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Determination of Ignitable Liquids in Fire Debris: Direct Analysis by Electronic Nose

机译:火渣中可燃液体的测定:电子鼻直接分析

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摘要

Arsonists usually use an accelerant in order to start or accelerate a fire. The most widely used analytical method to determine the presence of such accelerants consists of a pre-concentration step of the ignitable liquid residues followed by chromatographic analysis. A rapid analytical method based on headspace-mass spectrometry electronic nose (E-Nose) has been developed for the analysis of Ignitable Liquid Residues (ILRs). The working conditions for the E-Nose analytical procedure were optimized by studying different fire debris samples. The optimized experimental variables were related to headspace generation, specifically, incubation temperature and incubation time. The optimal conditions were 115 °C and 10 min for these two parameters. Chemometric tools such as hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA) were applied to the MS data (45–200 m/z) to establish the most suitable spectroscopic signals for the discrimination of several ignitable liquids. The optimized method was applied to a set of fire debris samples. In order to simulate post-burn samples several ignitable liquids (gasoline, diesel, citronella, kerosene, paraffin) were used to ignite different substrates (wood, cotton, cork, paper and paperboard). A full discrimination was obtained on using discriminant analysis. This method reported here can be considered as a green technique for fire debris analyses.
机译:纵火犯通常使用助燃剂来引发或加速起火。确定此类促进剂存在的最广泛使用的分析方法包括可燃液体残留物的预浓缩步骤,然后进行色谱分析。已经开发了一种基于顶空质谱电子鼻(E-Nose)的快速分析方法,用于分析可燃液体残留物(ILR)。通过研究不同的火屑样品,优化了E-Nose分析程序的工作条件。优化的实验变量与顶空的产生有关,特别是孵育温度和孵育时间。这两个参数的最佳条件是115°C和10分钟。化学计量学工具(例如层次聚类分析(HCA)和线性判别分析(LDA))应用于MS数据(45-200 m / z),以建立最合适的光谱信号来区分几种可燃液体。优化的方法应用于一组火屑样品。为了模拟燃烧后的样品,使用了几种可燃液体(汽油,柴油,香茅,煤油,石蜡)来点燃不同的底物(木材,棉花,软木,纸张和纸板)。使用判别分析获得了完全的辨别力。这里报道的这种方法可以被认为是一种绿色的火屑分析技术。

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