IDENTIFICATION OF COUNTERFEIT ALCOHOLIC BEVERAGES USING CLUSTER ANALYSIS IN THE SPACE OF THE PRINCIPAL COMPONENTS OF THE OPTICAL TRANSMISSION SPECTRA
Abstract
Based on a study of 153 kinds of commercial vodka products, the possibility of identifying counterfeit samples is shown by introducing a unified additive with the concentration that is minimum acceptable for the instrumental detection and multivariate analysis of UV-Vis transmission spectra. The 100% probability of detection of counterfeit products is achieved through the use of hierarchical clustering analysis or C-means method in two-dimensional space of principal components.
About the Authors
M. A. Khodasevich
B. I. Stepanov Institute of Physics, National Academy of Sciences of Belarus
Russian Federation
Russian Federation
G. V. Sinitsyn
B. I. Stepanov Institute of Physics, National Academy of Sciences of Belarus
Russian Federation
Russian Federation
M. A. Gresko
“BIOSAN-Alkos” Ltd
Russian Federation
Russian Federation
V. M. Dolya
“BIOSAN-Alkos” Ltd
Russian Federation
Russian Federation
M. V. Rogovaya
B. I. Stepanov Institute of Physics, National Academy of Sciences of Belarus
Russian Federation
Russian Federation
A. V. Kazberuk
B. I. Stepanov Institute of Physics, National Academy of Sciences of Belarus
Russian Federation
Russian Federation
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Review
For citations:
Khodasevich M.A., Sinitsyn G.V., Gresko M.A., Dolya V.M., Rogovaya M.V., Kazberuk A.V. IDENTIFICATION OF COUNTERFEIT ALCOHOLIC BEVERAGES USING CLUSTER ANALYSIS IN THE SPACE OF THE PRINCIPAL COMPONENTS OF THE OPTICAL TRANSMISSION SPECTRA. Zhurnal Prikladnoii Spektroskopii. 2017;84(3):504-507. (In Russ.)
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