NDLI: Performance Analysis of Si Nanowire Biosensor by Numerical Modeling for Charge Sensing

Content Provider	IEEE Xplore Digital Library
Author	Xinrong Yang Frensley, W.R. Dian Zhou Wenchuang Hu
Copyright Year	2002
Abstract	A numerical study on the operation of Si nanowire (NW) biosensors in charge-based sensing is presented. The simulation is built on physical models that, upon numerical convergence, coherently account for Fermi-Dirac, Poisson-Boltzman, site-binding and Gouy-Chapman-Stern theories in self-consistent manner. The method enables us to disentangle the impact of key design and experimental setup factors and assess their contribution to the sensitivity, linearity, and stability of such sensors. Our results quantitatively show SiNW sensor is significantly more stable when biased through solution gate than back gate; dense functional group at oxide surface and good SAM coverage are essential to linear and sensitive detection of uniformly distributed targets; compared to high concentration target detection, the effect of NW surface-to-volume ratio (S/V ) plays a more profound role in biomolecule detection when targets are at very low concentration, in which case, optimal S/V exists for a maximum sensitivity. Arbitrary down scaling beyond such S/V point may have reverse effect on sensor sensitivity.
Sponsorship	IEEE Nanotechnology Council
Starting Page	501
Ending Page	512
Page Count	12
File Size	1162747
File Format	PDF
ISSN	1536125X
Volume Number	11
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Logic gates Electric potential Silicon Substrates Electrostatics Biological system modeling SiNW Biosensor modeling simulation SiNR
Content Type	Text
Resource Type	Article
Subject	Nanoscience and Nanotechnology Electrical and Electronic Engineering Computer Science Applications

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