title: Study of common database feeding with results coming from different analytical methods in the framework of illicit drugs chemical profiling.
abstract: Analytical results harmonisation is investigated in this study to provide an alternative to the restrictive approach of analytical methods harmonisation which is recommended nowadays for making possible the exchange of information and then for supporting the fight against illicit drugs trafficking. Indeed, the main goal of this study is to demonstrate that a common database can be fed by a range of different analytical methods, whatever the differences in levels of analytical parameters between these latter ones. For this purpose, a methodology making possible the estimation and even the optimisation of results similarity coming from different analytical methods was then developed. In particular, the possibility to introduce chemical profiles obtained with Fast GC-FID in a GC-MS database is studied in this paper. By the use of the methodology, the similarity of results coming from different analytical methods can be objectively assessed and the utility in practice of database sharing by these methods can be evaluated, depending on profiling purposes (evidential vs. operational perspective tool). This methodology can be regarded as a relevant approach for database feeding by different analytical methods and puts in doubt the necessity to analyse all illicit drugs seizures in one single laboratory or to implement analytical methods harmonisation in each participating laboratory.
authors.affiliation: Institut de Police Scientifique, School of Criminal Sciences, University of Lausanne, Batochime, CH-1015 Lausanne, Switzerland. julian.broseus@unil.ch
authors.forename: Julian
authors.initials: J
authors.lastname: Broséus
authors.forename: Benjamin
authors.initials: B
authors.lastname: Debrus
authors.forename: Olivier
authors.initials: O
authors.lastname: Delémont
authors.forename: Serge
authors.initials: S
authors.lastname: Rudaz
authors.forename: Pierre
authors.initials: P
authors.lastname: Esseiva