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Vibrational Spectroscopy of Organic Gunshot Residue: Comparative Statistical Analysis to Differentiate Ammunition based on its Manufacturer
Tuesday, March 09, 2021: 8:50 AM - 9:10 AM
Speaker(s)
Description
The identification of an ammunition manufacturer based on the analysis of gunshot residue (GSR) discovered at the crime scene can provide valuable forensic information for the investigation. Vibrational methods, such as photoacoustic (PAS), attenuated total reflectance Fourier transform infrared (ATR-FTIR) and Raman spectroscopy, are highly selective and nondestructive analytical techniques able to characterize the chemical composition of GSR. In this work, PAS, ATR-FTIR and Raman spectroscopy combined with chemometric methods have been utilized to classify and discriminate organic GSR based on the ammunition manufacturer. GSR was collected from cloth targets using the standard tape-lifting protocol after discharging the ammunition made by three different manufacturers (Fiocchi, Maxxtech and Remington). A supervised pattern recognition method, the soft independent modeling of class analogy (SIMCA), was used for the classification of GSR spectra. All GSR PAS and Raman spectra were correctly classified in the validation tests. The error rates for the ATR-FTIR spectra classification were 0.016 and 0.063 for the training and test sets, respectively. Our results demonstrated great potential for vibrational spectroscopy combined with advanced statistics for forensic analysis. Keywords: photoacoustic; ATR-FTIR; Raman spectroscopy; chemometrics; crime scene investigation; SIMCA. This work was supported by the Agencia Nacional de Investigación y Desarrollo (ANID) of Chile in the frame of the Associative Research Program project ACM170008, Fondecyt 1191572, ANID/FONDAP/15110019 and PhD fellowship of A. Alvarez (CONICYT 21161209). This project was supported in part by Award no. 2016-DN-BX-0166 awarded by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice (I.K.L.). The opinions, findings, and conclusions or recommendations expressed here are those of the authors and do not necessarily reflect those of the U.S.
Additional Info
Keywords: Please select up to 4 keywords ONLY:
Laser,Photoacoustic,Trace Analysis,Infrared Spectroscopy
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