Review of the most common chemometric techniques in illicit drug profiling

Ana Popovic; Marie Morelato; Claude Roux; Alison Beavis

doi:10.1016/j.forsciint.2019.109911

Review of the most common chemometric techniques in illicit drug profiling

Forensic Sci Int. 2019 Sep:302:109911. doi: 10.1016/j.forsciint.2019.109911. Epub 2019 Aug 1.

Authors

Ana Popovic¹, Marie Morelato¹, Claude Roux¹, Alison Beavis²

Affiliations

¹ Centre for Forensic Science, University of Technology Sydney, P.O. Box 123 Broadway NSW 2007 Australia.
² 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.

PMID: 31563026
DOI: 10.1016/j.forsciint.2019.109911

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.

Keywords: Comparison metrics; Forensic intelligence; Pattern recognition.

Publication types

Review