摘要
目的应用裂解气相色谱-质谱法结合聚类分析,鉴别9个红外光谱相似的汽车中涂漆样品。方法从漆片中分离、提取出中涂漆样品,用裂解气相色谱-质谱检测并结合红外光谱检测,结果采用SPSS 19统计软件(美国IBM公司)对裂解数据进行聚类分析。结果裂解气相色谱质谱的检测结果经聚类分析处理,9个中涂漆样品按其裂解图谱的差异可分为4类;而结合红外光谱的检验结果,最终可将5类中涂漆样品一一区分。结论在汽车中涂漆的鉴别中,裂解气相色谱-质谱检测是对红外光谱检测的重要补充,能够有效地提高对中涂漆的鉴别能力。
Automobile prime coat samples which have similar infrared spectra were analyzed by pyrolysis gas chromatogra phy-mass spectrometry （Py C,C/MS） and the data were analyzed by software SPSS 19. The results showed that nine prime coat samples were categorized into 4 groups by Cluster Analysis, and combined with the results of IR, all nine samples were discrimina ted.
出处
《刑事技术》
2014年第1期44-46,共3页
Forensic Science and Technology
关键词
红外光谱
裂解气相色谱-质谱
聚类分析
微量物证
汽车油漆
infrared spectrometry
pyrolysis gas chromatography-mass spectrometry
cluster analysis
trace evidence
au tomobile paint
