Paper Title
Post-mortem Interval Estimation
Article Identifiers
Authors
DR.G.PANNEER SELVAM .M.D(FM)
Keywords
Advanced Imaging Techniques, Molecular Biomarkers, Microbial Forensics, Environmental Factors, Machine Learning and Data Analytics, Insect Succession Patterns, Sensor Technologies, Post-mortem Biochemical Changes, Validation Studies, Interdisciplinary Approaches
Abstract
Post-mortem interval (PMI) estimation plays a crucial role in forensic investigations, aiding in criminal investigations, identifying human remains, and providing closure to families. Various methods have been developed to estimate PMI, ranging from traditional techniques like entomology and forensic pathology to modern advancements in molecular biology and forensic anthropology. This review provides a comprehensive overview of the current methodologies and technologies used for PMI estimation, highlighting their strengths, limitations, and emerging trends. The review begins by discussing classical methods such as rigor mortis, livor mortis, and algor mortis, which rely on the physical changes that occur in the body after death. It then explores the role of entomology, focusing on the succession of insect species on decomposing remains and their correlation with PMI. Additionally, advancements in forensic pathology, including the examination of post-mortem changes in tissues and organs, are examined. The review further delves into modern techniques such as molecular biology, which utilize the degradation patterns of DNA and RNA to estimate PMI. The potential of microbiome analysis, utilizing the microbial communities present in decomposing remains, is also discussed as a promising avenue for PMI estimation. Moreover, forensic anthropology techniques, including skeletal analysis and taphonomic studies, are explored for their contribution to PMI estimation, especially in cases of skeletonized remains. Throughout the review, emphasis is placed on the interdisciplinary nature of PMI estimation, where combining multiple methods often yields more accurate results. Challenges such as environmental factors, variability among individuals, and the lack of standardized protocols are addressed, along with potential solutions and future directions.
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How To Cite (APA)
DR.G.PANNEER SELVAM .M.D(FM) (March-2024). Post-mortem Interval Estimation. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), b106-b134. https://ijnrd.org/papers/IJNRD2403111.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : b106-b134
Other Publication Details
Paper Reg. ID: IJNRD_213479
Published Paper Id: IJNRD2403111
Downloads: 000121980
Research Area: Medical Science
Country: SALEM /SALEM, TAMIL NADU, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403111.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403111
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