Sikirzhytskaya Aliaksandra, Sikirzhytski Vitali, McLaughlin Gregory, Lednev Igor K
Department of Chemistry, University at Albany, SUNY, 1400 Washington Ave., Albany, NY, 12222.
J Forensic Sci. 2013 Sep;58(5):1141-1148. doi: 10.1111/1556-4029.12248. Epub 2013 Jul 30.
Body fluid traces recovered at crime scenes are among the most common and important types of forensic evidence. However, the ability to characterize a biological stain at a crime scene nondestructively has not yet been demonstrated. Here, we expand the Raman spectroscopic approach for the identification of dry traces of pure body fluids to address the problem of heterogeneous contamination, which can impair the performance of conventional methods. The concept of multidimensional Raman signatures was utilized for the identification of blood in dry traces contaminated with sand, dust, and soil. Multiple Raman spectra were acquired from the samples via automatic scanning, and the contribution of blood was evaluated through the fitting quality using spectroscopic signature components. The spatial mapping technique allowed for detection of "hot spots" dominated by blood contribution. The proposed method has great potential for blood identification in highly contaminated samples.
在犯罪现场发现的体液痕迹是最常见且重要的法医证据类型之一。然而，尚未证明能够在不破坏犯罪现场生物污渍的情况下对其进行特征描述。在此，我们扩展了拉曼光谱方法，用于识别纯净体液的干燥痕迹，以解决可能影响传统方法性能的异质污染问题。利用多维拉曼特征的概念来识别被沙子、灰尘和土壤污染的干燥痕迹中的血液。通过自动扫描从样品中获取多个拉曼光谱，并使用光谱特征成分通过拟合质量评估血液的贡献。空间映射技术能够检测到以血液贡献为主的“热点”。所提出的方法在高度污染样品中的血液识别方面具有巨大潜力。
