Suppr超能文献

丽蝇科 Calliphora vicina(双翅目:Calliphoridae)空蛹皮角质烃的变化:估算死后晚期时间间隔的新见解。

Variations in cuticular hydrocarbons of Calliphora vicina (Diptera: Calliphoridae) empty puparia: Insights for estimating late postmortem intervals.

机构信息

Institute of Legal Medicine, Forensic Biology, University Hospital, Goethe University, Frankfurt am Main, Germany.

Section of Entomology, Department of Zoology, Aligarh Muslim University, Aligarh, 202002, U.P, India.

出版信息

Int J Legal Med. 2024 Nov;138(6):2717-2733. doi: 10.1007/s00414-024-03296-y. Epub 2024 Aug 6.

Abstract

Necrophagous flies, particularly blowflies, serve as vital indicators in forensic entomology and ecological studies, contributing to minimum postmortem interval estimations and environmental monitoring. The study investigates variations in the predominant cuticular hydrocarbons (CHCs) viz. n-C25, n-C27, n-C28, and n-C29 of empty puparia of Calliphora vicina Robineau-Desvoidy, 1830, (Diptera: Calliphoridae) across diverse environmental conditions, including burial, above-ground and indoor settings, over 90 days. Notable trends include a significant decrease in n-C25 concentrations in buried and above-ground conditions over time, while n-C27 concentrations decline in buried and above-ground conditions but remain stable indoors. Burial conditions show significant declines in n-C27 and n-C29 concentrations over time, indicating environmental influences. Conversely, above-ground conditions exhibit uniform declines in all hydrocarbons. Indoor conditions remain relatively stable, with weak correlations between weathering time and CHC concentrations. Additionally, machine learning techniques, specifically Extreme Gradient Boosting (XGBoost), are employed for age estimation of empty puparia, yielding accurate predictions across different outdoor and indoor conditions. These findings highlight the subtle responses of CHC profiles to environmental stimuli, underscoring the importance of considering environmental factors in forensic entomology and ecological research. The study advances the understanding of insect remnant degradation processes and their forensic implications. Furthermore, integrating machine learning with entomological expertise offers standardized methodologies for age determination, enhancing the reliability of entomological evidence in legal contexts and paving the way for future research and development.

摘要

食尸性蝇类,尤其是麻蝇,在法医昆虫学和生态研究中充当重要的指示物,有助于对死后时间间隔进行最小估计和进行环境监测。本研究调查了在 90 天的时间内,不同环境条件下,如埋葬、地上和室内环境中,丽蝇科 Calliphora vicina Robineau-Desvoidy, 1830 空蛹的主要表皮碳氢化合物(CHC),即 n-C25、n-C27、n-C28 和 n-C29 的变化。显著趋势包括,在埋葬和地上条件下,n-C25 浓度随时间显著降低,而 n-C27 浓度在埋葬和地上条件下降低,但在室内保持稳定。埋葬条件下 n-C27 和 n-C29 浓度随时间显著下降,表明受环境影响。相反,地上条件下所有碳氢化合物均匀下降。室内条件相对稳定,风化时间与 CHC 浓度之间相关性较弱。此外,采用机器学习技术,特别是极端梯度提升(XGBoost),对空蛹进行年龄估计,在不同的室外和室内条件下都能得出准确的预测。这些发现突出了 CHC 谱对环境刺激的微妙反应,强调了在法医昆虫学和生态研究中考虑环境因素的重要性。该研究增进了对昆虫残余物降解过程及其法医学意义的理解。此外,将机器学习与昆虫学专业知识相结合,为年龄确定提供了标准化方法,提高了昆虫学证据在法律背景下的可靠性,为未来的研究和发展铺平了道路。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验