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http://hdl.handle.net/2445/174039Full 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 | 2021-02-18T09:35:52Z | - |
| dc.date.available | 2022-01-22T06:10:20Z | - |
| dc.date.issued | 2021-01-22 | - |
| dc.identifier.issn | 0956-7135 | - |
| dc.identifier.uri | http://hdl.handle.net/2445/174039 | - |
| dc.description.abstract | Coffee is today one of the most popular beverages in the world and the determination of its authenticity is an important issue considering the increase of adulteration cases in the last years. In this work, a simple and efficient non-targeted HPLC-FLD fingerprinting method was employed to detect and quantify adulteration levels in coffee samples by partial least squares (PLS) regression to guarantee food integrity and authenticity. For that purpose, different adulteration cases, involving both coffee production region and variety, were evaluated by pairs (Colombia-Ethiopia, Colombia-Nicaragua, India-Indonesia, Vietnam Arabica-Vietnam Robusta, Vietnam Arabica-Cambodia, and Vietnam Robusta-Cambodia adulteration cases). Overall, the proposed non-targeted HPLC-FLD fingerprinting strategy showed very good results with PLS cross-validation and prediction errors below 3.4% and 7.5%, respectively, for adulteration levels below 15%. Therefore, non-targeted HPLC-FLD fingerprints demonstrated to be suitable to assess coffee integrity and authenticity in the control and prevention of frauds. | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | eng | - |
| dc.publisher | Elsevier B.V. | - |
| dc.relation.isformatof | Versió postprint del document publicat a: https://doi.org/10.1016/j.foodcont.2021.107912 | - |
| dc.relation.ispartof | Food Control, 2021, vol. 124, p. 107912 | - |
| dc.relation.uri | https://doi.org/10.1016/j.foodcont.2021.107912 | - |
| dc.rights | cc-by-nc-nd (c) Elsevier B.V., 2021 | - |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es | - |
| dc.source | Articles publicats en revistes (Enginyeria Química i Química Analítica) | - |
| dc.subject.classification | Quimiometria | - |
| dc.subject.classification | Qualitat dels aliments | - |
| dc.subject.classification | Cafè (Beguda) | - |
| dc.subject.classification | Seguretat alimentària | - |
| dc.subject.other | Chemometrics | - |
| dc.subject.other | Food quality | - |
| dc.subject.other | Coffee drink | - |
| dc.subject.other | Food security | - |
| dc.title | Non-targeted HPLC-FLD fingerprinting for the detection and quantitation of adulterated coffee samples by chemometrics | - |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/acceptedVersion | - |
| dc.identifier.idgrec | 706406 | - |
| dc.date.updated | 2021-02-18T09:35:52Z | - |
| 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 | |
|---|---|---|---|---|
| 706406.pdf | 1.27 MB | Adobe PDF | View/Open |
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