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Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses
Recent years have witnessed the emergence of several viruses and other pathogens. Some of these infectious diseases have spread globally, resulting in pandemics. Although biosensors of various types have been utilized for virus detection, their limited sensitivity remains an issue. Therefore, the de...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066940/ https://www.ncbi.nlm.nih.gov/pubmed/37032711 http://dx.doi.org/10.1186/s11671-023-03842-4 |
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author | Ramalingam, Murugan Jaisankar, Abinaya Cheng, Lijia Krishnan, Sasirekha Lan, Liang Hassan, Anwarul Sasmazel, Hilal Turkoglu Kaji, Hirokazu Deigner, Hans-Peter Pedraz, Jose Luis Kim, Hae-Won Shi, Zheng Marrazza, Giovanna |
author_facet | Ramalingam, Murugan Jaisankar, Abinaya Cheng, Lijia Krishnan, Sasirekha Lan, Liang Hassan, Anwarul Sasmazel, Hilal Turkoglu Kaji, Hirokazu Deigner, Hans-Peter Pedraz, Jose Luis Kim, Hae-Won Shi, Zheng Marrazza, Giovanna |
author_sort | Ramalingam, Murugan |
collection | PubMed |
description | Recent years have witnessed the emergence of several viruses and other pathogens. Some of these infectious diseases have spread globally, resulting in pandemics. Although biosensors of various types have been utilized for virus detection, their limited sensitivity remains an issue. Therefore, the development of better diagnostic tools that facilitate the more efficient detection of viruses and other pathogens has become important. Nanotechnology has been recognized as a powerful tool for the detection of viruses, and it is expected to change the landscape of virus detection and analysis. Recently, nanomaterials have gained enormous attention for their value in improving biosensor performance owing to their high surface-to-volume ratio and quantum size effects. This article reviews the impact of nanotechnology on the design, development, and performance of sensors for the detection of viruses. Special attention has been paid to nanoscale materials, various types of nanobiosensors, the internet of medical things, and artificial intelligence-based viral diagnostic techniques. |
format | Online Article Text |
id | pubmed-10066940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-100669402023-04-03 Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses Ramalingam, Murugan Jaisankar, Abinaya Cheng, Lijia Krishnan, Sasirekha Lan, Liang Hassan, Anwarul Sasmazel, Hilal Turkoglu Kaji, Hirokazu Deigner, Hans-Peter Pedraz, Jose Luis Kim, Hae-Won Shi, Zheng Marrazza, Giovanna Discov Nano Review Recent years have witnessed the emergence of several viruses and other pathogens. Some of these infectious diseases have spread globally, resulting in pandemics. Although biosensors of various types have been utilized for virus detection, their limited sensitivity remains an issue. Therefore, the development of better diagnostic tools that facilitate the more efficient detection of viruses and other pathogens has become important. Nanotechnology has been recognized as a powerful tool for the detection of viruses, and it is expected to change the landscape of virus detection and analysis. Recently, nanomaterials have gained enormous attention for their value in improving biosensor performance owing to their high surface-to-volume ratio and quantum size effects. This article reviews the impact of nanotechnology on the design, development, and performance of sensors for the detection of viruses. Special attention has been paid to nanoscale materials, various types of nanobiosensors, the internet of medical things, and artificial intelligence-based viral diagnostic techniques. Springer US 2023-04-01 /pmc/articles/PMC10066940/ /pubmed/37032711 http://dx.doi.org/10.1186/s11671-023-03842-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Ramalingam, Murugan Jaisankar, Abinaya Cheng, Lijia Krishnan, Sasirekha Lan, Liang Hassan, Anwarul Sasmazel, Hilal Turkoglu Kaji, Hirokazu Deigner, Hans-Peter Pedraz, Jose Luis Kim, Hae-Won Shi, Zheng Marrazza, Giovanna Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses |
title | Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses |
title_full | Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses |
title_fullStr | Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses |
title_full_unstemmed | Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses |
title_short | Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses |
title_sort | impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066940/ https://www.ncbi.nlm.nih.gov/pubmed/37032711 http://dx.doi.org/10.1186/s11671-023-03842-4 |
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