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Surface plasmon resonance methane sensor based on the D-type photonic quasi-crystal fiber with double-layer films

  • Qiang Liu
  • , Kaiyu Wang
  • , Yudan Sun
  • , Xinrui Li
  • , Wei Liu
  • , Xueyan Zhao
  • , Tingting Lv
  • , Jingwei Lv
  • , Paul K. Chu
  • , Chao Liu*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

A high-sensitivity photonic quasi-crystal fiber surface plasmon resonance (PQF-SPR) methane sensor is designed and analyzed. The six-fold Penrose PQF has a D-type structure with two grooves on which TiO2 and Au films are deposited, and methane-sensitive film containing cryptophane-E is coated on the surface of the D-type structure. The characteristics of the sensor are analyzed by the finite element method and the influence of different coating materials (Au-TiO2, Au-MgF2, Au-ITO) on the sensitivity and FOM of the sensor is analyzed and compared. The results show that the PCF-SPR sensor with the dual Au-TiO2 film has better sensing properties. The maximum wavelength sensitivity and average wavelength sensitivity reach 40 nm/% and 34.74 nm/% in the methane concentration range of 0–3.5 % respectively. These properties are significantly better than those of similar sensors reported recently, and the sensor thus has large potential in the development of high-sensitivity and miniaturized methane sensors. © 2024 Published by Elsevier Inc.
Original languageEnglish
Article number103779
JournalOptical Fiber Technology
Volume84
Online published3 Apr 2024
DOIs
Publication statusPublished - May 2024

Funding

This work was jointly supported by the Basic Research Support Project for the Excellent Youth Scholars of Heilongjiang Province, Heilongjiang Provincial Natural Science Foundation of China [JQ2023F001], Local Universities Reformation and Development Personnel Training Supporting Project from Central Authorities, Hainan Province Science and Technology Special Fund [ZDYF2022GXJS003], Natural Science Foundation of Heilongjiang Province [LH2021F007], China Postdoctoral Science Foundation funded project [2020M670881], City University of Hong Kong Strategic Research Grant (SRG) [7005505], as well as City University of Hong Kong Donation Research Grant [DON-RMG 9229021].

RGC Funding Information

  • RGC-funded

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