.conicet.gov.ar:11336/60837instacron: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:34982025-10-15 15:10:18.433CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Using a simple digital camera and SPA-LDA modeling to screen teas
title Using a simple digital camera and SPA-LDA modeling to screen teas
spellingShingle Using a simple digital camera and SPA-LDA modeling to screen teas
Diniz, Paulo H. G. D.
Screening Teas
Digital Camera
Spa-Lda
title_short Using a simple digital camera and SPA-LDA modeling to screen teas
title_full Using a simple digital camera and SPA-LDA modeling to screen teas
title_fullStr Using a simple digital camera and SPA-LDA modeling to screen teas
title_full_unstemmed Using a simple digital camera and SPA-LDA modeling to screen teas
title_sort Using a simple digital camera and SPA-LDA modeling to screen teas
dc.creator.none.fl_str_mv Diniz, Paulo H. G. D.
Dantas, Hebertty V.
Melo, Karla D. T.
Barbosa, Mayara F.
Harding, David P.
Nascimento, Elaine C. L.
Pistonesi, Marcelo Fabian
Fernández Band, Beatriz Susana
Araújo, Mário C. U.
author Diniz, Paulo H. G. D.
author_facet Diniz, Paulo H. G. D.
Dantas, Hebertty V.
Melo, Karla D. T.
Barbosa, Mayara F.
Harding, David P.
Nascimento, Elaine C. L.
Pistonesi, Marcelo Fabian
Fernández Band, Beatriz Susana
Araújo, Mário C. U.
author_role author
author2 Dantas, Hebertty V.
Melo, Karla D. T.
Barbosa, Mayara F.
Harding, David P.
Nascimento, Elaine C. L.
Pistonesi, Marcelo Fabian
Fernández Band, Beatriz Susana
Araújo, Mário C. U.
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Screening Teas
Digital Camera
Spa-Lda
topic Screening Teas
Digital Camera
Spa-Lda
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Classification or screening analysis of natural unprocessed teas using simple digital images and a variable selection algorithm is described. The proposed methodology uses color histograms generated on free downloadable software ImageJ 1.44p as a source of analytical information. Two chemometric methods were compared for classification of the resulting images, namely Soft Independent Modeling of Class Analogy (SIMCA), and Linear Discriminant Analysis (LDA) with variable selection by the Successive Projections Algorithm (SPA). The results were evaluated in terms of errors found in a sample set separate from the modeling process. The choice of more informative photometric color attributes (red-green-blue (RGB), hue (H), saturation (S), brightness (B), and grayscale) for screening the tea samples was made during the color modeling because SIMCA failed to give good results. Therefore the data treatment used SPA-LDA, which correctly classified all samples according to their geographical regions, whether from Brazilian, Argentinian or foreign soils.
Fil: Diniz, Paulo H. G. D.. Universidade Federal da Paraíba; Brasil
Fil: Dantas, Hebertty V.. Universidade Federal da Paraíba; Brasil
Fil: Melo, Karla D. T.. Universidade Federal da Paraíba; Brasil
Fil: Barbosa, Mayara F.. Universidade Federal da Paraíba; Brasil
Fil: Harding, David P.. Universidade Federal da Paraíba; Brasil
Fil: Nascimento, Elaine C. L.. Universidade Federal da Paraíba; Brasil
Fil: Pistonesi, Marcelo Fabian. 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: Fernández Band, Beatriz Susana. 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: Araújo, Mário C. U.. Universidade Federal da Paraíba; Brasil
description Classification or screening analysis of natural unprocessed teas using simple digital images and a variable selection algorithm is described. The proposed methodology uses color histograms generated on free downloadable software ImageJ 1.44p as a source of analytical information. Two chemometric methods were compared for classification of the resulting images, namely Soft Independent Modeling of Class Analogy (SIMCA), and Linear Discriminant Analysis (LDA) with variable selection by the Successive Projections Algorithm (SPA). The results were evaluated in terms of errors found in a sample set separate from the modeling process. The choice of more informative photometric color attributes (red-green-blue (RGB), hue (H), saturation (S), brightness (B), and grayscale) for screening the tea samples was made during the color modeling because SIMCA failed to give good results. Therefore the data treatment used SPA-LDA, which correctly classified all samples according to their geographical regions, whether from Brazilian, Argentinian or foreign soils.
publishDate 2012
dc.date.none.fl_str_mv 2012-07
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/11336/60837
Diniz, Paulo H. G. D.; Dantas, Hebertty V.; Melo, Karla D. T.; Barbosa, Mayara F.; Harding, David P.; et al.; Using a simple digital camera and SPA-LDA modeling to screen teas; Royal Society of Chemistry; Analytical Methods; 4; 9; 7-2012; 2648-2652
1759-9660
1759-9679
CONICET Digital
CONICET
url http://hdl.handle.net/11336/60837
identifier_str_mv Diniz, Paulo H. G. D.; Dantas, Hebertty V.; Melo, Karla D. T.; Barbosa, Mayara F.; Harding, David P.; et al.; Using a simple digital camera and SPA-LDA modeling to screen teas; Royal Society of Chemistry; Analytical Methods; 4; 9; 7-2012; 2648-2652
1759-9660
1759-9679
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://pubs.rsc.org/en/content/articlelanding/2012/ay/c2ay25481f#!divAbstract
info:eu-repo/semantics/altIdentifier/doi/10.1039/c2ay25481f
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 Royal Society of Chemistry
publisher.none.fl_str_mv Royal Society of Chemistry
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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