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On-chip biochemical sensor using wide Gaussian beams in silicon waveguide-integrated plasmonic crystal
Optics Letters
|April 15, 2020
Summary
This study presents a novel on-chip biochemical sensor using a nanogap tile (NGT) array for enhanced detection. The plasmonic crystal sensor achieves high sensitivity for biochemical sensing applications.
Area of Science:
- Nanophotonics and Plasmonics
- Biochemical Sensing
- Integrated Optics
Background:
- Surface plasmon resonance (SPR) sensors are crucial for biochemical detection.
- Existing SPR sensors often face limitations in integration and sensing area.
- Nanoscale engineering offers new avenues for enhanced sensor performance.
Purpose of the Study:
- To develop and demonstrate an on-chip biochemical sensor utilizing a waveguide-integrated plasmonic crystal.
- To achieve a large sensing area with low insertion loss for practical applications.
- To evaluate the sensitivity and functionalization capabilities of the proposed sensor design.
Main Methods:
- Fabrication of a two-dimensional nanogap tile (NGT) array integrated with waveguides.
- Utilizing on-chip optical lenses to launch an ultra-wide collimated Gaussian beam.
- Numerical simulations and experimental validation of optical field enhancement and stop-band shift.
- Demonstration of sensor functionalization with monolayer thiol molecules.
Main Results:
- Successful realization of an on-chip waveguide-integrated plasmonic crystal sensor.
- Achieved ultra-wide beam coupling with surface plasmonic crystals and low insertion loss.
- Demonstrated optical field enhancement and stop-band shift for biochemical sensing.
- Obtained a high sensitivity of approximately 260 nm/RIU.
- Confirmed functionalization capability with thiol molecules, analogous to bulk SPR sensors.
Conclusions:
- The developed NGT-based on-chip sensor offers a promising platform for sensitive biochemical detection.
- The sensor design enables a large sensing area and efficient light coupling.
- The demonstrated sensitivity and functionalization potential highlight its applicability in various biochemical sensing scenarios.

