Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/188981
Title: Characterization, Classification and Authentication of Spanish Blossom and Honeydew Honeys by non-targeted HPLC-UV and off-line SPE HPLC-UV Polyphenolic Fingerprinting Strategies.
Author: García-Seval, Víctor
Martínez Alfaro, Clàudia
Saurina, Javier
Núñez Burcio, Oscar
Sentellas, Sonia
Keywords: Mel d'abelles
Quimiometria
Cromatografia de líquids d'alta resolució
Honey
Chemometrics
High performance liquid chromatography
Issue Date: 2022
Publisher: MDPI
Abstract: Honey is a highly consumed natural product produced by bees which is susceptible to fraudulent practices, some of them regarding their botanical origin. Two HPLC-UV non-targeted finger-printing approaches were evaluated in this work to address honey characterization, classification, and authentication based on honey botanical variety. The first method used no sample treatment and a universal reversed-phase chromatographic separation. On the contrary, the second method was based on an off-line SPE preconcentration method, optimized for the isolation and extraction of polyphenolic compounds, and a reversed-phase chromatographic separation opti-mized for polyphenols as well.. For the off-line SPE method, the use of HLB (3 mL, 60 mg) car-tridges, and 6 mL of methanol as eluent, allowed to achieve acceptable recoveries for the selected polyphenols. The obtained HPLC-UV fingerprints were subjected to exploratory principal com-ponent analysis (PCA) and classificatory partial least squares-discriminant analysis (PLS-DA) to evaluate their viability as sample chemical descriptors for authentication purposes. Both HPLC-UV fingerprints resulted to be appropriate to discriminate between blossom-honeys and honeydew-honeys. However, superior performance was accomplished with off-line SPE HPLC-UV polyphenolic fingerprints, being able to differentiate among the different blos-som-honey samples under study (orange/lemon blossom, rosemary, thyme, eucalyptus, and heather). In general, this work demonstrated the feasibility of HPLC-UV fingerprints, especially those obtained after off-line SPE polyphenolic isolation and extraction, to be employed as honey chemical descriptors to address the characterization and classification of honey samples according to their botanical origin.
Note: Reproducció del document publicat a: https://doi.org/10.3390/foods11152345
It is part of: Foods, 2022, vol. 11, num. 15, p. 2345
URI: http://hdl.handle.net/2445/188981
Related resource: https://doi.org/10.3390/foods11152345
ISSN: 2304-8158
Appears in Collections:Articles publicats en revistes (Enginyeria Química i Química Analítica)
Articles publicats en revistes (Institut de Recerca en Nutrició i Seguretat Alimentària (INSA·UB))

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