Zhang Pei, Xia Wei, Bai Yang, Zhang Fuyuan, Zhang Yan, Jiang Wei, Yuan Huiya
Department of Forensic Analytical Toxicology, China Medical University School of Forensic Medicine, Shenyang 110122, China.
Department of Nursing, Shengjing Hospital of China Medical University, Shenyang 110004, China.
J Pharm Biomed Anal. 2025 May 15;257:116706. doi: 10.1016/j.jpba.2025.116706. Epub 2025 Jan 31.
The estimation of postmortem submersion interval (PMSI) has always been an important scientific issue to be addressed in drowning cases. Traditional methods, such as corpse temperature analysis and the assessment of corpse surface corruption, have limitations and cannot meet the need for accurate estimation of the time of death in the mid to late stages. Biogenic amines, as small molecules produced by protein degradation after death, have a certain regularity in relation to PMSI. To further explore the possibility of utilizing polyamines to estimate PMSI, this experiment constructed a rat cadaver model in both laboratory constant-temperature water and natural water bodies. Furthermore, cadaverine and putrescine in the liver and skeletal muscle were detected at different PMSI using gas chromatography-mass spectrometry (GC-MS). Through statistical analysis, we have constructed eight sets of mathematical models for polyamines-PMSI estimation, and determined the applicable time range through derivative analysis. After evaluation the models, the error rate in inferring PMSI using the fitted equations was less than 30 % within 242 h. The models established in this study could accurately infer PMSI in the mid to late stages of the postmortem period, providing a feasible approach for the drowning forensic issue.
死后浸没时间(PMSI)的估计一直是溺水案件中需要解决的重要科学问题。传统方法,如尸体温度分析和尸体表面腐败评估,存在局限性,无法满足中后期死亡时间准确估计的需求。生物胺作为死后蛋白质降解产生的小分子,与PMSI具有一定的规律性。为进一步探索利用多胺估计PMSI的可能性,本实验在实验室恒温水体和自然水体中构建了大鼠尸体模型。此外,使用气相色谱-质谱联用仪(GC-MS)在不同PMSI下检测肝脏和骨骼肌中的尸胺和腐胺。通过统计分析,构建了八组多胺-PMSI估计的数学模型,并通过导数分析确定了适用的时间范围。对模型进行评估后,在242小时内使用拟合方程推断PMSI的错误率小于30%。本研究建立的模型能够准确推断死后中后期的PMSI,为溺水法医问题提供了一种可行的方法。