An application example of the likelihood ratio approach to the evaluation of organic gunshot residues using a fictional scenario and recently published data.


Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 04 01 2022
revised: 02 03 2022
accepted: 04 03 2022
pubmed: 28 3 2022
medline: 25 5 2022
entrez: 27 3 2022
Statut: ppublish

Résumé

The analysis of gunshot residues (GSR) can provide important information with regard to the involvement of a person of interest (POI) in a firearm-related incident. Organic gunshot residues (OGSR) have been investigated in order to provide additional and complementary information to the traditional inorganic gunshot residue (IGSR) particles detected by scanning electron microscopy (SEM). Currently, many procedures and analytical methods have been developed to detect OGSR-related compounds collected from the shooter's hands. However, such studies provide no information regarding the inclusion of such results in an activity level evaluation for discharging a firearm. The aim of this article is to assess the feasibility of using the likelihood ratio (LR) approach as a tool to evaluate OGSR results for activity level propositions. The developed model focuses on the assignment of an LR for several compounds detected in OGSR. A simple worst-case simulation was investigated in order to assess the applicability of the LR approach to evaluate OGSR traces. This simulation highlighted the importance of addressing an appropriate pair of activity level propositions when evaluating the results.

Identifiants

pubmed: 35339946
pii: S0379-0738(22)00097-4
doi: 10.1016/j.forsciint.2022.111267
pii:
doi:

Substances chimiques

Organic Chemicals 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111267

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declarations of interest None.

Auteurs

Matthieu Maitre (M)

Centre for Forensic Science, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia.

Mark Horder (M)

NSW Police Force, Goulburn St, Surry Hills, NSW 2010, Australia.

K Paul Kirkbride (KP)

School of Chemical and Physical Sciences, Flinders University, GPO Box 2100, Adelaide, SA 5001, Australia.

Anne-Laure Gassner (AL)

School of Criminal Justice, University of Lausanne, Batochime, 1015 Lausanne, Switzerland.

Céline Weyermann (C)

School of Criminal Justice, University of Lausanne, Batochime, 1015 Lausanne, Switzerland.

Anjali Gupta (A)

Centre for Forensic Science, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia.

Alison Beavis (A)

Centre for Forensic Science, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia; Faculty of Science, UNSW Sydney, Kensington, NSW 2052, Australia.

Claude Roux (C)

Centre for Forensic Science, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia. Electronic address: claude.roux@uts.edu.au.

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Classifications MeSH