Ciencia e Ingeniería en Alimentos y Biotecnología

URI permanente para esta comunidadhttp://repositorio.uta.edu.ec/handle/123456789/412

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Tema: search.filters.subject.METABOLÓMICA

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  • Miniatura
    Item type:Ítem,
    Influencia del procesamiento de semillas de diferentes variedades de Chenopodium quinoa en su perfil nutraceútico y metabólico
    (Universidad Técnica de Ambato. Facultad de Ciencia e Ingeniería en Alimentos y Biotecnología. Carrera de Biotecnología, 2022-09)
    Carrillo Hidalgo, Doménica Carolina
    ;
    Lalaleo Córdova, Liliana Paulina
    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.
  • Miniatura
    Item type:Ítem,
    Uso de la metabolómica para verificar autenticidad, origen y aporte nutracéutico entre cultivares de Tropaeolum tuberosum
    (Universidad Técnica de Ambato. Facultad de Ciencia e Ingeniería en Alimentos y Biotecnología. Carrera de Ingeniería Bioquímica, 2022-03)
    Hernández Salazar, María José
    ;
    Lalaleo Córdova, Liliana Paulina
    The present study consisted of the processing and analysis of data from a metabolomics study using the nuclear magnetic resonance technique of six different cultivars of Tropaeolum tuberosum (mashua), whose results are published by Valle-Parra et al 2020: From morphological traits to the food fingerprint of Tropaeolum tuberosum through metabolomics by NMR. Data includes: cultivar ID (A-F); sample collection area (I, II and III); information on the content of 34 metabolites (in mM); and integration values of each resonance spectrum at an interval of 0.4 ppm (234 values per spectrum). These data were subjected to multivariable analysis by PCA revealing a grouping between cultivars A-B, C-D-E and F. These three subgroups coincided with the grouping of the analysis of the collection area. Subsequently, the performance of the machine learning classification models was evaluated: LDA, SVM and RF. The former had the lowest performance with a percentage accuracy range between 83.2 and 87.6, the second between 86.5 and 96.4, and RF had the best performance between 96.4 and 100. Finally, the nutraceutical contribution of the cultivars was evaluated, and they were ranked according to their content of amino acids, carbohydrates, organic acids, among other nutrients. In global and amino acid terms, cultivar F stood out for its superior contribution to the other cultivars; cultivar A has the highest content of organic acids, while cultivars B and D of carbohydrates.