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Photonic Crystal Fiber-Based Reconfigurable Biosensor Using Phase Change Material.

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    This study introduces a novel photonic crystal fiber biosensor using phase-change material for tunable, label-free detection of biomolecules. The sensor achieves high sensitivity and selectivity by altering the material

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    Area of Science:

    • Photonics and Biosensing
    • Materials Science
    • Nanotechnology

    Background:

    • Label-free biosensing requires high selectivity and sensitivity for biomolecule detection.
    • Photonic crystal fibers (PCFs) offer a versatile platform for optical sensing applications.
    • Phase-change materials provide tunable optical properties for advanced sensor design.

    Purpose of the Study:

    • To propose and numerically demonstrate a reconfigurable biosensor based on a phase-change chalcogenide material (Ge2Sb2Te5) integrated with a D-shaped PCF.
    • To achieve tunable and enhanced refractive index (RI) sensing at near-infrared (NIR) wavelengths.
    • To explore the potential for selective detection of various biomolecules.

    Main Methods:

    • Integration of a hybrid sensing layer (Au/Ge2Sb2Te5) with a D-shaped PCF.
    • Utilizing the phase transition of Ge2Sb2Te5 (amorphous to crystalline) to tune sensor properties.
    • Numerical simulation to analyze RI sensing performance and figure of merit (FOM).

    Main Results:

    • Demonstrated tunable RI sensing with a large FOM in the range of 1.35–1.40.
    • Achieved high bulk RI sensitivity: 17,600 nm/RIU (crystalline phase) and 8,000 nm/RIU (amorphous phase).
    • Observed a large tunable differential response suitable for detecting diverse analytes like proteins, cells, glucose, and nucleic acids.

    Conclusions:

    • The Ge2Sb2Te5-based PCF sensor offers a promising platform for reconfigurable, label-free biosensing.
    • The tunable spectral sensitivity enables enhanced selectivity and sensitivity for a wide range of biomolecules.
    • Future applications include AI-based assays for differential detection of biomolecules based on molecular weight.