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Smartphone-based corona virus detection using saliva: A mini-review

During the ongoing worldwide epidemic, SARS-CoV-2 has infected millions of individuals and taken the lives of numerous victims. It is clear that early detection of infected individuals, especially asymptomatic carriers, is possible with the development of innovative analytical tools for rapid identi...

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Detalles Bibliográficos
Autores principales: Ehtesabi, Hamide, Afzalpour, Elham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9991337/
https://www.ncbi.nlm.nih.gov/pubmed/36919087
http://dx.doi.org/10.1016/j.heliyon.2023.e14380
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author Ehtesabi, Hamide
Afzalpour, Elham
author_facet Ehtesabi, Hamide
Afzalpour, Elham
author_sort Ehtesabi, Hamide
collection PubMed
description During the ongoing worldwide epidemic, SARS-CoV-2 has infected millions of individuals and taken the lives of numerous victims. It is clear that early detection of infected individuals, especially asymptomatic carriers, is possible with the development of innovative analytical tools for rapid identification of COVID-19 present in nasopharyngeal swabs, serum, and saliva. The saliva, as a diagnostic sample, can be easily collected by the patient with almost no discomfort and needs specialized healthcare personnel to manage, which reduces the risks for the operator. Moreover, smartphone-based sensing systems are one of the most attractive techniques that can speed up the detection time of COVID-19 agents without the need for professional staff and clinical centers. In this review, recent advances in precise salivary-based SARS-CoV-2 diagnosis using smartphones via viral RNA detection, antibody identification, and viral antigen identification were summarized. Finally, the conclusion and future perspective of this field are described in brief.
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spelling pubmed-99913372023-03-08 Smartphone-based corona virus detection using saliva: A mini-review Ehtesabi, Hamide Afzalpour, Elham Heliyon Review Article During the ongoing worldwide epidemic, SARS-CoV-2 has infected millions of individuals and taken the lives of numerous victims. It is clear that early detection of infected individuals, especially asymptomatic carriers, is possible with the development of innovative analytical tools for rapid identification of COVID-19 present in nasopharyngeal swabs, serum, and saliva. The saliva, as a diagnostic sample, can be easily collected by the patient with almost no discomfort and needs specialized healthcare personnel to manage, which reduces the risks for the operator. Moreover, smartphone-based sensing systems are one of the most attractive techniques that can speed up the detection time of COVID-19 agents without the need for professional staff and clinical centers. In this review, recent advances in precise salivary-based SARS-CoV-2 diagnosis using smartphones via viral RNA detection, antibody identification, and viral antigen identification were summarized. Finally, the conclusion and future perspective of this field are described in brief. Elsevier 2023-03-08 /pmc/articles/PMC9991337/ /pubmed/36919087 http://dx.doi.org/10.1016/j.heliyon.2023.e14380 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Ehtesabi, Hamide
Afzalpour, Elham
Smartphone-based corona virus detection using saliva: A mini-review
title Smartphone-based corona virus detection using saliva: A mini-review
title_full Smartphone-based corona virus detection using saliva: A mini-review
title_fullStr Smartphone-based corona virus detection using saliva: A mini-review
title_full_unstemmed Smartphone-based corona virus detection using saliva: A mini-review
title_short Smartphone-based corona virus detection using saliva: A mini-review
title_sort smartphone-based corona virus detection using saliva: a mini-review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9991337/
https://www.ncbi.nlm.nih.gov/pubmed/36919087
http://dx.doi.org/10.1016/j.heliyon.2023.e14380
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