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Application of carbon nanomaterials in human virus detection
Human-pathogenic viruses are still a chief reason for illness and death on the globe, as epitomized by the COVID-19 pandemic instigated by a coronavirus in 2020. Multiple novel sensors have been invented because diseases must be detected and diagnosed as early as possible, and recognition methods ha...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Publishing services by Elsevier B.V. on behalf of Vietnam National University, Hanoi.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509950/ http://dx.doi.org/10.1016/j.jsamd.2020.09.005 |
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author | Ehtesabi, Hamide |
author_facet | Ehtesabi, Hamide |
author_sort | Ehtesabi, Hamide |
collection | PubMed |
description | Human-pathogenic viruses are still a chief reason for illness and death on the globe, as epitomized by the COVID-19 pandemic instigated by a coronavirus in 2020. Multiple novel sensors have been invented because diseases must be detected and diagnosed as early as possible, and recognition methods have to be carried out with minimal invasivity. Sensors have been particularly developed focusing on miniaturization by the use of nanomaterials for fabricating nanosensors. The nano-sized nature of nanomaterials and their exclusive optical, electronical, magnetical, and mechanical attributes can enhance patient care through the use of sensors with minimal invasivity and extreme sensitivity. Amongst the nanomaterials utilized for fabricating nano-sensors, carbon-based nanomaterials are promising as these sensors respond better to signals in various sensing settings. This review provides an overview of the recent developments in carbon nanomaterial-based biosensors for viral recognition based on the biomarkers that arise from the infection, the nucleic acids from the viruses, and the entire virus. The role of carbon nanomaterials is highlighted by the improvement of sensor and recognition functionality. The Dengue virus, Ebola virus, Hepatits virus, human immunodeficiency virus (HIV), influenza virus, Zika virus and Adenovirus are the virus types reviewed to illustrate the implementation of the techniques. Finally, the drawbacks and advantages of carbon nanomaterial-based biosensors for viral recognition are identified and discussed. |
format | Online Article Text |
id | pubmed-7509950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Authors. Publishing services by Elsevier B.V. on behalf of Vietnam National University, Hanoi. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75099502020-09-23 Application of carbon nanomaterials in human virus detection Ehtesabi, Hamide Journal of Science: Advanced Materials and Devices Review Article Human-pathogenic viruses are still a chief reason for illness and death on the globe, as epitomized by the COVID-19 pandemic instigated by a coronavirus in 2020. Multiple novel sensors have been invented because diseases must be detected and diagnosed as early as possible, and recognition methods have to be carried out with minimal invasivity. Sensors have been particularly developed focusing on miniaturization by the use of nanomaterials for fabricating nanosensors. The nano-sized nature of nanomaterials and their exclusive optical, electronical, magnetical, and mechanical attributes can enhance patient care through the use of sensors with minimal invasivity and extreme sensitivity. Amongst the nanomaterials utilized for fabricating nano-sensors, carbon-based nanomaterials are promising as these sensors respond better to signals in various sensing settings. This review provides an overview of the recent developments in carbon nanomaterial-based biosensors for viral recognition based on the biomarkers that arise from the infection, the nucleic acids from the viruses, and the entire virus. The role of carbon nanomaterials is highlighted by the improvement of sensor and recognition functionality. The Dengue virus, Ebola virus, Hepatits virus, human immunodeficiency virus (HIV), influenza virus, Zika virus and Adenovirus are the virus types reviewed to illustrate the implementation of the techniques. Finally, the drawbacks and advantages of carbon nanomaterial-based biosensors for viral recognition are identified and discussed. The Authors. Publishing services by Elsevier B.V. on behalf of Vietnam National University, Hanoi. 2020-12 2020-09-10 /pmc/articles/PMC7509950/ http://dx.doi.org/10.1016/j.jsamd.2020.09.005 Text en © 2020 The Authors 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 | Review Article Ehtesabi, Hamide Application of carbon nanomaterials in human virus detection |
title | Application of carbon nanomaterials in human virus detection |
title_full | Application of carbon nanomaterials in human virus detection |
title_fullStr | Application of carbon nanomaterials in human virus detection |
title_full_unstemmed | Application of carbon nanomaterials in human virus detection |
title_short | Application of carbon nanomaterials in human virus detection |
title_sort | application of carbon nanomaterials in human virus detection |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509950/ http://dx.doi.org/10.1016/j.jsamd.2020.09.005 |
work_keys_str_mv | AT ehtesabihamide applicationofcarbonnanomaterialsinhumanvirusdetection |