Predicting and rationalizing the effect of surface charge distribution and orientation on nano-wire based FET bio-sensors

L. De Vico, L. Iversen, Martin Hedegård Sørensen, Mads Brandbyge, J. Nygard, K.L. Martinez, J.H. Jensen

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    A single charge screening model of surface charge sensors in liquids (De Vico et al., Nanoscale, 2011, 3, 706-717) is extended to multiple charges to model the effect of the charge distributions of analyte proteins on FET sensor response. With this model we show that counter-intuitive signal changes (e.g. a positive signal change due to a net positive protein binding to a p-type conductor) can occur for certain combinations of charge distributions and Debye lengths. The new method is applied to interpret published experimental data on Streptavidin (Ishikawa et al., ACS Nano, 2009, 3, 3969-3976) and Nucleocapsid protein (Ishikawa et al., ACS Nano, 2009, 3, 1219-1224).
    Original languageEnglish
    JournalNanoscale
    Volume3
    Issue number9
    Pages (from-to)3635-3640
    Number of pages6
    ISSN2040-3364
    DOIs
    Publication statusPublished - 2011

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