Step-scan T cell-based differential Fourier transform infrared photoacoustic spectroscopy (DFTIR-PAS) for detection of ambient air contaminants
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- 作者：Lixian Liu ; Andreas Mandelis ; Huiting Huan ; Alexander Melnikov
- 刊名：Applied Physics B: Lasers and Optics
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：122
- 期：10
- 全文大小：1,102 KB
- 刊物类别：Physics and Astronomy
- 刊物主题：Physics
Electromagnetism, Optics and Lasers
Physical Chemistry
Laser Technology and Physics and Photonics
Quantum Optics, Quantum Electronics and Nonlinear Optics
Optical Spectroscopy and Ultrafast Optics
Physics and Applied Physics in Engineering - 出版者：Springer Berlin / Heidelberg
- ISSN：1432-0649
- 卷排序：122
文摘
A step-scan differential Fourier transform infrared photoacoustic spectroscopy (DFTIR-PAS) using a commercial FTIR spectrometer was developed theoretically and experimentally for air contaminant monitoring. The configuration comprises two identical, small-size and low-resonance-frequency T cells satisfying the conflicting requirements of low chopping frequency and limited space in the sample compartment. Carbon dioxide (CO2) IR absorption spectra were used to demonstrate the capability of the DFTIR-PAS method to detect ambient pollutants. A linear amplitude response to CO2 concentrations from 100 to 10,000 ppmv was observed, leading to a theoretical detection limit of 2 ppmv. The differential mode was able to suppress the coherent noise, thereby imparting the DFTIR-PAS method with a better signal-to-noise ratio and lower theoretical detection limit than the single mode. The results indicate that it is possible to use step-scan DFTIR-PAS with T cells as a quantitative method for high sensitivity analysis of ambient contaminants.