Theoretical comparison of sensitivity enhancement of various metals based nearly guided wave surface plasmon resonance biosensors designed by genetic algorithm

Zhining Lin; Shujing Chen; Chengyou Lin

doi:10.1117/12.2540607

18 December 2019 Theoretical comparison of sensitivity enhancement of various metals based nearly guided wave surface plasmon resonance biosensors designed by genetic algorithm

Zhining Lin, Shujing Chen, Chengyou Lin

Author Affiliations +

Proceedings Volume 11336, AOPC 2019: Nanophotonics; 1133605 (2019) https://doi.org/10.1117/12.2540607
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

Abstract

In this paper, the comparative study of sensitivity of NGWSPR biosensor with Au, Ag, Cu and Al is presented. To achieve high sensitivity, the thickness of each layer in the proposed biosensor is optimized using genetic algorithm (GA). A constraint condition of reflectivity at resonance angle is used in the merit function (MF) of GA to realize large depth of dip. Using this method, NGWSPR biosensors with Au, Ag, Cu and Al are designed and analyzed. The sensitivity of designed Ag based NGWSPR biosensor is up to 289 °/RIU when using TiO₂ as the dielectric, which is 31.83%, 24.91% or 61.94% higher than the sensitivity of designed Au, Cu or Al based one. We believe our work is important because it compares the largest sensitivities of NGWSPR biosensors with different metals, and be helpful for highly sensitive biosensors development.

Citation Download Citation

Zhining Lin, Shujing Chen, and Chengyou Lin "Theoretical comparison of sensitivity enhancement of various metals based nearly guided wave surface plasmon resonance biosensors designed by genetic algorithm", Proc. SPIE 11336, AOPC 2019: Nanophotonics, 1133605 (18 December 2019); https://doi.org/10.1117/12.2540607

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KEYWORDS

Biosensors

Silver

Gold

Copper

Metals

Aluminum

Graphene

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