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A quantitative comparison of smokeless measurements
William A MacCrehan1, Michelle R Reardon, David L Duewer
1National Institute of Standards and Technology, Gaithersburg, MD 20899-8394, USA. William.MacCrehan@NIST.gov
Journal of Forensic Sciences
|November 29, 2002
Summary
Forensic analysis of smokeless gunpowder reveals inconsistencies in measuring propellant and stabilizer additives. Nitroglycerin measurements showed significant bias, impacting explosives investigations and munitions safety assessments.
Area of Science:
- Analytical Chemistry
- Forensic Science
- Materials Science
Background:
- Accurate quantification of propellant and stabilizer additives in smokeless gunpowder is crucial for forensic investigations and military munitions.
- The National Institute of Standards and Technology (NIST) conducted an international measurement comparison to evaluate current analytical practices.
Purpose of the Study:
- To assess the state-of-the-practice for measuring additives in smokeless gunpowder.
- To identify potential biases and uncertainties in the quantitative and qualitative determination of key components.
Main Methods:
- An international measurement comparison involving five participants reporting on two handgun reloading powders.
- Analysis of key additives including nitroglycerin (NG), ethyl centralite (EC), diphenylamine (DPA), and N-nitrosodiphenylamine (NnDPA).
- Evaluation of reported measurement uncertainties and identification of method-specific calibration biases.
Main Results:
- All five participants reported values for NG, EC, DPA, and NnDPA; some also reported stabilizer decomposition products.
- Nitroglycerin (NG) exhibited greater susceptibility to method-specific calibration biases compared to stabilizer additives.
- One participant's results were strongly biased, while the other four showed concordant measurements with relative ranges of 5-10%.
Conclusions:
- Significant variations exist in the accuracy and consistency of smokeless gunpowder additive measurements.
- Method-specific calibration biases, particularly for unstable components like NG, affect measurement reliability.
- Inconsistent reporting of measurement variance components among participants highlights a need for standardized uncertainty evaluation.