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Classification of condom lubricants in cyanoacrylate treated fingerprints by desorption electrospray ionization mass spectrometry

机译:解吸电喷雾电离质谱法对氰基丙烯酸酯处理指纹避孕套润滑剂的分类

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Traces of condom lubricants in fingerprints can be valuable information in cases of sexual assault. Ideally, not only confirmation of the presence of the condom but also determination of the type of condom brand used can be retrieved. Previous studies have shown to be able to retrieve information about the condom brand and type from fingerprints containing lubricants using various analytical techniques. However, in practice fingerprints often appear latent and need to be detected first, which is often achieved by cyanoacrylate fuming. In this study, we developed a desorption electrospray ionization mass spectrometry (DESI-MS) method which, combined with principal component analysis and linear discriminant analysis (PCA-LDA), allows for high accuracy classification of condom brands and types from fingerprints containing condom lubricant traces. The developed method is compatible with cyanoacrylate (CA) fuming. We collected and analyzed a representative dataset for the Netherlands comprising 32 different condoms. Distinctive lubricant components such as polyethylene glycol (PEG), polydimethylsiloxane (PDMS), octoxynol-9 and nonoxynol-9 were readily detected using the DESI-MS method. Based on the analysis of lubricant spots, a 99.0% classification accuracy was achieved. When analyzing lubricant containing fingerprints, an overall accuracy of 90.9% was obtained. Full chemical images could be generated from fingerprints, showing the distribution of lubricant components such as PEG and PDMS throughout the fingerprint, while still allowing for classification. The developed method shows potential for the development of DESI-MS based analyses of CA treated exogenous compounds from fingerprints for use in forensic science. (C) 2019 The Authors. Published by Elsevier B.V.
机译:在性侵犯的情况下,指纹中的避孕套润滑剂的痕迹可能是有价值的信息。理想情况下,不仅确认存在避孕套的存在,而且还可以检索使用的避孕套品牌的类型。以前的研究表明,能够检索有关避孕套品牌的信息,并从使用各种分析技术从含有润滑剂的指纹类型。然而,在实践中,指纹通常出现潜伏并且需要首先检测,这通常是通过氰基丙烯酸酯卷发的。在该研究中,我们开发了一种解吸电喷雾电离质谱(DESI-MS)方法,其与主成分分析和线性判别分析(PCA-LDA)结合,允许高精度地分类安全套润滑油的指纹痕迹。开发方法与氰基丙烯酸酯(CA)卷曲相容。我们收集并分析了包括32个不同避孕套的荷兰代表数据集。使用DESI-MS方法容易地检测诸如聚乙二醇(PEG),聚二甲基硅氧烷(PDMS),octoOxynol-9和非氧基醇-9的独特润滑剂组分。基于润滑油斑的分析,实现了99.0%的分类准确性。在分析含有指纹的润滑剂时,获得90.9%的总精度。可以从指纹产生完整的化学图像,显示在整个指纹中的润滑剂组分如PEG和PDMS的分布,同时仍然允许分类。开发的方法显示了从指纹用于法医学中使用的Ca处理的外源化合物的基于Desi-MS分析的可能性。 (c)2019年作者。 elsevier b.v出版。

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