Baerncopf Jamie M, McGuffin Victoria L, Smith Ruth W
Forensic Science Program, 560 Baker Hall, School of Criminal Justice, Michigan State University, East Lansing, MI 48824, USA.
J Forensic Sci. 2011 Jan;56(1):70-81. doi: 10.1111/j.1556-4029.2010.01563.x. Epub 2010 Sep 20.
In fire debris analysis, weathering of ignitable liquids and matrix interferences can make the identification of ignitable liquid residues (ILRs) difficult. An objective method was developed to associate ILRs with the corresponding neat liquid with discrimination from matrix interferences using principal components analysis (PCA) and Pearson product moment correlation (PPMC) coefficients. Six ignitable liquids (gasoline, diesel, ultra pure paraffin lamp oil, adhesive remover, torch fuel, paint thinner) were spiked onto carpet, which was burned, then extracted using passive headspace extraction, and analyzed by gas chromatography-mass spectrometry. Both light and heavy burn conditions were investigated. In the PCA scores plot, ignitable liquids were discriminated based on alkane and aromatic content. All ILRs were successfully associated with the corresponding neat liquid using both PCA and PPMC coefficients, regardless of the extent of burning. The method developed in this research may make the association of ILRs with corresponding neat liquids more objective.
在火灾碎片分析中,可燃液体的风化和基质干扰会使可燃液体残留物(ILR)的鉴定变得困难。开发了一种客观方法,使用主成分分析(PCA)和皮尔逊积矩相关(PPMC)系数,将ILR与相应的纯液体相关联,并与基质干扰区分开来。将六种可燃液体(汽油、柴油、超纯石蜡灯油、胶粘剂去除剂、火炬燃料、油漆稀释剂)添加到地毯上,燃烧后,采用被动顶空萃取法进行萃取,并用气相色谱-质谱联用仪进行分析。研究了轻度和重度燃烧条件。在PCA得分图中,根据烷烃和芳烃含量区分可燃液体。无论燃烧程度如何,所有ILR均通过PCA和PPMC系数成功与相应的纯液体相关联。本研究中开发的方法可能会使ILR与相应纯液体的关联更加客观。