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Optimization of angularly resolved Bloch surface wave biosensors.

Riccardo Rizzo, Norbert Danz, Francesco Michelotti

|October 17, 2014

Summary

This summary is machine-generated.

Bloch surface wave (BSW) sensors offer tunable resonance properties for biochemical analytics, outperforming surface plasmon resonance (SPR) sensors. Optimized BSW sensor design yields a lower limit of detection for enhanced biosensing applications.

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Area of Science:

Optoelectronics
Nanotechnology
Biomedical Engineering

Background:

Bloch surface waves (BSW) are guided electromagnetic waves at dielectric interfaces, offering design flexibility for sensing applications.
Surface plasmon resonance (SPR) is a widely used label-free detection technique in biochemical analytics.
Comparing BSW and SPR sensors is crucial for advancing biosensing technologies.

Purpose of the Study:

To evaluate Bloch surface wave (BSW) sensors in angularly resolved detection mode for biochemical analytics.
To compare the performance of BSW sensors with traditional surface plasmon resonance (SPR) sensors.
To optimize BSW sensor design for enhanced sensitivity and a lower limit of detection.

Main Methods:

Numerical modeling to deduce measurement uncertainty based on resonance width and depth.
Design and simulation of a BSW-supporting dielectric thin film stack.
Comparison of BSW sensor performance with a gold thin film for SPR sensing.

Main Results:

BSW sensors offer significant design freedom for tuning resonance properties.
Optimized BSW sensor design achieved maximum sensitivity with resonance near the TIR critical angle.
Very narrow resonance widths in BSW sensors necessitate sufficient sampling and are limited by surface wave propagation length.

Conclusions:

BSW sensors present a promising alternative to SPR sensors for biochemical analytics due to their tunable properties and design flexibility.
Optimized BSW sensor design can lead to a lower limit of detection, improving biosensing capabilities.
Further research into BSW sensor design and sampling methods is warranted to overcome performance limitations.