Predictive simulations and optimization of nanowire field-effect PSA sensors including screening

Stefan Baumgartner; Clemens Heitzinger; Aleksandar Vacic; Mark A. Reed

doi:10.1088/0957-4484/24/22/225503

Predictive simulations and optimization of nanowire field-effect PSA sensors including screening

Stefan Baumgartner, Clemens Heitzinger, Aleksandar Vacic, Mark A. Reed

Mathematical and Statistical Sciences, School of (SoMSS)

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

We apply our self-consistent PDE model for the electrical response of field-effect sensors to the 3D simulation of nanowire PSA (prostate-specific antigen) sensors. The charge concentration in the biofunctionalized boundary layer at the semiconductor-electrolyte interface is calculated using the propka algorithm, and the screening of the biomolecules by the free ions in the liquid is modeled by a sensitivity factor. This comprehensive approach yields excellent agreement with experimental current-voltage characteristics without any fitting parameters. Having verified the numerical model in this manner, we study the sensitivity of nanowire PSA sensors by changing device parameters, making it possible to optimize the devices and revealing the attributes of the optimal field-effect sensor.

Original language	English (US)
Article number	225503
Journal	Nanotechnology
Volume	24
Issue number	22
DOIs	https://doi.org/10.1088/0957-4484/24/22/225503
State	Published - Jun 7 2013

ASJC Scopus subject areas

Bioengineering
General Chemistry
General Materials Science
Mechanics of Materials
Mechanical Engineering
Electrical and Electronic Engineering

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abstract = "We apply our self-consistent PDE model for the electrical response of field-effect sensors to the 3D simulation of nanowire PSA (prostate-specific antigen) sensors. The charge concentration in the biofunctionalized boundary layer at the semiconductor-electrolyte interface is calculated using the propka algorithm, and the screening of the biomolecules by the free ions in the liquid is modeled by a sensitivity factor. This comprehensive approach yields excellent agreement with experimental current-voltage characteristics without any fitting parameters. Having verified the numerical model in this manner, we study the sensitivity of nanowire PSA sensors by changing device parameters, making it possible to optimize the devices and revealing the attributes of the optimal field-effect sensor.",

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AB - We apply our self-consistent PDE model for the electrical response of field-effect sensors to the 3D simulation of nanowire PSA (prostate-specific antigen) sensors. The charge concentration in the biofunctionalized boundary layer at the semiconductor-electrolyte interface is calculated using the propka algorithm, and the screening of the biomolecules by the free ions in the liquid is modeled by a sensitivity factor. This comprehensive approach yields excellent agreement with experimental current-voltage characteristics without any fitting parameters. Having verified the numerical model in this manner, we study the sensitivity of nanowire PSA sensors by changing device parameters, making it possible to optimize the devices and revealing the attributes of the optimal field-effect sensor.

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Predictive simulations and optimization of nanowire field-effect PSA sensors including screening

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