Citation

Popovic A, Morelato M, Roux C, Beavis A. Forensic Sci. Int. 2019; 302: e109911.

Affiliation

Centre for Forensic Science, University of Technology Sydney, P.O. Box 123 Broadway NSW 2007 Australia; Faculty of Transdisciplinary Innovation, University of Technology Sydney, P.O. Box 123 Broadway NSW 2007 Australia. Electronic address: Alison.Beavis@uts.edu.au.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.forsciint.2019.109911

PMID

31563026

Abstract

The information generated through drug profiling can be used to infer a common source between one or several seizures as well as drug trafficking routes to provide insights into drug markets. Although well established, it is time-consuming and ineffective to compare all drug profiles manually. In recent years, there has been a push to automate processes to enable a more efficient comparison of illicit drug specimens. Various chemometric methods have been employed to compare and interpret forensic case data promptly. The intelligence that is produced can be used by decision-makers to disrupt or reduce the impact of illicit drug markets. This review highlights the most common chemometric techniques used in drug profiling and more specifically, the most efficient comparison metrics and pattern recognition techniques outlined in the literature.

Copyright © 2019 Elsevier B.V. All rights reserved.

Language: en

Keywords

Comparison metrics; Forensic intelligence; Pattern recognition