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Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.18/409

Título: Proximate and Mineral profile of Quinoa (Chenopodium quinoa), and kiwicha (Amaranthus caudatus) consumed in north of Argentina
Autor: Coelho, Inês
Gueifão, Sandra
Nascimento, Ana Cláudia
Lobo, Manuel
Gimenez, Gimenez
Samman, Norma
Castanheira, Isabel
Palavras-chave: Quinoa
Chenopodium Quinoa
Kiwicha
Amaranthus Caudatus
Pseudocereals
Proximate
Minerals
Composição dos Alimentos
Segurança Alimentar
Issue Date: Sep-2011
Editora: Instituto Nacional de Saúde Doutor Ricardo Jorge, IP
Resumo: Quinoa (Chenopodium quinoa), and kiwicha (Amaranthus caudatus) are pseudo-cereals largely consumed in North of Argentina. They gained special attention by scientific community in part due to high nutritional value. Therefore the nutrient analysis with the purpose to be included in Argentinean Food Composition Databank is urgent. In this work proximal and mineral profile of Quinoa consumed in the North of Argentina was determined and reported for the first time, for the purpose to be included in national Food Composition Databank and disseminated through EuroFIR e-search platform. Ash, Moisture, Dietary Fibre, Protein, and Fat content were determined by AOAC methods and Calcium, Copper, Iron, Sodium, Potassium, Phosphorus, Magnesium, were analyzed by or ICP-OES and Selenium by ICP-MS. The values were obtained applying quality criteria as defined by EuroFIR guidelines for laboratory analysis. This required criteria on sample handling, an appropriate analytical method in terms of precision and accuracy, limit of quantification selectivity, and an effective internal and external quality control program including appropriate use of Certified Reference Materials and participation in adequate Proficiency Testing Schemes carried out by laboratories hold ISO/EN 17025. Guidelines for laboratory performance are paramount to guarantee the acceptability of values in LATINFOODS and others Food Data Organizations. This provides the necessary information to the users of Food Composition Databanks who wish to have an overview of the parameters, which influence the estimation of nutrient intake, and may affect the diet-disease relationship.
Arbitragem científica: yes
URI: http://hdl.handle.net/10400.18/409
Appears in Collections:DAN - Posters/abstracts em congressos internacionais

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