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High-Q guided mode resonance sensors based on shallow sub-wavelength grating structures
Yi Zhou1, Zhihe Guo1, Wenjie Zhou1
1Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Department of Optical Science and Engineering, Shanghai Engineering Research Center of Ultra Precision Optical Manufacturing, Fudan University, Shanghai 200433, People's Republic of China.
Nanotechnology
|April 25, 2020
Summary
Researchers enhanced guided-mode resonance (GMR) sensors using shallow subwavelength gratings, achieving a record Q factor of 8000. This breakthrough enables highly sensitive biosensing with potential for industrial applications.
Area of Science:
- Optics and Photonics
- Nanotechnology
- Biosensing
Background:
- Guided-mode resonance (GMR) sensors offer label-free detection but are often limited by low quality (Q) factors.
- Enhancing GMR sensor Q factors is crucial for improving sensitivity and detection limits in various applications.
Purpose of the Study:
- To systematically investigate methods for enhancing the Q factors of GMR sensors.
- To demonstrate a GMR sensor with significantly improved Q factor and high sensitivity.
Main Methods:
- Utilized shallow subwavelength grating structures to design GMR sensors.
- Employed a coupled-mode model to theoretically predict and optimize geometric structures for high Q factors.
- Experimentally fabricated and characterized the GMR sensor.
Main Results:
- Achieved a record experimental Q factor of up to 8000 for the GMR sensor.
- The demonstrated Q factor is an order of magnitude higher than typical GMR sensors (100–300).
- Attained a bulk sensitivity of 135 nm RIU⁻¹ and a detection limit of 1 ng ml⁻¹ for bovine serum albumin (BSA).
Conclusions:
- Shallow subwavelength gratings and coupled-mode modeling effectively enhance GMR sensor Q factors.
- The high-performance GMR sensor demonstrates significant potential for industrial mass production and diverse applications.
- This advancement opens avenues for improved optical filters, spectrometers, and bio-imaging techniques.

