Photonic Sensors

, Volume 7, Issue 3, pp 261–269 | Cite as

Research on multi-component gas optical detection system based on conjugated interferometer

  • Xin Gui
  • Yuheng Tong
  • Honghai Wang
  • Haihu Yu
  • Zhengying Li
Open Access


An optical multi-component gas detection system based on the conjugated interferometer (CI) is proposed and experimentally demonstrated. It can realize the concentration detection of mixture gas in the environment. The CI can transform the absorption spectrum of the target gases to a conjugated emission spectrum, when combining the CI with the broadband light source, the spectrum of output light matches well with the absorption spectrum of target gases. The CI design for different target gases can be achieved by replacing the kind of target absorbing gas in the CI filter. Traditional fiber gas sensor system requires multiple light sources for detection when there are several kinds of gases, and this problem has been solved by using the CI filter combined with the broadband light source. The experimental results show that the system can detect the concentration of multi-component gases, which are mixed with C2H2 and NH3. Experimental results also show a good concentration sensing linearity.


Gas conjugated interference filter gas sensing spectral absorption 



This research was supported by the Natural National Science Foundation of China, NSFC (Grant No. 61575149, 61290311), and the Major Project of Hubei Technological Innovation Special Fund (2016AAA008).


  1. [1]
    R. Dhawan, M. M. Khan, N. Panwar, U. Tiwari, R. Bhatnagar, S. C. Jain, et al., “A low loss mechanical splice for gas sensing using hollow-core photonic crystal fibre,” Optik–International Journal for Light and Electron Optics, 2013, 124(18): 3671–3673.CrossRefGoogle Scholar
  2. [2]
    S. Schilt, L. Thevenaz, M. Nikles, L. Emmenegger, and C. Huglin, “Ammonia monitoring at trace level using photoacoustic spectroscopy in industrial and environmental applications,” Spectrochimica Acta Part A Molecular & Biomolecular Spectroscopy, 2004, 60(14): 3259–3268.ADSCrossRefGoogle Scholar
  3. [3]
    D. Smith and P. Spanel, “The challenge of breath analysis for clinical diagnosis and therapeutic monitoring,” Analyst, 2007, 132(5): 390–396.ADSCrossRefGoogle Scholar
  4. [4]
    R. J. Lu, D. M. Shen, Q. Q. Du, B. Z. Huang, and J. S. Shi, “Tuning characteristics of DFB diode laser and its application to TDLAS gas sensor design,” Applied Mechanics & Materials, 2014, 511: 173–177.CrossRefGoogle Scholar
  5. [5]
    M. Jahjah, R. Lewicki, K. F. Tittle, K. Krzempek, P. Stefanski, S. So, et al., “CW DFB RT diode laser-based sensor for trace-gas detection of ethane using a novel compact multi-pass gas absorption cell,” SPIE, 2013, 112(4): 461–465.Google Scholar
  6. [6]
    J. Ye and Z. A. Li, “Method for the measurement of methane gas based on multi-beam interferometry,” Journal of the Optical Society of Korea, 2013, 17(6): 481–485.CrossRefGoogle Scholar
  7. [7]
    H. Ding, J. Q. Liang, J. H. Cui, and X. N. Wu, “A novel fiber Fabry-Perot filter based mixed-gas sensing system,” Sensors & Actuators B: Chemical, 2009, 138(1): 154–159.CrossRefGoogle Scholar
  8. [8]
    K. L. Chan, Z. Ning, D. Westerdahl, K. C. Wong, Y. W. Sun, A. Hartl, et al., “Dispersive infrared spectroscopy measurements of atmospheric CO2 using a Fabry-Perot interferometer sensor,” Science of the Total Environment, 2014, 472: 27–35.ADSCrossRefGoogle Scholar
  9. [9]
    W. Jin, S. Murray, D. Pinchbeck, G. Stewart, and B. Culshaw, “Absorption measurement of methane gas with a broadband light source and interferometric signal processing,” Optics Letters, 1993, 18(16): 1364.ADSCrossRefGoogle Scholar
  10. [10]
    J. Hodgkinson, R. Smith, W. O. Ho, J. R. Saffell, and R. P. Tatam, “Non-dispersive infra-red (NDIR) measurement of carbon dioxide at 4.2 μm in a compact and optically efficient sensor,” Sensors & Actuators B: Chemical, 2013, 186(186): 580–588.CrossRefGoogle Scholar
  11. [11]
    Z. P. Zhu, Y. H. Xu, and B. G. Jiang, “A one ppm NDIR methane gas sensor with single frequency filter denoising algorithm,” Sensors, 2012, 12(9): 12729–12740.CrossRefGoogle Scholar
  12. [12]
    F. Bilodeau, K. O. Hill, B. Malo, D. C. Johnson, and J. Albert, “High-return-loss narrowband all-fiber bandpass Bragg transmission filter,” IEEE Photonics Technology Letters, 1994, 6(1): 80–82.ADSCrossRefGoogle Scholar
  13. [13]
    P. Q. Liu, X. Wang, and C. F. Gmachl, “Single-mode quantum cascade lasers employing asymmetric Mach-Zehnder interferometer type cavities,” Applied Physics Letters, 2012, 101(16): 219–221.Google Scholar
  14. [14]
    Z. Y. Li, X. Gui, C. C. Hu, L. Zheng, H. H. Wang, and J. M. Gong, “Optical gas sensor based on gas conjugated interference light source,” IEEE Photonics Technology Letters, 2015, 27(14): 1550–1552.ADSCrossRefGoogle Scholar
  15. [15]
    HITRAN on the Web. Available online: (accessed on 1 July 2012).Google Scholar

Copyright information

© The Author(s) 2017

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Xin Gui
    • 1
  • Yuheng Tong
    • 2
  • Honghai Wang
    • 1
  • Haihu Yu
    • 1
  • Zhengying Li
    • 1
    • 2
  1. 1.National Engineering Laboratory for Fiber Optic Sensing TechnologyWuhan University of TechnologyWuhanChina
  2. 2.Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of EducationWuhan University of TechnologyWuhanChina

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