Hierarchical Modelling of Raman Spectroscopic Data Demonstrates the Potential for Manufacturer and Caliber Differentiation of Smokeless Powders
| Autor: | Shelby R. Khandasammy, Nathan R. Bartlett, Lenka Halámková, Igor K. Lednev |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Chemosensors, Vol 11, Iss 1, p 11 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2227-9040 26774577 |
| DOI: | 10.3390/chemosensors11010011 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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