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Proceedings Paper

Quantitative analysis of ammonia by THz time-domain spectroscopy
Author(s): Haibo Liu; Yunqing Chen; Tao Yuan; Fatemah Al-Douseri; Jingzhou Xu; Xi-Cheng Zhang
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Paper Abstract

Gas sensing and identification in far infrared or THz band is useful because many polar molecules have unique spectral fingerprints in this range, which are from the rotational transitions of the molecules. We have investigated the potential of THz time-domain spectroscopy (THz TDS) as a quantitative analysis technique for gas sensing. Ammonia vapor has been chosen as a sample gas. The absorption cross section at 0.572 THz of ammonia in the pressure range of 0.2-20 Torr was extracted to be (5.7±0.3)×10-20 cm2/molecule. In addition, a pressure calibration curve based on pure ammonia measurements was obtained. Using this calibration curve, we made quantitative analysis on the mixture of ammonia and air at 100 Torr. The result shows that THz TDS is an appropriate technique for quantitative analysis of polar gas and gas mixture. We measured the THz spectra of ammonia at different partial pressures in ~590 Torr nitrogen (78% nitrogen in atmosphere), and obtained a pressure calibration curve. THz spectra of ammonia at different partial pressures in 760 Torr atmosphere were measured. Based on the principle of differential optical absorption spectroscopy (DOAS) and the pressure calibration curve got in ~590 Torr nitrogen, we obtained the ammonia partial pressures. The result is compared with the value measured by vacuum gauge and the maximum error is 30%. This indicates that THz TDS based on principle of DOAS is an applicable quantitative technique for sensing ammonia or other polar gases in atmosphere.

Paper Details

Date Published: 27 February 2004
PDF: 10 pages
Proc. SPIE 5268, Chemical and Biological Standoff Detection, (27 February 2004); doi: 10.1117/12.518609
Show Author Affiliations
Haibo Liu, Rensselaer Polytechnic Institute (United States)
Yunqing Chen, Rensselaer Polytechnic Institute (United States)
Tao Yuan, Rensselaer Polytechnic Institute (United States)
Fatemah Al-Douseri, Rensselaer Polytechnic Institute (United States)
Jingzhou Xu, Rensselaer Polytechnic Institute (United States)
Xi-Cheng Zhang, Rensselaer Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 5268:
Chemical and Biological Standoff Detection
James O. Jensen; Jean-Marc Theriault, Editor(s)

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