Chemometric classification of amaratanth by use fatty acid composition

Autores
Aguilar, E. G.; Cantarelli, Miguel Angel; Marchevsky, Eduardo Jorge; Escudero, N. L.; Camiña, José Manuel
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this work, the composition of fatty acids was analyzed in order to obtain a chemometric model for the classification of amaranth varieties seeds: A. cruentus var. candil (Acc), A. hypochondriacus var. dorado (Ahd), A. hypochondriacus line H17a (AH17a) and A. cruentus line G6/17a (AcG6/17a). Chemometric model was performed by linear discriminant analysis (LDA). The results shows that the discriminant model was able to classify correctly all the studied varieties, with 100% of correct classification in all cases, for training and prediction test set. On the other hand, the discriminant functions plot (function 1 vs function 2) showed similarities between A. cruentus var. candil and A. cruentus line G6/17a, while A. hypochondriacus var. dorado and A. hypochondriacus line H17a showed the most important differences with the others ones. As conclusion, LDA in conjunction to fatty acid composition, were able to distinguish between varieties of amaranth, which can be useful as a non expensive method to classify amaranth seeds.
Fil: Aguilar, E. G.. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia; Argentina
Fil: Cantarelli, Miguel Angel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Marchevsky, Eduardo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina
Fil: Escudero, N. L.. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia; Argentina
Fil: Camiña, José Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
XXX Reunión Anual de la Sociedad de Biología de Cuyo
San Luis
Argentina
Sociedad de Biología de Cuyo
Materia
CLASSIFICATION
CHEMOMETRIC
AMARANTH
SEEDS
FATTY
ACIDS
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:11336/244099
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/244099
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Chemometric classification of amaratanth by use fatty acid compositionAguilar, E. G.Cantarelli, Miguel AngelMarchevsky, Eduardo JorgeEscudero, N. L.Camiña, José ManuelCLASSIFICATIONCHEMOMETRICAMARANTHSEEDSFATTYACIDShttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1In this work, the composition of fatty acids was analyzed in order to obtain a chemometric model for the classification of amaranth varieties seeds: A. cruentus var. candil (Acc), A. hypochondriacus var. dorado (Ahd), A. hypochondriacus line H17a (AH17a) and A. cruentus line G6/17a (AcG6/17a). Chemometric model was performed by linear discriminant analysis (LDA). The results shows that the discriminant model was able to classify correctly all the studied varieties, with 100% of correct classification in all cases, for training and prediction test set. On the other hand, the discriminant functions plot (function 1 vs function 2) showed similarities between A. cruentus var. candil and A. cruentus line G6/17a, while A. hypochondriacus var. dorado and A. hypochondriacus line H17a showed the most important differences with the others ones. As conclusion, LDA in conjunction to fatty acid composition, were able to distinguish between varieties of amaranth, which can be useful as a non expensive method to classify amaranth seeds.Fil: Aguilar, E. G.. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia; ArgentinaFil: Cantarelli, Miguel Angel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Marchevsky, Eduardo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; ArgentinaFil: Escudero, N. L.. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia; ArgentinaFil: Camiña, José Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; ArgentinaXXX Reunión Anual de la Sociedad de Biología de CuyoSan LuisArgentinaSociedad de Biología de CuyoBiocell2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/244099Chemometric classification of amaratanth by use fatty acid composition; XXX Reunión Anual de la Sociedad de Biología de Cuyo; San Luis; Argentina; 2012; 42-420327-9545CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://sbcuyo.org.ar/wp-content/uploads/2017/05/SBdeCuyo-2012.pdfInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:50:29Zoai:ri.conicet.gov.ar:11336/244099instacron: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 09:50:29.54CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Chemometric classification of amaratanth by use fatty acid composition
title Chemometric classification of amaratanth by use fatty acid composition
spellingShingle Chemometric classification of amaratanth by use fatty acid composition
Aguilar, E. G.
