In this paper, we discussed the method for optimization of
fiber-optic surface plasmon resonance (SPR) sensor and the
effect of optimized parameters by analysis of the transmission spectrum of waveguide-based SPR sensors. Because of
their high sensitivity, the SPR sensors can be used in a lot of chemical and biological studies, but it is difficult to perform
a theoretical analysis of an SPR fiber sensor. Therefore, for the design and analysis of the sensor responses, a fiber-optic
SPR sensor can be optimized numerically by adjusting parameters such as the thickness of metal layers and the grating
period, etc. We simulated and optimized parameters by employing the method of the rigorous coupled wave analysis and
the genetic algorithm. Also we discussed the methods for improving sensing capability.
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