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European Database of Carotenoid Levels in Foods. Factors Affecting Carotenoid Content

dc.contributor.authorDias, Maria da Graça
dc.contributor.authorBorge, Grethe Iren A.
dc.contributor.authorKljak, Kristina
dc.contributor.authorMandić, Anamarija
dc.contributor.authorMapelli-Brahm, Paula
dc.contributor.authorOlmedilla-Alonso, Begoña
dc.contributor.authorPintea, Adela M.
dc.contributor.authorRavasco, Francisco
dc.contributor.authorŠaponjac, Vesna Tumbas
dc.contributor.authorSereikaitė, Jolanta
dc.contributor.authorVargas-Murga, Liliana
dc.contributor.authorVulić, Jelena J.
dc.contributor.authorMeléndez-Martínez, Antonio
dc.date.accessioned2021-12-23T16:23:01Z
dc.date.available2021-12-23T16:23:01Z
dc.date.issued2021-04-21
dc.descriptionThis article belongs to the Special Issue Natural Carotenoids as Functional Food Ingredients.pt_PT
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.pt_PT
dc.description.sponsorshipThis research article is based upon work from COST Action EUROCAROTEN (European network to advance carotenoid research and applications in agro-food and health, CA15136, www.eurocaroten.eu; accessed on 1 February 2021), supported by COST (European Cooperation in Science and Technology, http://www.cost.eu/; accessed on 1 February 2021).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFoods. 2021 Apr 21;10(5):912. doi: 10.3390/foods10050912pt_PT
dc.identifier.doihttps://doi.org/10.3390/ foods10050912pt_PT
dc.identifier.eissn2304-8158
dc.identifier.urihttp://hdl.handle.net/10400.18/7832
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationCOSTpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2304-8158/10/5/912pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAgro-foodpt_PT
dc.subjectEuropean Databasept_PT
dc.subjectCarotenoid Levels in Foodspt_PT
dc.subjectCarotenoid Contentpt_PT
dc.subjectFactors Affectingpt_PT
dc.subjectImplementing a Databasept_PT
dc.subjectAgronomypt_PT
dc.subjectFood Compositionpt_PT
dc.subjectFruits and Vegetablespt_PT
dc.subjectComposição dos Alimentospt_PT
dc.titleEuropean Database of Carotenoid Levels in Foods. Factors Affecting Carotenoid Contentpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue5pt_PT
oaire.citation.startPage912pt_PT
oaire.citation.titleFoodspt_PT
oaire.citation.volume10pt_PT
rcaap.embargofctAcesso de acordo com política editorial da revista.pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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