Paper
24 April 2018 Sensitivity enhancement of surface plasmon resonance imaging sensor with structural parameter optimization based on polarization contrast modulation
Yi Sun, Ya Gao, Tingting Yang, Xu Ma, Xiaoping Wang
Author Affiliations +
Abstract
Abstracts A method, based on particle swarm optimization (PSO) and finite-difference time-domain (FDTD) simulation, is proposed to optimize micro-well structural parameter of SPRi sensor with polarization contrast modulation. According to PSO algorithm, these six structural parameters are optimized. Following that, the electromagnetic field characteristics of the gold micro-well structure involving the background gold film thickness are simulated and optimized by FDTD. It is proved that the sensitivity of the optimized structure is four times higher than the traditional one, which shows the practicability of the home-built SPRi sensor, in addition, as a result of the high signal-to-noise ratio, the refractive index resolution of the sensor is two order of the magnitude lower. Besides that, optimization algorithm provides a new way for other SPR sensor optimization.
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Yi Sun, Ya Gao, Tingting Yang, Xu Ma, and Xiaoping Wang "Sensitivity enhancement of surface plasmon resonance imaging sensor with structural parameter optimization based on polarization contrast modulation", Proc. SPIE 10712, Optical Manipulation Conference, 107121D (24 April 2018); https://doi.org/10.1117/12.2318588
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KEYWORDS
Gold

Polarization

Sensors

Particle swarm optimization

Modulation

Surface plasmons

Refractive index

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