Short wave infrared chemical imaging as future tool for analysing gunshot residues patterns in targets
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/48167DOI: 10.1016/j.talanta.2017.02.020
ISSN: 0039-9140
Date
2017-05-15Academic Departments
Universidad de Alcalá. Departamento de Química Analítica, Química Física e Ingeniería Química
Teaching unit
Unidad docente Química Analítica e Ingeniería Quimica
Funders
Ministerio de Economía y Competitividad
Bibliographic citation
Talanta, 2017, v. 167, p. 227-235
Keywords
Gunshot residues
Ammunitions
Chemical image
Hyperspectral image analysis
Classical Least Squares
Matlab.
Project
info:eu-repo/grantAgreement/MINECO//CTQ2014-58688-R/ES/Desarrollo de una herramienta hiperespectral forense para un análisis completo de residuos de disparo en la diana
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© Elsevier, 2017
Access rights
info:eu-repo/semantics/openAccess
Abstract
This work used chemical imaging in the short-wave infrared region for analysing gunshot residues (GSR) patterns in cotton fabric targets shot with conventional and non-toxic ammunition. It presents a non-destructive, non-toxic, highly visual and hiperspectral-based approach. The method was based on classical least squares regression, and was tested with the ammunition propellants and their standard components' spectra. The propellants' spectra were satisfactorily used (R2 >0.966, and CorrCoef >0.982) for identifying the GSR irrespective of the type of ammunition used for the shooting. In a more versatile approach, nitrocellulose, the main component in the ammunition propellants, resulted an excellent standard for identifying GSR patterns (R2>0.842, and CorrCoef >0.908). In this case, the propellants' stabilizers (diphenilamine and centralite), and its nitrated derivatives as well as dinitrotoluene, showed also high spectral activity. Therefore, they could be recommended as complementary standards for confirming the GSR identification. These findings establish the proof of concept for a science-based evidence useful to support expert reports and final court rulings. This approach for obtaining GSR patterns can be an excellent alternative to the current and traditional chemical methods, which are based in presumptive and invasive colour tests.
Files in this item
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| Short_Ortega_Talanta_2017.pdf | 1.562Mb |
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| Short_Ortega_Talanta_2017.pdf | 1.562Mb |
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