Journal of Atmospheric and Environmental Optics, Volume. 20, Issue 4, 461(2025)

Detection of nitrous oxide based on 7.6 μm quantum cascade laser

ZHOU Yu1, WANG Li1, and ZHA Shenlong2、*
Author Affiliations
  • 1School of Mathematics and Physics, Bengbu University, Bengbu 233030, China
  • 2School of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing 246133, China
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    The greenhouse effect has a great impact on the earth's environment and climate, so accurate detection of greenhouse gases is of great significance. As one of the important greenhouse gases, nitrous oxide (N2O) has a much higher greenhouse effect potential than carbon dioxide (CO2). However, compared to the widely studied CO2 and methane (CH4), there is less research on N2O. In this paper, a system based on a domestically developed 7.6 μm mid infrared quantum cascade laser was established for atmospheric N2O detection. The system adopts wavelength modulation and the second harmonic detection technology, with the N2O absorption line at 1307.66 cm-1 as the target line. Firstly, the optimal modulation amplitude of the system was determined by detecting the second harmonic signal of a certain concentration of N2O at different modulation amplitudes. Then under the optimal experimental conditions, N2O gas with different concentrations was measured, and the signal-volume fraction calibration curve of the system was obtained. The results showed that the minimum detection limit of N2O volume fraction of the system was 1.34 × 10-9, indicating that the system can meet the needs of atmospheric N2O measurement. A 6-hour detection of N2O was further carried out, and the averaged volume fraction of N2O during detection was 325 × 10-9, which is equivalent to the well-known volume fraction of atmospheric N2O of 320 × 10-9.

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    Yu ZHOU, Li WANG, Shenlong ZHA. Detection of nitrous oxide based on 7.6 μm quantum cascade laser[J]. Journal of Atmospheric and Environmental Optics, 2025, 20(4): 461

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    Paper Information

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    Received: Mar. 15, 2024

    Accepted: --

    Published Online: Sep. 30, 2025

    The Author Email: Shenlong ZHA (zslwinner@163.com)

    DOI:10.3969/j.issn.1673-6141.2025.04.004

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