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<p>Photonic crystal biosensors have emerged as promising platforms for label-free biological detection owing to their superior optical properties and high sensing capability. This work presents a theoretical study of a defect-engineered ternary one-dimensional photonic crystal biosensor designed for enhanced refractive index sensing. The proposed structure consists of alternating Silicon (Si), silicon dioxide (SiO₂), and zinc sulfide (ZnS) layers of materials surrounding a central defect cavity that serves as the sensing region. The defect layer introduces a sharp resonant mode within the photonic band gap, whose wavelength shifts in response to variations in analyte refractive index. Numerical simulations based on the Transfer Matrix Method reveal a high sensitivity of 1154.28&#xa0;nm/RIU and a quality factor of 1486, demonstrating the potential of the proposed sensor for advanced biosensing applications.</p>

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Advanced defect-engineered ternary photonic crystal materials based biosensors for enhanced refractive index sensing

  • 期刊论文

  • 发表日期：

    2026年8月4日

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  • Sanjeev Sharma,
  • Sanjay Sharma,
  • Rajesh Kumar Tewari,
  • Prakash Ranjan Deen,
  • Sanjay Kumar Tiwari,
  • Sri Krishna Singh

摘要

Photonic crystal biosensors have emerged as promising platforms for label-free biological detection owing to their superior optical properties and high sensing capability. This work presents a theoretical study of a defect-engineered ternary one-dimensional photonic crystal biosensor designed for enhanced refractive index sensing. The proposed structure consists of alternating Silicon (Si), silicon dioxide (SiO₂), and zinc sulfide (ZnS) layers of materials surrounding a central defect cavity that serves as the sensing region. The defect layer introduces a sharp resonant mode within the photonic band gap, whose wavelength shifts in response to variations in analyte refractive index. Numerical simulations based on the Transfer Matrix Method reveal a high sensitivity of 1154.28 nm/RIU and a quality factor of 1486, demonstrating the potential of the proposed sensor for advanced biosensing applications.