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

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 m...

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Bibliographic Details
Published in:IEEE transactions on nanotechnology 2012-05, Vol.11 (3), p.501-512
Main Authors: Xinrong Yang, Frensley, W. R., Dian Zhou, Wenchuang Hu
Format: Article
Language:English
Subjects:
Biological and medical sciences
Biological system modeling
Biosensor
Biosensors
Biotechnology
Cross-disciplinary physics: materials science
rheology
Electric potential
Electrostatics
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
General equipment and techniques
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Logic gates
Materials science
Methods. Procedures. Technologies
modeling
Nanoscale materials and structures: fabrication and characterization
Physics
Quantum wires
Sensors
Sensors (chemical, optical, electrical, movement, gas, etc.)
remote sensing
Silicon
simulation
SiNR
SiNW
Substrates
Various methods and equipments
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Summary: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.
ISSN:1536-125X
1941-0085
DOI:10.1109/TNANO.2011.2178101