Issue 2, 2011
From the journal:

Nanoscale

Quantifying signal changes in nano-wire based biosensors†

Luca De Vico,a   Martin H. Sørensen,b   Lars Iversen,cd   David M. Rogers,a   Brian S. Sørensen,ed   Mads Brandbyge,b   Jesper Nygård,ed   Karen L. Martinezcd  and  Jan H. Jensen*a  

* Corresponding authors

a Department of Chemistry, University of Copenhagen, Universitetsparken 5, Denmark
E-mail: jhjensen@kemi.ku.dk
Fax: +45 35 32 02 14
Tel: +45 35 32 02 39

b DTU Nanotech, Department of Micro and Nanotechnology, Technical University of Denmark, DTU-Building 345 East, Kongens Lyngby, Denmark

c Bio-Nanotechnology Laboratory, Department of Neuroscience and Pharmacology, University of Copenhagen, Universitetsparken 5, Copenhagen, Denmark

d Nano-Science Center, University of Copenhagen, Universitetsparken 5, Copenhagen, Denmark

e Niels Bohr Institute, University of Copenhagen, Universitetsparken 5, Copenhagen, Denmark

Abstract

In this work, we present a computational methodology for predicting the change in signal (conductance sensitivity) of a nano-BIOFET sensor (a sensor based on a biomolecule binding another biomolecule attached to a nano-wire field effect transistor) upon binding its target molecule. The methodology is a combination of the screening model of surface charge sensors in liquids developed by Brandbyge and co-workers [Sørensen et al., Appl. Phys. Lett., 2007, 91, 102105], with the PROPKA method for predicting the pH-dependent charge of proteins and protein-ligand complexes, developed by Jensen and co-workers [Liet al., Proteins: Struct., Funct., Bioinf., 2005, 61, 704–721, Bas et al., Proteins: Struct., Funct., Bioinf., 2008, 73, 765–783]. The predicted change in conductance sensitivity based on this methodology is compared to previously published data on nano-BIOFET sensors obtained by other groups. In addition, the conductance sensitivity dependence from various parameters is explored for a standard wire, representative of a typical experimental setup. In general, the experimental data can be reproduced with sufficient accuracy to help interpret them. The method has the potential for even more quantitative predictions when key experimental parameters (such as the charge carrier density of the nano-wire or receptor density on the device surface) can be determined (and reported) more accurately.

Graphical abstract: Quantifying signal changes in nano-wire based biosensors

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Article information

DOI
https://doi.org/10.1039/C0NR00442A
Article type
Paper
Submitted
25 Jun 2010
Accepted
20 Oct 2010
First published
20 Dec 2010

Nanoscale, 2011,3, 706-717

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Quantifying signal changes in nano-wire based biosensors

L. De Vico, M. H. Sørensen, L. Iversen, D. M. Rogers, B. S. Sørensen, M. Brandbyge, J. Nygård, K. L. Martinez and J. H. Jensen, Nanoscale, 2011, 3, 706 DOI: 10.1039/C0NR00442A

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