dc.creator | Nogales Bueno, Julio | es |
dc.creator | Baca Bocanegra, Berta | es |
dc.creator | Hernández Hierro, José Miguel | es |
dc.creator | García, Raquel | es |
dc.creator | Mota Barroso, João | es |
dc.creator | Heredia Mira, Francisco José | es |
dc.creator | Rato, Ana Elisa | es |
dc.date.accessioned | 2022-02-04T09:59:25Z | |
dc.date.available | 2022-02-04T09:59:25Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Nogales Bueno, J., Baca Bocanegra, B., Hernández Hierro, J.M., García, R., Mota Barroso, J., Heredia Mira, F.J. y Rato, A.E. (2021). Assessment of Total Fat and Fatty Acids in Walnuts Using Near-Infrared Hyperspectral Imaging. Frontiers in Plant Science, 12, 729880. | |
dc.identifier.issn | 1664-462X (electrónico) | es |
dc.identifier.uri | https://hdl.handle.net/11441/129644 | |
dc.description.abstract | “Persian” walnut (Juglans Regia L.) is one of the most consumed tree nuts in the world.
It is rich in several bioactive compounds, with polyunsaturated and monounsaturated
fatty acids (PUFA and MUFA) appearing at high concentrations. Walnut consumption
protects against cardiovascular, carcinogenic, and neurological disorders. The fatty acid
profile has usually been determined by gas chromatography, a reliable and robust tool,
but also complex, polluting, and time consuming. In this study, near infrared hyperspectral
imaging has been used for the screening of total fat, MUFA, PUFA, saturated, and individual
fatty acids in walnuts. Five different walnuts varieties have been considered and modified
partial least square (MPLS) regressions have been performed. The SEs of prediction (SEP)
in external validation (ranged from 2.12% for PUFA to 13.08% for MUFA) suggest that
hyperspectral imaging can be a reliable tool for controlling these parameters in a simple,
non-destructive and environmentally friendly way | es |
dc.description.sponsorship | MINECO FJC2018-037967-I | es |
dc.format | application/pdf | es |
dc.format.extent | 11 p. | es |
dc.language.iso | eng | es |
dc.publisher | Frontiers Media | es |
dc.relation.ispartof | Frontiers in Plant Science, 12, 729880. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Walnut | es |
dc.subject | Total fat | es |
dc.subject | Fatty acids | es |
dc.subject | Hyperspectral imaging | es |
dc.subject | Near infrared | es |
dc.subject | Chemometrics | es |
dc.title | Assessment of Total Fat and Fatty Acids in Walnuts Using Near-Infrared Hyperspectral Imaging | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Química Analítica | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Nutrición y Bromatología, Toxicología y Medicina Legal | es |
dc.relation.projectID | FJC2018-037967-I | es |
dc.relation.publisherversion | https://doi.org/10.3389/fpls.2021.729880 | es |
dc.identifier.doi | 10.3389/fpls.2021.729880 | es |
dc.journaltitle | Frontiers in Plant Science | es |
dc.publication.volumen | 12 | es |
dc.publication.initialPage | 729880 | es |
dc.contributor.funder | Ministerio de Economia, Industria y Competitividad (MINECO). España | es |
dc.description.awardwinning | Premio Mensual Publicación Científica Destacada de la US. Facultad de Farmacia | |