CLASSIFICATION
CHEMOMETRIC
AMARANTH
SEEDS
FATTY
ACIDS
title_short Chemometric classification of amaratanth by use fatty acid composition
title_full Chemometric classification of amaratanth by use fatty acid composition
title_fullStr Chemometric classification of amaratanth by use fatty acid composition
title_full_unstemmed Chemometric classification of amaratanth by use fatty acid composition
title_sort Chemometric classification of amaratanth by use fatty acid composition
dc.creator.none.fl_str_mv Aguilar, E. G.
Cantarelli, Miguel Angel
Marchevsky, Eduardo Jorge
Escudero, N. L.
Camiña, José Manuel
author Aguilar, E. G.
author_facet Aguilar, E. G.
Cantarelli, Miguel Angel
Marchevsky, Eduardo Jorge
Escudero, N. L.
Camiña, José Manuel
author_role author
author2 Cantarelli, Miguel Angel
Marchevsky, Eduardo Jorge
Escudero, N. L.
Camiña, José Manuel
author2_role author
author
author
author
dc.subject.none.fl_str_mv CLASSIFICATION
CHEMOMETRIC
AMARANTH
SEEDS
FATTY
ACIDS
topic CLASSIFICATION
CHEMOMETRIC
AMARANTH
SEEDS
FATTY
ACIDS
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 work, the composition of fatty acids was analyzed in order to obtain a chemometric model for the classification of amaranth varieties seeds: A. cruentus var. candil (Acc), A. hypochondriacus var. dorado (Ahd), A. hypochondriacus line H17a (AH17a) and A. cruentus line G6/17a (AcG6/17a). Chemometric model was performed by linear discriminant analysis (LDA). The results shows that the discriminant model was able to classify correctly all the studied varieties, with 100% of correct classification in all cases, for training and prediction test set. On the other hand, the discriminant functions plot (function 1 vs function 2) showed similarities between A. cruentus var. candil and A. cruentus line G6/17a, while A. hypochondriacus var. dorado and A. hypochondriacus line H17a showed the most important differences with the others ones. As conclusion, LDA in conjunction to fatty acid composition, were able to distinguish between varieties of amaranth, which can be useful as a non expensive method to classify amaranth seeds.
Fil: Aguilar, E. G.. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia; Argentina
Fil: Cantarelli, Miguel Angel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Marchevsky, Eduardo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina
Fil: Escudero, N. L.. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia; Argentina
Fil: Camiña, José Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
XXX Reunión Anual de la Sociedad de Biología de Cuyo
San Luis
Argentina
Sociedad de Biología de Cuyo
description In this work, the composition of fatty acids was analyzed in order to obtain a chemometric model for the classification of amaranth varieties seeds: A. cruentus var. candil (Acc), A. hypochondriacus var. dorado (Ahd), A. hypochondriacus line H17a (AH17a) and A. cruentus line G6/17a (AcG6/17a). Chemometric model was performed by linear discriminant analysis (LDA). The results shows that the discriminant model was able to classify correctly all the studied varieties, with 100% of correct classification in all cases, for training and prediction test set. On the other hand, the discriminant functions plot (function 1 vs function 2) showed similarities between A. cruentus var. candil and A. cruentus line G6/17a, while A. hypochondriacus var. dorado and A. hypochondriacus line H17a showed the most important differences with the others ones. As conclusion, LDA in conjunction to fatty acid composition, were able to distinguish between varieties of amaranth, which can be useful as a non expensive method to classify amaranth seeds.
publishDate 2012
dc.date.none.fl_str_mv 2012
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Congreso
Journal
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/244099
Chemometric classification of amaratanth by use fatty acid composition; XXX Reunión Anual de la Sociedad de Biología de Cuyo; San Luis; Argentina; 2012; 42-42
0327-9545
CONICET Digital
CONICET
url http://hdl.handle.net/11336/244099
identifier_str_mv Chemometric classification of amaratanth by use fatty acid composition; XXX Reunión Anual de la Sociedad de Biología de Cuyo; San Luis; Argentina; 2012; 42-42
0327-9545
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://sbcuyo.org.ar/wp-content/uploads/2017/05/SBdeCuyo-2012.pdf
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.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Biocell
publisher.none.fl_str_mv Biocell
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 13.13397

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