Short wave infrared chemical imaging as future tool for analysing gunshot residues patterns in targets
Identificadores
Enlace permanente (URI): http://hdl.handle.net/10017/48167DOI: 10.1016/j.talanta.2017.02.020
ISSN: 0039-9140
Fecha de publicación
2017-05-15Filiación
Universidad de Alcalá. Departamento de Química Analítica, Química Física e Ingeniería QuímicaPatrocinadores
Ministerio de Economía y Competitividad (MINECO)
Cita bibliográfica
Talanta, 2017, v. 167, p. 227-235
Palabras clave
Gunshot residues
Ammunitions
Chemical image
Hyperspectral image analysis
Classical Least Squares
Matlab.
Proyectos
info:eu-repo/grantAgreement/MINECO//CTQ2014-58688-R/ES/DESARROLLO DE UNA HERRAMIENTA HIPERESPECTRAL FORENSE PARA UN ANALISIS COMPLETO DE RESIDUOS DE DISPARO EN LA DIANA/
Tipo de documento
info:eu-repo/semantics/article
Versión
info:eu-repo/semantics/publishedVersion
Derechos
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© Elsevier, 2017
Derechos de acceso
info:eu-repo/semantics/openAccess
Resumen
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.
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