Please use this identifier to cite or link to this item:
https://hdl.handle.net/2445/176689
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Núñez, Nerea | - |
dc.contributor.author | Saurina, Javier | - |
dc.contributor.author | Núñez Burcio, Oscar | - |
dc.date.accessioned | 2021-04-26T09:25:13Z | - |
dc.date.available | 2021-04-26T09:25:13Z | - |
dc.date.issued | 2021-04-12 | - |
dc.identifier.issn | 2304-8158 | - |
dc.identifier.uri | https://hdl.handle.net/2445/176689 | - |
dc.description.abstract | Coffee, one of the most popular drinks around the world, is also one of the beverages most sus-ceptible of being adulterated. Untargeted high-performance liquid chromatography with ultra-violet and fluorescence detection (HPLC-UV-FLD) fingerprinting strategies in combination with chemometrics were employed for the authenticity assessment and fraud quantitation of adulter-ated coffees involving three different and common adulterants: chicory, barley and flours. The methodologies were applied after a solid-liquid extraction procedure with a methanol:water 50:50 (v/v) solution as extracting solvent. Chromatographic fingerprints were obtained using a Kinetex® C18 reversed-phase column under gradient elution conditions using 0.1% formic acid aqueous solution and methanol as mobile phase components. The obtained coffee and adulter-ants extract HPLC-UV-FLD fingerprints were evaluated by partial least squares regres-sion-discriminants analysis (PLS-DA) resulting to be excellent chemical descriptors for sample discrimination. 100% classification rates for both PLS-DA calibration and prediction models were obtained. Besides, Arabica and Robusta coffee samples were adulterated with chicory, bar-ley and flours, and the obtained HPLC-UV-FLD fingerprints subjected to partial least squares (PLS) regression, demonstrating the feasibility of the proposed methodologies to assess coffee authenticity and to quantify adulteration levels (down to 15%), showing both calibration and prediction errors below 1.3% and 2.4%, respectively. | - |
dc.format.extent | 13 p. | - |
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/foods10040840 | - |
dc.relation.ispartof | Foods, 2021, vol. 10, num. 4, p. 840 | - |
dc.relation.uri | https://doi.org/10.3390/foods10040840 | - |
dc.rights | cc-by (c) Núñez, Nerea et al., 2021 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es | - |
dc.source | Articles publicats en revistes (Enginyeria Química i Química Analítica) | - |
dc.subject.classification | Qualitat dels aliments | - |
dc.subject.classification | Cafè (Beguda) | - |
dc.subject.classification | Alteració d'aliments | - |
dc.subject.classification | Quimiometria | - |
dc.subject.other | Food quality | - |
dc.subject.other | Coffee drink | - |
dc.subject.other | Food spoilage | - |
dc.subject.other | Chemometrics | - |
dc.title | Authenticity assessment and fraud quantitation of coffee adulterated with chicory, barley and blours by untargeted HPLC-UV-FLD fingerprinting and chemometrics | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 711667 | - |
dc.date.updated | 2021-04-26T09:25:13Z | - |
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 | |
---|---|---|---|---|
711667.pdf | 1.72 MB | Adobe PDF | View/Open |
This item is licensed under a
Creative Commons License