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dc.creatorDias, M. Graçaes
dc.creatorBorge, Grethe Iren A.es
dc.creatorKljak, Kristinaes
dc.creatorMandíc, Anamarija I.es
dc.creatorMapelli Brahm, Paulaes
dc.creatorOlmedilla Alonso, Begoñaes
dc.creatorPintea, Adela M.es
dc.creatorRavasco, Franciscoes
dc.creatorŠaponjac, Vesna Tumbases
dc.creatorSereikaite, Jolantaes
dc.creatorVargas-Murga, Lilianaes
dc.creatorVulic, Jelena J.es
dc.creatorMeléndez Martínez, Antonio Jesúses
dc.date.accessioned2021-07-07T15:58:33Z
dc.date.available2021-07-07T15:58:33Z
dc.date.issued2021
dc.identifier.citationDias, M.G., Borge, G.I.A., Kljak, K., Mandíc, A.I., Mapelli Brahm, P., Olmedilla-Alonso, B.,...,Meléndez Martínez, A.J. (2021). European Database of Carotenoid Levels in Foods. Factors Affecting Carotenoid Content. Foods, 10 (5), 912.
dc.identifier.issn2304-8158es
dc.identifier.urihttps://hdl.handle.net/11441/115338
dc.description.abstractMany studies indicate that diets including carotenoid-rich foods have positive effects on human health. Some of these compounds are precursors of the essential nutrient vitamin A. The present work is aimed at implementing a database of carotenoid contents of foods available in the European market. Factors affecting carotenoid content were also discussed. Analytical data available in peer-reviewed scientific literature from 1990 to 2018 and obtained by HPLC/UHPLC were considered. The database includes foods classified according to the FoodEx2 system and will benefit compilers, nutritionists and other professionals in areas related to food and human health. The results show the importance of food characterization to ensure its intercomparability, as large variations in carotenoid levels are observed between species and among varieties/cultivars/landraces. This highlights the significance of integrating nutritional criteria into agricultural choices and of promoting biodiversity. The uncertainty quantification associated with the measurements of the carotenoid content was very rarely evaluated in the literature consulted. According to the EuroFIR data quality evaluation system for food composition tables, the total data quality index mean was 24 in 35, reflecting efforts by researchers in the analytical methods, and less resources in the sampling plan documentation.es
dc.formatapplication/pdfes
dc.format.extent31 p.es
dc.language.isoenges
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)es
dc.relation.ispartofFoods, 10 (5), 912.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAgro-foodes
dc.subjectAgronomyes
dc.subjectFood compositiones
dc.subjectFruits and vegetableses
dc.titleEuropean Database of Carotenoid Levels in Foods. Factors Affecting Carotenoid Contentes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Nutrición y Bromatología, Toxicología y Medicina Legales
dc.relation.publisherversionhttps://doi.org/10.3390/foods10050912es
dc.identifier.doi10.3390/foods10050912es
dc.journaltitleFoodses
dc.publication.volumen10es
dc.publication.issue5es
dc.publication.initialPage912es

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