Predictive simulations and optimization of nanowire field-effect PSA sensors including screening
KAUST Grant NumberKUK-I1-007-43
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AbstractWe 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.
CitationBaumgartner S, Heitzinger C, Vacic A, Reed MA (2013) Predictive simulations and optimization of nanowire field-effect PSA sensors including screening. Nanotechnology 24: 225503. Available: http://dx.doi.org/10.1088/0957-4484/24/22/225503.
SponsorsSB 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.
CollectionsPublications Acknowledging KAUST Support
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