Survey of gunshot residue prevalence on the hands of individuals from various population groups in and outside Europe

Amalía Stamouli · Ludwig Niewöhner · Magnus Larsson · Bertrand Colson · Steffen Uhlig · Lubor Fojtášek +2 more

39 citations0/0 files storedForensic Chemistry

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Forensic Fingerprint Detection Methods Forensic and Genetic Research Gun Ownership and Violence Research

Abstract

This paper presents the results of a study which was conducted by 32 participating forensic laboratories, mainly from Europe. In this EU-funded study the prevalence of the most common types of Gunshot Residue (GSR) particles was investigated in various subpopulations. Specimens were collected from the hands of more than 1300 persons using carbon stubs. Subsequently the stubs were analysed for the presence of PbBaSb particles using scanning electron microscopy coupled to energy dispersive X-ray analysis (SEM/EDS). An in-depth statistical evaluation of the obtained results was performed to estimate the prevalence of gunshot residue in specific sub-groups as well as in the general population. A customized logit model was applied on the present data set in order to identify important population characteristics and differences between the various subgroups. The observed variability of the results due to laboratory, country and sample effects was found to be significant indicating that these parameters should be taken into account in the interpretation of the results in casework.

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References

2001Identification of gunshot residue: a critical review 1999Gunshot residue 2014On the prevalence of gunshot residue in selected populations – An empirical study performed with SEM-EDX analysis 2011A study of the potential risk of gunshot residue transfer from special units of the police to arrested suspects 1995Officers, Their Weapons and Their Hands: An Empirical Study of GSR on the Hands of Non-Shooting Police Officers

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2022Interpol Review of Gunshot Residue 2019 to 2021 2024Integrating Chromophoric and Instrumental Methods (SEM-EDS and FTIR) for Accurate Shooting Distance Estimation: An Inter-laboratory Study in Forensic Chemistry 2022Objectifying evidence evaluation for gunshot residue comparisons using machine learning on criminal case data

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