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Related Experiment Video

Updated: Feb 13, 2026

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
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Power-flow-based design strategy for Bloch surface wave biosensors.

I Degli-Eredi, J E Sipe, N Vermeulen

    Optics Letters
    |March 1, 2018
    PubMed
    Summary

    This study introduces a new semi-analytic method for designing dielectric multilayer biosensors. The approach optimizes sensor performance by relating angular sensitivity to Bloch surface wave power flow, avoiding complex simulations.

    Area of Science:

    • Photonics
    • Biosensing
    • Materials Science

    Background:

    • Dielectric multilayer structures are crucial for biosensing applications.
    • Bloch surface waves (BSWs) offer high sensitivity for detecting analytes.
    • Current design strategies often require extensive numerical simulations.

    Purpose of the Study:

    • To develop a novel semi-analytic design strategy for one-dimensional dielectric multilayer biosensors.
    • To establish a relationship between angular sensitivity and optical power flow of BSWs.
    • To optimize biosensor sensitivity and figure-of-merit efficiently.

    Main Methods:

    • Utilizing a semi-analytic approach based on the optical power flow of BSWs.
    • Establishing a direct correlation between angular sensitivity and BSW power flow.

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  • Applying the derived relationship for design optimization.

    • Main Results:

    • A novel design strategy for dielectric multilayer biosensors is proposed.
    • The strategy effectively optimizes both sensor sensitivity and figure-of-merit.
    • The method eliminates the need for computationally intensive numerical parameter sweeps.

    Conclusions:

    • The developed semi-analytic strategy provides an efficient pathway for designing high-performance dielectric multilayer biosensors.
    • This approach simplifies the optimization process for BSW-based sensing devices.
    • The findings contribute to advancing the design of sensitive and efficient biosensing platforms.