Online citations, reference lists, and bibliographies.
← Back to Search

Multiscale Modeling Of Planar And Nanowire Field-Effect Biosensors

C. Heitzinger, N. Mauser, C. Ringhofer
Published 2010 · Computer Science, Mathematics

Cite This
Download PDF
Analyze on Scholarcy
Share
Field-effect nanobiosensors (or Biofets, biologically sensitive field-effect transistors) have recently been demonstrated experimentally and have thus gained interest as a technology for direct, label-free, real-time, and highly sensitive detection of biomolecules. The experiments have not been accompanied by a quantitative understanding of the underlying detection mechanism. The modeling of field-effect biosensors poses a multiscale problem due to the different length scales in the sensors: the charge distribution and the electric potential of the biofunctionalized surface layer changes on the Angstrom length scale, whereas the exposed sensor area is measured in micrometers squared. Here a multiscale model for the electrostatics of planar and nanowire field-effect sensors is developed by homogenization of the Poisson equation in the biofunctionalized boundary layer. The resulting interface conditions depend on the surface charge density and dipole moment density of the boundary layer. The multiscale mode...
This paper references
10.1038/nbt1138
Multiplexed electrical detection of cancer markers with nanowire sensor arrays
G. Zheng (2005)
10.1038/nature05498
Label-free immunodetection with CMOS-compatible semiconducting nanowires
E. Stern (2007)
10.1038/nbt1001-924
Hotwiring biosensors
J. Klemic (2001)
Investigation of the Conductance of Silicon Nanowire Biosensors Using the 2D Drift-diffusion Model
Sriraman Damodaran (2007)
10.1016/J.SNB.2005.03.083
Possibilities and limitations of label-free detection of DNA hybridization with field-effect-based devices
A. Poghossian (2005)
10.1021/AC061808Q
Silicon nanowire arrays for label-free detection of DNA.
Z. Gao (2007)
10.1149/ma2007-01/22/947
Investigations of the Potential Jump at the Surface of BioFETs Using a Multi-scale Model
C. Heitzinger (2007)
INVESTIGATION OF CONVENTIONAL DNAFETS FOR GENOME-WIDE DETECTION OF POLYMORPHISMS
C. Heitzinger (2006)
10.1007/b13405
Mathematical Problems in Semiconductor Physics
W. Allegretto (2003)
10.1002/ELAN.200603609
Bio FEDs (Field‐Effect Devices): State‐of‐the‐Art and New Directions
M. J. Schöning (2006)
10.1038/nprot.2006.227
Fabrication of silicon nanowire devices for ultrasensitive, label-free, real-time detection of biological and chemical species
Fernando Patolsky (2006)
10.1039/B204444G
Recent advances in biologically sensitive field-effect transistors (BioFETs).
M. J. Schöning (2002)
Three - dimensional Monte Carlo simulation of biofunctionalized surface layers in the constant - voltage ensemble
C. Heitzinger Bulyha (2003)
Investigation of the conductance of silicon nanowire biosensors using the 2D drift-diffusion model
S. Damodaran (2007)
field - effect devices ) : Stateoftheart and new directions
Bio FEDs (2002)
10.1093/NAR/29.24.5163
The effect of surface probe density on DNA hybridization.
A. W. Peterson (2001)
10.1007/S10825-006-0139-X
Computational aspects of the three-dimensional feature-scale simulation of silicon-nanowire field-effect sensors for DNA detection
C. Heitzinger (2007)
10.1007/978-3-7091-6961-2
Semiconductor Equations
P. Markowich (1990)
( field - effect devices ) : State - ofthe - art and new directions
J. Klemic (2006)



