Authenticity assessment and fraud quantitation of coffee adulterated with chicory, barley and blours by untargeted HPLC-UV-FLD fingerprinting and chemometrics
| 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.date.updated | 2021-04-26T09:25:13Z | |
| 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.identifier.idgrec | 711667 | |
| dc.identifier.issn | 2304-8158 | |
| dc.identifier.uri | https://hdl.handle.net/2445/176689 | |
| 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.accessRights | info:eu-repo/semantics/openAccess | |
| 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 |
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