Acta Optica Sinica, Volume. 42, Issue 19, 1906003(2022)

Methane Gas Detection Based on Anti-Resonant Hollow-Core Fiber

Beibei Si1,2, Jiaxiang Liu1, Ganshang Si1,2, Zhengang Li1,2, Zhiqiang Ning1,2, and Yonghua Fang1,2、*
Author Affiliations
  • 1Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui , China
  • 2University of Science and Technology of China, Hefei 230026, Anhui , China
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    A methane gas detection device based on anti-resonant hollow-core fibers is presented. A distributed feedback laser with a center wavelength of 1653 nm is combined with anti-resonant hollow-core fibers with a length of 1.8 m. The methane gas is detected in real time with a technique integrating tunable diode laser absorption spectroscopy with wavelength-modulation spectroscopy. A fiber coupling device of a ceramic ferrule and a ceramic sleeve is used to achieve stable butt-coupling between hollow-core fibers and single-mode fibers. Then, a lensless all-fiber gas detection device is built, and experiments are carried out on methane gas with different concentration gradients. The results show that there is a good linear relationship between the peak-to-peak value of the second harmonic signal and the gas concentration, and the linear correlation coefficient is R2=0.997. The accuracy of the volume fraction of the methane gas obtained by the wavelength modulation technique through inversion is 0.918×10-6, and the relative accuracy is 1.3%. The stability of the system is evaluated by the Allan variance, and the lowest detection sensitivity of the device is 13×10-9 when the averaging time is 66.8 s.

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    Beibei Si, Jiaxiang Liu, Ganshang Si, Zhengang Li, Zhiqiang Ning, Yonghua Fang. Methane Gas Detection Based on Anti-Resonant Hollow-Core Fiber[J]. Acta Optica Sinica, 2022, 42(19): 1906003

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Feb. 21, 2022

    Accepted: Apr. 1, 2022

    Published Online: Oct. 18, 2022

    The Author Email: Fang Yonghua (yhfang@aiofm.ac.cn)

    DOI:10.3788/AOS202242.1906003

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