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    Optimization of nanowire DNA sensor sensitivity using self-consistent simulation

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    Type
    Article
    Authors
    Baumgartner, S
    Vasicek, M
    Bulyha, A
    Heitzinger, C
    KAUST Grant Number
    KUK-I1-007-43
    Date
    2011-09-26
    Online Publication Date
    2011-09-26
    Print Publication Date
    2011-10-21
    Permanent link to this record
    http://hdl.handle.net/10754/599101
    
    Metadata
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    Abstract
    In order to facilitate the rational design and the characterization of nanowire field-effect sensors, we have developed a model based on self-consistent charge-transport equations combined with interface conditions for the description of the biofunctionalized surface layer at the semiconductor/electrolyte interface. Crucial processes at the interface, such as the screening of the partial charges of the DNA strands and the influence of the angle of the DNA strands with respect to the nanowire, are computed by a Metropolis Monte Carlo algorithm for charged molecules at interfaces. In order to investigate the sensing mechanism of the device, we have computed the current-voltage characteristics, the electrostatic potential and the concentrations of electrons and holes. Very good agreement with measurements has been found and optimal device parameters have been identified. Our approach provides the capability to study the device sensitivity, which is of fundamental importance for reliable sensing. © IOP Publishing Ltd.
    Citation
    Baumgartner S, Vasicek M, Bulyha A, Heitzinger C (2011) Optimization of nanowire DNA sensor sensitivity using self-consistent simulation. Nanotechnology 22: 425503. Available: http://dx.doi.org/10.1088/0957-4484/22/42/425503.
    Sponsors
    The authors acknowledge support by the FWF (Austrian Science Fund) project no. P20871-N13 and by the WWTF (Viennese Science and Technology Fund) project no. MA09-028. This publication is based on work supported by award no. KUK-I1-007-43, funded by the King Abdullah University of Science and Technology (KAUST).
    Publisher
    IOP Publishing
    Journal
    Nanotechnology
    DOI
    10.1088/0957-4484/22/42/425503
    PubMed ID
    21945993
    ae974a485f413a2113503eed53cd6c53
    10.1088/0957-4484/22/42/425503
    Scopus Count
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