Year: 2025
Type: article
Abstract: Gunshot identification is a critical component of forensic investigations, serving to link firearms to specific incidents and providing reliable evidence in legal proceedings. The study of projectile behavior, or ballistics, is central to this process. Ballistics encompasses three primary areas: internal ballistics (the behavior of the bullet within the firearm), external ballistics (the bullet's trajectory in flight), and terminal ballistics (the bullet's interaction with a target). Gunshot dynamics, a specific branch of ballistics, focuses on the effects of a bullet striking a target, including deformation, penetration, and the resulting injuries. This information is essential for understanding wound patterns and the impact of firearms in forensic investigations. The analysis of gunshot wounds, which involves examining entry and exit wounds, provides valuable insights into the bullet's trajectory, the type of firearm used, and the cause of injury or death. This information is crucial for reconstructing shooting events and supporting forensic investigations. Gunshot identification is applicable to a variety of scenarios, including homicides, suicides, accidental shootings, and law enforcement shootings. In each case, forensic experts analyze the evidence to determine the circumstances surrounding the gunfire. Future advancements in gunshot identification are likely to involve the use of advanced technologies such as 3D imaging, portable forensic tools, and microscopic trace analysis. These innovations will enhance the accuracy and efficiency of firearm investigations and evidence collection. Emerging technologies like micro-CT and LA-ICP-MS offer the potential for high-resolution imaging and precise analysis of bullets, cartridge cases, and gunshot residue. These tools are expected to significantly improve the speed and accuracy of forensic investigations.
DOI: 10.56770/fi2025313
Authors: Isra Rukhman, Ayna Marzia, Memoona .
Institutions: Islamia University of Bahawalpur, University of Toyama
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7084622211