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Silicon nanowire based angle robust ultrasensitive hyperbolic metamaterial biosensor.

Badhan Golder1, Zahidul Salman1, Rony Das1

  • 1Department of Electrical and Electronic Engineering, Shahjalal University of Science and Technology Sylhet-3114 Bangladesh arif-eee@sust.edu.

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This study introduces an angle-robust hyperbolic metamaterial biosensor using silicon nanowires for ultra-sensitive virus detection. It achieves high sensitivity and an unprecedented limit of detection for dengue virus NS1 protein.

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Area of Science:

  • * Nanophotonics and Metamaterials
  • * Biosensing and Nanotechnology
  • * Condensed Matter Physics

Background:

  • * Metamaterials offer unique electromagnetic properties not found in nature.
  • * Biosensors are crucial for early disease detection.
  • * Developing angle-insensitive biosensors enhances practical applications.

Purpose of the Study:

  • * To design and analyze an angle-robust hyperbolic metamaterial biosensor.
  • * To investigate its performance for label-free virus detection.
  • * To achieve ultra-high sensitivity and a low limit of detection.

Main Methods:

  • * Finite-Difference Time-Domain (FDTD) method for resonance shift analysis.
  • * Effective Medium Theory (EMT) for hyperbolic property examination.
  • * Transfer Matrix Method (TMM) for theoretical verification.
  • * Analysis of dispersion relation for sensitivity optimization.

Main Results:

  • * Demonstrated perfect reflectance shift and extreme anisotropic properties at NIR wavelengths.
  • * Achieved angle-insensitivity due to hyperbolic dispersion relation.
  • * Exhibited high sensitivity (14 nm/NS1 protein) and mass sensitivity (0.192 nm kDa⁻¹).
  • * Reached an unprecedented limit of detection (LOD) of 0.691 pM for dengue NS1 protein.

Conclusions:

  • * The proposed n-doped silicon nanowire hyperbolic metamaterial biosensor is angle-robust.
  • * It enables ultra-sensitive, label-free detection of viruses like dengue.
  • * The design holds potential for detecting various nanoscale biological targets.