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http://hdl.handle.net/2445/188981
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DC Field | Value | Language |
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dc.contributor.author | García-Seval, Víctor | - |
dc.contributor.author | Martínez Alfaro, Clàudia | - |
dc.contributor.author | Saurina, Javier | - |
dc.contributor.author | Núñez Burcio, Oscar | - |
dc.contributor.author | Sentellas, Sonia | - |
dc.date.accessioned | 2022-09-12T15:44:52Z | - |
dc.date.available | 2022-09-12T15:44:52Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 2304-8158 | - |
dc.identifier.uri | http://hdl.handle.net/2445/188981 | - |
dc.description.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. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | MDPI | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.3390/foods11152345 | - |
dc.relation.ispartof | Foods, 2022, vol. 11, num. 15, p. 2345 | - |
dc.relation.uri | https://doi.org/10.3390/foods11152345 | - |
dc.rights | cc-by (c) García-Seval, Víctor et al., 2022 | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.source | Articles publicats en revistes (Enginyeria Química i Química Analítica) | - |
dc.subject.classification | Mel d'abelles | - |
dc.subject.classification | Quimiometria | - |
dc.subject.classification | Cromatografia de líquids d'alta resolució | - |
dc.subject.other | Honey | - |
dc.subject.other | Chemometrics | - |
dc.subject.other | High performance liquid chromatography | - |
dc.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. | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 724440 | - |
dc.date.updated | 2022-09-12T15:44:52Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
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)) |
Files in This Item:
File | Description | Size | Format | |
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724440.pdf | 2.6 MB | Adobe PDF | View/Open |
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