4.5 Article

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

Journal

FORENSIC SCIENCE INTERNATIONAL
Volume 177, Issue 2-3, Pages 199-206

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.forsciint.2007.12.008

Keywords

cocaine; drug profiling; inter-laboratory comparison; ROC curve; pre-treatments; Cosine and Pearson correlation; statistics

Ask authors/readers for more resources

Harmonisation and optimization of analytical and statistical methodologies were carried out between two forensic laboratories (Lausanne, Switzerland and Lyon, France) in order to provide drug intelligence for cross-border cocaine seizures. Part I dealt with the optimization of the analytical method and its robustness. This second part investigates statistical methodologies that will provide reliable comparison of cocaine seizures analysed on two different gas chromatographs interfaced with a flame ionisation detectors (GC-FIDs) in two distinct laboratories. Sixty-six statistical combinations (ten data pre-treatments followed by six different distance measurements and correlation coefficients) were applied. One pre-treatment (N + S: area of each peak is divided by its standard deviation calculated from the whole data set) followed by the Cosine or Pearson correlation coefficients were found to be the best statistical compromise for optimal discrimination of linked and non-linked samples. The centralisation of the analyses in one single laboratory is not a required condition anymore to compare samples seized in different countries. This allows collaboration, but also, jurisdictional control over data. (C) 2008 Elsevier Ireland Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available