Citation:
LI Kang-Xu, JIN Jing, LI Qiu-Fan-Zi, QIAN Pei-Wen, YIN Guo, ZHANG Jin-Zhuan. Study on Interference by Diene Rubber Pads to Gasoline Identification Based on Correlation of Interferent Chemical Composition and Interference Extent[J]. Chinese Journal of Analytical Chemistry,
;2022, 50(3): 454-464.
doi:
10.19756/j.issn.0253-3820.210674
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The matrix interference has been regarded as the key and difficult point in fire debris analysis. Based on our previous research on styrene-butadiene rubber, a typical matrix involving ‘alkylbenzene’ in molecular structure was correlated with the interference and molecular structure. To further explore the functional group of the matrix interfering with the ignited liquid residues (ILRs) identification, four diene rubber pads, i.e., styrene-butadiene rubber pad, natural rubber pad, butyl rubber pad and ethylene propylene diene monomer rubber pad, were selected in the study. With gas chromatography-mass spectrometry (GC-MS) analysis, the characteristic compounds analysis was made on fire debris of gasoline, rubber pads, and rubber pads after addition of gasoline. The results showed that almost all the target compounds used for gasoline identification could be detected in fire debris of all the diene rubber pad samples, including alkylbenzenes, homologs of indenes, condensed aromatic hydrocarbons, and polycyclic aromatic hydrocarbons, which indicated that the diene rubbers caused remarkable interference to gasoline identification, and overreliance on the presence of target compounds would lead to misidentifications in the presence of diene rubber residues. When 0.5 mL of gasoline was added to 5 g rubber pads, the chromatographs of the fire debris were relatively similar to that of gasoline, suggesting that the existence of diene rubber did not have a false negative effect on gasoline identification. The research results effectively verified once again that the interference extent of matrixes in fire scene was correlated with its chemical composition, which could provide a new idea for understanding the matrix interference to ILRs and predicting the interference extent from the viewpoint of chemical structure.
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