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727188.pdf (1.22 MB)

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2022

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cc-by (c) García Seval, Victor et al., 2022
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/192813

Characterization and Classification of Spanish Honey by Non-targeted LC-HRMS (Orbitrap) Fingerprinting and Multivariate Chemometric Methods

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Recurs relacionat

https://doi.org/10.3390/molecules27238357

Resum

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%.

Matèries

Mel d'abelles, Ressenya genètica, Quimiometria

Matèries (anglès)

Honey, DNA fingerprinting, Chemometrics

Citació

Col·leccions

Articles publicats en revistes (Enginyeria Química i Química Analítica)

Citació

GARCÍA SEVAL, Victor, et al. Characterization and Classification of Spanish Honey by Non-targeted LC-HRMS (Orbitrap) Fingerprinting and Multivariate Chemometric Methods. Molecules. 2022. Vol. 27, num. 23, pags. 8357. ISSN 1420-3049. [consulted: 6 of August of 2026]. Available at: https://hdl.handle.net/2445/192813

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