Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/224291
Title: Honey geographical origin characterization and authentication based on spectrophotometric assays, physicochemical parameters and LC-MS/MS polyphenolic profiling
Author: Mostoles, Danica
de Krijger, Fleur
Mara, Andrea
Sanna, Gavino
Saurina, Javier
Sentellas, Sonia
Núñez Burcio, Oscar
Keywords: Antioxidants
Quimiometria
Mel d'abelles
Antioxidants
Chemometrics
Honey
Issue Date: Nov-2025
Publisher: MDPI
Abstract: 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%.
Note: Reproducció del document publicat a: https://doi.org/https://doi.org/10.3390/foods14223828
It is part of: Foods, 2025, vol. 14, num.3828
URI: https://hdl.handle.net/2445/224291
Related resource: https://doi.org/https://doi.org/10.3390/foods14223828
ISSN: 2304-8158
Appears in Collections:Articles publicats en revistes (Enginyeria Química i Química Analítica)
Articles publicats en revistes (Institut de Nanociència i Nanotecnologia (IN2UB))

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