Department of Chemistry, State University of New York at Albany, 1400 Washington Ave, Albany, NY 12222, United States.
Department of Chemistry, State University of New York at Albany, 1400 Washington Ave, Albany, NY 12222, United States.
Talanta. 2019 Mar 1;194:563-575. doi: 10.1016/j.talanta.2018.09.101. Epub 2018 Sep 27.
The rapid and accurate identification of condom-derived lubricant traces takes on heightened importance in sexual assault cases where the assailant has used a condom in order to avoid leaving behind incriminating DNA evidence. Previous reports have demonstrated that a variety of techniques can be used to confirm that a given residue is condom-derived, based on the detection of spermicides, slip agents and/or other common additives. However, limited success has been achieved in differentiating brands from among a broad range of condom types. In this study, the utility of direct analysis in real time-high resolution mass spectrometry (DART-HRMS) combined with chemometrics, for the rapid and accurate attribution of brands to condom residues of various types, was explored and developed. A database of condom residue spectra comprised of 110 different condom types representing 16 brands was generated, with the spectra serving as representative fingerprints for each brand. The spectral fingerprints were subjected to pre-processing prior to the application of Partial Least Squares-Discriminant Analysis (PLS-DA) which was used to generate a classifier that permitted identification of condom brands with an accuracy of 97.4%. An additional criterion was imposed on the PLS-DA to provide the confidence level and credibility of each prediction. The effect of time since deposition, the presence of contaminants and the influence of residue transfer on the prediction accuracy of the model were also assessed. The results from Sparse Discriminant Analysis (SDA) and PLS-DA were followed by application of the Student's t-test to determine m/z values representative of small-molecule markers that were most important for defining brand classes. The m/z values revealed by the two methods were found to be consistent in indicating which masses were representative of markers. The SDA method also provided low-dimensional views of the discriminative directions for classification of condom residues, thereby enabling easy visualization of the relationship between the indicated m/z values and brand discrimination. The results further revealed a subset of 14 m/z values that were observed in all 110 condoms representing the 16 brands, and some of these may serve as potential universal small-molecule condom markers. Overall, the results show that the DART-HRMS database of condom residue spectra can be used to identify residues based on differences in chemical components peculiar to each brand. The database can be readily expanded to include more condoms.
在性侵犯案件中,快速准确地识别避孕套衍生润滑剂痕迹尤为重要,因为犯罪者使用避孕套可以避免留下有犯罪证据的 DNA。先前的报告表明,基于杀精剂、滑剂和/或其他常见添加剂的检测,可以使用多种技术来确认特定残留物是否来自避孕套。然而,在区分广泛的避孕套类型方面,品牌区分的成功率有限。在这项研究中,探索并开发了直接分析实时高分辨率质谱(DART-HRMS)与化学计量学相结合的方法,用于快速准确地将品牌归因于各种类型的避孕套残留物。创建了一个由 110 种不同类型的避孕套组成的避孕套残留物光谱数据库,代表 16 个品牌,这些光谱作为每个品牌的代表性指纹。在应用偏最小二乘判别分析(PLS-DA)之前,对光谱指纹进行预处理,然后使用 PLS-DA 生成一个分类器,该分类器可以以 97.4%的准确率识别避孕套品牌。对 PLS-DA 施加了另一个标准,以提供每个预测的置信水平和可信度。还评估了沉积时间、污染物存在和残留物转移对模型预测准确性的影响。稀疏判别分析(SDA)和 PLS-DA 的结果之后,应用学生 t 检验确定代表定义品牌类别的小分子标记物的最重要 m/z 值。两种方法揭示的 m/z 值在指示哪些质量代表标记物方面是一致的。SDA 方法还为避孕套残留物分类的判别方向提供了低维视图,从而能够轻松地可视化指示的 m/z 值与品牌区分之间的关系。结果还揭示了在代表 16 个品牌的所有 110 个避孕套中都观察到的 14 个 m/z 值的子集,其中一些可能作为潜在的通用小分子避孕套标记物。总体而言,结果表明,避孕套残留物光谱的 DART-HRMS 数据库可用于根据每个品牌特有的化学成分差异识别残留物。该数据库可以轻松扩展以包括更多的避孕套。