染色头发与游泳池:氯化和非氯化搅拌水对头发上人造染料的表面增强拉曼光谱分析的影响

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-10-31 DOI:10.1021/acsomega.4c0673410.1021/acsomega.4c06734
Aidan P. Holman, Roa Elsaigh, Ragd Elsaigh, Axell Rodriguez and Dmitry Kurouski*, 
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引用次数: 0

摘要

氯气通常存在于泳池和自来水中,由于其来源和成分,它在法医毛发分析中是一个令人关注的问题。目前的法医分析涉及光学显微镜,而光学显微镜需要经过高级培训,即使是多名专家也可能对同一毛发样本得出截然不同的结论。尽管传统分析方法面临挑战,但表面增强拉曼光谱(SERS)等新兴技术提供了有前景的解决方案,即使在长时间日照或死水浸泡等恶劣环境下也能取得成功。本研究采用偏最小二乘判别分析(PLS-DA)来评估 SERS 在识别浸泡在氯化水和蒸馏水中长达八周的头发上的染料方面的功效。我们的研究结果表明,一种半永久性着色剂在八周时间内对暴露于氯化和非氯化水中的染色头发的拉曼信号产生了压倒性影响,掩盖了其他着色剂的光谱特征。尽管一种着色剂占主导地位,但 PLS-DA 还是识别出了潜在的着色剂及其暴露条件,这表明原始着色剂与环境之间存在持续、独特的相互作用。这项研究表明,利用 SERS 基于 PLS-DA 鉴定头发上的染料具有很大的潜力。
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Dyed Hair and Swimming Pools: The Influence of Chlorinated and Nonchlorinated Agitated Water on Surface-Enhanced Raman Spectroscopic Analysis of Artificial Dyes on Hair

Chlorine, commonly found in pools and tap water, presents an intriguing concern in forensic hair analysis due to its sources and composition. Current forensic analysis involves optical microscopy which is subjected to advanced training where even multiple experts can deliver opposing conclusions for the same hair sample. Despite challenges in traditional analysis methods, emerging techniques like surface-enhanced Raman spectroscopy (SERS) offer promising solutions, showcasing success even in harsh environments like prolonged sunlight or stagnant water immersion. This study employs partial least-squares discriminant analysis (PLS-DA) to evaluate SERS efficacy in identifying dyes on hair immersed in chlorinated and distilled moving water for up to eight weeks. Our results demonstrated that one semipermanent colorant overwhelmingly influenced Raman signals in dyed hair exposed to both chlorinated and nonchlorinated water over an eight-week period, masking other colorants’ spectral signatures. Despite one colorant’s dominance, PLS-DA identified underlying colorants and their exposure conditions, suggesting persistent, unique interactions between original colorants and the environment. This study demonstrates the high potential for PLS-DA-based identifications of dyes on hair using SERS.

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