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

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. © 2013 IOP Publishing Ltd.

Original language	English (US)
Pages (from-to)	225503
Journal	Nanotechnology
Volume	24
Issue number	22
DOIs	https://doi.org/10.1088/0957-4484/24/22/225503
State	Published - May 3 2013
Externally published	Yes

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10.1088/0957-4484/24/22/225503

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@article{02a00ae5705443e3b7bd1e835db66c8c,

title = "Predictive simulations and optimization of nanowire field-effect PSA sensors including screening",

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. {\textcopyright} 2013 IOP Publishing Ltd.",

author = "Stefan Baumgartner and Clemens Heitzinger and Aleksandar Vacic and Reed, {Mark A}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): KUK-I1-007-43 Acknowledgements: SB and CH acknowledge support by the FWF (Austrian Science Fund) project no. P20871-N13 and by the WWTF (Vienna Science and Technology Fund) project no. MA09-028. CH acknowledges support by award no. KUK-I1-007-43 funded by the King Abdullah University of Science and Technology (KAUST). AV and MR acknowledge support by the DTRA project no. HDTRA1-10-1-0037. This publication acknowledges KAUST support, but has no KAUST affiliated authors.",

year = "2013",

month = may,

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doi = "10.1088/0957-4484/24/22/225503",

language = "English (US)",

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T1 - Predictive simulations and optimization of nanowire field-effect PSA sensors including screening

AU - Baumgartner, Stefan

AU - Heitzinger, Clemens

AU - Vacic, Aleksandar

AU - Reed, Mark A

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): KUK-I1-007-43 Acknowledgements: SB and CH acknowledge support by the FWF (Austrian Science Fund) project no. P20871-N13 and by the WWTF (Vienna Science and Technology Fund) project no. MA09-028. CH acknowledges support by award no. KUK-I1-007-43 funded by the King Abdullah University of Science and Technology (KAUST). AV and MR acknowledge support by the DTRA project no. HDTRA1-10-1-0037. This publication acknowledges KAUST support, but has no KAUST affiliated authors.

PY - 2013/5/3

Y1 - 2013/5/3

N2 - 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. © 2013 IOP Publishing Ltd.

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. © 2013 IOP Publishing Ltd.

UR - http://hdl.handle.net/10754/599386

UR - https://iopscience.iop.org/article/10.1088/0957-4484/24/22/225503

UR - http://www.scopus.com/inward/record.url?scp=84877739988&partnerID=8YFLogxK

U2 - 10.1088/0957-4484/24/22/225503

DO - 10.1088/0957-4484/24/22/225503

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C2 - 23644739

SN - 0957-4484

VL - 24

SP - 225503

JO - Nanotechnology

JF - Nanotechnology

IS - 22

ER -

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

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