Title :
A Sensitivity Model for Predicting Photonic Crystal Biosensor Performance
Author :
Block, Ian D. ; Ganesh, Nikhil ; Lu, Meng ; Cunningham, Brian T.
Author_Institution :
Univ. of Illinois Urbana-Champaign, Urbana
fDate :
3/1/2008 12:00:00 AM
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 :
adsorbed layers; biosensors; optical resonators; optical sensors; photonic crystals; sensitivity analysis; biomedical transducers; direct rigorous coupled wave analysis simulation; geometrical parameters; material parameters; optical resonance; photonic crystal biosensor performance; resonant fields; resonant mode profile; sensitivity model; spatial electromagnetic near-field distribution; Biological materials; Biosensors; Coupled mode analysis; Crystalline materials; Electromagnetic devices; Electromagnetic fields; Electromagnetic modeling; Photonic crystals; Predictive models; Resonance; Biomedical transducers; optical resonance;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2008.917127