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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2021
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oai:doaj.org-article:2e0c685fa3be4d2b999b5df17562dae72021-11-26T11:19:49ZNanopore sensors for viral particle quantification: current progress and future prospects2165-59792165-598710.1080/21655979.2021.1995991https://doaj.org/article/2e0c685fa3be4d2b999b5df17562dae72021-12-01T00:00:00Zhttp://dx.doi.org/10.1080/21655979.2021.1995991https://doaj.org/toc/2165-5979https://doaj.org/toc/2165-5987Rapid, 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.Shiva AkhtarianSaba MiriAli DoostmohammadiSatinder Kaur BrarPouya RezaiTaylor & Francis Grouparticlenanopore sensorvirus detectionvirus classificationmicrofluidicsbiosensorsartificial intelligenceresistive pulse sensingBiotechnologyTP248.13-248.65ENBioengineered, Vol 12, Iss 2, Pp 9189-9215 (2021) |
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nanopore sensor virus detection virus classification microfluidics biosensors artificial intelligence resistive pulse sensing Biotechnology TP248.13-248.65 |
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nanopore sensor virus detection virus classification microfluidics biosensors artificial intelligence resistive pulse sensing Biotechnology TP248.13-248.65 Shiva Akhtarian Saba Miri Ali Doostmohammadi Satinder Kaur Brar Pouya Rezai Nanopore sensors for viral particle quantification: current progress and future prospects |
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. |
format |
article |
author |
Shiva Akhtarian Saba Miri Ali Doostmohammadi Satinder Kaur Brar Pouya Rezai |
author_facet |
Shiva Akhtarian Saba Miri Ali Doostmohammadi Satinder Kaur Brar Pouya Rezai |
author_sort |
Shiva Akhtarian |
title |
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_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_sort |
nanopore sensors for viral particle quantification: current progress and future prospects |
publisher |
Taylor & Francis Group |
publishDate |
2021 |
url |
https://doaj.org/article/2e0c685fa3be4d2b999b5df17562dae7 |
work_keys_str_mv |
AT shivaakhtarian nanoporesensorsforviralparticlequantificationcurrentprogressandfutureprospects AT sabamiri nanoporesensorsforviralparticlequantificationcurrentprogressandfutureprospects AT alidoostmohammadi nanoporesensorsforviralparticlequantificationcurrentprogressandfutureprospects AT satinderkaurbrar nanoporesensorsforviralparticlequantificationcurrentprogressandfutureprospects AT pouyarezai nanoporesensorsforviralparticlequantificationcurrentprogressandfutureprospects |
_version_ |
1718409457491247104 |