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家庭污染后的表面增强拉曼光谱毛发分析

Surface-enhanced Raman spectroscopy hair analysis after household contamination.

作者信息

Juarez Isaac, Kurouski Dmitry

机构信息

Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, USA.

Department of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, USA.

出版信息

Anal Methods. 2023 Oct 5;15(38):4996-5001. doi: 10.1039/d3ay01219k.

Abstract

Trace evidence found at crime scenes is rarely in an unsullied condition. Surface-enhanced Raman spectroscopy (SERS) is a modern analytical technique that can be used for the detection of artificial hair colourants (S. Higgins and D. Kurouski, Surface-Enhanced Raman Spectroscopy Enables Highly Accurate Identification of Different Brands, Types and Colors of Hair Dyes, , 2022, , 123762). However, contaminants pose a problem to collecting accurate spectra from the dyes. In this study, we sought to analyze how the different physical properties of contaminants can influence the collected spectra. We utilized 11 household substances of varying viscosity and opacity to contaminate hair dyed with permanent black or semi-permanent blue dyes. We discovered that contaminant opacity generally does not affect the spectral quality but that high contaminant viscosity does and that acidic substances could destroy the colourant's spectral identity altogether. Cleaning the contaminated hair with a water rinse allowed the underlying colourant to be identified in 21 out of 22 cases. Overall, this study provided a clearer understanding of the capabilities and limitations of SERS in forensic hair analysis.

摘要

在犯罪现场发现的微量证据很少处于未受污染的状态。表面增强拉曼光谱(SERS)是一种现代分析技术,可用于检测人工染发剂(S. 希金斯和D. 库罗斯基,《表面增强拉曼光谱能够高度准确地识别不同品牌、类型和颜色的染发剂》,《》,2022年,《》,123762)。然而,污染物给从染料中收集准确的光谱带来了问题。在本研究中,我们试图分析污染物的不同物理性质如何影响所收集的光谱。我们使用了11种粘度和不透明度各异的家用物质来污染染有永久性黑色或半永久性蓝色染料的头发。我们发现,污染物的不透明度通常不会影响光谱质量,但高污染物粘度会影响,并且酸性物质可能会完全破坏着色剂的光谱特征。用清水冲洗受污染的头发后,在22个案例中有21个案例能够识别出底层的着色剂。总体而言,本研究更清楚地了解了SERS在法医毛发分析中的能力和局限性。

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