NDLI: Characterization and origin differentiation of morphine derivatives by DSC/TG and FTIR analysis using pattern recognition techniques

Content Provider	Springer Nature Link
Author	Petruševski, Gjorgji Acevska, Jelena Stefkov, Gjoshe Poceva Pavska, Ana Micovski, Igor Petkovska, Rumenka Dimitrovska, Aneta Ugarkovic, Sonja
Copyright Year	2016
Abstract	Important narcotic analgesic active pharmaceutical ingredients (APIs): morphine hydrochloride (MoH), morphine sulfate (MoS) and the starting substance for their semi-synthesis morphine base (MoB), have been characterized by thermoanalytical methods (DSC and TG/DTG) and Fourier transform infrared spectroscopy (FTIR). Additionally, a set of different pattern recognition techniques were used to reveal the differentiation features of the morphine fingerprints obtained from 28 API samples (6 MoS, 9 MoH and 13 MoB) from known origin in order to build a predictive model for authentication of samples of unknown composition. It was observed that important parameters for building pattern recognition model using thermoanalytical data are the same analytical information significant for structural characterization: melting point (observed on DSC curves) and thermal degradation point (observed on TG curves). Hierarchical cluster analysis (HCA), based on these reproducible features, allowed identification of the different MoB and MoS samples origin. However, due to the absence of the characteristic endothermic phenomenon originating from the melting of MoH samples, the required characteristic fingerprinting features were not obtained. The FTIR–ATR spectroscopy study clearly confirmed that the different morphine entities can be easily identified by their infrared signature when spectra are collected without sample preparation in order to preserve the original information about the corresponding molecular structures. However, FTIR analysis showed low discriminatory power for authenticity check of morphine and its derivatives with respect to their different origins, but proved inevitable to detect the ‘genuine’ falsification.
Starting Page	2561
Ending Page	2571
Page Count	11
File Format	PDF
ISSN	13886150
Journal	Journal of thermal analysis
Volume Number	123
Issue Number	3
e-ISSN	15882926
Language	English
Publisher	Springer Netherlands
Publisher Date	2016-01-22
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	DSC TG/DTG FTIR Morphine APIs Pattern recognition techniques Characterization Physical Chemistry Analytical Chemistry Polymer Sciences Inorganic Chemistry Measurement Science and Instrumentation
Content Type	Text
Resource Type	Article
Subject	Physical and Theoretical Chemistry Condensed Matter Physics

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