期刊
ANALYTICA CHIMICA ACTA
卷 613, 期 2, 页码 207-217出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.aca.2008.02.063
关键词
tyrosine; fluorescence; beer; riboflavin; total luminescence; tryptophan; phenylalanine
The study demonstrates an application of the front-face fluorescence spectroscopy combined with multivariate regression methods to the analysis of fluorescent beer components. Partial least-squares regressions (PLS1, PLS2, and N-way PLS) were utilized to develop calibration models between synchronous fluorescence spectra and excitation-emission matrices of beers, on one hand, and analytical concentrations of riboflavin and aromatic amino acids, on the other hand. The best results were obtained in the analysis of excitation-emission matrices using the N-way PLS2 method. The respective correlation coefficients, and the values of the root mean-square error of cross-validation (RMSECV), expressed as percentages of the respective mean analytic concentrations, were: 0.963 and 14% for riboflavin, 0.974 and 4% for tryptophan, 0.980 and 4% for tyrosine, and 0.982 and 19% for phenylalanine. (C) 2008 Elsevier B.V. All rights reserved.
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