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<p>A photonic quasi-crystal fiber surface plasmon resonance (PQF-SPR) sensor composed of a ZnO–Au bilayer film is designed and analyzed. The dual-core groove structure is designed to improve the performance of the sensor. The finite element method is performed to analyze the influence of the groove shape on the sensing properties. The results reveal that the shape of the groove directly influences the coupling between the core mode and the surface plasmon polariton (SPP) mode as well as the peak loss and full-width at half-maximum (FWHM) of the loss spectra. By optimizing the groove shape and structural parameters of the PQF, a maximum wavelength sensitivity of 25,000&#xa0;nm/RIU and a quality factor (figure of merit) of 432 RIU<sup>−1</sup> are attained in the refractive index range between 1.30 and 1.41. This study provides valuable insights and guidance for the development and optimization of high-performance SPR sensors.</p>

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Double-Groove ZnO–Au Photonic Quasi-crystal Fiber Surface Plasmon Resonance Sensor

  • 期刊论文

  • 发表日期：

    2025年6月27日

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  • Qiang Liu,
  • Xinrui Li,
  • Li Liu,
  • Kaiyu Wang,
  • Yudan Sun,
  • Xiaoxu Zhang,
  • Wei Liu,
  • Jingwei Lv,
  • Xueyan Zhao,
  • Paul K. Chu,
  • Chao Liu

摘要

A photonic quasi-crystal fiber surface plasmon resonance (PQF-SPR) sensor composed of a ZnO–Au bilayer film is designed and analyzed. The dual-core groove structure is designed to improve the performance of the sensor. The finite element method is performed to analyze the influence of the groove shape on the sensing properties. The results reveal that the shape of the groove directly influences the coupling between the core mode and the surface plasmon polariton (SPP) mode as well as the peak loss and full-width at half-maximum (FWHM) of the loss spectra. By optimizing the groove shape and structural parameters of the PQF, a maximum wavelength sensitivity of 25,000 nm/RIU and a quality factor (figure of merit) of 432 RIU−1 are attained in the refractive index range between 1.30 and 1.41. This study provides valuable insights and guidance for the development and optimization of high-performance SPR sensors.