<p>This research presents a surface plasmon resonance (SPR) sensor based on photonic crystal fiber (PCF), specifically designed for the detection of diabetes. Gold is used as the plasmonic material in a layered configuration to enhance sensor performance. The proposed design is analyzed using the finite element method (FEM) to assess its capability in identifying diabetes-related variations. The PCF structure features two rings of air holes organized in a hexagonal pattern, with a thin layer of gold plating applied to enable SPR excitation. SPR occurs when the surface plasmon polariton (SPP) mode and the fundamental core mode interact under phase-matching conditions. Diabetes-specific samples, characterized by distinct refractive indices (RI), are filled into the fiber. Variations in RI cause shifts in the SPR resonance wavelength observed through confinement loss analysis. The resonance shift between normal and diabetic samples reflects their differing RI values. The sensor attains a sensitivity of 2400&#xa0;nm/RIU, based on these spectral shifts. With its straightforward sensing mechanism, the proposed PCF-based SPR sensor offers a practical, economical approach to diabetes diagnosis.</p>

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Design of photonic crystal fiber-based plasmonic sensor for diabetes detection

  • Vishal Chaudhary,
  • Sonal Singh

摘要

This research presents a surface plasmon resonance (SPR) sensor based on photonic crystal fiber (PCF), specifically designed for the detection of diabetes. Gold is used as the plasmonic material in a layered configuration to enhance sensor performance. The proposed design is analyzed using the finite element method (FEM) to assess its capability in identifying diabetes-related variations. The PCF structure features two rings of air holes organized in a hexagonal pattern, with a thin layer of gold plating applied to enable SPR excitation. SPR occurs when the surface plasmon polariton (SPP) mode and the fundamental core mode interact under phase-matching conditions. Diabetes-specific samples, characterized by distinct refractive indices (RI), are filled into the fiber. Variations in RI cause shifts in the SPR resonance wavelength observed through confinement loss analysis. The resonance shift between normal and diabetic samples reflects their differing RI values. The sensor attains a sensitivity of 2400 nm/RIU, based on these spectral shifts. With its straightforward sensing mechanism, the proposed PCF-based SPR sensor offers a practical, economical approach to diabetes diagnosis.