将新型的外腔式宽调谐量子级联激光器(ECQCL)作为激发光源,高频石英谐振音叉作为光电探测器,开展了挥发性有机物的中红外激光光谱定量分析和成分识别研究。以不同站点和不同型号的汽油样本作为检测对象,检测它们的红外吸收光谱,并与美国西北太平洋国家实验室数据库的标准光谱进行比较,结果具有很好的一致性;实验中结合自行建立的插值算法和多元线性回归算法模型,可实现不同型号汽油样本中主要挥发性有机物的定量分析和成分归属分析。

We use the new external cavity widely-tuned quantum cascade laser (ECQCL) as the excitation light source and the high frequency quartz resonant tuning fork as the photoelectric detector to study the quantitative analysis and composition identification of volatile organic compounds (VOCs) by mid-infrared laser spectroscopy. The infrared absorption spectra of different types of gasoline samples from different sites are carefully analyzed and compared with the standard spectra taken from the Pacific Northwest National Laboratory (PNNL) database. The results are very consistent. In this experiment, a self-established spectral analysis model integrated with one dimensional cubic spline interpolation algorithm (CSIA) and multiple linear regression algorithm (MLRM) is developed and successfully used for quantitative analysis and component identification of VOCs.