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The SARS-COV-2 Spike Protein Binds Sialic Acids, and Enables Rapid Detection in a Lateral Flow Point of Care Diagnostic Device

15 June 2020, Version 1
Working Paper
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

There is an urgent need to understand the behavior of novel coronavirus (SARS-COV-2), which is the causative agent of COVID-19, and to develop point-of-care diagnostics. Here, a glyconanoparticle platform is used to discover that N-acetyl neuraminic acid has high affinity towards the SARS-COV-2 spike glycoprotein, demonstrating its glycan-binding function. Optimization of the particle size and coating enabled detection of the spike glycoprotein in lateral flow and showed selectivity over the SARS-COV-1 spike protein. Using a viral particle mimic, paper-based lateral flow detection was demonstrated in under 30 minutes showing the potential of this system as a low-cost detection platform.

Keywords

Glycan Binding Protein
SARS-CoV-2
COVID_19
Glycopolymer
biosensors
Lateral Flow

Supplementary materials

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Now Published

The SARS-COV-2 Spike Protein Binds Sialic Acids and Enables Rapid Detection in a Lateral Flow Point of Care Diagnostic Device [opens in a new tab]
Alexander N. Baker, Sarah-Jane Richards, Collette S. Guy, Thomas R. Congdon, Muhammad Hasan, Alexander J. Zwetsloot, Angelo Gallo, Józef R. Lewandowski, Phillip J. Stansfeld, Anne Straube, Marc Walker, Simona Chessa, Giulia Pergolizzi, Simone Dedola, Robert A. Field, Matthew I. Gibson journal article
ACS Central Science , Volume 6, Issue 11
Online publication date: Sep 23, 2020

Version History

Jun 15, 2020 Version 1

Version Notes

Upload changed to provide a smaller article file alone, and a separate larger file with article and supporting info, to facilitate downloading.

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The content is available under CC BY NC 4.0 [opens in a new tab]

DOI

10.26434/chemrxiv.12465680.v1
D O I: 10.26434/chemrxiv.12465680.v1 [opens in a new tab]

Funding

MIG is supported by the ERC (638661) and Royal Society (Industry Fellowship 191037). ANB thanks the BBSRC MIBTP program (BB/M01116X/1) and Iceni Diagnostics Ltd. UoW, EPSRC (EP/R511808/1) and BBSRC (BB/S506783/1) impact acceleration accounts are thanked. AJZ is funded by the MRC DTP (MR/N014294/1). AS is a Wellcome Trust Investigator (200870/Z/16/Z).

Author’s competing interest statement

RF is a shareholder and CEO of Iceni Diagnostics Ltd. ANB, SJR, MIG are named inventors of a patent application relating to this work.

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