Graphene BioFET sensors for SARS-CoV-2 detection: a multiscale simulation approach

View Publication
Abstract: 
        Two-dimensional (2D) materials BioFETs have already demonstrated their potential for detecting low amounts of molecules. Here, we present a multiscale simulation platform in the context of Graphene BioFET for the detection of SARS-CoV-2.

SEEK ID: https://publications.h-its.org/publications/1511

SEEK ID: https://publications.h-its.org/publications/1511

DOI: 10.1039/D2NA00357K

Research Groups: Molecular and Cellular Modeling

Publication type: Journal

Journal: Nanoscale Advances

Citation: Nanoscale Adv. 4(14):3065-3072

Date Published: 15th Jul 2022

Registered Mode: by DOI

Authors: A. Toral-Lopez, D. B. Kokh, E. G. Marin, R. C. Wade, A. Godoy

Citation
Toral-Lopez, A., Kokh, D. B., Marin, E. G., Wade, R. C., & Godoy, A. (2022). Graphene BioFET sensors for SARS-CoV-2 detection: a multiscale simulation approach. In Nanoscale Advances (Vol. 4, Issue 14, pp. 3065–3072). Royal Society of Chemistry (RSC). https://doi.org/10.1039/d2na00357k
Activity

Views: 3186

Created: 2nd Sep 2022 at 17:00

Last updated: 5th Mar 2024 at 21:24

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
 (v.1.14.2)
About HITS Publication SEEK | About HITS-Publication-SEEK | Funding and Programmes | Credits
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH