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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/13577


    Title: The early detection of immunoglobulins via optical-based lateral flow immunoassay platform in COVID-19 pandemic
    Authors: Chen, PY;Ko, CH;Wang, CJ;Chen, CW;Chiu, WH;Hong, C;Cheng, HM;Wang, IJ
    Contributors: National Institute of Environmental Health Sciences
    Abstract: The coronavirus disease (COVID-19) is the global public health challenge currently persisting at a grand scale. A method that meets the rapid quantitative detection of antibodies to assess the body's immune response from natural COVID-19 illness or vaccines' effects is urgently needed. In the present study, an attempt was made to integrate a newly designed spectrometer to the COVID-19 test strip procedure; this augmentation provides the quantitative capacity to a lateral flow immunoassay (LFIA). Optical interpretation of results by quantitative α index, rather than visual qualification, can be done quickly, in 5-10 minutes. The developed product was compared with several other serological IgM/IgG antibody reagents on the market by recruiting 111 participants suspected of having COVID-19 infection from March to May 2020 in a hospital. Taking RT-PCR as the diagnostic gold standard, the quantitative spectral LIFA platform could correctly detect all 12 COVID-19 patients. Concerning RT-PCR negative patients, all three antibody testing methods found positive cases. The optical-based platform exhibited the ability of early detection of immunoglobulins of RT-PCR negative patients. There was an apparent trend that elevation of IgM levels in the acute phase of infection; then IgG levels rose later. It exhibited the risk of a false-negative diagnosis of RT-PCR in COVID-19 testing. The significant detection ability of this new opticalbased platform demonstrated clinical potential.
    Date: 2021-07-20
    Relation: PLoS ONE. 2021 Jul 20;16(7):Article number e0254486.
    Link to: http://dx.doi.org/10.1371/journal.pone.0254486
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1932-6203&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000678123200004
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85110677376
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