2026-04-23T00:08:29Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/48592021-11-10T09:38:26Zcom_10259_4249com_10259_5086com_10259_2604col_10259_4250
Casale, Monica .
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Pasquini, Benedetta .
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Hooshyari, Maryam .
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Orlandini, Serena .
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Mustorgi, Eleonora .
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Malegori, Cristina .
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Turrini, Federica
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Ortiz Fernández, Mª Cruz
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Sarabia Peinador, Luis Antonio
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Furlanetto, Sandra .
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2018-07-23T07:41:54Z
2018-09
2020-09-10
0731-7085
http://hdl.handle.net/10259/4859
10.1016/j.jpba.2018.07.001
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.
application/pdf
eng
Elsevier
Journal of Pharmaceutical and Biomedical Analysis. 2018, V. 159, p. 311-317
https://doi.org/10.1016/j.jpba.2018.07.001
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
Catechins
Cyclodextrin modified-micellar electrokinetic chromatography
Excitation-emission matrix fluorescence spectroscopy
Green tea
Methylxanthines
Parallel factor analysis
Química analítica
Chemistry, Analytic
Combining excitation-emission matrix fluorescence spectroscopy, parallel factor analysis, cyclodextrin-modified micellar electrokinetic chromatography and partial least squares class-modelling for green tea characterization
info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
CC-LICENSE
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Casale-JPBA_2018.pdf
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Casale-JPBA_2018.pdf.txt
Casale-JPBA_2018.pdf.txt
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10259/4859
oai:riubu.ubu.es:10259/4859
2021-11-10 10:38:26.853
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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