DOAJ Open Access 2022

Hierarchical Modelling of Raman Spectroscopic Data Demonstrates the Potential for Manufacturer and Caliber Differentiation of Smokeless Powders

Shelby R. Khandasammy Nathan R. Bartlett Lenka Halámková Igor K. Lednev

Abstrak

Gunshot residue (GSR) is an important type of forensic trace evidence produced when a firearm is discharged. Currently, inorganic GSR particles are used for establishing the fact of shooting. The organic gunshot residue (OGSR) has been recently shown to have great potential for providing additional information vital for the crime scene investigation. Smokeless powder is the precursor to OGSR and one of its chemical components. In this study, Raman spectroscopy and chemometric modeling were used to analyze smokeless powder extracted from ammunition cartridge cases. The proposed hierarchical model demonstrated great potential for determining the manufacture and the bullet type based on the analysis of smokeless powder. Expanding the developed approach to the analysis of OGSR will be needed to make it a useful tool for law enforcement agencies.

Topik & Kata Kunci

Penulis (4)

S

Shelby R. Khandasammy

N

Nathan R. Bartlett

L

Lenka Halámková

I

Igor K. Lednev

Format Sitasi

Khandasammy, S.R., Bartlett, N.R., Halámková, L., Lednev, I.K. (2022). Hierarchical Modelling of Raman Spectroscopic Data Demonstrates the Potential for Manufacturer and Caliber Differentiation of Smokeless Powders. https://doi.org/10.3390/chemosensors11010011

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Informasi Jurnal
Tahun Terbit
2022
Sumber Database
DOAJ
DOI
10.3390/chemosensors11010011
Akses
Open Access ✓