A model for fast predicting and optimizing the sensitivity of surface-relief guided mode resonance sensors

Sheng Fu Lin; Chih Ming Wang; Ya Lun Tsai; Ting Jou Ding; Tsung Hsun Yang; Wen Yih Chen; Song Feng Yeh; Jenq Yang Chang

doi:10.1016/j.snb.2012.02.014

A model for fast predicting and optimizing the sensitivity of surface-relief guided mode resonance sensors

Sheng Fu Lin, Chih Ming Wang, Ya Lun Tsai, Ting Jou Ding, Tsung Hsun Yang, Wen Yih Chen, Song Feng Yeh, Jenq Yang Chang

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

31 引文斯高帕斯（Scopus）

摘要

A modified waveguide model for predicting the sensitivity of surface-relief guided mode resonance (GMR) biosensors is presented. The proposed model is a convenient and fast calculation method compared to the current optical simulation tools such as the rigorous couple wave analysis (RCWA). A systematic and theoretical discussion of the GMR geometric structure and sensitivity of the modified model for biosensing is also presented. For a given GMR material, the theoretical maximum sensitivity can be achieved by choosing the proper geometric structure from the model simulations. A comparison of the GMR biosensor sensitivity respectively calculated by the model and the RCWA method shows good agreement. Finally, a suspending GMR structure with a 4.5-fold increase in sensitivity compared to the traditional surface-relief GMR is proposed.

原文	???core.languages.en_GB???
頁（從 - 到）	1197-1203
頁數	7
期刊	Sensors and Actuators, B: Chemical
卷	176
DOIs	https://doi.org/10.1016/j.snb.2012.02.014
出版狀態	已出版 - 2013

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10.1016/j.snb.2012.02.014

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title = "A model for fast predicting and optimizing the sensitivity of surface-relief guided mode resonance sensors",

abstract = "A modified waveguide model for predicting the sensitivity of surface-relief guided mode resonance (GMR) biosensors is presented. The proposed model is a convenient and fast calculation method compared to the current optical simulation tools such as the rigorous couple wave analysis (RCWA). A systematic and theoretical discussion of the GMR geometric structure and sensitivity of the modified model for biosensing is also presented. For a given GMR material, the theoretical maximum sensitivity can be achieved by choosing the proper geometric structure from the model simulations. A comparison of the GMR biosensor sensitivity respectively calculated by the model and the RCWA method shows good agreement. Finally, a suspending GMR structure with a 4.5-fold increase in sensitivity compared to the traditional surface-relief GMR is proposed.",

keywords = "Bulk sensitivity, Guided mode resonance device, Optical biosensors, Waveguide",

author = "Lin, {Sheng Fu} and Wang, {Chih Ming} and Tsai, {Ya Lun} and Ding, {Ting Jou} and Yang, {Tsung Hsun} and Chen, {Wen Yih} and Yeh, {Song Feng} and Chang, {Jenq Yang}",

note = "Funding Information: The authors are grateful for the financial support of this research received from the National Science Council of Taiwan, ROC under grant number NSC 98-2221-E-008-016-MY2 . Financial support from NSC to the Center for Dynamical Biomarkers and Translational Medicine (NSC 100-2911-I-008-001) is also acknowledged. ",

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doi = "10.1016/j.snb.2012.02.014",

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volume = "176",

pages = "1197--1203",

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T1 - A model for fast predicting and optimizing the sensitivity of surface-relief guided mode resonance sensors

AU - Lin, Sheng Fu

AU - Wang, Chih Ming

AU - Tsai, Ya Lun

AU - Ding, Ting Jou

AU - Yang, Tsung Hsun

AU - Chen, Wen Yih

AU - Yeh, Song Feng

AU - Chang, Jenq Yang

N1 - Funding Information: The authors are grateful for the financial support of this research received from the National Science Council of Taiwan, ROC under grant number NSC 98-2221-E-008-016-MY2 . Financial support from NSC to the Center for Dynamical Biomarkers and Translational Medicine (NSC 100-2911-I-008-001) is also acknowledged.

PY - 2013

Y1 - 2013

N2 - A modified waveguide model for predicting the sensitivity of surface-relief guided mode resonance (GMR) biosensors is presented. The proposed model is a convenient and fast calculation method compared to the current optical simulation tools such as the rigorous couple wave analysis (RCWA). A systematic and theoretical discussion of the GMR geometric structure and sensitivity of the modified model for biosensing is also presented. For a given GMR material, the theoretical maximum sensitivity can be achieved by choosing the proper geometric structure from the model simulations. A comparison of the GMR biosensor sensitivity respectively calculated by the model and the RCWA method shows good agreement. Finally, a suspending GMR structure with a 4.5-fold increase in sensitivity compared to the traditional surface-relief GMR is proposed.

AB - A modified waveguide model for predicting the sensitivity of surface-relief guided mode resonance (GMR) biosensors is presented. The proposed model is a convenient and fast calculation method compared to the current optical simulation tools such as the rigorous couple wave analysis (RCWA). A systematic and theoretical discussion of the GMR geometric structure and sensitivity of the modified model for biosensing is also presented. For a given GMR material, the theoretical maximum sensitivity can be achieved by choosing the proper geometric structure from the model simulations. A comparison of the GMR biosensor sensitivity respectively calculated by the model and the RCWA method shows good agreement. Finally, a suspending GMR structure with a 4.5-fold increase in sensitivity compared to the traditional surface-relief GMR is proposed.

KW - Bulk sensitivity

KW - Guided mode resonance device

KW - Optical biosensors

KW - Waveguide

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U2 - 10.1016/j.snb.2012.02.014

DO - 10.1016/j.snb.2012.02.014

M3 - 期刊論文

AN - SCOPUS:84875413812

SN - 0925-4005

VL - 176

SP - 1197

EP - 1203

JO - Sensors and Actuators, B: Chemical

JF - Sensors and Actuators, B: Chemical

ER -

A model for fast predicting and optimizing the sensitivity of surface-relief guided mode resonance sensors

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