Journal of Forensic Medicine ›› 2026, Vol. 42 ›› Issue (1): 34-42.DOI: 10.12116/j.issn.1004-5619.2025.450906

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Research Progress on the Methodological System for Decomposition Stage Classification in Forensic Medicine

Qiong JIA1,2(), Kai-jun JIN3, Shi-qi LIU3, Yi-meng ZHANG4, Yun-le MENG2, Hao NIE2, Sheng HU2, Fan YANG2, Xing-chun ZHAO1,2(), Jian YE1,2()   

  1. 1.People’s Public Security University of China, Beijing 100038, China
    2.Institute of Forensic Science of China, Beijing 100038, China
    3.School of Forensic Medicine, Shanxi Medical University, Jinzhong 030001, Shanxi Province, China
    4.College of Forensic Medicine, Hebei Medical University, Shijiazhuang 050017, China
  • Received:2025-09-15 Online:2026-04-28 Published:2026-02-25
  • Contact: Xing-chun ZHAO, Jian YE

Abstract:

Accurate classification of postmortem decomposition stages is a critical step in estimating the postmortem interval (PMI) and tracing the initial decomposition environment. Research on the decomposition staging methodological system is gradually shifting from empirical observation to the establishment of systems based on multidimensional quantitative indicators. This paper focuses on two key pathways, “macroscopic morphological evolution” and “microscopic molecular succession”, and systema-tically reviews the evolutionary patterns and applicability of the decomposition staging system in three typical environmental media: surface exposure, burial, and aquatic systems. It also summarizes research progress in constructing stage classification models utilizing microbiome and metabolomic features. Furthermore, it highlights the integrated application of decomposition characteristic quantification techniques, multi-omics data integration, and machine learning algorithms in decomposition analysis systems. It analyzes the prospects and challenges of applying these approaches to build a standardized and practical decomposition staging system, aiming to provide theoretical support for establishing a decomposition staging system with high accuracy and strong adaptability to different environments.

Key words: forensic pathology, decomposition, postmortem changes, postmortem interval estimation, decomposition staging, review

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