Collins Sharni, Maestrini Luca, Hui Francis K C, Stuart Barbara, Ueland Maiken
Centre for Forensic Science, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007, Australia.
Research School of Finance, Actuarial Studies and Statistics, The Australian National University, Canberra, ACT 2601, Australia.
iScience. 2023 Jul 13;26(8):107371. doi: 10.1016/j.isci.2023.107371. eCollection 2023 Aug 18.
Human remains are oftentimes located with textile materials, making them a ubiquitous source of physical evidence. Human remains are also frequently discovered in outdoor environments, increasing the exposure to scavenging activity and soft-tissue decomposition. In such cases, postmortem interval (PMI) estimations can be challenging for investigators when attempting to use traditional methods for reconstructive purposes. Lipid analysis is an emerging area of research in forensic taphonomy, with recent works demonstrating success with the detection and monitoring of lipids over time. In this work, generalized linear mixed models (GLMMs) were utilized to perform rigorous statistical analyses on 30 lipid outcomes in combination with accumulated-degree-days (ADD). The results of this study were consistent with recent works, indicating oleic and palmitic acids to be the most suitable lipids in textiles to target for future use as soft-tissue biomarkers of human decomposition. Interspecies differences between humans and pigs were also addressed in this work.
人类遗骸常常与纺织材料一同被发现，这使得它们成为无处不在的实物证据来源。人类遗骸也经常在户外环境中被发现，这增加了其暴露于 scavenging activity 和软组织分解的程度。在这种情况下，当调查人员试图使用传统方法进行重建目的时，死后间隔时间（PMI）估计可能具有挑战性。脂质分析是法医埋藏学中一个新兴的研究领域，最近的研究表明随着时间推移对脂质的检测和监测取得了成功。在这项工作中，广义线性混合模型（GLMMs）被用于结合累积度日（ADD）对30种脂质结果进行严格的统计分析。这项研究的结果与最近的研究一致，表明油酸和棕榈酸是纺织品中最适合作为未来人类分解软组织生物标志物的脂质。这项工作还探讨了人类和猪之间的种间差异。