This paper is referenced by
10.1088/0957-4484/24/22/225503
Predictive simulations and optimization of nanowire field-effect PSA sensors including screening.
S. Baumgartner (2013)
Biomolecular electrostatics with continuum models: a boundary integral implementation and applications to biosensors
Christopher Cooper Villagran (2015)
10.1109/HPTCDL.2014.8
Julia and the Numerical Homogenization of PDEs
C. Heitzinger (2014)
10.5220/0001430700240030
Study of the Properties of Biotin-streptavidin Sensitive BioFETs
Thomas Windbacher (2009)
10.4171/OWR/2013/14
Interplay of Theory and Numerics for Deterministic and Stochastic Homogenization
G. Bal (2013)
10.7567/JJAP.57.04FM02
Calculation of surface potentials at the silica–water interface using molecular dynamics: Challenges and opportunities
B. Lowe (2018)
10.1109/NANO.2016.7751538
Analysis of dielectric microbead detection by impedance spectroscopy with nanoribbons
P. Scarbolo (2016)
10.1016/j.jcp.2013.02.043
A one-level FETI method for the drift-diffusion-Poisson system with discontinuities at an interface
S. Baumgartner (2013)
10.1007/978-3-319-63082-3_48
The Stochastic Drift-Diffusion-Poisson System for Modeling Nanowire and Nanopore Sensors
L. Taghizadeh (2016)
10.1007/978-3-319-02772-2_3
BioFET-SIM: A Tool for the Analysis and Prediction of Signal Changes in Nanowire-Based Field Effect Transistor Biosensors
M. Hediger (2013)
Readout Concepts for Label-Free Biomolecule Detection with Advanced ISFET and Silicon Nanowire Biosensors
T. C. Nguyen (2018)
10.4310/CMS.2017.V15.N8.A8
Analysis of the drift-diffusion-Poisson–Boltzmann system for nanowire and nanopore sensors in the alternating-current regime
C. Heitzinger (2017)
10.1007/S10825-016-0922-2
Basis adaptation for the stochastic nonlinear Poisson–Boltzmann equation
Amirreza Khodadadian (2016)
10.1039/c0nr00791a
An algorithm for three-dimensional Monte-Carlo simulation of charge distribution at biofunctionalized surfaces.
A. Bulyha (2011)
10.1016/j.cma.2017.02.014
The optimal multilevel Monte-Carlo approximation of the stochastic drift–diffusion-Poisson system
L. Taghizadeh (2017)
10.1007/s00366-020-01057-0
Meshless local numerical procedure based on interpolating moving least squares approximation and exponential time differencing fourth-order Runge–Kutta (ETDRK4) for solving stochastic parabolic interface problems
M. Abbaszadeh (2020)
10.1016/j.cma.2020.113163
An adaptive multilevel Monte Carlo algorithm for the stochastic drift–diffusion–Poisson system
Amirreza Khodadadian (2020)
10.1080/0740817X.2014.937018
Growth process modeling of semiconductor nanowires for scale-up of nanomanufacturing: A review
L. Xu (2015)
10.1088/0957-4484/24/31/315501
Kinetic parameter estimation and fluctuation analysis of CO at SnO2 single nanowires.
G. Tulzer (2013)
STATIC AND DYNAMIC MODELING OF DNA BIOSENSORS FOR BIOMEDICAL APPLICATIONS
M. Waleed Shinwari (2011)
10.3934/NHM.2016011
A steady-state mathematical model for an EOS capacitor: The effect of the size exclusion
Federica Di Michele (2016)
10.1016/j.compbiomed.2017.05.008
Optimal design of nanowire field-effect troponin sensors
Amirreza Khodadadian (2017)
Modeling and Simulation of Surface Processes at
Nanoscale Sensors (2015)
10.3182/20120215-3-AT-3016.00042
Advanced Modeling and Simulation of Nanowire Field-Effect Sensors
S. Baumgartner (2012)
10.1039/c8nr00776d
Molecular dynamics simulation of potentiometric sensor response: the effect of biomolecules, surface morphology and surface charge.
B. Lowe (2018)
10.1007/S10825-017-1118-0
Three-dimensional optimal multi-level Monte–Carlo approximation of the stochastic drift–diffusion–Poisson system in nanoscale devices
Amirreza Khodadadian (2018)
10.1039/c0nr00442a
Quantifying signal changes in nano-wire based biosensors.
L. De Vico (2011)
Design, Fabrication, and Characterization of Field-Effect and Impedance Based Biosensors
Xuejin Wen (2011)
10.1016/J.PROENG.2012.09.270
Inverse Modeling of CO Reactions at SnO2 Nanowire Surfaces for Selective Detection
G. Tulzer (2012)
10.4310/CMS.2011.V9.N3.A8
A transport equation for confined structures derived from the Boltzmann equation
C. Heitzinger (2011)
10.4310/CMS.2014.V12.N3.A1
Multiscale modeling of fluctuations in stochastic elliptic pde models of nanosensors
C. Heitzinger (2014)
10.1039/c6cp04101a
Dynamic behaviour of the silica-water-bio electrical double layer in the presence of a divalent electrolyte.
B. Lowe (2017)
See more
Semantic Scholar Logo Some data provided by SemanticScholar