Acta Optica Sinica, Volume. 38, Issue 5, 0512004(2018)

Concentration Measurements of NO2 and NH3 Based on Wavelength-Modulation Frequency-Division-Multiplexing Spectroscopic Technique

Xiang Chen1,2, Ruifeng Kan1、*, Chenguang Yang1, Mai Hu1, Lu Yao1, Xueli Fan1, Yabai He1, Xiaofan Pei1, and Jianguo Liu1
Author Affiliations
  • 1 Key Lab of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2 University of Science and Technology of China, Hefei, Anhui 230022, China
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    Based on the mid-infrared quantum cascade laser (QCL) and wavelength-modulation frequency-division multiplexing spectroscopic technique, the simultaneous and high-sensitive NO2 and NH3 concentration measurements are realized. The QCLs with central frequencies around 1600.0 cm -1 and 1103.4 cm -1 are modulated at different frequencies. With the digital lock-in technique, the second harmonic signals are obtained by demodulating the original signals at different frequencies. A measurement system with a 60 m open-path multi-pass cell is developed for simultaneous monitoring of NO2 and NH3 in the air. A 25-cm-long reference gas cell is used to calibrate the system and it is found that the excellent linear response of the system occurs within a wide range of concentration. The detection limits for two kinds of gases are smaller than 10 -9. The real-time gas monitoring during 24 h is performed with this system and the measurement results show a good agreement with those given by the reference instruments.

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    Xiang Chen, Ruifeng Kan, Chenguang Yang, Mai Hu, Lu Yao, Xueli Fan, Yabai He, Xiaofan Pei, Jianguo Liu. Concentration Measurements of NO2 and NH3 Based on Wavelength-Modulation Frequency-Division-Multiplexing Spectroscopic Technique[J]. Acta Optica Sinica, 2018, 38(5): 0512004

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    Paper Information

    Category: Instrumentation, measurement, and metrology

    Received: Nov. 14, 2017

    Accepted: --

    Published Online: Jul. 10, 2018

    The Author Email: Kan Ruifeng (kanruifeng@aiofm.ac.cn)

    DOI:10.3788/AOS201838.0512004

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