Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/36047

TitleCarotenoid analysis of Cassava genotypes roots (Manihot Esculenta Crantz) cultivated in Southern Brazil using chemometric tools
Author(s)Moresco, Rodolfo
Uarrota, Virgílio Gavicho
Pereira, Aline
Tomazzoli, M. M.
Nunes, Eduardo da Costa
Peruch, Luiz Augusto Martins
Costa, Christopher
Rocha, Miguel
Maraschin, Marcelo
KeywordsChemometrics
Descriptive models
Partial metabolome
Cassava genotypes
Carotenoids
RP-HPLC
UV-vis
Issue date2015
PublisherSpringer
JournalAdvances in Intelligent Systems and Computing
CitationMoresco, Rodolfo; Uarrota, Virgí­lio G.; Pereira, Aline; Tomazzoli, Maí­ra; da C. Nunes, Eduardo; Peruch, Luiz Augusto Martins; Costa, Christopher; Rocha, Miguel; Maraschin, Marcelo, Carotenoid analysis of Cassava genotypes roots (Manihot Esculenta Crantz) cultivated in Southern Brazil using chemometric tools. Advances in Intelligent Systems and Computing, 375, 11-18, 2015
Abstract(s)Manihot esculenta 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, In this study, the metabolomics characterization focusing on the carotenoid composition of ten cassava genotypes cultivated in southern Brazil by UV-visible scanning spectrophotometry and reverse phase-high performance liquid chromatography was performed. The data set was used for the construction of a descriptive model by chemometric analysis. The genotypes of yellow roots were clustered by the higher concentrations of cis--carotene and lutein. Inversely, cream roots genotypes were grouped precisely due to their lower concentrations of these pigments, as samples rich in lycopene 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.
TypeConference paper
URIhttp://hdl.handle.net/1822/36047
ISBN9783319197753
DOI10.1007/978-3-319-19776-0_2
ISSN2194-5357
e-ISSN2194-5365
Publisher versionhttp://www.springer.com/series/11156
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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