IDENTIFICATION OF COUNTERFEIT ALCOHOLIC BEVERAGES USING CLUSTER ANALYSIS IN PRINCIPAL-COMPONENT SPACE

被引：4
|
作者：
Khodasevich, M. A. [1 ]
Sinitsyn, G. V. [1 ]
Gres'ko, M. A. [2 ]
Dolya, V. M. [2 ]
Rogovaya, M. V. [1 ]
Kazberuk, A. V. [1 ]
机构：
[1] Natl Acad Sci Belarus, BI Stepanov Inst Phys, 68 Nezavisimost Ave, Minsk 220072, BELARUS
[2] BIOSAN Alkos Ltd, Moscow, Russia
来源：
JOURNAL OF APPLIED SPECTROSCOPY | 2017年 / 84卷 / 03期
关键词：
UV-Vis spectroscopy; principal component analysis; cluster analysis; NEAR-INFRARED SPECTROSCOPY; PARTIAL LEAST-SQUARES;
D O I：
10.1007/s10812-017-0503-6
中图分类号：
O433 [光谱学];
学科分类号：
0703 ; 070302 ;
摘要：
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.
引用
收藏
页码：517 / 520
页数：4
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