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

Autor: Sharif S; 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., Wunder C; Institute of Legal Medicine, Forensic Biology, University Hospital, Goethe University, Frankfurt am Main, Germany.; Institute of Legal Medicine, Johannes Gutenberg University Medical Center, Am Pulverturm 3, 55131, Mainz, Germany., Amendt J; Institute of Legal Medicine, Forensic Biology, University Hospital, Goethe University, Frankfurt am Main, Germany., Qamar A; Section of Entomology, Department of Zoology, Aligarh Muslim University, Aligarh, 202002, U.P, India. ayesha.zoology@gmail.com.
Jazyk: angličtina
Zdroj: International journal of legal medicine [Int J Legal Med] 2024 Nov; Vol. 138 (6), pp. 2717-2733. Date of Electronic Publication: 2024 Aug 06.
DOI: 10.1007/s00414-024-03296-y
Abstrakt: 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.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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