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Engineering carbon nanotubes for sensitive viral detection
Viral infections have been proven a severe threat to human beings, and the pandemic of Coronavirus Disease 2019 (COVID-19) has become a societal health concern, including mental distress and morbidity. Therefore, the early diagnosis and differentiation of viral infections are the prerequisite for cu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054723/ https://www.ncbi.nlm.nih.gov/pubmed/35527799 http://dx.doi.org/10.1016/j.trac.2022.116659 |
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author | Ovais, Muhammad You, Min Ahmad, Jalal Djellabi, Ridha Ali, Arbab Akhtar, Mahmood Hassan Abbas, Manzar Chen, Chunying |
author_facet | Ovais, Muhammad You, Min Ahmad, Jalal Djellabi, Ridha Ali, Arbab Akhtar, Mahmood Hassan Abbas, Manzar Chen, Chunying |
author_sort | Ovais, Muhammad |
collection | PubMed |
description | Viral infections have been proven a severe threat to human beings, and the pandemic of Coronavirus Disease 2019 (COVID-19) has become a societal health concern, including mental distress and morbidity. Therefore, the early diagnosis and differentiation of viral infections are the prerequisite for curbing the local and global spread of viruses. To this end, carbon nanotubes (CNTs) based virus detection strategies are developed that provide feasible alternatives to conventional diagnostic techniques. Here in this review, an overview of the design and engineering of CNTs-based sensors for virus detection is summarized, followed by the nano-bio interactions used in developing biosensors. Then, we classify the viral sensors into covalently engineered CNTs, non-covalently engineered CNTs, and size-tunable CNTs arrays for viral detection, based on the type of CNTs-based nano-bio interfaces. Finally, the current challenges and prospects of CNTs-based sensors for virus detection are discussed. |
format | Online Article Text |
id | pubmed-9054723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90547232022-05-02 Engineering carbon nanotubes for sensitive viral detection Ovais, Muhammad You, Min Ahmad, Jalal Djellabi, Ridha Ali, Arbab Akhtar, Mahmood Hassan Abbas, Manzar Chen, Chunying Trends Analyt Chem Article Viral infections have been proven a severe threat to human beings, and the pandemic of Coronavirus Disease 2019 (COVID-19) has become a societal health concern, including mental distress and morbidity. Therefore, the early diagnosis and differentiation of viral infections are the prerequisite for curbing the local and global spread of viruses. To this end, carbon nanotubes (CNTs) based virus detection strategies are developed that provide feasible alternatives to conventional diagnostic techniques. Here in this review, an overview of the design and engineering of CNTs-based sensors for virus detection is summarized, followed by the nano-bio interactions used in developing biosensors. Then, we classify the viral sensors into covalently engineered CNTs, non-covalently engineered CNTs, and size-tunable CNTs arrays for viral detection, based on the type of CNTs-based nano-bio interfaces. Finally, the current challenges and prospects of CNTs-based sensors for virus detection are discussed. Elsevier B.V. 2022-08 2022-04-30 /pmc/articles/PMC9054723/ /pubmed/35527799 http://dx.doi.org/10.1016/j.trac.2022.116659 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ovais, Muhammad You, Min Ahmad, Jalal Djellabi, Ridha Ali, Arbab Akhtar, Mahmood Hassan Abbas, Manzar Chen, Chunying Engineering carbon nanotubes for sensitive viral detection |
title | Engineering carbon nanotubes for sensitive viral detection |
title_full | Engineering carbon nanotubes for sensitive viral detection |
title_fullStr | Engineering carbon nanotubes for sensitive viral detection |
title_full_unstemmed | Engineering carbon nanotubes for sensitive viral detection |
title_short | Engineering carbon nanotubes for sensitive viral detection |
title_sort | engineering carbon nanotubes for sensitive viral detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054723/ https://www.ncbi.nlm.nih.gov/pubmed/35527799 http://dx.doi.org/10.1016/j.trac.2022.116659 |
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