Centre for Forensic Science, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia.
NSW Police Force, Goulburn St, Surry Hills, NSW 2010, Australia.
Forensic Sci Int. 2022 Jun;335:111267. doi: 10.1016/j.forsciint.2022.111267. Epub 2022 Mar 7.
The analysis of gunshot residues (GSR) can provide important information with regard to the involvement of a person of interest (POI) in a firearm-related incident. Organic gunshot residues (OGSR) have been investigated in order to provide additional and complementary information to the traditional inorganic gunshot residue (IGSR) particles detected by scanning electron microscopy (SEM). Currently, many procedures and analytical methods have been developed to detect OGSR-related compounds collected from the shooter's hands. However, such studies provide no information regarding the inclusion of such results in an activity level evaluation for discharging a firearm. The aim of this article is to assess the feasibility of using the likelihood ratio (LR) approach as a tool to evaluate OGSR results for activity level propositions. The developed model focuses on the assignment of an LR for several compounds detected in OGSR. A simple worst-case simulation was investigated in order to assess the applicability of the LR approach to evaluate OGSR traces. This simulation highlighted the importance of addressing an appropriate pair of activity level propositions when evaluating the results.
射击残留物（GSR）的分析可以提供有关涉案人员（POI）是否涉及枪支事件的重要信息。为了提供比扫描电子显微镜（SEM）检测到的传统无机射击残留物（IGSR）颗粒更多的补充信息，已经对有机射击残留物（OGSR）进行了研究。目前，已经开发了许多程序和分析方法来检测从射手手上采集到的 OGSR 相关化合物。然而，这些研究并没有提供关于将这些结果纳入枪支射击活动水平评估的信息。本文的目的是评估使用似然比（LR）方法评估 OGSR 结果用于活动水平主张的可行性。所开发的模型侧重于为 OGSR 中检测到的几种化合物分配 LR。进行了简单的最坏情况模拟，以评估 LR 方法评估 OGSR 痕迹的适用性。该模拟强调了在评估结果时，为评估活动水平命题选择合适的 OGSR 痕迹的重要性。
