Cano-Trujillo Cristina, García-Ruiz Carmen, Ortega-Ojeda Fernando E, Montalvo Gemma
Universidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Ctra. Madrid-Barcelona km 33,6, 28871 Alcalá de Henares, Madrid, España; Universidad de Alcalá, Instituto Universitario de Investigación en Ciencias Policiales (IUICP), Calle Libreros 27, 28801 Alcalá de Henares, Madrid, España.
Universidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Ctra. Madrid-Barcelona km 33,6, 28871 Alcalá de Henares, Madrid, España; Universidad de Alcalá, Instituto Universitario de Investigación en Ciencias Policiales (IUICP), Calle Libreros 27, 28801 Alcalá de Henares, Madrid, España; Universidad de Alcalá, Departamento de Ciencias de la Computación, Ctra. Madrid-Barcelona km 33,6, 28871 Alcalá de Henares, Madrid, España.
Spectrochim Acta A Mol Biomol Spectrosc. 2023 May 5;292:122409. doi: 10.1016/j.saa.2023.122409. Epub 2023 Jan 26.
Blood is the most common and relevant bodily fluid that can be found in crime scenes. It is critical to correctly identify it, and to be able to differentiate it from other substances that may also appear at the crime scene. In this work, several stains of blood, chocolate, ketchup, and tomato sauce on five different substrates (plywood, metal, gauze, denim, and glass) were analysed by ATR FTIR spectroscopy assisted with orthogonal partial least square-discriminant analysis (OPLS-DA) models. It was possible to differentiate blood from the environmental interfering substances independently of the substrate they were on, and to differentiate bloodstains according to the substrate they were deposited on. These results represent a proof-of-concept that open new horizons to differentiate bloodstains from other interfering substances on common substrates present in crime scenes.
血液是犯罪现场最常见且相关的体液。正确识别血液并将其与可能也出现在犯罪现场的其他物质区分开来至关重要。在这项工作中,通过衰减全反射傅里叶变换红外光谱(ATR FTIR)结合正交偏最小二乘判别分析(OPLS-DA)模型,对五种不同基质(胶合板、金属、纱布、牛仔布和玻璃)上的几种血液、巧克力、番茄酱和番茄沙司污渍进行了分析。能够独立于血液所在的基质将其与环境干扰物质区分开来,并且能够根据血液污渍所在的基质对其进行区分。这些结果代表了一个概念验证,为在犯罪现场常见基质上区分血迹与其他干扰物质开辟了新的视野。