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 journalArticle

24 Citations (Scopus)

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 languageEnglish (US)
Article number225503
JournalNanotechnology
Volume24
Issue number22
DOIs
StatePublished - Jun 7 2013
Externally publishedYes

Fingerprint

Nanowires
Prostate-Specific Antigen
Antigens
Screening
Equipment and Supplies
Semiconductors
Sensors
Electrolytes
Ions
Biomolecules
Current voltage characteristics
Numerical models
Boundary layers
Semiconductor materials
Liquids

ASJC Scopus subject areas

  • Bioengineering
  • Chemistry(all)
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Mechanics of Materials
  • Materials Science(all)
  • Medicine(all)

Cite this

Predictive simulations and optimization of nanowire field-effect PSA sensors including screening. / Baumgartner, Stefan; Heitzinger, Clemens; Vacic, Aleksandar; Reed, Mark A.

In: Nanotechnology, Vol. 24, No. 22, 225503, 07.06.2013.

Research output: Contribution to journalArticle

Baumgartner, Stefan ; Heitzinger, Clemens ; Vacic, Aleksandar ; Reed, Mark A. / Predictive simulations and optimization of nanowire field-effect PSA sensors including screening. In: Nanotechnology. 2013 ; Vol. 24, No. 22.
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