Analysis of Powders Containing Illicit Drugs Using Magnetic Levitation.

Magneto-Archimedes levitation (MagLev) enables the separation of powdered mixtures of illicit drugs (cocaine, methamphetamine, heroin, fentanyl, and its analogues), adulterants, and diluents based on density, and allows the presumptive identification of individual components. Small samples (mass <50 mg), with low concentrations of illicit drugs, present a particular challenge to analysis for forensic chemists. The MagLev device, a cuvette containing a solution of paramagnetic gadolinium(III) chelate in a non-polar solvent, placed between two like-poles-facing NdFeB magnets, allowed separation of seven relevant compounds simultaneously. In particular, initial separation with MagLev, followed by characterization by FTIR-ATR, enabled identification of fentanyl in a sample of fentanyl-laced heroin (1.3 wt % fentanyl, 2.6 wt % heroin, and 96.1 wt % lactose). MagLev allows identification of unknown powders in mixtures and enables confirmatory identification based on structure-specific techniques.

Profiling of illicit fentanyl using UHPLC-MS/MS.

Methodology is presented for the profiling of fentanyl in seized drugs using ultra high performance liquid chromatography in combination with tandem mass spectrometry (UHPLC-MS/MS). Target analysis was performed for 40 fentanyl processing impurities, several of which are markers for a specific synthetic route (Siegfried or Janssen). For the separation of these solutes, an Acquity BEH C18 1.7 µm particle column (150 mm × 2.1 mm) with a binary 1% formic acid (pH 2.0)/acetonitrile gradient was used. For MS/MS detection, an atmospheric pressure positive electrospray source was employed with selected reaction monitoring (SRM). The coupling of the high separation power of UHPLC with the highly selective and sensitive detection of MS/MS is amenable to the determination of synthetic route and linking of drug seizures. The technology is also applicable to exhibits containing trace levels of fentanyl in the presence of significantly excess amounts of heroin and/or adulterants.

Drug intelligence based on MDMA tablets data: 2. Physical characteristics profiling.

One of the tasks of the European project entitled "Collaborative Harmonisation of Methods for Profiling of Amphetamine Type Stimulants" (CHAMP) funded by the sixth framework programme of the European Commission was to develop a harmonised methodology for MDMA profiling and the creation of a common database in a drug intelligence perspective. Part I was dedicated to the analysis of organic impurities formed during synthesis in order to investigate traffic tendencies and highlight potential links between samples, whereas this part focuses on physical characteristics of the MDMA tablets. Diameter, thickness, weight and score were demonstrated to be reliable and relevant features in this drug intelligence perspective. Distributions of samples coming from the same post-tabletting batch (post-TB) and samples coming from different post-TB were very well discriminated by using the squared Euclidean or the Manhattan distance on standardised data. Our findings demonstrated the possibility to discriminate between MDMA samples issued from different post-TB and to find out links between samples coming from a same post-TB. Furthermore, the hypothesis that most of the MDMA samples found on the international market come from the same countries was supported.

Drug intelligence based on MDMA tablets data I. Organic impurities profiling.

The main objectives of the European project "Collaborative Harmonization of Methods for Profiling of Amphetamine Type Stimulants" (CHAMP) funded by the sixth framework programme of the European Commission, included the harmonization of MDMA profiling methods and the creation of a common database in a drug intelligence perspective. In the preliminary stages of this project, the participating laboratories analysed the physical characteristics, the chemical composition and the organic impurities of MDMA tablets, using the previously harmonized methods. The aim of the present work was to apply statistical treatments to the recorded data in order to evaluate their potential in the fight against drug trafficking. Comparable working procedures were applied on the different types of data. The first part of this article deals with organic impurities data, while the second part focuses on the potential of the physical characteristics. Organic impurities data were recorded by a harmonized Gas Chromatography/Mass Spectrometry (GC/MS) method previously developed. Statistical analysis provided a selection of pertinent variables among the 46 organic impurities identified in the chromatograms. Correlation coefficients were used to yield separation between populations of samples coming from the same synthesis batch and samples coming from different batches. It was shown that correlation measurements based on Pearson and cosine functions applied to the data pre-treated by normalisation to the sum of peak responses followed by the square root provided an excellent discrimination between the two populations. The statistical methods applied to organic impurities profiles proved to be excellent techniques to differentiate samples from different batches and to highlight operational links between samples.