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dc.contributor.authorUarrota, Virgílio Gavichopor
dc.contributor.authorMoresco, Rodolfopor
dc.contributor.authorCoelho, Biancapor
dc.contributor.authorNunes, Eduardo da Costapor
dc.contributor.authorPeruch, Luiz Augusto Martinspor
dc.contributor.authorNeubert, Enilto de Oliveirapor
dc.contributor.authorRocha, Miguelpor
dc.contributor.authorMaraschin, Marcelopor
dc.identifier.citationUarrota, V. G.; Moresco, R.; Coelho, B.; Nunes, E. C.; Peruch, L. A. M.; Neubert, E. O.; Rocha, Miguel; Maraschin, Marcelo, Metabolomics combined with chemometric tools (PCA, HCA, PLS-DA and SVM) for screening cassava (Manihot esculenta Crantz) roots during postharvest physiological deterioration. Food Chemistry, 161, 67-78, 2014por
dc.description.abstractCassava roots are an important source of dietary and industrial carbohydrates and suffer markedly from postharvest physiological deterioration (PPD). This paper deals with metabolomics combined with chemometric tools for screening the chemical and enzymatic composition in several genotypes of cassava roots during PPD. Metabolome analyses showed increases in carotenoids, flavonoids, anthocyanins, phenolics, reactive scavenging species, and enzymes (superoxide dismutase family, hydrogen peroxide, and catalase) until 3–5 days postharvest. PPD correlated negatively with phenolics and carotenoids and positively with anthocyanins and flavonoids. Chemometric tools such as principal component analysis, partial least squares discriminant analysis, and support vector machines discriminated well cassava samples and enabled a good prediction of samples. Hierarchical clustering analyses grouped samples according to their levels of PPD and chemical compositions.por
dc.description.sponsorshipWe are thankful to PEC-PG ("Programa de Estudantes Convenio de Pos-Graduacao") coordinated by CAPES ("Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior") for fully-funded studentship. We are also grateful to Professor Bryan A. Hanson (DePauw University, Department of Chemistry and Biochemistry, Greencastle, Indiana, USA) for his valuable help in ChemoSpec package and R software data mining. Marcelo Maraschin thanks to CNPq for the research productivity fellowship.por
dc.publisherElsevier B.V.por
dc.subjectPostharvest deteriorationpor
dc.titleMetabolomics combined with chemometric tools (PCA, HCA, PLS-DA and SVM) for screening cassava (Manihot esculenta Crantz) roots during postharvest physiological deteriorationpor
oaire.citationTitleFood Chemistrypor
dc.subject.wosScience & Technologypor
sdum.journalFood Chemistrypor
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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