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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/4859

    Título
    Combining excitation-emission matrix fluorescence spectroscopy, parallel factor analysis, cyclodextrin-modified micellar electrokinetic chromatography and partial least squares class-modelling for green tea characterization
    Autor
    Casale, Monica .
    Pasquini, Benedetta .
    Hooshyari, Maryam .
    Orlandini, Serena .
    Mustorgi, Eleonora .
    Malegori, Cristina .
    Turrini, Federica
    Ortiz Fernández, Mª CruzAutoridad UBU Orcid
    Sarabia Peinador, Luis AntonioAutoridad UBU Orcid
    Furlanetto, Sandra .
    Publicado en
    Journal of Pharmaceutical and Biomedical Analysis. 2018, V. 159, p. 311-317
    Editorial
    Elsevier
    Fecha de publicación
    2018-09
    ISSN
    0731-7085
    DOI
    10.1016/j.jpba.2018.07.001
    Zusammenfassung
    In 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.
    Palabras clave
    Catechins
    Cyclodextrin modified-micellar electrokinetic chromatography
    Excitation-emission matrix fluorescence spectroscopy
    Green tea
    Methylxanthines
    Parallel factor analysis
    Materia
    Química analítica
    Chemistry, Analytic
    URI
    http://hdl.handle.net/10259/4859
    Versión del editor
    https://doi.org/10.1016/j.jpba.2018.07.001
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    Attribution-NonCommercial-NoDerivatives 4.0 International
    Documento(s) sujeto(s) a una licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    Dateien zu dieser Ressource
    Nombre:
    Casale-JPBA_2018.pdf
    Tamaño:
    597.5Kb
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