Gładysz Marta, Król Małgorzata, Kościelniak Paweł
Laboratory for Forensic Chemistry, Department of Analytical Chemistry, Faculty of Chemistry, Jagiellonian University in Kraków, Gronostajowa 2, 30-387 Kraków, Poland.
Laboratory for Forensic Chemistry, Department of Analytical Chemistry, Faculty of Chemistry, Jagiellonian University in Kraków, Gronostajowa 2, 30-387 Kraków, Poland.
Forensic Sci Int. 2017 Nov;280:130-138. doi: 10.1016/j.forsciint.2017.09.019. Epub 2017 Oct 6.
The main challenge for the identification and differentiation of lipsticks for forensic purposes is the fact that they have a similar chemical composition - in particular, samples of the same hue. The objective of the presented research was to solve this problem using a nondestructive analytical technique - attenuated total reflection spectroscopy (ATR). 38 red lipsticks produced by 20 different manufacturers were examined in optimized experimental conditions. To facilitate discrimination and provide more extensive analyses of the obtained data, two chemometric techniques: principal component analysis and cluster analysis were used. Ultimately, nine groups of investigated lipstick samples with comparable chemical compositions were differentiated. Moreover, lipstick smears on six different interfering surfaces were analyzed and spectral subtraction was performed in order to identify individual samples. The established approach succeeded in identifying the index number and the manufacturer of the samples by using an in-lab built ATR spectra library. The developed method demonstrates a great potential for the differentiation and identification of red lipsticks with a very similar hue. It also seems to have good prospects for future application in forensic science investigations.
用于法医目的的口红识别和区分的主要挑战在于,它们具有相似的化学成分,尤其是相同色调的样品。本研究的目的是使用一种无损分析技术——衰减全反射光谱法(ATR)来解决这个问题。在优化的实验条件下,对20个不同制造商生产的38支红色口红进行了检测。为便于区分并对所得数据进行更广泛的分析,使用了两种化学计量技术:主成分分析和聚类分析。最终,区分出了九组化学成分相当的被调查口红样品。此外,还分析了六种不同干扰表面上的口红涂片,并进行了光谱减法以识别单个样品。通过使用实验室构建的ATR光谱库,所建立的方法成功地识别出了样品的索引号和制造商。所开发的方法在区分和识别色调非常相似的红色口红方面显示出巨大潜力。它在法医科学调查中的未来应用似乎也有良好前景。