dc.creator | Nogales Bueno, Julio | es |
dc.creator | Baca Bocanegra, Berta | es |
dc.creator | Romero Molina, Laura | es |
dc.creator | Martínez López, Alicia | es |
dc.creator | Rato, Ana Elisa | es |
dc.creator | Heredia Mira, Francisco José | es |
dc.creator | Hernández Hierro, José Miguel | es |
dc.creator | Escudero Gilete, María Luisa | es |
dc.creator | González-Miret Martín, María Lourdes | es |
dc.date.accessioned | 2024-01-19T13:19:35Z | |
dc.date.available | 2024-01-19T13:19:35Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Nogales Bueno, J., Baca Bocanegra, B., Romero Molina, L., Martínez López, A., Rato, A.E., Heredia Mira, F.J.,...,González-Miret Martín, M.L. (2020). Control of the extractable content of bioactive compounds in coffee beans by near infrared hyperspectral imaging. LWT Food Science & Technology, 134, 110201. https://doi.org/10.1016/j.lwt.2020.110201. | |
dc.identifier.issn | 0023-6438 | es |
dc.identifier.uri | https://hdl.handle.net/11441/153666 | |
dc.description.abstract | Control of coffee quality has a great importance for being one of the most important raw materials within the international trade. The extractable composition of coffee has been studied in recent decades and the use of non-destructive methodologies is being continuously promoted. In this study, near infrared hyperspectral imaging has been applied to develop non-destructive methods for the control of extractable contents of caffeine, chlorogenic acid, total phenolics and melanoidins in coffee beans.
Extractable contents and trends obtained among the different coffee types analysed are similar to those obtained previously in other studies. Moreover, modified partial least square (MPLS) regressions produced prediction models with standard errors of prediction in external validation of 12.01%, 15.61% and 17.61% for caffeine, chlorogenic acid and total phenolics, respectively. Therefore, results obtained for these three parameters indicate that NIR spectroscopy has a great potential for their control in coffee beans. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | LWT Food Science & Technology, 134, 110201. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Control of the extractable content of bioactive compounds in coffee beans by near infrared hyperspectral imaging | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Nutrición y Bromatología, Toxicología y Medicina Legal | es |
dc.relation.projectID | ALT20-03-0145- FEDER-000005 | es |
dc.relation.publisherversion | https://dx.doi.org/10.1016/j.lwt.2020.110201 | es |
dc.identifier.doi | 10.1016/j.lwt.2020.110201 | es |
dc.journaltitle | LWT Food Science & Technology | es |
dc.publication.volumen | 134 | es |
dc.publication.initialPage | 110201 | es |
dc.contributor.funder | European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) | es |