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Paper-based devices for rapid diagnostics and testing sewage for early warning of COVID-19 outbreak
Coronavirus disease (COVID-19), caused by SARS-CoV-2, evolved into a global pandemic in 2020, and the outbreak has taken an enormous toll on individuals, families, communities and societies around the world. One practical and effective strategy is to implement rapid case identification based on a ra...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700740/ http://dx.doi.org/10.1016/j.cscee.2020.100064 |
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author | Hui, Qingxin Pan, Yuwei Yang, Zhugen |
author_facet | Hui, Qingxin Pan, Yuwei Yang, Zhugen |
author_sort | Hui, Qingxin |
collection | PubMed |
description | Coronavirus disease (COVID-19), caused by SARS-CoV-2, evolved into a global pandemic in 2020, and the outbreak has taken an enormous toll on individuals, families, communities and societies around the world. One practical and effective strategy is to implement rapid case identification based on a rapid testing to respond to this public health crisis. Currently, the available technologies used for rapid diagnostics include RT-PCR, RT-LAMP, ELISA and NGS. Still, due to their different limitations, they are not well suited for rapid diagnosis in a variety of locations. Paper-based devices are alternative approaches to achieve rapid diagnosis, which are cost-effective, highly selective, sensitive, portable, and easy-to-use. In addition to individual virus screening, wastewater-based epidemiology has been emerged to be an effective way for early warning of outbreak within the population, which tests viral genome sequence to reflect information on the spread and distribution of the virus because SARS-CoV-2 can be shed into wastewater through the feces and urine from infected population. In this paper, we describe paper-based device as a low-cost and rapid sensor for both diagnosis and testing of sewage for early warning of outbreak. More importantly, the device has great potential for real-time detection in the field, without any advanced facilities or well-trained and skilled personnel, and provides early warning or timely intervention of an outbreak of pandemic. |
format | Online Article Text |
id | pubmed-7700740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77007402020-12-01 Paper-based devices for rapid diagnostics and testing sewage for early warning of COVID-19 outbreak Hui, Qingxin Pan, Yuwei Yang, Zhugen Case Studies in Chemical and Environmental Engineering Article Coronavirus disease (COVID-19), caused by SARS-CoV-2, evolved into a global pandemic in 2020, and the outbreak has taken an enormous toll on individuals, families, communities and societies around the world. One practical and effective strategy is to implement rapid case identification based on a rapid testing to respond to this public health crisis. Currently, the available technologies used for rapid diagnostics include RT-PCR, RT-LAMP, ELISA and NGS. Still, due to their different limitations, they are not well suited for rapid diagnosis in a variety of locations. Paper-based devices are alternative approaches to achieve rapid diagnosis, which are cost-effective, highly selective, sensitive, portable, and easy-to-use. In addition to individual virus screening, wastewater-based epidemiology has been emerged to be an effective way for early warning of outbreak within the population, which tests viral genome sequence to reflect information on the spread and distribution of the virus because SARS-CoV-2 can be shed into wastewater through the feces and urine from infected population. In this paper, we describe paper-based device as a low-cost and rapid sensor for both diagnosis and testing of sewage for early warning of outbreak. More importantly, the device has great potential for real-time detection in the field, without any advanced facilities or well-trained and skilled personnel, and provides early warning or timely intervention of an outbreak of pandemic. The Authors. Published by Elsevier Ltd. 2020-09 2020-11-29 /pmc/articles/PMC7700740/ http://dx.doi.org/10.1016/j.cscee.2020.100064 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 | Article Hui, Qingxin Pan, Yuwei Yang, Zhugen Paper-based devices for rapid diagnostics and testing sewage for early warning of COVID-19 outbreak |
title | Paper-based devices for rapid diagnostics and testing sewage for early warning of COVID-19 outbreak |
title_full | Paper-based devices for rapid diagnostics and testing sewage for early warning of COVID-19 outbreak |
title_fullStr | Paper-based devices for rapid diagnostics and testing sewage for early warning of COVID-19 outbreak |
title_full_unstemmed | Paper-based devices for rapid diagnostics and testing sewage for early warning of COVID-19 outbreak |
title_short | Paper-based devices for rapid diagnostics and testing sewage for early warning of COVID-19 outbreak |
title_sort | paper-based devices for rapid diagnostics and testing sewage for early warning of covid-19 outbreak |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700740/ http://dx.doi.org/10.1016/j.cscee.2020.100064 |
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