Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/39402

TítuloUV-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-chaveChemometrics
Descriptive models
Partial metabolome
Cassava genotypes
Carotenoids
RP-HPLC
UV-vis
DataOut-2015
EditoraDe Gruyter Open
RevistaJournal of Integrative Bioinformatics
CitaçãoMoresco, 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.
TipoArtigo
URIhttps://hdl.handle.net/1822/39402
DOI10.2390/biecoll-jib-2015-280
ISSN1613-4516
e-ISSN1613-4516
Versão da editorahttp://journal.imbio.de/article.php?aid=280
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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