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Raman Spectroscopy Coupled with Advanced Chemometrics for Forensic Analysis of Semen and Blood Mixtures

机译:拉曼光谱与先进的化学计量学结合用于法医学分析精液和血液混合物

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摘要

Near-infrared (NIR) Raman spectroscopy has become widespread in different areas of the analytical study of materials, including forensic science. The nondestructive character, high selectivity, and possibility to explore a variety of materials make NIR Raman a valuable tool for the identification of body-fluid traces. In this study, we combined regression and classification chemometrical algorithms to achieve effective discrimination of pure body fluids from their binary mixtures. Raman spectra of dried blood, semen, and their mixtures in different ratios, collected in an automatic mapping manner, were used as a model system. The established detection limit for minor contributors is as low as a few percent. The proposed methodology takes into account the intrinsic heterogeneity of blood and semen and their variations between donors, and it potentially can be applied on other mixtures, including those which are of interest to forensic specialists.
机译:近红外(NIR)拉曼光谱仪已在包括法医学在内的材料分析研究的不同领域中广泛传播。 NIR拉曼的无损特性,高选择性和探索各种材料的可能性使NIR拉曼成为识别体液痕迹的宝贵工具。在这项研究中,我们结合了回归和分类化学计量学算法,以从其二元混合物中有效区分纯净体液。以自动绘图的方式收集的干血,精液及其不同比例的混合物的拉曼光谱被用作模型系统。对次要贡献者的既定检测极限低至百分之几。所提出的方法考虑了血液和精液的内在异质性以及供体之间的差异,它有可能应用于其他混合物,包括法医专家感兴趣的混合物。

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