Chemistry Department, University at Albany , 1400 Washington Avenue, Albany, New York 12222, United States.
Anal Chem. 2017 Apr 18;89(8):4344-4348. doi: 10.1021/acs.analchem.7b00106. Epub 2017 Apr 3.
Several novel methods to determine externally visible characteristics of body fluid donors have been developed in recent years. These tests can help forensic investigators make predictions about the appearance of a suspect or victim, such as their sex, race, hair color, or age. While their potential benefit is undeniable, these methods destroy the physical evidence in the process. Raman spectroscopy has recently been used as a nondestructive technique to test for many of these characteristics. Here, we present the results from a study to determine the race of semen donors. Using Raman spectroscopy and multivariate data analysis, we were able to build a statistical model that accurately identified the race of all 18 semen donors in the calibration data set, as well as seven additional external validation donors. These results demonstrate Raman spectroscopy's potential to differentiate Caucasian and Black semen donors using chemometrics.
近年来，已经开发出了几种新颖的方法来确定体液供体的外部可见特征。这些测试可以帮助法医调查人员对嫌疑人或受害者的外貌做出预测，例如他们的性别、种族、头发颜色或年龄。虽然这些方法的潜在好处是不可否认的，但它们在这个过程中破坏了物证。拉曼光谱分析最近已被用作一种非破坏性技术来测试许多这些特征。在这里，我们介绍了一项用于确定精液供体种族的研究结果。使用拉曼光谱和多元数据分析，我们能够建立一个统计模型，该模型能够准确地识别校准数据集中所有 18 位精液供体的种族，以及另外 7 位外部验证供体的种族。这些结果表明，拉曼光谱分析通过化学计量学区分白人精液供体和黑人精液供体的潜力。
