Drug intelligence based on MDMA tablets data : (1) Organic impurities profiling.

Détails

ID Serval
serval:BIB_841C6ECBFD1E
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Drug intelligence based on MDMA tablets data : (1) Organic impurities profiling.
Périodique
Forensic Science International
Auteur(s)
Weyermann C., Marquis R., Delaporte C., Esseiva P., Dujourdy L., Lock E., Aalberg L., Dieckmann S., Zrcek F., Bosenko J.
Statut éditorial
Publié
Date de publication
2008
Peer-reviewed
Oui
Volume
177
Numéro
1
Pages
11-16
Langue
anglais
Résumé
One major objective of the European project "Collaborative Harmonisation of Methods for Profiling of Amphetamine Type Stimulants" (CHAMP) funded by the sixth framework programme of the European Commission consisted in the harmonisation of a Gas Chromatography / Mass Spectrometry (GC/MS) method for the analysis of organic impurities found in 3,4-MethyleneDioxyMethAmphetamine (MDMA) samples in a drug intelligence perspective. 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 linked samples (from the same seizure) and unlinked samples (from different seizures). It was shown that correlation measurements based on Pearson and cosine functions applied to the data pre-treated by the square root provided an excellent discrimination between the two populations. The organic impurities profiling method was proved to be an excellent technique to differentiate samples from different seizures and to highlight operational links between samples.
Création de la notice
20/02/2008 11:01
Dernière modification de la notice
03/03/2018 18:54
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