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

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 cap...

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Autores principales: Patrignani, Mariela, Bernardelli, Cecilia Elena, Conforti, Paula Andrea, Malacalza, Néstor Hugo, Yamul, Diego Karim, Donati, Edgardo Rubén, Lupano, Cecilia Elena
Formato: Articulo
Lenguaje:Inglés
Publicado: 2015
Materias:
Química
Antioxidants
Cassification
Honey
Minerals
Linear discriminant analysis,
Principal component analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/127522
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-127522
record_format dspace
spelling I19-R120-10915-1275222023-10-10T15:18:06Z http://sedici.unlp.edu.ar/handle/10915/127522 Geographical discrimination of honeys through antioxidant capacity, mineral content and colour Patrignani, Mariela Bernardelli, Cecilia Elena Conforti, Paula Andrea Malacalza, Néstor Hugo Yamul, Diego Karim Donati, Edgardo Rubén Lupano, Cecilia Elena 2015 2021-10-29T16:18:28Z en Química Antioxidants Cassification Honey Minerals Linear discriminant analysis, Principal component analysis 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 Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 2598-2605
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Química
Antioxidants
Cassification
Honey
Minerals
Linear discriminant analysis,
Principal component analysis
spellingShingle Química
Antioxidants
Cassification
Honey
Minerals
Linear discriminant analysis,
Principal component analysis
Patrignani, Mariela
Bernardelli, Cecilia Elena
Conforti, Paula Andrea
Malacalza, Néstor Hugo
Yamul, Diego Karim
Donati, Edgardo Rubén
Lupano, Cecilia Elena
Geographical discrimination of honeys through antioxidant capacity, mineral content and colour
topic_facet Química
Antioxidants
Cassification
Honey
Minerals
Linear discriminant analysis,
Principal component analysis
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.
format Articulo
Articulo
author Patrignani, Mariela
Bernardelli, Cecilia Elena
Conforti, Paula Andrea
Malacalza, Néstor Hugo
Yamul, Diego Karim
Donati, Edgardo Rubén
Lupano, Cecilia Elena
author_facet Patrignani, Mariela
Bernardelli, Cecilia Elena
Conforti, Paula Andrea
Malacalza, Néstor Hugo
Yamul, Diego Karim
Donati, Edgardo Rubén
Lupano, Cecilia Elena
author_sort Patrignani, Mariela
title Geographical discrimination of honeys through antioxidant capacity, mineral content and colour
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
publishDate 2015
url http://sedici.unlp.edu.ar/handle/10915/127522
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