Suppr超能文献

利用衰减全反射傅里叶变换红外光谱和化学计量学估算不同类型织物上精液斑的沉积时间。

Estimation of time since deposition of semen stain on different fabric types using ATR-FTIR spectroscopy and chemometrics.

机构信息

Department of Forensic Medicine, Hacettepe University, Ankara, Turkey.

Department of Food Engineering, Hacettepe University, Ankara, Turkey.

出版信息

Forensic Sci Int. 2024 Jan;354:111885. doi: 10.1016/j.forsciint.2023.111885. Epub 2023 Nov 10.

Abstract

Various body fluids such as blood, semen, vaginal secretions, and saliva are frequently encountered at crime scene. In cases of sexual assault, semen stains are one of the most reliable evidence of biological origin. In this study, our objective was to develop a method for estimating the time since deposition of semen stains on five different fabric types using Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) Spectroscopy, with a focus on a time frame of up to 8 weeks. Semen samples from six different volunteers were dripped onto five distinct fabric materials, and ATR-FTIR measurements were obtained at 17 different time points. Principal component analysis (PCA) and partial least squares (PLS) methods were employed to differentiate semen stains on various fabric samples and estimate the age of semen stains. Models constructed using PCA and PLSR achieved high R values and low root-mean-square error (RMSE). While the performance varies depending on fabric types, it was observed that age estimation of semen stains can be made within following intervals: 0.39-0.76 days for 0-7 day range, 2.59-3.38 days for the 1-8 week range, and 3.98-8.1 days for the 0-56 day range. This study demonstrates the effectiveness of using ATR-FTIR spectroscopy in combination with chemometrics to estimate the age of human semen stains on various fabric types based on time-dependent spectral changes.

摘要

各种体液,如血液、精液、阴道分泌物和唾液,在犯罪现场经常遇到。在性侵犯案件中,精液痕迹是最可靠的生物来源证据之一。在这项研究中,我们的目的是开发一种使用衰减全反射-傅里叶变换红外(ATR-FTIR)光谱估计精液痕迹在五种不同织物类型上沉积时间的方法,重点是在最多 8 周的时间内。来自六个不同志愿者的精液样本滴在五种不同的织物材料上,并在 17 个不同的时间点获得 ATR-FTIR 测量值。采用主成分分析(PCA)和偏最小二乘法(PLS)方法对不同织物样本上的精液痕迹进行区分,并估计精液痕迹的年龄。使用 PCA 和 PLSR 构建的模型实现了高 R 值和低均方根误差(RMSE)。虽然性能因织物类型而异,但观察到可以在以下时间间隔内对精液痕迹进行年龄估计:0-7 天范围内为 0.39-0.76 天,1-8 周范围内为 2.59-3.38 天,0-56 天范围内为 3.98-8.1 天。本研究证明了使用 ATR-FTIR 光谱结合化学计量学根据时间相关的光谱变化估计各种织物类型上人类精液痕迹年龄的有效性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验