Influencia del procesamiento de semillas de diferentes variedades de Chenopodium quinoa en su perfil nutraceútico y metabólico

Abstract

The purpose of this research consisted of the NMR metabolomics analysis performed with three quinoa cultivars with 5 treatments including the control. The results obtained by Lalaleo et al., (2020) in the project Differentiating, evaluating, and classifying three quinoa ecotypes by washing, cooking and germination treatments, using proton nuclear magnetic resonance-based metabolomic approach, were the basis for the development of this study. The raw data obtained were values resulting from the integration of the spectrum peaks of each sample analyzed and data from the correct grouping of each ecotype. The exploratory analysis of data groups from different quinoa cultivars allowed us to identify the normally distributed metabolites in the control group and in those that received some type of treatment. Discrimination between the type of seed processing and cultivar was performed using Random Forest. When the variety was analyzed as an important variable, it was determined that amino acids and certain nutrients are the most relevant to evaluate the accuracy of the model. Finally, the nutraceutical contribution of each variety and treatment was evaluated, based on the categorization. In the amino acids, it was identified that the germination treatment (G) has greater metabolic activity in the three varieties. In organic acids, formic and pyruvic acid show the greatest direct correlation in Ck and WCk. In carbohydrates, treatment G with the highest direct correlation exhibited galactose. The treatment (G) with the highest direct correlation in all its varieties with several metabolites in the other nutrients group.