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利用衰减全反射傅里叶变换红外光谱和化学计量学对 Phormia regina 蛹进行年龄估计。

Age estimation of Phormia regina pupae based on ATR-FTIR and chemometrics.

机构信息

Department of Forensic Medicine, Soochow University, Ganjiang East Road, Suzhou 215000, China.

Department of Forensic Medicine, Soochow University, Ganjiang East Road, Suzhou 215000, China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2025 Jan 15;325:125175. doi: 10.1016/j.saa.2024.125175. Epub 2024 Sep 19.

Abstract

Accurate postmortem interval estimation is vital in the investigation of homicides, suicides, and accidental deaths. It is key in narrowing suspect lists, improving crime-solving efficiency, and offering solace to bereaved families. The intra-puparial period, comprising about half of a fly's developmental cycle, presents challenges for morphological age estimation. External changes are limited to color shifts and the appearance of respiratory horns on the puparium only within several hours after pupariation, while detailed internal development analysis often requires invasive methods like removing the puparium, which can be damaging. Additionally, these techniques usually depend on a forensic entomologist's expertise, which lead to subjective biases. This study employed attenuated total reflection-fourier transform infrared spectroscopy, a rapid, non-destructive method for analyzing proteins, chitosan, and chitin in puparia. Data showed a consistent reduction in the concentration of the amide I band within the puparium during the intra-puparial development at five constant temperatures (19 °C, 22 °C, 25 °C, 28 °C and 31 °C). This trend in the spectral data effectively distinguishes pupae at various stages of intra-puparial development, facilitating precise age estimation, which is critical for the estimation of the minimum postmortem interval (PMI). Finally, this work combined the total reflection-fourier transform infrared spectroscopy with chemometric analysis and successfully developed a partial least squares discriminant analysis model and a random forest model, with accuracies of 88 % and 81 %, respectively. These models enable the non-invasive age estimation of P. regina in its intra-puparial period, a stage traditionally difficult to assess morphologically, thus laying the groundwork for PMI estimation using fly pupae.

摘要

准确推断死后时间间隔在凶杀案、自杀和意外死亡的调查中至关重要。它是缩小嫌疑人范围、提高破案效率和为失去亲人的家庭提供安慰的关键。蝇类的内蛹期约占其发育周期的一半,这给形态学年龄估计带来了挑战。在化蛹后数小时内,蛹的外部变化仅限于颜色变化和呼吸角的出现,而详细的内部发育分析通常需要侵入性方法,如去除蛹,这可能会造成损害。此外,这些技术通常依赖于法医昆虫学家的专业知识,这导致了主观偏见。本研究采用衰减全反射-傅里叶变换红外光谱法,这是一种快速、非破坏性的方法,用于分析蛹中的蛋白质、壳聚糖和几丁质。数据显示,在五个恒温(19°C、22°C、25°C、28°C 和 31°C)下,蛹内的酰胺 I 带在整个内蛹发育过程中的浓度持续降低。这种光谱数据趋势有效地将不同发育阶段的蛹区分开来,从而实现了精确的年龄估计,这对于最小死后时间间隔(PMI)的估计至关重要。最后,这项工作将全反射-傅里叶变换红外光谱法与化学计量学分析相结合,成功开发了偏最小二乘判别分析模型和随机森林模型,其准确率分别为 88%和 81%。这些模型能够实现蛹内期 P. regina 的非侵入性年龄估计,这一传统上难以进行形态学评估的阶段,从而为使用蝇蛹进行 PMI 估计奠定了基础。

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