NDLI: Comparison of performance parameters for conventional and localized surface plasmon resonance graphene biosensors

Content Provider	IEEE Xplore Digital Library
Author	Islam, M.S. Kouzani, A.Z. Dai, X.J. Michalski, W.P. Gholamhosseini, H.
Copyright Year	2011
Description	Author affiliation: Australian Animal Health Laboratory, CSIRO Livestock Industries, Geelong, Victoria 3220, Australia (Michalski, W.P.) \|\| School of Engineering, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand (Gholamhosseini, H.) \|\| School of Engineering, Deakin University, Geelong, Victoria 3217, Australia (Islam, M.S.; Kouzani, A.Z.) \|\| Institute for Technology Research and Innovation, Deakin University, Geelong, Victoria 3217, Australia (Dai, X.J.)
Abstract	This paper investigates the enhancement of the sensitivity and adsorption efficiency of a localized surface plasmon resonance (LSPR) biosensor that includes a layer of graphene sheet on top of the gold layer. For this purpose, biomolecular interactions of biotin-streptavidin with the graphene layer on the gold thin film are monitored. The performance of the LSPR graphene biosensor is theoretically and numerically assessed in terms of sensitivity and adsorption efficiency under varying conditions, including the thickness of biomolecule layer, number of graphene layers and operating wavelength. Enhanced sensitivity and improved adsorption efficiency are obtained for the LSPR graphene biosensor in comparison with its conventional counterpart. It is found that the LSPR graphene biosensor has better sensitivity with lower operating wavelength and larger number of graphene layers.
Starting Page	1851
Ending Page	1854
File Size	520937
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6090526
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biosensors Sensitivity Plasmons Optical surface waves Gold Surface waves Surface impedance
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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