<p>In this paper, we propose a novel D-shaped photonic crystal fiber surface plasmon resonance sensor featuring two symmetric semi-elliptical grooves etched into its flat surface. This innovative structural design significantly enhances the sensor’s sensitivity and broadens its refractive index (RI) detection range. Comprehensive numerical analysis via the finite element method demonstrates that the optimized sensor achieves a remarkable maximum wavelength sensitivity of 41,500&#xa0;nm/RIU and a resolution of 2.41 × 10<sup>–6</sup> RIU across an extended RI range of 1.32–1.42. Crucially, the sensor exhibits exceptional fabrication tolerance. Even with variations in circular air hole diameters, the resonance wavelengths remain stable. Operating within the near-infrared spectrum (1119–1650&#xa0;nm), this highly sensitive and robust platform holds significant promise for applications in biochemical sensing, healthcare diagnostics, and environmental monitoring.</p>

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Highly sensitive D-shaped photonic crystal fiber surface plasmon resonance sensor based on two symmetric semi-elliptical grooves

  • Yukun Zhu,
  • Yu Zhang,
  • Honggang Pan,
  • Bin Li,
  • Qingcheng You,
  • Zihong Zhao,
  • Yichen Li,
  • Yiqian Dai

摘要

In this paper, we propose a novel D-shaped photonic crystal fiber surface plasmon resonance sensor featuring two symmetric semi-elliptical grooves etched into its flat surface. This innovative structural design significantly enhances the sensor’s sensitivity and broadens its refractive index (RI) detection range. Comprehensive numerical analysis via the finite element method demonstrates that the optimized sensor achieves a remarkable maximum wavelength sensitivity of 41,500 nm/RIU and a resolution of 2.41 × 10–6 RIU across an extended RI range of 1.32–1.42. Crucially, the sensor exhibits exceptional fabrication tolerance. Even with variations in circular air hole diameters, the resonance wavelengths remain stable. Operating within the near-infrared spectrum (1119–1650 nm), this highly sensitive and robust platform holds significant promise for applications in biochemical sensing, healthcare diagnostics, and environmental monitoring.