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dc.contributor.authorCasale, Monica .
dc.contributor.authorPasquini, Benedetta .
dc.contributor.authorHooshyari, Maryam .
dc.contributor.authorOrlandini, Serena .
dc.contributor.authorMustorgi, Eleonora .
dc.contributor.authorMalegori, Cristina .
dc.contributor.authorTurrini, Federica
dc.contributor.authorOrtiz Fernández, Mª Cruz 
dc.contributor.authorSarabia Peinador, Luis Antonio 
dc.contributor.authorFurlanetto, Sandra .
dc.date.accessioned2018-07-23T07:41:54Z
dc.date.issued2018-09
dc.identifier.issn0731-7085
dc.identifier.urihttp://hdl.handle.net/10259/4859
dc.description.abstractIn this study, an alternative analytical approach for analyzing and characterizing green tea (GT) samples is proposed, based on the combination of excitation–emission matrix (EEM) fluorescence spectroscopy and multivariate chemometric techniques. The three-dimensional spectra of 63 GT samples were recorded using a Perkin–Elmer LS55 luminescence spectrometer; emission spectra were recorded between 295 and 800 nm at excitation wavelength ranging from 200 to 290 nm, with excitation and emission slits both set at 10 nm. The excitation and emission profiles of two factors were obtained using Parallel Factor Analysis (PARAFAC) as a 3-way decomposition method. In this way, for the first time, the spectra of two main fluorophores in green teas have been found. Moreover, a cyclodextrin-modified micellar electrokinetic chromatography method was employed to quantify the most represented catechins and methylxanthines in a subset of 24 GT samples in order to obtain complementary information on the geographical origin of tea. The discrimination ability between the two types of tea has been shown by a Partial Least Squares Class-Modelling performed on the electrokinetic chromatography data, being the sensitivity and specificity of the class model built for the Japanese GT samples 98.70% and 98.68%, respectively. This comprehensive work demonstrates the capability of the combination of EEM fluorescence spectroscopy and PARAFAC model for characterizing, differentiating and analyzing GT samples.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherElsevieren
dc.relation.ispartofJournal of Pharmaceutical and Biomedical Analysis. 2018, V. 159, p. 311-317en
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCatechinsen
dc.subjectCyclodextrin modified-micellar electrokinetic chromatographyen
dc.subjectExcitation-emission matrix fluorescence spectroscopyen
dc.subjectGreen teaen
dc.subjectMethylxanthinesen
dc.subjectParallel factor analysisen
dc.subject.otherQuímica analíticaes
dc.subject.otherChemistry, Analyticen
dc.titleCombining excitation-emission matrix fluorescence spectroscopy, parallel factor analysis, cyclodextrin-modified micellar electrokinetic chromatography and partial least squares class-modelling for green tea characterizationen
dc.typeinfo:eu-repo/semantics/article
dc.date.embargo2020-09-10
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.relation.publisherversionhttps://doi.org/10.1016/j.jpba.2018.07.001
dc.identifier.doi10.1016/j.jpba.2018.07.001
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersionen


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