D-Optimal Design and PARAFAC as Useful Tools for the Optimisation of Signals from Fluorescence Spectroscopy Prior to the Characterisation of Green Tea Samples
Autor: | Monica Casale, Laura Rubio Rubio, Maryam Hooshyari, Luis A. Sarabia, Federica Turrini, Sandra Furlanetto, M.C. Ortiz |
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Rok vydání: | 2018 |
Předmět: |
Optimal design
complex mixtures 01 natural sciences Applied Microbiology and Biotechnology PARAFAC Fluorescence spectroscopy Analytical Chemistry 0404 agricultural biotechnology Front-face fluorescence spectroscopy Safety Risk Reliability and Quality D-optimal design Chinese tea Mathematics PCA Chromatography Molecular fluorescence Characterisation 010401 analytical chemistry food and beverages 04 agricultural and veterinary sciences Green tea 040401 food science 0104 chemical sciences Principal component analysis Safety Research Food Science |
Zdroj: | Food Analytical Methods. 12:761-772 |
ISSN: | 1936-976X 1936-9751 |
DOI: | 10.1007/s12161-018-01408-0 |
Popis: | A procedure based on a D-optimal design coupled with PARAFAC was proposed to optimise signals from molecular fluorescence spectroscopy to obtain the best experimental conditions for the achievement of the best fluorescence signal of green tea samples. Excitation-emission signals (EEMs) were used to analyse the liquid samples (tea infusions), whereas front-face fluorescence excitation-emission matrices (FFEEMs) were recorded for the solid samples (raw or powder tea leaves). The experimental effort was reduced considerably in both cases thanks to the D-optimal design. Once the optimal conditions have been found, the characterisation of green tea was carried out and the sensitivity and specificity were evaluated. The projection of the principal component analysis (PCA) scores enabled to differentiate among the types of liquid green tea (Chinese tea, Chinese tea with lemon and Indian tea with and without theine). The discrimination of solid green tea according to its geographical origin (Chinese, Indian and Japanese) was also carried out through PCA. In addition, the discrimination between the most expensive Japanese tea and the cheapest one was possible. The sensitivity of the models built with SIMCA was 100% and the specificity of the models for the Chinese tea with respect to the Japanese tea was also high. |
Databáze: | OpenAIRE |
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