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Association of ignitable liquid residues to neat ignitable liquids in the presence of matrix interferences using chemometric procedures.

机译:在存在基质干扰的情况下,使用化学计量学方法将可燃液体残留物与纯净可燃液体关联。

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摘要

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.
机译:在火屑分析中,可燃液体的风化和基质干扰会使得难以识别可燃液体残留物(ILR)。通过使用主成分分析(PCA)和皮尔逊乘积矩相关性(PPMC)系数,开发了一种客观的方法,可将ILR与相应的纯净液体关联起来,从而可以区别基质干扰。将六种可燃液体(汽油,柴油,超纯石蜡灯油,脱胶剂,火炬燃料,涂料稀释剂)加标到地毯上,进行燃烧,然后使用被动顶空萃取进行萃取,并通过气相色谱-质谱法进行分析。研究了轻烧和重烧条件。在PCA分数图中,根据烷烃和芳烃含量区分可燃液体。无论燃烧程度如何,都可以使用PCA和PPMC系数将所有ILR与相应的纯净液体成功关联。本研究中开发的方法可能使ILR与相应的纯净液体的关联更加客观。

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