Cocaine classification using alkaloid and residual solvent profiling.

Many different groups of chemical compounds can be used in statistical impurity-profile comparison in order to establish links between different seizures of illicit drugs. For cocaine, some of these compounds descent directly from the coca leaf while others are remnants from the manufacturing process; and each of the compound groups exhibit different degrees of stability and discrimination power. Information obtained from the different groups can be handled in numerous ways and selecting the right method using a balanced combination of the compound groups is highly important in order to provide investigators and courtrooms with accurate conclusions. By using logistic regression or discriminant analysis (linear and quadratic), cocaine alkaloid and residual solvent distances can be combined in order to obtain probabilities for the two possibilities: linked or unlinked. We examined different data transformations and distance methods and ranked the different models using cross validation. Validation in an unrelated data set proved the consistency of the results. Data consisted of five large groups of linked samples exposed to different storage conditions during 12 months, 124 different cocaine sample seizures and 15 smaller groups of linked samples stored at room temperature for up to 15 months. The alkaloid and residual solvent impurity profiles of the samples were analysed using gas chromatography-mass spectrometry (GC-MS) and headspace GC-MS, respectively. Residual solvent profiles exhibited considerable higher discrimination power than cocaine alkaloid profiles. Thus, a residual-solvent-weighted model (log10 transformation and cosine distance) was found superior at distinguishing correctly between linked and unlinked seizures compared to models using alkaloid distance alone. The model only gives weight to the residual solvents when the alkaloid profiles are very similar. This finding demonstrates the possibility to combine information from the highly stable, non-coca leaf-descent residual solvent profiles and the less stable cocaine alkaloid profiles for statistical comparative analysis of cocaine seizures in a simple and easy-to-implement way.

[1]  Kathrine E. Janzen,et al.  A database for comparison analysis of illicit cocaine samples , 1994 .

[2]  Claude Roux,et al.  The use of methylamphetamine chemical profiling in an intelligence-led perspective and the observation of inhomogeneity within seizures. , 2015, Forensic science international.

[3]  Benjamin Debrus,et al.  Study of common database feeding with results coming from different analytical methods in the framework of illicit drugs chemical profiling. , 2013, Forensic science international.

[4]  A. Moreda-Piñeiro,et al.  Gas chromatographic-mass spectrometric analysis of residual solvent trapped into illicit cocaine exhibits using head-space solid-phase microextraction. , 2002, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

[5]  R. F. Klein,et al.  Illicit Production of Cocaine. , 1993, Forensic science review.

[6]  P. Villesen,et al.  Stability of cocaine impurity profiles during 12 months of storage. , 2016, Forensic science international.

[7]  F Taroni,et al.  A methodology for illicit heroin seizures comparison in a drug intelligence perspective using large databases. , 2003, Forensic science international.

[8]  Alex Biedermann,et al.  Forensic drug intelligence: an important tool in law enforcement. , 2007, Forensic science international.

[9]  Klein Rf,et al.  Illicit Production of Cocaine. , 1993 .

[10]  Claude Roux,et al.  The use of organic and inorganic impurities found in MDMA police seizures in a drug intelligence perspective. , 2014, Science & justice : journal of the Forensic Science Society.

[11]  Julian Broséus,et al.  Chemical profiling: A tool to decipher the structure and organisation of illicit drug markets: An 8-year study in Western Switzerland. , 2016, Forensic science international.

[12]  Laurence Dujourdy,et al.  Development of a harmonised method for the profiling of amphetamines VI: Evaluation of methods for comparison of amphetamine. , 2007, Forensic science international.

[13]  Maria Monfreda,et al.  Fast profiling of cocaine seizures by FTIR spectroscopy and GC-MS analysis of minor alkaloids and residual solvents. , 2015, Science & justice : journal of the Forensic Science Society.

[14]  Julian Broséus,et al.  First systematic chemical profiling of cocaine police seizures in Finland in the framework of an intelligence-led approach. , 2015, Forensic science international.

[15]  Andrzej Parczewski,et al.  Application of chemometric methods in searching for illicit Leuckart amphetamine sources , 2001 .

[16]  Pierre Esseiva,et al.  Illicit drug profiling, reflection on statistical comparisons. , 2011, Forensic science international.

[17]  S. Klemenc,et al.  In common batch searching of illicit heroin samples--evaluation of data by chemometrics methods. , 2001, Forensic science international.

[18]  S Lociciro,et al.  Cocaine profiling for strategic intelligence, a cross-border project between France and Switzerland: part II. Validation of the statistical methodology for the profiling of cocaine. , 2008, Forensic Science International.