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Issue 9, 2011
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Predicting and rationalizing the effect of surface charge distribution and orientation on nano-wire based FET bio-sensors

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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).

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

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Publication details

The article was received on 25 Mar 2011, accepted on 19 May 2011 and first published on 03 Aug 2011


Article type: Paper
DOI: 10.1039/C1NR10316D
Citation: Nanoscale, 2011,3, 3635-3640
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    Predicting and rationalizing the effect of surface charge distribution and orientation on nano-wire based FET bio-sensors

    L. De Vico, L. Iversen, M. H. Sørensen, M. Brandbyge, J. Nygård, K. L. Martinez and J. H. Jensen, Nanoscale, 2011, 3, 3635
    DOI: 10.1039/C1NR10316D

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