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

• NCJ Number: 305900
• Journal: Chemosensors Volume: 11 Issue: 1 Dated: December 2022
• Author(s): Shelby R. Khandasammy; Nathan R. Bartlett; Lenka Halamkova; Igor K. Lednev
• Date Published: December 2022
• Length: 13 pages
• Grant Number(s): 15PNIJ-21-GG-04153-RESS; 2019-R2-CX-0035
• Sponsoring Agency: National Institute of Justice (NIJ)
• Corporate Author: Research Foundation of SUNY, University at Albany
• Publication Format: Article
• Publication Type: Research (Applied/Empirical)
• Language: English
• Country: United States of America
• Note: Article appears in Chemosensors (December 2022) Vol. 11, No. 1.

Annotation

In this study, Raman spectroscopy and chemometric modeling were used to analyze smokeless powder extracted from ammunition cartridge cases.

Abstract

The proposed hierarchical model demonstrated great potential for determining the manufacturer 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. Raman spectroscopy is a vibrational spectroscopic technique that is fast emerging as an important analytical method in the field of forensic science. In recent years, Raman spectroscopy has proven advantageous for the investigation of a wide variety of forensic evidence types. (Publisher abstract provided)

 

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