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ENFSI proficiency test program on identification of GSR by SEM/EDX
L Niewoehner1, H W Wenz, J Andrasko
1Forensic Science Institute of the Bundeskriminalamt, BKA, D-65173 Wiesbaden, Germany. ludwig.niewoehner@bka.bund.de
Journal of Forensic Sciences
|July 25, 2003
Summary
This study evaluated the detection and identification of gunshot residue (GSR) particles using scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM/EDX). Proficiency testing revealed variations in laboratory methods for identifying lead, antimony, and barium (PbSbBa) containing particles.
Area of Science:
- Forensic Science
- Analytical Chemistry
- Materials Science
Background:
- Proficiency testing is crucial for ensuring accuracy in forensic analysis.
- Standardized methods for gunshot residue (GSR) detection are vital for reliable casework.
- Scanning Electron Microscopy with Energy-Dispersive X-ray Spectroscopy (SEM/EDX) is a primary technique for GSR analysis.
Purpose of the Study:
- To assess the performance of laboratories in detecting and identifying GSR particles using SEM/EDX.
- To evaluate the effectiveness of automated GSR particle search and detection methods.
- To identify potential systematic errors in GSR analysis through a split-level proficiency study.
Main Methods:
- Organized a proficiency test under the ENFSI Expert Working Group "Firearms."
- Utilized test materials with synthetic GSR particles (PbSbBa-containing) and environmental contaminants.
- Participating laboratories applied their own automated SEM/EDX methods for particle detection.
Main Results:
- Summarized and statistically evaluated the results from participating laboratories.
- Compared findings with previous proficiency studies on GSR analysis.
- Identified variations in the determination of PbSbBa-containing particles.
Conclusions:
- Proficiency testing highlights the need for method harmonization in GSR analysis.
- Variability in results suggests areas for improvement in automated SEM/EDX protocols.
- Further studies are recommended to refine GSR detection and identification techniques.