Showing posts with label BioFET. Show all posts
Showing posts with label BioFET. Show all posts

Thursday, October 11, 2012

Monday, July 23, 2012

Friday, May 4, 2012

BioFET-SIM Web Interface: Implementation and Two Applications

Martin submitted a new paper to PLoS ONE:

BioFET-SIM Web Interface: Implementation and Two Applications Martin R. Hediger, Jan H. Jensen, Luca De Vico. arXiv   biofetsim.org

The paper was submitted April 27 and deposited on arXiv the same day.

Abstract
We present a web interface for the BioFET-SIM program. The web interface allows to conveniently setup calculations based on the BioFET-SIM multiple charges model. As an illustration, two case studies are presented. In the first case, a generic peptide with opposite charges on both ends is inverted in orien- tation on a semiconducting nanowire surface leading to a corresponding change in sign of the computed sensitivity of the device. In the second case, the binding of an antibody/antigen complex on the nanowire surface is studied in terms of orientation and analyte/nanowire surface distance. We demonstrate how the BioFET-SIM web interface can aid in the understanding of experimental data and postulate alternative ways of antibody/antigen orientation on the nanowire surface.

Martin made a really nice screencast of the interface. 

Wednesday, August 10, 2011

New Paper: BioFET simulation with a multiple charges model

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

De Vico L., Iversen L., Sørensen M. H., Brandbyge M., Nygård J., Martinez K. L., Jensen J. H.

Nanoscale, DOI: 10.1039/C1NR10316D

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)



We analyze how appropriate combinations of buffer conditions and charge distributions and orientation may lead to a counter-intuitive signal in BioFETs.