Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors

Heejin Yang; Wonju Lee; Taewon Hwang; Donghyun Kim

doi:10.1117/12.2189429

Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors

Heejin Yang, Wonju Lee, Taewon Hwang, Donghyun Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, NBSIS 2015
Editors	Donghyun Kim, Min-Gon Kim, Seung-Han Park
Publisher	SPIE
ISBN (Electronic)	9781628416794
DOIs	https://doi.org/10.1117/12.2189429
Publication status	Published - 2015
Event	2nd International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy, NBSIS 2015 - Jeju, Korea, Republic of Duration: 2015 Feb 25 → 2015 Feb 27

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	9523
ISSN (Print)	1605-7422

Other

Other	2nd International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy, NBSIS 2015
Country/Territory	Korea, Republic of
City	Jeju
Period	15/2/25 → 15/2/27

Bibliographical note

Publisher Copyright:
© 2015 SPIE.

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Biomaterials
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.2189429

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Yang, H., Lee, W., Hwang, T., & Kim, D. (2015). Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors. In D. Kim, M-G. Kim, & S-H. Park (Eds.), International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, NBSIS 2015 Article 95230L (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9523). SPIE. https://doi.org/10.1117/12.2189429

Yang, Heejin ; Lee, Wonju ; Hwang, Taewon et al. / Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors. International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, NBSIS 2015. editor / Donghyun Kim ; Min-Gon Kim ; Seung-Han Park. SPIE, 2015. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

@inproceedings{22734cdfc7674da9897aa6686fab4ed8,

title = "Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors",

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.",

author = "Heejin Yang and Wonju Lee and Taewon Hwang and Donghyun Kim",

note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; 2nd International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy, NBSIS 2015 ; Conference date: 25-02-2015 Through 27-02-2015",

year = "2015",

doi = "10.1117/12.2189429",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Donghyun Kim and Min-Gon Kim and Seung-Han Park",

booktitle = "International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, NBSIS 2015",

address = "United States",

}

Yang, H, Lee, W, Hwang, T & Kim, D 2015, Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors. in D Kim, M-G Kim & S-H Park (eds), International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, NBSIS 2015., 95230L, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 9523, SPIE, 2nd International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy, NBSIS 2015, Jeju, Korea, Republic of, 15/2/25. https://doi.org/10.1117/12.2189429

Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors. / Yang, Heejin; Lee, Wonju; Hwang, Taewon et al.
International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, NBSIS 2015. ed. / Donghyun Kim; Min-Gon Kim; Seung-Han Park. SPIE, 2015. 95230L (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9523).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors

AU - Yang, Heejin

AU - Lee, Wonju

AU - Hwang, Taewon

AU - Kim, Donghyun

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

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DO - 10.1117/12.2189429

M3 - Conference contribution

AN - SCOPUS:84938702018

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2015, NBSIS 2015

A2 - Kim, Donghyun

A2 - Kim, Min-Gon

A2 - Park, Seung-Han

PB - SPIE

T2 - 2nd International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy, NBSIS 2015

Y2 - 25 February 2015 through 27 February 2015

ER -

Probabilistic approach for sensing performances of localized surface plasmon resonance biosensors

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