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

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...

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Autores principales: Pellerano, Roberto Gerardo, Uñates, María Angelina, Cantarelli, Miguel Ángel, Camiña, José Manuel, Marchevsky, Eduardo Jorge
Formato: Artículo
Lenguaje:Inglés
Publicado: Elsevier 2025
Materias:
Pattern recognition
Discriminant analysis
Fingerprints
Honey
Acceso en línea:http://repositorio.unne.edu.ar/handle/123456789/59133
Aporte de:
RIUNNE - Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) de Universidad Nacional del Nordeste
id I48-R184-123456789-59133
record_format dspace
spelling I48-R184-123456789-591332025-12-09T18:17:51Z Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance Pellerano, Roberto Gerardo Uñates, María Angelina Cantarelli, Miguel Ángel Camiña, José Manuel Marchevsky, Eduardo Jorge Pattern recognition Discriminant analysis Fingerprints Honey 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. 2025-12-05T11:11:37Z 2025-12-05T11:11:37Z 2012-09-15 Artículo Pellerano, Roberto Gerardo, et al., 2012. Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance. Food Chemistry. Ámsterdam: Países Bajos, vol. 134, p. 578-582. E-ISSN 2772-753X. DOI https://doi.org/10.1016/j.foodchem.2012.02.125 http://repositorio.unne.edu.ar/handle/123456789/59133 en https://doi.org/10.1016/j.foodchem.2012.02.125 restrictedAccess http://creativecommons.org/licenses/by-nc-nd/2.5/ar/ application/pdf p. 578-582 application/pdf Elsevier Food Chemistry, 2012, vol. 134, p. 578-582.
institution Universidad Nacional del Nordeste
institution_str I-48
repository_str R-184
collection RIUNNE - Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE)
language Inglés
topic Pattern recognition
Discriminant analysis
Fingerprints
Honey
spellingShingle Pattern recognition
Discriminant analysis
Fingerprints
Honey
Pellerano, Roberto Gerardo
Uñates, María Angelina
Cantarelli, Miguel Ángel
Camiña, José Manuel
Marchevsky, Eduardo Jorge
Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance
topic_facet Pattern recognition
Discriminant analysis
Fingerprints
Honey
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.
format Artículo
author Pellerano, Roberto Gerardo
Uñates, María Angelina
Cantarelli, Miguel Ángel
Camiña, José Manuel
Marchevsky, Eduardo Jorge
author_facet Pellerano, Roberto Gerardo
Uñates, María Angelina
Cantarelli, Miguel Ángel
Camiña, José Manuel
Marchevsky, Eduardo Jorge
author_sort Pellerano, Roberto Gerardo
title Analysis of trace elements in multifloral Argentine honeys and their classification according to provenance
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
publisher Elsevier
publishDate 2025
url http://repositorio.unne.edu.ar/handle/123456789/59133
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AT cantarellimiguelangel analysisoftraceelementsinmultifloralargentinehoneysandtheirclassificationaccordingtoprovenance
AT caminajosemanuel analysisoftraceelementsinmultifloralargentinehoneysandtheirclassificationaccordingtoprovenance
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