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Affinity Sensors for the Diagnosis of COVID-19
The coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was proclaimed a global pandemic in March 2020. Reducing the dissemination rate, in particular by tracking the infected people and their contacts, is the main instrument against in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065593/ https://www.ncbi.nlm.nih.gov/pubmed/33918184 http://dx.doi.org/10.3390/mi12040390 |
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author | Drobysh, Maryia Ramanaviciene, Almira Viter, Roman Ramanavicius, Arunas |
author_facet | Drobysh, Maryia Ramanaviciene, Almira Viter, Roman Ramanavicius, Arunas |
author_sort | Drobysh, Maryia |
collection | PubMed |
description | The coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was proclaimed a global pandemic in March 2020. Reducing the dissemination rate, in particular by tracking the infected people and their contacts, is the main instrument against infection spreading. Therefore, the creation and implementation of fast, reliable and responsive methods suitable for the diagnosis of COVID-19 are required. These needs can be fulfilled using affinity sensors, which differ in applied detection methods and markers that are generating analytical signals. Recently, nucleic acid hybridization, antigen-antibody interaction, and change of reactive oxygen species (ROS) level are mostly used for the generation of analytical signals, which can be accurately measured by electrochemical, optical, surface plasmon resonance, field-effect transistors, and some other methods and transducers. Electrochemical biosensors are the most consistent with the general trend towards, acceleration, and simplification of the bioanalytical process. These biosensors mostly are based on the determination of antigen-antibody interaction and are robust, sensitive, accurate, and sometimes enable label-free detection of an analyte. Along with the specification of biosensors, we also provide a brief overview of generally used testing techniques, and the description of the structure, life cycle and immune host response to SARS-CoV-2, and some deeper details of analytical signal detection principles. |
format | Online Article Text |
id | pubmed-8065593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80655932021-04-25 Affinity Sensors for the Diagnosis of COVID-19 Drobysh, Maryia Ramanaviciene, Almira Viter, Roman Ramanavicius, Arunas Micromachines (Basel) Review The coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was proclaimed a global pandemic in March 2020. Reducing the dissemination rate, in particular by tracking the infected people and their contacts, is the main instrument against infection spreading. Therefore, the creation and implementation of fast, reliable and responsive methods suitable for the diagnosis of COVID-19 are required. These needs can be fulfilled using affinity sensors, which differ in applied detection methods and markers that are generating analytical signals. Recently, nucleic acid hybridization, antigen-antibody interaction, and change of reactive oxygen species (ROS) level are mostly used for the generation of analytical signals, which can be accurately measured by electrochemical, optical, surface plasmon resonance, field-effect transistors, and some other methods and transducers. Electrochemical biosensors are the most consistent with the general trend towards, acceleration, and simplification of the bioanalytical process. These biosensors mostly are based on the determination of antigen-antibody interaction and are robust, sensitive, accurate, and sometimes enable label-free detection of an analyte. Along with the specification of biosensors, we also provide a brief overview of generally used testing techniques, and the description of the structure, life cycle and immune host response to SARS-CoV-2, and some deeper details of analytical signal detection principles. MDPI 2021-04-02 /pmc/articles/PMC8065593/ /pubmed/33918184 http://dx.doi.org/10.3390/mi12040390 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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/). |
spellingShingle | Review Drobysh, Maryia Ramanaviciene, Almira Viter, Roman Ramanavicius, Arunas Affinity Sensors for the Diagnosis of COVID-19 |
title | Affinity Sensors for the Diagnosis of COVID-19 |
title_full | Affinity Sensors for the Diagnosis of COVID-19 |
title_fullStr | Affinity Sensors for the Diagnosis of COVID-19 |
title_full_unstemmed | Affinity Sensors for the Diagnosis of COVID-19 |
title_short | Affinity Sensors for the Diagnosis of COVID-19 |
title_sort | affinity sensors for the diagnosis of covid-19 |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065593/ https://www.ncbi.nlm.nih.gov/pubmed/33918184 http://dx.doi.org/10.3390/mi12040390 |
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