Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors

Heejin Yang; Wonju Lee; Taewon Hwang; Donghyun Kim

doi:10.1117/12.2189429

8 July 2015 Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors

Heejin Yang, Wonju Lee, Taewon Hwang, Donghyun Kim

Proceedings Volume 9523, International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015; 95230L (2015) https://doi.org/10.1117/12.2189429
Event: International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, 2015, Jeju, Korea, Republic of

Abstract

We analyze sensing performances of localized surface plasmon resonance biosensors based on the overlap between target distribution and local field intensity produced by silver nanoislands in three detection models of non-specific, non-colocalized, and colocalized detection. The behavior of biomolecules was modeled to follow a probabilistic model using Poisson distribution. The results have found that the colocalized detection achieves the highest overlap signature with the smallest uncertainty and can enhance the limit of detection by more than 10000 times compared to conventional non-specific detection.

Citation Download Citation

Heejin Yang, Wonju Lee, Taewon Hwang, and Donghyun Kim "Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors", Proc. SPIE 9523, International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, 95230L (8 July 2015); https://doi.org/10.1117/12.2189429

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