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Tuning electrostatic gating of semiconducting carbon nanotubes by controlling protein orientation in biosensing devices

Xu, Xinzhao, Bowen, Benjamin J., Gwyther, Rebecca E. A., Freeley, Mark, Grigorenko, Bella, Nemukhin, Alexander V., Eklöf-Österberg, Johnas, Moth-Poulsen, Kasper, Jones, D. Dafydd ORCID: https://orcid.org/0000-0001-7709-3995 and Palma, Matteo 2021. Tuning electrostatic gating of semiconducting carbon nanotubes by controlling protein orientation in biosensing devices. Angewandte Chemie International Edition 60 (37) , pp. 20184-20189. 10.1002/anie.202104044

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Abstract

The ability to detect proteins through gating conductance by their unique surface electrostatic signature holds great potential for improving biosensing sensitivity and precision. Two challenges are: (1) defining the electrostatic surface of the incoming ligand protein presented to the conductive surface; (2) bridging the Debye gap to generate a measurable response. Herein, we report the construction of nanoscale protein-based sensing devices designed to present proteins in defined orientations; this allowed us to control the local electrostatic surface presented within the Debye length, and thus modulate the conductance gating effect upon binding incoming protein targets. Using a β-lactamase binding protein (BLIP2) as the capture protein attached to carbon nanotube field effect transistors in different defined orientations. Device conductance had influence on binding TEM-1, an important β-lactamase involved in antimicrobial resistance (AMR). Conductance increased or decreased depending on TEM-1 presenting either negative or positive local charge patches, demonstrating that local electrostatic properties, as opposed to protein net charge, act as the key driving force for electrostatic gating. This, in turn can, improve our ability to tune the gating of electrical biosensors toward optimized detection, including for AMR as outlined herein.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Biosciences
Advanced Research Computing @ Cardiff (ARCCA)
Additional Information: This is an open access article under the terms of the Creative Commons Attribution License
Publisher: Wiley
ISSN: 1521-3773
Date of First Compliant Deposit: 9 August 2021
Date of Acceptance: 16 July 2021
Last Modified: 23 May 2023 16:55
URI: https://orca.cardiff.ac.uk/id/eprint/143245

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