Honey geographical origin characterization and authentication based on spectrophotometric assays, physicochemical parameters and LC-MS/MS polyphenolic profiling

Honey is a highly consumed natural sweetener produced by honeybees from the nectar of plants, secretions of living parts of plants, or insect excretions. Its high value is due to its nutritional value and multiple benefits to human health. However, due to the diversity in geographical origins, the p...

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Authors: Mostoles, Danica, de Krijger, Fleur, Mara, Andrea, Sanna, Gavino, Saurina, Javier, Sentellas, Sonia, Núñez Burcio, Oscar
Format: article
Status:Published version
Publication Date:2025
Country:España
Institution:Universidad de Barcelona
Repository:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/224291
Online Access:https://hdl.handle.net/2445/224291
Access Level:Open access
Keyword:Antioxidants
Quimiometria
Mel d'abelles
Chemometrics
Honey
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spelling Honey geographical origin characterization and authentication based on spectrophotometric assays, physicochemical parameters and LC-MS/MS polyphenolic profilingMostoles, Danicade Krijger, FleurMara, AndreaSanna, GavinoSaurina, JavierSentellas, SoniaNúñez Burcio, OscarAntioxidantsQuimiometriaMel d'abellesAntioxidantsChemometricsHoneyHoney is a highly consumed natural sweetener produced by honeybees from the nectar of plants, secretions of living parts of plants, or insect excretions. Its high value is due to its nutritional value and multiple benefits to human health. However, due to the diversity in geographical origins, the properties of honey can vary depending on the region of production, leading to discrepancies in honey pricing. Therefore, it is essential to examine these variations by analyzing several parameters in honey from diverse regions. In this work, honeys from 8 countries were characterized by measuring several physicochemical parameters and spectrophotometric assays aiming at geographical origin authentication. In addition, the polyphenolic profile of the samples was obtained by LC-LRMS. An acceptable discrimination of the samples was obtained when considering all variables altogether, with classification errors lower than 31.9%.MDPI2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/224291Articles publicats en revistes (Enginyeria Química i Química Analítica)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/https://doi.org/10.3390/foods14223828Foods, 2025, vol. 14, num.3828https://doi.org/https://doi.org/10.3390/foods14223828cc-by (c) Mostoles, D. et al., 2025http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2242912026-05-27T06:46:51Z
dc.title.none.fl_str_mv Honey geographical origin characterization and authentication based on spectrophotometric assays, physicochemical parameters and LC-MS/MS polyphenolic profiling
title Honey geographical origin characterization and authentication based on spectrophotometric assays, physicochemical parameters and LC-MS/MS polyphenolic profiling
spellingShingle Honey geographical origin characterization and authentication based on spectrophotometric assays, physicochemical parameters and LC-MS/MS polyphenolic profiling
Mostoles, Danica
Antioxidants
Quimiometria
Mel d'abelles
Antioxidants
Chemometrics
Honey
title_short Honey geographical origin characterization and authentication based on spectrophotometric assays, physicochemical parameters and LC-MS/MS polyphenolic profiling
title_full Honey geographical origin characterization and authentication based on spectrophotometric assays, physicochemical parameters and LC-MS/MS polyphenolic profiling
title_fullStr Honey geographical origin characterization and authentication based on spectrophotometric assays, physicochemical parameters and LC-MS/MS polyphenolic profiling
title_full_unstemmed Honey geographical origin characterization and authentication based on spectrophotometric assays, physicochemical parameters and LC-MS/MS polyphenolic profiling
title_sort Honey geographical origin characterization and authentication based on spectrophotometric assays, physicochemical parameters and LC-MS/MS polyphenolic profiling
dc.creator.none.fl_str_mv Mostoles, Danica
de Krijger, Fleur
Mara, Andrea
Sanna, Gavino
Saurina, Javier
Sentellas, Sonia
Núñez Burcio, Oscar
author Mostoles, Danica
author_facet Mostoles, Danica
de Krijger, Fleur
Mara, Andrea
Sanna, Gavino
Saurina, Javier
Sentellas, Sonia
Núñez Burcio, Oscar
author_role author
author2 de Krijger, Fleur
Mara, Andrea
Sanna, Gavino
Saurina, Javier
Sentellas, Sonia
Núñez Burcio, Oscar
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Antioxidants
Quimiometria
Mel d'abelles
Antioxidants
Chemometrics
Honey
topic Antioxidants
Quimiometria
Mel d'abelles
Antioxidants
Chemometrics
Honey
description Honey is a highly consumed natural sweetener produced by honeybees from the nectar of plants, secretions of living parts of plants, or insect excretions. Its high value is due to its nutritional value and multiple benefits to human health. However, due to the diversity in geographical origins, the properties of honey can vary depending on the region of production, leading to discrepancies in honey pricing. Therefore, it is essential to examine these variations by analyzing several parameters in honey from diverse regions. In this work, honeys from 8 countries were characterized by measuring several physicochemical parameters and spectrophotometric assays aiming at geographical origin authentication. In addition, the polyphenolic profile of the samples was obtained by LC-LRMS. An acceptable discrimination of the samples was obtained when considering all variables altogether, with classification errors lower than 31.9%.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/224291
url https://hdl.handle.net/2445/224291
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/https://doi.org/10.3390/foods14223828
Foods, 2025, vol. 14, num.3828
https://doi.org/https://doi.org/10.3390/foods14223828
dc.rights.none.fl_str_mv cc-by (c) Mostoles, D. et al., 2025
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by (c) Mostoles, D. et al., 2025
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Articles publicats en revistes (Enginyeria Química i Química Analítica)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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