dc.creatorPauli
dc.creatorElis Daiane; Bruns
dc.creatorRoy Edward; Scarminio
dc.creatorIeda Spacino
dc.date2016
dc.date2017-11-13T13:24:40Z
dc.date2017-11-13T13:24:40Z
dc.date.accessioned2018-03-29T05:57:13Z
dc.date.available2018-03-29T05:57:13Z
dc.identifierAnalytical Methods. Royal Soc Chemistry, v. 8, p. 7537 - 7544, 2016.
dc.identifier1759-9660
dc.identifier1759-9679
dc.identifierWOS:000387602300013
dc.identifier10.1039/c6ay02462a
dc.identifierhttp://pubs.rsc.org/en/content/articlelanding/2016/ay/c6ay02462a#!divAbstract
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/328357
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1365382
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionUV-Vis spectral fingerprinting was used to discriminate Camellia sinensis leaves of two different harvests and multivariate data analysis was applied to determine the relevant metabolites for separation. First statistical mixture designs of pure ethanol, ethyl acetate, dichloromethane and chloroform solvents as well as their binary, ternary and quaternary mixtures extracted larger varieties and amounts of C. sinensis leaf metabolites than would be obtained from classical solvent extractions. UV-Vis spectral fingerprints of crude extracts were subjected to Orthogonal Signal Correction and Partial Least Squares-Discrimination Analysis (OSC-PLS-DA) for classification. The spectra were all correctly identified and classified, showing that the OSC-PLS-DA model possesses a good predictive ability to separate spectral fingerprints of different harvests. VIP score values showed that bands at 272, 410 and 663 nm were responsible for separation. These metabolites were identified by HPLC-DAD as caffeine and pheophytin a. According to the mixture model, the maximum values of relative abundances of both caffeine and pheophytin a can be extracted with pure dichloromethane.
dc.description8
dc.description41
dc.description7537
dc.description7544
dc.descriptionCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ)
dc.descriptionFundacao Araucaria
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.languageEnglish
dc.publisherRoyal Soc Chemistry
dc.publisherCambrigde
dc.relationAnalytical Methods
dc.rightsfechado
dc.sourceWOS
dc.titleUv-vis Spectral Fingerprinting And Chemometric Method Applied To The Evaluation Of Camellia Sinensis Leaves From Different Harvests
dc.typeArtículos de revistas


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