Identification of semen stains is a critical step in evidence analysis in cases of sexual assaults (rape, child molestation, sexual harassments, etc). Presumptive and confirmatory methodologies that are nondestructive and can be used at crime scenes are extremely needed to help forensic experts to collect useful evidences without compromising the integrity of the samples. In this work, we put forward the high potential of a fast, nondestructive and noninvasive methodology like Near Infrared Hyperspectral Imaging (HSI-NIR), together with adequate multivariate methodologies for exploratory data analysis and classification. Due to the high absorption of the substrate, an exhaustive data analysis is performed in order to test the most suitable tool for the detection and discrimination of semen stains in diverse fabrics. Samples of human semen, lubricants, breast milk and animal semen were placed on fabrics of different colors and compositions to create a stain and hyperspectral images were acquired. As identification tools, Principal Component Analysis and MCR-ALS were used. Moreover, Classification techniques such as PLS-DA, sPLS-DA and SVM-DA were used in order to differentiate human semen from other substances. Although the methodology developed depend on the substrate used, it has been proven that HSI-NIR can be used as presumptive and confirmatory method of analysis in the search for semen stains.

在性侵犯（强奸，child亵儿童，性骚扰等）的情况下，精液污渍的识别是证据分析中的关键步骤。为了帮助法医专家收集有用的证据而又不损害样本的完整性，非常需要在犯罪现场可以使用的非破坏性推定和确认方法。在这项工作中，我们提出了一种快速，无损，无创的方法（如近红外高光谱成像（HSI-NIR））的潜力，以及用于探索性数据分析和分类的足够多变量方法。由于基质的高吸收性，因此进行了详尽的数据分析，以测试最合适的工具来检测和区分各种织物中的精液污渍。人类精液样本 将润滑剂，母乳和动物精液放置在不同颜色和成分的织物上以产生污点，并获取高光谱图像。作为识别工具，使用了主成分分析和MCR-ALS。此外，为了将人精液与其他物质区分开来，使用了分类技术，例如PLS-DA，sPLS-DA和SVM-DA。尽管开发的方法取决于所用的底物，但已证明，HSI-NIR可以用作寻找精液染色的推定性和确证性分析方法。sPLS-DA和SVM-DA用于区分人类精液和其他物质。尽管开发的方法取决于所用的底物，但已证明，HSI-NIR可以用作寻找精液染色的推定性和确证性分析方法。sPLS-DA和SVM-DA用于区分人类精液和其他物质。尽管开发的方法取决于所用的底物，但已证明，HSI-NIR可以用作寻找精液染色的推定性和确证性分析方法。