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Amino acid profile of foods from the Portuguese Total Diet Pilot Study

Authors :
Ana Soares
Isabel Castanheira
Gerard Bryan Gonzales
Izunildo Cabral
Marisa Nicolai
Carla Motta
Ana Sofia Matos
Nelson Tavares
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

The amino acid content of foods commonly consumed by specific populations is rarely measured systematically, especially if we take into account the different ways that foods are usually processed or cooked. The objective of this study is to evaluate the amino acid profile of the representative foods on the Portuguese diet, with a particular focus on indispensable amino acids. We also aim to assess the amino acid intake of the population and the most common sources of amino acids within the Portuguese diet. To achieve these goals, the amino acid intake of Portuguese adults was assessed combining data of food consumption with the food analysis data from samples collected according to the Total Diet Study methodologies. Results of the amino acid profiles of food groups typically consumed in Portugal are reported in this paper. We found that red meat consumption is the most common source of amino acids of the Portuguese population, followed by white meat and fish. The main contribution of individual portions to the recommended intakes of essential amino acids were: cheese, 88%; red meat, 83%; fatty fish, 81% and seitan with 74%. This data could be used to show alternative amino acid sources within commonly consumed foods. Highlights: Amino acid content of foods included in Portuguese Total Diet Study was analysed; Red meat is the major source of dietary amino acids among Portuguese adults; Fatty fish and white and red meat provide the highest contribution to %RI of EAA. The scientific work was funded by the TDS Project, funded by European Union Horizon 2020 research and innovation programme under grant agreement No 739568. GB Gonzales is a postdoctoral fellow of the Research Foundation Flanders (FWO). We thank the FCT - MCTES for its financial support via the project UID/EMS/00667/2019 (UNIDEMI). info:eu-repo/semantics/publishedVersion

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....eb19607a96c3ba45e67dee88a3950969