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Nanopore sensors for viral particle quantification: current progress and future prospects

Rapid, inexpensive, and laboratory-free diagnostic of viral pathogens is highly critical in controlling viral pandemics. In recent years, nanopore-based sensors have been employed to detect, identify, and classify virus particles. By tracing ionic current containing target molecules across nano-scal...

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Autores principales: Akhtarian, Shiva, Miri, Saba, Doostmohammadi, Ali, Brar, Satinder Kaur, Rezai, Pouya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810133/
https://www.ncbi.nlm.nih.gov/pubmed/34709987
http://dx.doi.org/10.1080/21655979.2021.1995991
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author Akhtarian, Shiva
Miri, Saba
Doostmohammadi, Ali
Brar, Satinder Kaur
Rezai, Pouya
author_facet Akhtarian, Shiva
Miri, Saba
Doostmohammadi, Ali
Brar, Satinder Kaur
Rezai, Pouya
author_sort Akhtarian, Shiva
collection PubMed
description Rapid, inexpensive, and laboratory-free diagnostic of viral pathogens is highly critical in controlling viral pandemics. In recent years, nanopore-based sensors have been employed to detect, identify, and classify virus particles. By tracing ionic current containing target molecules across nano-scale pores, nanopore sensors can recognize the target molecules at the single-molecule level. In the case of viruses, they enable discrimination of individual viruses and obtaining important information on the physical and chemical properties of viral particles. Despite classical benchtop virus detection methods, such as amplification techniques (e.g., PCR) or immunological assays (e.g., ELISA), that are mainly laboratory-based, expensive and time-consuming, nanopore-based sensing methods can enable low-cost and real-time point-of-care (PoC) and point-of-need (PoN) monitoring of target viruses. This review discusses the limitations of classical virus detection methods in PoN virus monitoring and then provides a comprehensive overview of nanopore sensing technology and its emerging applications in quantifying virus particles and classifying virus sub-types. Afterward, it discusses the recent progress in the field of nanopore sensing, including integrating nanopore sensors with microfabrication technology, microfluidics and artificial intelligence, which have been demonstrated to be promising in developing the next generation of low-cost and portable biosensors for the sensitive recognition of viruses and emerging pathogens.
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spelling pubmed-88101332022-02-03 Nanopore sensors for viral particle quantification: current progress and future prospects Akhtarian, Shiva Miri, Saba Doostmohammadi, Ali Brar, Satinder Kaur Rezai, Pouya Bioengineered Review Rapid, inexpensive, and laboratory-free diagnostic of viral pathogens is highly critical in controlling viral pandemics. In recent years, nanopore-based sensors have been employed to detect, identify, and classify virus particles. By tracing ionic current containing target molecules across nano-scale pores, nanopore sensors can recognize the target molecules at the single-molecule level. In the case of viruses, they enable discrimination of individual viruses and obtaining important information on the physical and chemical properties of viral particles. Despite classical benchtop virus detection methods, such as amplification techniques (e.g., PCR) or immunological assays (e.g., ELISA), that are mainly laboratory-based, expensive and time-consuming, nanopore-based sensing methods can enable low-cost and real-time point-of-care (PoC) and point-of-need (PoN) monitoring of target viruses. This review discusses the limitations of classical virus detection methods in PoN virus monitoring and then provides a comprehensive overview of nanopore sensing technology and its emerging applications in quantifying virus particles and classifying virus sub-types. Afterward, it discusses the recent progress in the field of nanopore sensing, including integrating nanopore sensors with microfabrication technology, microfluidics and artificial intelligence, which have been demonstrated to be promising in developing the next generation of low-cost and portable biosensors for the sensitive recognition of viruses and emerging pathogens. Taylor & Francis 2021-11-22 /pmc/articles/PMC8810133/ /pubmed/34709987 http://dx.doi.org/10.1080/21655979.2021.1995991 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Akhtarian, Shiva
Miri, Saba
Doostmohammadi, Ali
Brar, Satinder Kaur
Rezai, Pouya
Nanopore sensors for viral particle quantification: current progress and future prospects
title Nanopore sensors for viral particle quantification: current progress and future prospects
title_full Nanopore sensors for viral particle quantification: current progress and future prospects
title_fullStr Nanopore sensors for viral particle quantification: current progress and future prospects
title_full_unstemmed Nanopore sensors for viral particle quantification: current progress and future prospects
title_short Nanopore sensors for viral particle quantification: current progress and future prospects
title_sort nanopore sensors for viral particle quantification: current progress and future prospects
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810133/
https://www.ncbi.nlm.nih.gov/pubmed/34709987
http://dx.doi.org/10.1080/21655979.2021.1995991
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