Cargando…

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),...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Gang, Wang, Le, Meng, Zheyi, Su, Xiaolong, Jia, Chao, Qiao, Xiaolan, Pan, Shaowu, Chen, Yinjun, Cheng, Yanhua, Zhu, Meifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
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
_version_ 1784763861220458496
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
work_keys_str_mv AT wanggang visualdetectionofcovid19frommaterialsaspect
AT wangle visualdetectionofcovid19frommaterialsaspect
AT mengzheyi visualdetectionofcovid19frommaterialsaspect
AT suxiaolong visualdetectionofcovid19frommaterialsaspect
AT jiachao visualdetectionofcovid19frommaterialsaspect
AT qiaoxiaolan visualdetectionofcovid19frommaterialsaspect
AT panshaowu visualdetectionofcovid19frommaterialsaspect
AT chenyinjun visualdetectionofcovid19frommaterialsaspect
AT chengyanhua visualdetectionofcovid19frommaterialsaspect
AT zhumeifang visualdetectionofcovid19frommaterialsaspect