Li Jia, Deng Xiaojiao, Zheng Xiaoping, Ren Yimin
Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Anal Methods. 2022 Jun 30;14(25):2479-2484. doi: 10.1039/d2ay00596d.
Terahertz rotational spectroscopy is one of the most effective methods of gas sensing. However, the rich and dense spectral peaks of multi-component gas mixtures in the terahertz band increase the difficulty of gas identification. A novel qualitative analysis method is proposed based on the collision broadening mechanism coupled with terahertz spectroscopy technology. First of all, a broadening coefficients database of acetonitrile, formic acid, and formaldehyde colliding with nitrogen was established by experimental measurements and a spectral peak fitting technique. Then the broadening coefficients of the isolated peaks in binary and ternary mixtures perturbed by nitrogen were derived. Finally, the components were identified by matching the broadening coefficients of these isolated peaks with the established database. The proposed qualitative analysis method based on the collision broadening mechanism would be a new approach for identifying multi-component gas mixtures in analytical chemistry.
太赫兹旋转光谱法是气体传感最有效的方法之一。然而，太赫兹波段多组分气体混合物丰富且密集的光谱峰增加了气体识别的难度。基于碰撞展宽机制结合太赫兹光谱技术提出了一种新颖的定性分析方法。首先，通过实验测量和光谱峰拟合技术建立了乙腈、甲酸和甲醛与氮气碰撞的展宽系数数据库。然后推导了受氮气扰动的二元和三元混合物中孤立峰的展宽系数。最后，通过将这些孤立峰的展宽系数与已建立的数据库进行匹配来识别组分。所提出的基于碰撞展宽机制的定性分析方法将成为分析化学中识别多组分气体混合物的一种新方法。
