Graphene BioFET sensors for SARS-CoV-2 detection: a multiscale simulation approach-Reference-Cited by-同舟云学术

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

Published:2022 Issue:14 Volume:4 Page:3065-3072
ISSN:2516-0230
Container-title:Nanoscale Advances
language:en
Short-container-title:Nanoscale Adv.

Author:

Toral-Lopez A.¹^ORCID,Kokh D. B.²^ORCID,Marin E. G.¹^ORCID,Wade R. C.²³⁴^ORCID,Godoy A.¹^ORCID

Affiliation:

1. Departamento de Electrónica y Tecnología de Computadores, Facultad de Ciencias, Universidad de Granada, Spain

2. Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies, Schloss-Wolfsbrunnenweg 35, 69118 Heidelberg, Germany

3. Center for Molecular Biology (ZMBH), DKFZ-ZMBH Alliance, Heidelberg University, Im Neuenheimer Feld 282, 69120 Heidelberg, Germany

4. Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Im Neuenheimer Feld 205, Heidelberg, Germany

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.

Funder

Consejería de Conocimiento, Investigación y Universidad, Junta de Andalucía

H2020 LEIT Information and Communication Technologies

Klaus Tschira Stiftung

H2020 Future and Emerging Technologies

Ministerio de Ciencia e Innovación

Ministerio de Educación, Cultura y Deporte

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Materials Science,General Chemistry,Atomic and Molecular Physics, and Optics,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2022/NA/D2NA00357K

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