A Sensitivity Model for Predicting Photonic Crystal Biosensor Performance

Ian D. Block; Nikhil Ganesh; Meng Lu; Brian T. Cunningham

doi:10.1109/JSEN.2008.917127

A Sensitivity Model for Predicting Photonic Crystal Biosensor Performance

Ian D. Block, Nikhil Ganesh, Meng Lu, Brian T. Cunningham

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

Abstract

We present a model for predicting photonic crystal label-free biosensor performance based primarily on the spatial distribution of electromagnetic near fields at device resonance. To achieve maximum device sensitivity, the resonant fields can be shaped by careful choice of material and geometrical parameters. The effect of each property on the resonant mode profile, and consequently on sensor performance, is illustrated. A comparison of device sensitivity calculated by both the proposed model and direct rigorous coupled wave analysis simulation supports the validity of our model.

Original language	English (US)
Pages (from-to)	274-280
Number of pages	7
Journal	IEEE Sensors Journal
Volume	8
Issue number	3
DOIs	https://doi.org/10.1109/JSEN.2008.917127
State	Published - Mar 2008

Keywords

Biomedical transducers
optical resonance

ASJC Scopus subject areas

Instrumentation
Electrical and Electronic Engineering

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10.1109/JSEN.2008.917127

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title = "A Sensitivity Model for Predicting Photonic Crystal Biosensor Performance",

abstract = "We present a model for predicting photonic crystal label-free biosensor performance based primarily on the spatial distribution of electromagnetic near fields at device resonance. To achieve maximum device sensitivity, the resonant fields can be shaped by careful choice of material and geometrical parameters. The effect of each property on the resonant mode profile, and consequently on sensor performance, is illustrated. A comparison of device sensitivity calculated by both the proposed model and direct rigorous coupled wave analysis simulation supports the validity of our model.",

keywords = "Biomedical transducers, optical resonance",

author = "Block, {Ian D.} and Nikhil Ganesh and Meng Lu and Cunningham, {Brian T.}",

note = "Funding Information: Manuscript received September 10, 2007; revised November 11, 2007; accepted November 8, 2007. This work was supported in part by the National Science Foundation under Grant BES 04-27657 and in part by SRU Biosystems. The associate editor coordinating the review of this paper and approving it for publication was Dr. Andreas Hierlemann.",

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doi = "10.1109/JSEN.2008.917127",

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AU - Block, Ian D.

AU - Ganesh, Nikhil

AU - Lu, Meng

AU - Cunningham, Brian T.

N1 - Funding Information: Manuscript received September 10, 2007; revised November 11, 2007; accepted November 8, 2007. This work was supported in part by the National Science Foundation under Grant BES 04-27657 and in part by SRU Biosystems. The associate editor coordinating the review of this paper and approving it for publication was Dr. Andreas Hierlemann.

PY - 2008/3

Y1 - 2008/3

N2 - We present a model for predicting photonic crystal label-free biosensor performance based primarily on the spatial distribution of electromagnetic near fields at device resonance. To achieve maximum device sensitivity, the resonant fields can be shaped by careful choice of material and geometrical parameters. The effect of each property on the resonant mode profile, and consequently on sensor performance, is illustrated. A comparison of device sensitivity calculated by both the proposed model and direct rigorous coupled wave analysis simulation supports the validity of our model.

AB - We present a model for predicting photonic crystal label-free biosensor performance based primarily on the spatial distribution of electromagnetic near fields at device resonance. To achieve maximum device sensitivity, the resonant fields can be shaped by careful choice of material and geometrical parameters. The effect of each property on the resonant mode profile, and consequently on sensor performance, is illustrated. A comparison of device sensitivity calculated by both the proposed model and direct rigorous coupled wave analysis simulation supports the validity of our model.

KW - Biomedical transducers

KW - optical resonance

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A Sensitivity Model for Predicting Photonic Crystal Biosensor Performance

Abstract

Keywords

ASJC Scopus subject areas

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