UV-visible scanning spectrophotometry and chemometric analysis as tools for carotenoids analysis in cassava genotypes (Manihot esculenta Crantz)

• Autor(a) principal: Moresco, Rodolfo
• Data de Publicação: 2015
• Outros Autores: Uarrota, Virgílio Gavicho, Pereira, Aline, Tomazzoli, Maíra Maciel, Nunes, Eduardo da C., Peruch, Luiz Augusto Martins, Gazzola, Jussara, Costa, Christopher Borges, Rocha, Miguel, Maraschin, Marcelo
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/1822/39402
• topic: Chemometrics; Descriptive models; Partial metabolome; Cassava genotypes; Carotenoids; RP-HPLC; UV-vis; Ciências Agrárias::Biotecnologia Agrária e Alimentar; Science & Technology

In this study, the metabolomics characterization focusing on the carotenoid composition of ten cassava (Manihot esculenta) genotypes cultivated in southern Brazil by UV-visible scanning spectrophotometry and reverse phase-high performance liquid chromatography was performed. Cassava roots rich in -carotene are an important staple food for populations with risk of vitamin A deficiency. Cassava genotypes with high pro-vitamin A activity have been identified as a strategy to reduce the prevalence of deficiency of this vitamin. The data set was used for the construction of a descriptive model by chemometric analysis. The genotypes of yellow-fleshed roots were clustered by the higher concentrations of cis--carotene and lutein. Inversely, cream-fleshed roots genotypes were grouped precisely due to their lower concentrations of these pigments, as samples rich in lycopene (redfleshed) differed among the studied genotypes. The analytical approach (UV-Vis, HPLC, and chemometrics) used showed to be efficient for understanding the chemodiversity of cassava genotypes, allowing to classify them according to important features for human health and nutrition.