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High Sensitive Methane Sensor With Temperature Compensation Based on Selectively Liquid-Infiltrated Photonic Crystal Fibers

  • Hai LiuEmail author
  • Haoran Wang
  • Wen Zhang
  • Cancan Chen
  • Qing Wang
  • Yi Ding
  • Shoufeng Tang
Open Access
Regular
  • 16 Downloads

Abstract

A highly sensitive and temperature-compensated methane sensor based on a liquid-infiltrated photonic crystal fiber (PCF) is proposed. Two bigger holes near the core area are coated with a methane-sensitive compound film, and specific cladding air holes are infiltrated into the liquid material to form new defective channels. The proposed sensor can achieve accurate measurement of methane concentration through temperature compensation. The sensitivity can reach to 20.07 nm/% with a high linearity as the methane concentration is within the range of 0%–3.5% by volume. The proposed methane sensor can not only improve the measurement accuracy, but also reduce the metrical difficulty and simplify the process.

Keywords

Photonic crystal fiber methane sensor directional resonance coupling temperature compensation 

Notes

Acknowledgement

This work was supported by the National Key R&D Program of China under Grant No. 2016YFC0801800, National Natural Science Foundation of China under Grant No. 51874301, Science and Technology Innovation Project of Xuzhou City under Grant No. KC16SG264, and the Special Foundation for Excellent Young Teachers and Principals Program of Jiangsu Province, China.

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Copyright information

© The Author(s) 2019

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), 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

  • Hai Liu
    • 1
    Email author
  • Haoran Wang
    • 1
  • Wen Zhang
    • 1
  • Cancan Chen
    • 1
  • Qing Wang
    • 1
  • Yi Ding
    • 1
  • Shoufeng Tang
    • 1
  1. 1.School of Information and Control EngineeringChina University of Mining and TechnologyXuzhouChina

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