Predicting and rationalizing the effect of surface charge distribution and orientation on nanowire based bioFET sensors

TY - JOUR

T1 - Predicting and rationalizing the effect of surface charge distribution and orientation on nanowire based bioFET sensors

AU - De Vico, Luca

AU - Iversen, Lars

AU - Sørensen, Martin H

AU - Brandbyge, Mads

AU - Nygård, Jesper

AU - Martinez, Karen Laurence

AU - Jensen, Jan Halborg

PY - 2011/9

Y1 - 2011/9

N2 - 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).

AB - 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).

U2 - 10.1039/c1nr10316d

DO - 10.1039/c1nr10316d

M3 - Journal article

SN - 2040-3364

VL - 3

SP - 3635

EP - 3640

JO - Nanoscale

JF - Nanoscale

IS - 9

ER -