Browsing by Author "Dias, M.G."
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- A comprehensive review on carotenoids in foods and feeds: status quo, applications, patents, and research needsPublication . Meléndez-Martínez, A.J.; Mandić, A.I.; Bantis, F.; Böhm, V.; Borge, G.I.A.; Brnčić, M.; Bysted, A.; Cano, M.P.; Dias, M.G.; Elgersma, A.; Fikselová, M.; García-Alonso, J.; Giuffrida, D.; Gonçalves, V.S.S.; Hornero-Méndez, D.; Kljak, K.; Lavelli, V.; Manganaris, G.A.; Mapelli-Brahm, P.; Marounek, M.; Olmedilla-Alonso, B.; Periago-Castón, M.J.; Pintea, A.; Sheehan, J.J.; Tumbas Šaponjac, V.; Valšíková-Frey, M.; Meulebroek, L.V.; O'Brien, N.Carotenoids are isoprenoids widely distributed in foods that have been always part of the diet of humans. Unlike the other so-called food bioactives, some carotenoids can be converted into retinoids exhibiting vitamin A activity, which is essential for humans. Furthermore, they are much more versatile as they are relevant in foods not only as sources of vitamin A, but also as natural pigments, antioxidants, and health-promoting compounds. Lately, they are also attracting interest in the context of nutricosmetics, as they have been shown to provide cosmetic benefits when ingested in appropriate amounts. In this work, resulting from the collaborative work of participants of the COST Action European network to advance carotenoid research and applications in agro-food and health (EUROCAROTEN, www.eurocaroten.eu, https://www.cost.eu/actions/CA15136/#tabs|Name:overview) research on carotenoids in foods and feeds is thoroughly reviewed covering aspects such as analysis, carotenoid food sources, carotenoid databases, effect of processing and storage conditions, new trends in carotenoid extraction, daily intakes, use as human, and feed additives are addressed. Furthermore, classical and recent patents regarding the obtaining and formulation of carotenoids for several purposes are pinpointed and briefly discussed. Lastly, emerging research lines as well as research needs are highlighted.
- A conceptual framework for the collection of food products in a Total Diet StudyPublication . Turrini, A.; Lombardi-Boccia, G.; Aureli, F.; Cubadda, F.; D'Addezio, L.; D'Amato, M.; D'Evoli, L.; Darnerud, P.; Devlin, N.; Dias, M.G.; Jurković, M.; Kelleher, C.; Le Donne, C.; López Esteban, M.; Lucarini, M.; Martinez Burgos, M.; Martínez-Victoria, E.; McNulty, B.; Mistura, L.; Nugent, A.; Oktay Basegmez, H.; Oliveira, L.; Ozer, H.; Perelló, G.; Pite, M.; Presser, K.; Sokolić, D.; Vasco, E.; Volatier, J.L.A total diet study (TDS) provides representative and realistic data for assessing the dietary intake of chemicals, such as contaminants and residues, and nutrients, at a population level. Reproducing the diet through collection of customarily consumed foods and their preparation as habitually eaten is crucial to ensure representativeness, i.e., all relevant foods are included and all potential dietary sources of the substances investigated are captured. Having this in mind, a conceptual framework for building a relevant food-shopping list was developed as a research task in the European Union's 7th Framework Program project, 'Total Diet Study Exposure' (TDS-Exposure), aimed at standardising methods for food sampling, analyses, exposure assessment calculations and modelling, priority foods, and selection of chemical contaminants. A stepwise approach following the knowledge translation (KT) model for concept analysis is proposed to set up a general protocol for the collection of food products in a TDS in terms of steps (characterisation of the food list, development of the food-shopping list, food products collection) and pillars (background documentation, procedures, and tools). A simple model for structuring the information in a way to support the implementation of the process, by presenting relevant datasets, forms to store inherent information, and folders to record the results is also proposed. Reproducibility of the process and possibility to exploit the gathered information are two main features of such a system for future applications.
- Data quality based on value documentationPublication . Roe, M.; Westenbrink, S.; Costa, H.S.; Milesević, J.; Kadvan, A.; Albuquerque, T.G.; Dias, M.G.EuroFIR Data Quality:- Quality Management Framework: Laboratory; Compilation process; Publication/data exchange; - Value quality assessment: Assessment of value quality based on; Food description; Component identification; Sampling; Analytical procedures.
- Develop methodology for quality evaluation data from national FCDBs – Task 1.2, update D1.2Publication . Costa, H.S.; Dias, M.G.; Albuquerque, T.G.; Ravasco, F.; Lopes, A.; Finglas, P.; Roe, M.; Milesević, J.; Kadvan, A.; Westenbrink, S.About TASK 1.2 - To develop an approach to evaluate quality of national FCDBs.