Calliphora vicina(双翅目:Calliphoridae)空蛹的角质碳氢化合物的变化:估计死后晚期间隔的启示。

IF 2.2 3区 医学 Q1 MEDICINE, LEGAL International Journal of Legal Medicine Pub Date : 2024-08-06 DOI:10.1007/s00414-024-03296-y
Swaima Sharif, Cora Wunder, Jens Amendt, Ayesha Qamar
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引用次数: 0

摘要

食尸蝇(尤其是吹蝇)是法医昆虫学和生态学研究中的重要指标,有助于最小死后间隔估计和环境监测。本研究调查了 Calliphora vicina Robineau-Desvoidy, 1830(双翅目:Calliphoridae)空蛹的主要角质碳氢化合物(CHCs),即 n-C25、n-C27、n-C28 和 n-C29,在不同环境条件下(包括掩埋、地面和室内环境)90 天的变化情况。值得注意的趋势包括:随着时间的推移,埋藏和地面环境中的 n-C25 浓度显著下降,而埋藏和地面环境中的 n-C27 浓度下降,但在室内保持稳定。掩埋条件下的 n-C27 和 n-C29 浓度随着时间的推移显著下降,表明受到了环境的影响。相反,地面条件下所有碳氢化合物的浓度均呈均匀下降趋势。室内条件相对稳定,风化时间与碳氢化合物浓度之间的相关性较弱。此外,机器学习技术,特别是极端梯度提升(XGBoost)技术,被用于估算空蛹的年龄,在不同的室外和室内条件下都能得出准确的预测结果。这些发现突显了 CHC 图谱对环境刺激的微妙反应,强调了在法医昆虫学和生态学研究中考虑环境因素的重要性。这项研究加深了人们对昆虫残体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可提供标准化的年龄测定方法,提高昆虫学证据在法律背景下的可靠性,并为未来的研究和发展铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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.

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来源期刊
CiteScore
5.80
自引率
9.50%
发文量
165
审稿时长
1 months
期刊介绍: The International Journal of Legal Medicine aims to improve the scientific resources used in the elucidation of crime and related forensic applications at a high level of evidential proof. The journal offers review articles tracing development in specific areas, with up-to-date analysis; original articles discussing significant recent research results; case reports describing interesting and exceptional examples; population data; letters to the editors; and technical notes, which appear in a section originally created for rapid publication of data in the dynamic field of DNA analysis.
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