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Visual Detection of COVID-19 from Materials Aspect
ABSTRACT: In the recent COVID-19 pandemic, World Health Organization emphasized that early detection is an effective strategy to reduce the spread of SARS-CoV-2 viruses. Several diagnostic methods, such as reverse transcription-polymerase chain reaction (RT-PCR) and lateral flow immunoassay (LFIA),...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358106/ https://www.ncbi.nlm.nih.gov/pubmed/35966612 http://dx.doi.org/10.1007/s42765-022-00179-y |
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author | Wang, Gang Wang, Le Meng, Zheyi Su, Xiaolong Jia, Chao Qiao, Xiaolan Pan, Shaowu Chen, Yinjun Cheng, Yanhua Zhu, Meifang |
author_facet | Wang, Gang Wang, Le Meng, Zheyi Su, Xiaolong Jia, Chao Qiao, Xiaolan Pan, Shaowu Chen, Yinjun Cheng, Yanhua Zhu, Meifang |
author_sort | Wang, Gang |
collection | PubMed |
description | ABSTRACT: In the recent COVID-19 pandemic, World Health Organization emphasized that early detection is an effective strategy to reduce the spread of SARS-CoV-2 viruses. Several diagnostic methods, such as reverse transcription-polymerase chain reaction (RT-PCR) and lateral flow immunoassay (LFIA), have been applied based on the mechanism of specific recognition and binding of the probes to viruses or viral antigens. Although the remarkable progress, these methods still suffer from inadequate cellular materials or errors in the detection and sampling procedure of nasopharyngeal/oropharyngeal swab collection. Therefore, developing accurate, ultrafast, and visualized detection calls for more advanced materials and technology urgently to fight against the epidemic. In this review, we first summarize the current methodologies for SARS-CoV-2 diagnosis. Then, recent representative examples are introduced based on various output signals (e.g., colorimetric, fluorometric, electronic, acoustic). Finally, we discuss the limitations of the methods and provide our perspectives on priorities for future test development. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-9358106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-93581062022-08-09 Visual Detection of COVID-19 from Materials Aspect Wang, Gang Wang, Le Meng, Zheyi Su, Xiaolong Jia, Chao Qiao, Xiaolan Pan, Shaowu Chen, Yinjun Cheng, Yanhua Zhu, Meifang Adv Fiber Mater Review ABSTRACT: In the recent COVID-19 pandemic, World Health Organization emphasized that early detection is an effective strategy to reduce the spread of SARS-CoV-2 viruses. Several diagnostic methods, such as reverse transcription-polymerase chain reaction (RT-PCR) and lateral flow immunoassay (LFIA), have been applied based on the mechanism of specific recognition and binding of the probes to viruses or viral antigens. Although the remarkable progress, these methods still suffer from inadequate cellular materials or errors in the detection and sampling procedure of nasopharyngeal/oropharyngeal swab collection. Therefore, developing accurate, ultrafast, and visualized detection calls for more advanced materials and technology urgently to fight against the epidemic. In this review, we first summarize the current methodologies for SARS-CoV-2 diagnosis. Then, recent representative examples are introduced based on various output signals (e.g., colorimetric, fluorometric, electronic, acoustic). Finally, we discuss the limitations of the methods and provide our perspectives on priorities for future test development. GRAPHICAL ABSTRACT: [Image: see text] Springer Nature Singapore 2022-08-08 2022 /pmc/articles/PMC9358106/ /pubmed/35966612 http://dx.doi.org/10.1007/s42765-022-00179-y Text en © Donghua University, Shanghai, China 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Review Wang, Gang Wang, Le Meng, Zheyi Su, Xiaolong Jia, Chao Qiao, Xiaolan Pan, Shaowu Chen, Yinjun Cheng, Yanhua Zhu, Meifang Visual Detection of COVID-19 from Materials Aspect |
title | Visual Detection of COVID-19 from Materials Aspect |
title_full | Visual Detection of COVID-19 from Materials Aspect |
title_fullStr | Visual Detection of COVID-19 from Materials Aspect |
title_full_unstemmed | Visual Detection of COVID-19 from Materials Aspect |
title_short | Visual Detection of COVID-19 from Materials Aspect |
title_sort | visual detection of covid-19 from materials aspect |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358106/ https://www.ncbi.nlm.nih.gov/pubmed/35966612 http://dx.doi.org/10.1007/s42765-022-00179-y |
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