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

Handle URI:
http://hdl.handle.net/10754/599386
Title:
Predictive simulations and optimization of nanowire field-effect PSA sensors including screening
Authors:
Baumgartner, Stefan; Heitzinger, Clemens; Vacic, Aleksandar; Reed, Mark A
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.
Citation:
Baumgartner 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.
Publisher:
IOP Publishing
Journal:
Nanotechnology
KAUST Grant Number:
KUK-I1-007-43
Issue Date:
3-May-2013
DOI:
10.1088/0957-4484/24/22/225503
PubMed ID:
23644739
Type:
Article
ISSN:
0957-4484; 1361-6528
Sponsors:
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.
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorBaumgartner, Stefanen
dc.contributor.authorHeitzinger, Clemensen
dc.contributor.authorVacic, Aleksandaren
dc.contributor.authorReed, Mark Aen
dc.date.accessioned2016-02-28T05:50:07Zen
dc.date.available2016-02-28T05:50:07Zen
dc.date.issued2013-05-03en
dc.identifier.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.en
dc.identifier.issn0957-4484en
dc.identifier.issn1361-6528en
dc.identifier.pmid23644739en
dc.identifier.doi10.1088/0957-4484/24/22/225503en
dc.identifier.urihttp://hdl.handle.net/10754/599386en
dc.description.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.en
dc.description.sponsorshipSB 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.en
dc.publisherIOP Publishingen
dc.titlePredictive simulations and optimization of nanowire field-effect PSA sensors including screeningen
dc.typeArticleen
dc.identifier.journalNanotechnologyen
dc.contributor.institutionAustrian Institute of Technology, Vienna, Austriaen
dc.contributor.institutionUniversity of Cambridge, Cambridge, United Kingdomen
dc.contributor.institutionYale University, New Haven, United Statesen
dc.contributor.institutionNew Technologies, Inc, Bedford, United Statesen
kaust.grant.numberKUK-I1-007-43en

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