Applications and Challenges of Forensic Science and Trace Examination Techniques in Modern Criminal Investigation

Journal: Advances in Medicine and Engineering Interdisciplinary Research DOI: 10.32629/ameir.v1i4.1427

Shukun Luo1, Xiaowen Qin2

1. Forensic Science Identification Center of Erdao Changchun, Changchun 130031, Jilin, China.
2. The Second Norman Bethune Hospital of Jilin University, Changchun 130022, Jilin, China.

Abstract

This paper examines the integration of forensic science and trace examination techniques in modern criminal investigations, highlighting the transformative impact on evidence analysis and case resolution. It critically analyzes the advancements in technologies such as DNA profiling, fingerprint analysis, and digital forensics, and their contributions to enhancing investigative accuracy. Concurrently, the paper addresses the legal and ethical challenges posed by these technologies, including issues related to privacy, evidence admissibility, and potential misuse. Through case studies and legal framework analysis, the study illustrates the need for robust legal and ethical guidelines to govern the application of forensic technologies in criminal justice.

Keywords

forensic science; trace examination techniques; criminal investigation; legal challenges; ethical considerations; DNA profiling; fingerprint analysis; digital forensics

References

[1] Di Li, Senlin Xie. 2017. The Importance of Reasonably Utilizing Trace Examination Techniques in Criminal Investigation. Legal System Expo, 28: 139-140.
[2] Guoliang Zheng, G. Alexander Nunn, Chenshu Wei. 2022. Beyond the Witness: Introducing a Procedural Perspective into Modern Evidence Law. Journal of Evidence Science, 30(03): 322-355.
[3] Bin Fang. 2022. New Tools for Kinship Investigation Under the Intelligence Generation Paradigm: DNA Distant Family Searching. Journal of Evidence Science, 30(01): 47-69.
[4] Xingchun Zhou. 2021. Strategies for the Effective Use of Trace Examination Techniques in Criminal Investigation. Journal of Legal System Expo, 31: 118-119.

Copyright © 2023 Shukun Luo, Xiaowen Qin

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