Titre
Drug intelligence based on MDMA tablets data : (1) Organic impurities profiling.
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Weyermann, C.
Auteure/Auteur
Marquis, R.
Auteure/Auteur
Delaporte, C.
Auteure/Auteur
Esseiva, P.
Auteure/Auteur
Dujourdy, L.
Auteure/Auteur
Lock, E.
Auteure/Auteur
Aalberg, L.
Auteure/Auteur
Dieckmann, S.
Auteure/Auteur
Zrcek, F.
Auteure/Auteur
Bosenko, J.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
Statut éditorial
Publié
Date de publication
2008
Volume
177
Numéro
1
Première page
11
Dernière page/numéro d’article
16
Peer-reviewed
Oui
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.
PID Serval
serval:BIB_841C6ECBFD1E
Date de création
2008-02-20T09:01:45.946Z
Date de création dans IRIS
2025-05-21T03:15:27Z