Geographical discrimination of honeys through antioxidant capacity, mineral content and colour

Autores
Patrignani, Mariela; Bernardelli, Cecilia Elena; Conforti, Paula Andrea; Malacalza, Néstor Hugo; Yamul, Diego Karim; Donati, Edgardo Rubén; Lupano, Cecilia Elena
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The assessment of geographical origin of honey is economically important for producers and consumers as every region may present particular quality characteristics. In this study, honeys from the seven different regions of Buenos Aires province (Argentina) were characterised by their antioxidant capacity (DPPH, FRAP), total phenolic content (TPC), mineral composition, colour and ash. Honeys showed significant differences among their antioxidant capacity (DPPH), ash, colour and mineral content (P ≤ 0.05). Besides, a good antioxidant activity and low amounts of Cu and Zn (<1.0–1.5 and 0.7–1.8 mg kg 1, respectively) were found in the samples. Significant Pearson’s correlations (P ≤ 0.05) among the different parameters were found. Moreover, the linear discriminant analysis allowed the classification of honeys in their original groups with a prediction success of 98%. The present results suggest that honeys could be correctly classified by their geographical origin through their TPC, colour, ash and mineral concentrations.
Centro de Investigación y Desarrollo en Criotecnología de Alimentos
Centro de Investigación y Desarrollo en Fermentaciones Industriales
Materia
Química
Antioxidants
Cassification
Honey
Minerals
Linear discriminant analysis,
Principal component analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/127522
Acceder
id SEDICI_8fc5375001ae474554ccc484e4ae3c57
oai_identifier_str oai:sedici.unlp.edu.ar:10915/127522
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Geographical discrimination of honeys through antioxidant capacity, mineral content and colourPatrignani, MarielaBernardelli, Cecilia ElenaConforti, Paula AndreaMalacalza, Néstor HugoYamul, Diego KarimDonati, Edgardo RubénLupano, Cecilia ElenaQuímicaAntioxidantsCassificationHoneyMineralsLinear discriminant analysis,Principal component analysisThe assessment of geographical origin of honey is economically important for producers and consumers as every region may present particular quality characteristics. In this study, honeys from the seven different regions of Buenos Aires province (Argentina) were characterised by their antioxidant capacity (DPPH, FRAP), total phenolic content (TPC), mineral composition, colour and ash. Honeys showed significant differences among their antioxidant capacity (DPPH), ash, colour and mineral content (P ≤ 0.05). Besides, a good antioxidant activity and low amounts of Cu and Zn (<1.0–1.5 and 0.7–1.8 mg kg 1, respectively) were found in the samples. Significant Pearson’s correlations (P ≤ 0.05) among the different parameters were found. Moreover, the linear discriminant analysis allowed the classification of honeys in their original groups with a prediction success of 98%. The present results suggest that honeys could be correctly classified by their geographical origin through their TPC, colour, ash and mineral concentrations.Centro de Investigación y Desarrollo en Criotecnología de AlimentosCentro de Investigación y Desarrollo en Fermentaciones Industriales2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf2598-2605http://sedici.unlp.edu.ar/handle/10915/127522enginfo:eu-repo/semantics/altIdentifier/issn/0950-5423info:eu-repo/semantics/altIdentifier/doi/10.1111/ijfs.12928info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:11:46Zoai:sedici.unlp.edu.ar:10915/127522Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:11:46.447SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Geographical discrimination of honeys through antioxidant capacity, mineral content and colour
title Geographical discrimination of honeys through antioxidant capacity, mineral content and colour
spellingShingle Geographical discrimination of honeys through antioxidant capacity, mineral content and colour
Patrignani, Mariela
Química
Antioxidants
Cassification
Honey
Minerals
Linear discriminant analysis,
Principal component analysis
title_short Geographical discrimination of honeys through antioxidant capacity, mineral content and colour
title_full Geographical discrimination of honeys through antioxidant capacity, mineral content and colour
title_fullStr Geographical discrimination of honeys through antioxidant capacity, mineral content and colour
title_full_unstemmed Geographical discrimination of honeys through antioxidant capacity, mineral content and colour
title_sort Geographical discrimination of honeys through antioxidant capacity, mineral content and colour
dc.creator.none.fl_str_mv Patrignani, Mariela
Bernardelli, Cecilia Elena
Conforti, Paula Andrea
Malacalza, Néstor Hugo
Yamul, Diego Karim
Donati, Edgardo Rubén
Lupano, Cecilia Elena
author Patrignani, Mariela
author_facet Patrignani, Mariela
Bernardelli, Cecilia Elena
Conforti, Paula Andrea
Malacalza, Néstor Hugo
Yamul, Diego Karim
Donati, Edgardo Rubén
Lupano, Cecilia Elena
author_role author
author2 Bernardelli, Cecilia Elena
Conforti, Paula Andrea
Malacalza, Néstor Hugo
Yamul, Diego Karim
Donati, Edgardo Rubén
Lupano, Cecilia Elena
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Química
Antioxidants
Cassification
Honey
Minerals
Linear discriminant analysis,
Principal component analysis
topic Química
Antioxidants
Cassification
Honey
Minerals
Linear discriminant analysis,
Principal component analysis
dc.description.none.fl_txt_mv The assessment of geographical origin of honey is economically important for producers and consumers as every region may present particular quality characteristics. In this study, honeys from the seven different regions of Buenos Aires province (Argentina) were characterised by their antioxidant capacity (DPPH, FRAP), total phenolic content (TPC), mineral composition, colour and ash. Honeys showed significant differences among their antioxidant capacity (DPPH), ash, colour and mineral content (P ≤ 0.05). Besides, a good antioxidant activity and low amounts of Cu and Zn (<1.0–1.5 and 0.7–1.8 mg kg 1, respectively) were found in the samples. Significant Pearson’s correlations (P ≤ 0.05) among the different parameters were found. Moreover, the linear discriminant analysis allowed the classification of honeys in their original groups with a prediction success of 98%. The present results suggest that honeys could be correctly classified by their geographical origin through their TPC, colour, ash and mineral concentrations.
Centro de Investigación y Desarrollo en Criotecnología de Alimentos
Centro de Investigación y Desarrollo en Fermentaciones Industriales
description The assessment of geographical origin of honey is economically important for producers and consumers as every region may present particular quality characteristics. In this study, honeys from the seven different regions of Buenos Aires province (Argentina) were characterised by their antioxidant capacity (DPPH, FRAP), total phenolic content (TPC), mineral composition, colour and ash. Honeys showed significant differences among their antioxidant capacity (DPPH), ash, colour and mineral content (P ≤ 0.05). Besides, a good antioxidant activity and low amounts of Cu and Zn (<1.0–1.5 and 0.7–1.8 mg kg 1, respectively) were found in the samples. Significant Pearson’s correlations (P ≤ 0.05) among the different parameters were found. Moreover, the linear discriminant analysis allowed the classification of honeys in their original groups with a prediction success of 98%. The present results suggest that honeys could be correctly classified by their geographical origin through their TPC, colour, ash and mineral concentrations.
publishDate 2015
dc.date.none.fl_str_mv 2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/127522
url http://sedici.unlp.edu.ar/handle/10915/127522
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/0950-5423
info:eu-repo/semantics/altIdentifier/doi/10.1111/ijfs.12928
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
2598-2605
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1846783469718339584
score 12.982451

Publicaciones similares