Identification of Counterfeit Alcoholic Beverages Using Cluster Analysis in Principal-Component Space

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 wit...

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Veröffentlicht in:	Journal of applied spectroscopy 2017-07, Vol.84 (3), p.517-520
Hauptverfasser:	Khodasevich, M. A., Sinitsyn, G. V., Gres’ko, M. A., Dolya, V. M., Rogovaya, M. V., Kazberuk, A. V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical Chemistry Atomic/Molecular Structure and Spectra Beverages Cluster analysis Clusters Counterfeit Counterfeiting Multivariate analysis Physics Physics and Astronomy Product counterfeiting Ultraviolet-visible spectroscopy Vodka
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	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.
ISSN:	0021-9037 1573-8647
DOI:	10.1007/s10812-017-0503-6