Simultaneous analysis of riboflavin and aromatic amino acids in beer using fluorescence and multivariate calibration methods.
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.
Sikorska
Ewa
E
Faculty of Commodity Science, The Poznań University of Economics, al. Niepodległości 10, 60-967 Poznań, Poland. ewa.sikorska@ae.poznan.pl
Gliszczyńska-Swigło
Anna
A
Insińska-Rak
Małgorzata
M
Khmelinskii
Igor
I
De Keukeleire
Denis
D
Sikorski
Marek
M
D024322:Amino Acids, Aromatic / Q000032:analysis*; D001515:Beer / Q000032:analysis*; D002138:Calibration; D002851:Chromatography, High Pressure Liquid; D015999:Multivariate Analysis; D012256:Riboflavin / Q000032:analysis*; D013050:Spectrometry, Fluorescence / Q000379:methods*
D024322:Amino Acids, Aromatic; D012256:Riboflavin