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

Research output: Contribution to journal › Article › peer-review

33 Scopus citations

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.

Original language	English
Pages (from-to)	1197-1203
Number of pages	7
Journal	Sensors and Actuators, B: Chemical
Volume	176
DOIs	https://doi.org/10.1016/j.snb.2012.02.014
State	Published - 2013

Keywords

Bulk sensitivity
Guided mode resonance device
Optical biosensors
Waveguide

Access to Document

10.1016/j.snb.2012.02.014

Cite this

@article{cf9ff702d02d4c36be47c9762a331fa0,

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. ",

year = "2013",

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

language = "???core.languages.en_GB???",

volume = "176",

pages = "1197--1203",

journal = "Sensors and Actuators, B: Chemical",

issn = "0925-4005",

}

TY - JOUR

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

UR - http://www.scopus.com/inward/record.url?scp=84875413812&partnerID=8YFLogxK

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

Abstract

Keywords

Access to Document

Fingerprint

Cite this