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Contribution to the Chromatic Characterization of Unifloral Honeys from Galicia (NW Spain)
Honey color and other physicochemical characteristics depend mainly on the botanical and geographical origin. The study of these properties could make easier a correct classification of unifloral honey. This work determined the palynological characteristics and some physicochemical properties such a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678377/ https://www.ncbi.nlm.nih.gov/pubmed/31261909 http://dx.doi.org/10.3390/foods8070233 |
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author | Escuredo, Olga Rodríguez-Flores, María Shantal Rojo-Martínez, Sergio Seijo, María Carmen |
author_facet | Escuredo, Olga Rodríguez-Flores, María Shantal Rojo-Martínez, Sergio Seijo, María Carmen |
author_sort | Escuredo, Olga |
collection | PubMed |
description | Honey color and other physicochemical characteristics depend mainly on the botanical and geographical origin. The study of these properties could make easier a correct classification of unifloral honey. This work determined the palynological characteristics and some physicochemical properties such as pH, electrical conductivity, and color (Pfund scale and the CIELa*b* coordinates), as well as the total content of the bioactive compounds phenols and flavonoids of ninety-three honey samples. Samples were classified as chestnut, blackberry, heather, eucalyptus, and honeydew honey. The study showed a close relationship between the physicochemical variables and the botanical origin. The five types of honey presented different physicochemical properties among them. A principal component analysis showed that Hue, lightness, b*, and Chroma variables were important for the honey types classification, followed by Erica pollen, pH, Cytisus, and Castanea variables. A forward stepwise regression analysis was performed introducing as dependent variables the color (mm Pfund) and the Chroma and the Hue variables. The regression models obtained explained 86%, 74%, and 86% of the variance of the data, respectively. The combination of the chromatic and physicochemical and pollen variables through the use of multivariable methods was optimal to characterize and group the honey samples studied. |
format | Online Article Text |
id | pubmed-6678377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66783772019-08-19 Contribution to the Chromatic Characterization of Unifloral Honeys from Galicia (NW Spain) Escuredo, Olga Rodríguez-Flores, María Shantal Rojo-Martínez, Sergio Seijo, María Carmen Foods Article Honey color and other physicochemical characteristics depend mainly on the botanical and geographical origin. The study of these properties could make easier a correct classification of unifloral honey. This work determined the palynological characteristics and some physicochemical properties such as pH, electrical conductivity, and color (Pfund scale and the CIELa*b* coordinates), as well as the total content of the bioactive compounds phenols and flavonoids of ninety-three honey samples. Samples were classified as chestnut, blackberry, heather, eucalyptus, and honeydew honey. The study showed a close relationship between the physicochemical variables and the botanical origin. The five types of honey presented different physicochemical properties among them. A principal component analysis showed that Hue, lightness, b*, and Chroma variables were important for the honey types classification, followed by Erica pollen, pH, Cytisus, and Castanea variables. A forward stepwise regression analysis was performed introducing as dependent variables the color (mm Pfund) and the Chroma and the Hue variables. The regression models obtained explained 86%, 74%, and 86% of the variance of the data, respectively. The combination of the chromatic and physicochemical and pollen variables through the use of multivariable methods was optimal to characterize and group the honey samples studied. MDPI 2019-06-29 /pmc/articles/PMC6678377/ /pubmed/31261909 http://dx.doi.org/10.3390/foods8070233 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Escuredo, Olga Rodríguez-Flores, María Shantal Rojo-Martínez, Sergio Seijo, María Carmen Contribution to the Chromatic Characterization of Unifloral Honeys from Galicia (NW Spain) |
title | Contribution to the Chromatic Characterization of Unifloral Honeys from Galicia (NW Spain) |
title_full | Contribution to the Chromatic Characterization of Unifloral Honeys from Galicia (NW Spain) |
title_fullStr | Contribution to the Chromatic Characterization of Unifloral Honeys from Galicia (NW Spain) |
title_full_unstemmed | Contribution to the Chromatic Characterization of Unifloral Honeys from Galicia (NW Spain) |
title_short | Contribution to the Chromatic Characterization of Unifloral Honeys from Galicia (NW Spain) |
title_sort | contribution to the chromatic characterization of unifloral honeys from galicia (nw spain) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678377/ https://www.ncbi.nlm.nih.gov/pubmed/31261909 http://dx.doi.org/10.3390/foods8070233 |
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