Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance

Autores
Pellerano, Roberto Gerardo; Uñates, Maria Angelina; Cantarelli, Miguel Angel; Camiña, José Manuel; Marchevsky, Eduardo Jorge
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The concentrations of 14 trace elements Br, Ce, Co, Cr, Cs, Eu, Fe, La, Rb, Sb, Sc, Sm, Th and Zn) have been determined in 120 samples of light-coloured honeys from the provinces San Luis and La Pampa, middle Argentina, using instrumental neutronic activation analysis. The elemental composition was used in multivariate statistical analysis to discriminate the honeys according to geographical origin. Results indicated that element analysis provides a good prospect for discriminating honeys by regions, even if the element composition is not dependent on the year of harvest. Eight key variables (Ce, Cr, Cs, Fe, La, Sb, Sc and Zn) were identified by LDA as providing the maximum discrimination between samples according to their provenance. It was concluded that the methodology in its current state can be used to provide reliable origin information.
Fil: Pellerano, Roberto Gerardo. 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: Uñates, Maria Angelina. 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: Cantarelli, Miguel Angel. 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: 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
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
Materia
Discriminant Analysis
Fingerprints
Honey
Pattern Recognition
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:11336/81515
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/81515
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network_name_str CONICET Digital (CONICET)
spelling Analysis of trace elements in multifloral Argentine honeys and their classification according to provenancePellerano, Roberto GerardoUñates, Maria AngelinaCantarelli, Miguel AngelCamiña, José ManuelMarchevsky, Eduardo JorgeDiscriminant AnalysisFingerprintsHoneyPattern Recognitionhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1The concentrations of 14 trace elements Br, Ce, Co, Cr, Cs, Eu, Fe, La, Rb, Sb, Sc, Sm, Th and Zn) have been determined in 120 samples of light-coloured honeys from the provinces San Luis and La Pampa, middle Argentina, using instrumental neutronic activation analysis. The elemental composition was used in multivariate statistical analysis to discriminate the honeys according to geographical origin. Results indicated that element analysis provides a good prospect for discriminating honeys by regions, even if the element composition is not dependent on the year of harvest. Eight key variables (Ce, Cr, Cs, Fe, La, Sb, Sc and Zn) were identified by LDA as providing the maximum discrimination between samples according to their provenance. It was concluded that the methodology in its current state can be used to provide reliable origin information.Fil: Pellerano, Roberto Gerardo. 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: Uñates, Maria Angelina. 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: Cantarelli, Miguel Angel. 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: 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; 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; ArgentinaElsevier2012-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/81515Pellerano, Roberto Gerardo; Uñates, Maria Angelina; Cantarelli, Miguel Angel; Camiña, José Manuel; Marchevsky, Eduardo Jorge; Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance; Elsevier; Food Chemistry; 134; 1; 9-2012; 578-5820308-8146CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0308814612003135info:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2012.02.125info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:18:36Zoai:ri.conicet.gov.ar:11336/81515instacron: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:34982025-10-22 11:18:36.909CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance
title Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance
spellingShingle Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance
Pellerano, Roberto Gerardo
Discriminant Analysis
Fingerprints
Honey
Pattern Recognition
title_short Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance
title_full Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance
title_fullStr Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance
title_full_unstemmed Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance
title_sort Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance
dc.creator.none.fl_str_mv Pellerano, Roberto Gerardo
Uñates, Maria Angelina
Cantarelli, Miguel Angel
Camiña, José Manuel
Marchevsky, Eduardo Jorge
author Pellerano, Roberto Gerardo
author_facet Pellerano, Roberto Gerardo
Uñates, Maria Angelina
Cantarelli, Miguel Angel
Camiña, José Manuel
Marchevsky, Eduardo Jorge
author_role author
author2 Uñates, Maria Angelina
Cantarelli, Miguel Angel
Camiña, José Manuel
Marchevsky, Eduardo Jorge
author2_role author
author
author
author
dc.subject.none.fl_str_mv Discriminant Analysis
Fingerprints
Honey
Pattern Recognition
topic Discriminant Analysis
Fingerprints
Honey
Pattern Recognition
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The concentrations of 14 trace elements Br, Ce, Co, Cr, Cs, Eu, Fe, La, Rb, Sb, Sc, Sm, Th and Zn) have been determined in 120 samples of light-coloured honeys from the provinces San Luis and La Pampa, middle Argentina, using instrumental neutronic activation analysis. The elemental composition was used in multivariate statistical analysis to discriminate the honeys according to geographical origin. Results indicated that element analysis provides a good prospect for discriminating honeys by regions, even if the element composition is not dependent on the year of harvest. Eight key variables (Ce, Cr, Cs, Fe, La, Sb, Sc and Zn) were identified by LDA as providing the maximum discrimination between samples according to their provenance. It was concluded that the methodology in its current state can be used to provide reliable origin information.
Fil: Pellerano, Roberto Gerardo. 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: Uñates, Maria Angelina. 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: Cantarelli, Miguel Angel. 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: 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
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
description The concentrations of 14 trace elements Br, Ce, Co, Cr, Cs, Eu, Fe, La, Rb, Sb, Sc, Sm, Th and Zn) have been determined in 120 samples of light-coloured honeys from the provinces San Luis and La Pampa, middle Argentina, using instrumental neutronic activation analysis. The elemental composition was used in multivariate statistical analysis to discriminate the honeys according to geographical origin. Results indicated that element analysis provides a good prospect for discriminating honeys by regions, even if the element composition is not dependent on the year of harvest. Eight key variables (Ce, Cr, Cs, Fe, La, Sb, Sc and Zn) were identified by LDA as providing the maximum discrimination between samples according to their provenance. It was concluded that the methodology in its current state can be used to provide reliable origin information.
publishDate 2012
dc.date.none.fl_str_mv 2012-09
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/11336/81515
Pellerano, Roberto Gerardo; Uñates, Maria Angelina; Cantarelli, Miguel Angel; Camiña, José Manuel; Marchevsky, Eduardo Jorge; Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance; Elsevier; Food Chemistry; 134; 1; 9-2012; 578-582
0308-8146
CONICET Digital
CONICET
url http://hdl.handle.net/11336/81515
identifier_str_mv Pellerano, Roberto Gerardo; Uñates, Maria Angelina; Cantarelli, Miguel Angel; Camiña, José Manuel; Marchevsky, Eduardo Jorge; Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance; Elsevier; Food Chemistry; 134; 1; 9-2012; 578-582
0308-8146
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://www.sciencedirect.com/science/article/pii/S0308814612003135
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2012.02.125
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
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_ 1846781651313491968
score 12.982451

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