Gunshot residues (GSR) analysis can be valuable in a forensic context for distinguishing entry wounds from exit wounds, especially in cases when body alterations prevent macroscopic analysis. Several studies have demonstrated its usefulness in various contexts. However, few studies have examined the retention of GSR under environmental conditions particularly after burial.
The primary objective of our experimental study is to investigate the retention of GSR after burial and decomposition by using two techniques: SEM-EDX and ICP-MS. Our secondary objective is to determine whether it is still possible to distinguish the entry wounds from the exit ones after 2 months of burial. For this study, we used a bovine model (cow feet), and fired with 7 mm semi-jacketed bullets. We formed several groups, including 3 control groups that hadn't been shot (buried for 2 days and 60 days and one unburied group), 3 test groups that had been shot (one unburied and two buried that were exhumed after 2 days and 60 days of burial).
The results of our study show that both SEM-EDX and ICP-MS were suitable for detecting particles characteristic of GSR, after 60 days of burial. However, only SEM-EDX could differentiate easily the entry wounds from the exit ones.
Our experimental study demonstrates that SEM-EDX analysis is suitable in cases where the discovery of a buried body doesn't allow the macroscopic determination of the ballistic trajectory.
It is well known that skeletal characteristics vary among different populations. Sex dimorphic characteristics of the mandible have been reported from studies using either mandible bone or computer tomography (CT) scan images of the mandible to test its efficacy in estimating sex. Mandibular studies for estimating sex in any particular population group may not hold well for different populations owing to inherent geographical variations. With this background, we assessed the validity of mandible measurements from CT scan images to determine sex in the South Indian population. As a part of our study, 11 metric parameters and 1 angular parameter were measured and analyzed. The mean values of all the parameters were significantly higher for males as compared to females. Bigonial breadth indicated the best discriminatory ability of the study. Mandibular angle had the least predictive accuracy among all the discriminant functions studied. We further observed that a combination of parameters gave the best overall classification rate (92.3 %). When the same functions were tested on an independent testing data set, a combination of parameters and bigonial breadth gave the best classification rate (82.1 %) which was consistent. We concluded that the mandible has a high accuracy for sex estimation. All the parameters studied demonstrated statistically significant differences between the two sexes except the mandibular angle.