Visual Detection of COVID-19 from Materials Aspect

Gang Wang , Le Wang , Zheyi Meng , Xiaolong Su , Chao Jia , Xiaolan Qiao , Shaowu Pan , Yinjun Chen , Yanhua Cheng , Meifang Zhu

Advanced Fiber Materials ›› 2022, Vol. 4 ›› Issue (6) : 1304 -1333.

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Advanced Fiber Materials ›› 2022, Vol. 4 ›› Issue (6) : 1304 -1333. DOI: 10.1007/s42765-022-00179-y
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Visual Detection of COVID-19 from Materials Aspect

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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.

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Gang Wang, Le Wang, Zheyi Meng, Xiaolong Su, Chao Jia, Xiaolan Qiao, Shaowu Pan, Yinjun Chen, Yanhua Cheng, Meifang Zhu. Visual Detection of COVID-19 from Materials Aspect. Advanced Fiber Materials, 2022, 4(6): 1304-1333 DOI:10.1007/s42765-022-00179-y

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National Key Research and Development Program of China(2021YFA1201301)

Science and Technology Commission of Shanghai Municipality(20JC1414900)

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