Total Luminescence Spectroscopy for Differentiating Between Brandies and Wine Distillates

Tothova J., Sadecka J., Majek P . (2007): Total luminescence spectroscopy for differentiating between brandies and wine distillates . Czech J. Food Sci., 27: 425-432. In this study, the differentiation was investigated between brandy and wine distillate samples by fluorescence spectros - copy in combination with multivariate analysis. The samples corresponding to eight brandies from three producers and sixteen wine distillates from five producers were acquired in the local supermarkets. Total luminescence spectra of diluted and undiluted samples were recorded. In order to extract reliable information from the data sets, two multi - variate analysis methods, Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), were applied separately on the excitation and emission spectra. The best differentiation was achieved using the emission spectra (400-470 nm) recorded at the excitation wavelength of 340 nm, or the excitation spectra (240-380 nm) recorded at the emission wavelength of 450 nm. The similarity map defined by the PC1 and PC2 of the PCA performed on the excitation spectra accounted for 94.9% of the total variance (PC1 90.3%, PC2 4.6%) and allowed a good discrimination between the beverages. Although the PCA similarity map defined by the PC1 (84.2%) and PC2 (13.0%) performed on the emission spectra did not lead to a clear discrimination between the beverages, a general trend pointing out the brandies and wine distillates was observed on the map. HCA performed on the excitation spectra provided a better differentiation between the two classes, without any classification error, while HCA performed on the emission spectra allowed 95.8% correct classification.

[1]  Howard Mark,et al.  Chemometrics in Spectroscopy , 2007 .

[2]  R. Poppi,et al.  Determination of alcohol content in beverages using short-wave near-infrared spectroscopy and temperature correction by transfer calibration procedures , 2003, Analytical and bioanalytical chemistry.

[3]  M. Palma,et al.  Application of FT-IR spectroscopy to the characterisation and classification of wines, brandies and other distilled drinks. , 2002, Talanta.

[4]  J. Mosedale,et al.  Wood maturation of distilled beverages , 1998 .

[5]  Ricard Boqué,et al.  Application of non-negative matrix factorization combined with Fisher's linear discriminant analysis for classification of olive oil excitation-emission fluorescence spectra , 2006 .

[6]  S. Ruth,et al.  An overview of analytical methods for determining the geographical origin of food products , 2008 .

[7]  Márcio José Coelho Pontes,et al.  Classification of distilled alcoholic beverages and verification of adulteration by near infrared spectrometry , 2006 .

[8]  Josse De Baerdemaeker,et al.  A review of the analytical methods coupled with chemometric tools for the determination of the quality and identity of dairy products , 2007 .

[9]  I. Khmelinskii,et al.  Simultaneous analysis of riboflavin and aromatic amino acids in beer using fluorescence and multivariate calibration methods. , 2008, Analytica chimica acta.

[10]  D. Massart Chemometrics: A Textbook , 1988 .

[11]  Elke Richling,et al.  Multivariate analysis of FTIR and ion chromatographic data for the quality control of tequila. , 2005, Journal of agricultural and food chemistry.

[12]  Dirk W. Lachenmeier,et al.  Rapid quality control of spirit drinks and beer using multivariate data analysis of Fourier transform infrared spectra , 2007 .

[14]  Bart De Ketelaere,et al.  Methods to evaluate egg freshness in research and industry: A review , 2006 .

[15]  Moon S. Kim,et al.  Fluorescence Characteristics of Wholesome and Unwholesome Chicken Carcasses , 2006, Applied spectroscopy.

[16]  Potential of front face fluorescence associated to PLS regression to predict nutritional parameters in heat treated infant formula models. , 2008, Analytica chimica acta.