Illicit Drugs and Pharmaceuticals Analysis

Popovic, A; Roux, C; Morelato, M

Illicit Drugs and Pharmaceuticals Analysis

Popovic, A Roux, C

Morelato, M

Permalink

Publisher:: Royal Society of Chemistry (RSC)
Publication Type:: Chapter
Citation:: Chemometric Methods in Forensic Science, 2024, pp. 39-64
Issue Date:: 2024-12-20

Closed Access

	Filename	Description	Size
	22941159_14684729090005671.pdf	Published version	4.42 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Popovic, A
dc.contributor.author	Roux, C https://orcid.org/0000-0003-3610-420X
dc.contributor.author	Morelato, M https://orcid.org/0000-0001-7616-0623
dc.date.accessioned	2024-08-12T04:06:22Z
dc.date.available	2024-08-12T04:06:22Z
dc.date.issued	2024-12-20
dc.identifier.citation	Chemometric Methods in Forensic Science, 2024, pp. 39-64
dc.identifier.isbn	9781839161902
dc.identifier.uri	http://hdl.handle.net/10453/180382
dc.description.abstract	Over the years, chemometrics has been increasingly proposed and used in the field of forensic science. This trend can be seen in the area of illicit drugs and pharmaceuticals. A variety of analyses (both qualitative and quantitative) are performed on illicit drugs and pharmaceuticals, leading to complex and often multi-dimensional datasets. The use of chemometrics, combined with the correct interpretation of the results, can provide additional information to aid decisions regarding crime disruption, prevention and reduction. Of particular interest in this chapter is the generation and analysis of drug profiles that often contain high-dimensional data that needs to be processed and interpreted in a systematic manner. Chemometrics can highlight patterns and trends in the data that relate to essential questions regarding classification and discrimination of specimens, for example classifying illicit drug seizures into chemical classes based on profile similarity or discriminating counterfeit pharmaceuticals from their authentic counterparts. This chapter provides a literature review of the most common chemometric methods used in drug profiling, with a particular focus on pattern recognition methods.
dc.language	en
dc.publisher	Royal Society of Chemistry (RSC)
dc.relation.ispartof	Chemometric Methods in Forensic Science
dc.relation.isbasedon	10.1039/bk9781839166099-00039
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Illicit Drugs and Pharmaceuticals Analysis
dc.type	Chapter
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Science
pubs.organisational-group	University of Technology Sydney/Strength - CFS - Centre for Forensic Science
pubs.organisational-group	University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Centre for Forensic Science (CFS)
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2024-08-12T04:06:17Z
pubs.place-of-publication	UK
pubs.publication-status	Published
dc.location	UK

Abstract:

Over the years, chemometrics has been increasingly proposed and used in the field of forensic science. This trend can be seen in the area of illicit drugs and pharmaceuticals. A variety of analyses (both qualitative and quantitative) are performed on illicit drugs and pharmaceuticals, leading to complex and often multi-dimensional datasets. The use of chemometrics, combined with the correct interpretation of the results, can provide additional information to aid decisions regarding crime disruption, prevention and reduction. Of particular interest in this chapter is the generation and analysis of drug profiles that often contain high-dimensional data that needs to be processed and interpreted in a systematic manner. Chemometrics can highlight patterns and trends in the data that relate to essential questions regarding classification and discrimination of specimens, for example classifying illicit drug seizures into chemical classes based on profile similarity or discriminating counterfeit pharmaceuticals from their authentic counterparts. This chapter provides a literature review of the most common chemometric methods used in drug profiling, with a particular focus on pattern recognition methods.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/180382