- Research Article
4
- 10.1007/s10812-017-0503-6
Identification of Counterfeit Alcoholic Beverages Using Cluster Analysis in Principal-Component Space
- Jul 01, 2017
- Journal of Applied Spectroscopy
- M A Khodasevich + 5 more +5
A study of 153 brands of commercial vodka products showed that counterfeit samples could be identified by introducing a unified additive at the minimum concentration acceptable for instrumental detection and multivariate analysis of UV-Vis transmission spectra. Counterfeit products were detected with 100% probability by using hierarchical cluster analysis or the C-means method in two-dimensional principal-component space.
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