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http://hdl.handle.net/2445/192813
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DC Field | Value | Language |
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dc.contributor.author | García Seval, Victor | - |
dc.contributor.author | Saurina, Javier | - |
dc.contributor.author | Sentellas, Sonia | - |
dc.contributor.author | Núñez Burcio, Oscar | - |
dc.date.accessioned | 2023-01-31T15:18:20Z | - |
dc.date.available | 2023-01-31T15:18:20Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 1420-3049 | - |
dc.identifier.uri | http://hdl.handle.net/2445/192813 | - |
dc.description.abstract | A non-targeted LC-HRMS fingerprinting methodology using an Orbitrap mass analyzer, and based on C18 reversed-phase mode under universal gradient elution, was developed to characterize and classify Spanish honey samples. A simple sample treatment consisting of honey dis-solution with water and a 1:1 dilution with methanol was proposed. 136 honey samples belonging to different blossom- and honeydew-honeys from different botanical varieties and produced in different Spanish geographical regions were analyzed. The obtained LC-HRMS fingerprints were employed as sample chemical descriptors for honey pattern recognition by principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). The results demonstrated a superior honey classification and discrimination capability with respect to previous non-targeted HPLC-UV fingerprinting approaches, being able to discriminate and authenticate the honey samples according to their botanical origins. Overall, noteworthy cross-validation multiclass predictions were accomplished, with sensitivity and specificity values higher than 96.2%, except for orange/lemon blossom (BL) and rosemary (RO) blossom-honeys. The proposed methodology was also able to classify and authenticate the climatic geographical production region of the analyzed honey samples, with cross-validation sensitivity and specificity values higher than 87.1%, and classification errors below 10.5%. | - |
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/molecules27238357 | - |
dc.relation.ispartof | Molecules, 2022, vol. 27, num. 23, p. 8357 | - |
dc.relation.uri | https://doi.org/10.3390/molecules27238357 | - |
dc.rights | cc-by (c) García Seval, Victor 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 | Ressenya genètica | - |
dc.subject.classification | Quimiometria | - |
dc.subject.other | Honey | - |
dc.subject.other | DNA fingerprinting | - |
dc.subject.other | Chemometrics | - |
dc.title | Characterization and Classification of Spanish Honey by Non-targeted LC-HRMS (Orbitrap) Fingerprinting and Multivariate Chemometric Methods | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 727188 | - |
dc.date.updated | 2023-01-31T15:18:20Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Enginyeria Química i Química Analítica) |
Files in This Item:
File | Description | Size | Format | |
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727188.pdf | 1.25 MB | Adobe PDF | View/Open |
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