Application of NIR spectroscopy and chemometrics for revealing of the 'high quality fakes' among the medicines

被引:29
作者
Rodionova, O. Ye. [1 ,2 ]
Balyklova, K. S. [1 ,3 ]
Titova, A. V. [1 ,4 ]
Pomerantsev, A. L. [2 ,5 ]
机构
[1] Informat & Methodol Ctr Expertise, Stocktaking & Anal Circulat Med Prod, Slavyanskay Sq 4-1, Moscow 109074, Russia
[2] RAS, NN Semenov Inst Chem Phys, Kosygin 4, Moscow 119991, Russia
[3] IM Sechenov First Moscow State Med Univ, 2-4 Bolshaya Pirogovskaya Str 2-4, Moscow 119991, Russia
[4] Pirogov Russian Natl Res Med Univ, Ostrovityanov Str 1, Moscow 117997, Russia
[5] RAS, Inst Nat & Tech Syst, Kurortny Pr 99-18, Soci 354024, Russia
关键词
Substandard and falsified medical products; NIR spectroscopy; 'High-quality' fakes; Pattern recognition; NEAR-INFRARED SPECTROSCOPY; CLASSIFICATION;
D O I
10.1016/j.forc.2018.02.004
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Counterfeit medicines of 'high quality' are the most difficult to detect as they have the same chemical composition as the genuine ones, but they are produced by underground manufacturers who violate technological regulations. Our approach is to consider a remedy as a whole object, taking into account the complex composition of APIs, excipients and manufacturing conditions. For rapid testing, the Near Infrared (NIR)-based approach is applied. It entails the acquisition of NIR spectra and processing of the collected data using a modern one-class classifier method called data driven soft independent modeling by class analogy (DD-SIMCA). We present an exemplary analysis of the suspected drugs, which have the same designation and a very similar chemical composition to the brand of a widely used medication used to treat allergies. We recognized the counterfeits using a model that had been previously developed and stored in a library for everyday monitoring in drugstores. We also describe the steps taken in development and validation of DD-SIMCA library models. In the case under consideration, the NIR-based analysis reveals 100% of counterfeits, and this result surpasses the results of the routine compedial tests. Additionally, we present a new instrument, VisCam, that is used in visual analysis of the primary and secondary packages. This instrument combines a tenfold web-camera with different light sources. It is shown that VisCam helps to reveal hidden violations in the primary and secondary packages. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:82 / 89
页数:8
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