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https://hdl.handle.net/1822/39402
Título: | UV-visible scanning spectrophotometry and chemometric analysis as tools for carotenoids analysis in cassava genotypes (Manihot esculenta Crantz) |
Autor(es): | Moresco, Rodolfo 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 |
Palavras-chave: | Chemometrics Descriptive models Partial metabolome Cassava genotypes Carotenoids RP-HPLC UV-vis |
Data: | Out-2015 |
Editora: | De Gruyter Open |
Revista: | Journal of Integrative Bioinformatics |
Citação: | Moresco, Rodolfo; Uarrota, Virgílio Gavicho; Pereira, Aline; Tomazzoli, Maíra Maciel; Nunes, Eduardo da C.; Peruch, Luiz Augusto Martins; Gazzola, Jussara; Costa, Christopher; Rocha, Miguel; Maraschin, Marcelo, UV-visible scanning spectrophotometry and chemometric analysis as tools for carotenoids analysis in cassava genotypes (Manihot esculenta Crantz). Journal of Integrative Bioinformatics, 12(4), 280, 2015 |
Resumo(s): | 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/39402 |
DOI: | 10.2390/biecoll-jib-2015-280 |
ISSN: | 1613-4516 |
e-ISSN: | 1613-4516 |
Versão da editora: | http://journal.imbio.de/article.php?aid=280 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_26630_1.pdf | 403,76 kB | Adobe PDF | Ver/Abrir |