Guaman-Bautista, LP;
Moreta-Urbano, E;
Oña-Arias, CG;
Torres-Arias, M;
Kyriakidis, NC;
Malcı, K;
Jonguitud-Borrego, N;
... Barba-Ostria, C; + view all
(2021)
Tracking SARS-CoV-2: Novel Trends and Diagnostic Strategies.
Diagnostics
, 11
(11)
p. 1981.
10.3390/diagnostics11111981.
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Abstract
The COVID-19 pandemic has had an enormous impact on economies and health systems globally, therefore a top priority is the development of increasingly better diagnostic and surveillance alternatives to slow down the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In order to establish massive testing and contact tracing policies, it is crucial to have a clear view of the diagnostic options available and their principal advantages and drawbacks. Although classical molecular methods such as RT-qPCR are broadly used, diagnostic alternatives based on technologies such as LAMP, antigen, serological testing, or the application of novel technologies such as CRISPR-Cas for diagnostics, are also discussed. The present review also discusses the most important automation strategies employed to increase testing capability. Several serological-based diagnostic kits are presented, as well as novel nanotechnology-based diagnostic methods. In summary, this review provides a clear diagnostic landscape of the most relevant tools to track COVID-19.
| Type: | Article |
|---|---|
| Title: | Tracking SARS-CoV-2: Novel Trends and Diagnostic Strategies |
| Location: | Switzerland |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/diagnostics11111981 |
| Publisher version: | https://doi.org/10.3390/diagnostics11111981 |
| Language: | English |
| Additional information: | Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| Keywords: | COVID-19; nucleic acid amplification test; antigen testing; CRISPR-based diagnostics; nanotechnology-based diagnostics; automation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Biochemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10183106 |
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