Multichannel Immunosensor Platform for the Rapid Detection of SARS-CoV-2 and Influenza A(H1N1) Virus

病毒学 免疫分析 病毒 冠状病毒 辣根过氧化物酶 抗体 2019年冠状病毒病(COVID-19) 甲型流感病毒 血凝素(流感) 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 呼吸系统 检测点注意事项 医学 生物 免疫学 传染病(医学专业) 疾病 内科学 生物化学
作者
Jianyong Li,Rui Lin,Yi Yang,Rongtao Zhao,Shiping Song,Yi Zhou,Jiye Shi,Lihua Wang,Hongbin Song,Rongzhang Hao
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:13 (19): 22262-22270 被引量:56
标识
DOI:10.1021/acsami.1c05770
摘要

The coronavirus disease 2019 (COVID-19) can present a similar syndrome to an influenza infection, which may complicate diagnosis and clinical management of these two important respiratory infectious diseases, especially during the peak season of influenza. A rapid and convenient point-of-care test (POCT) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza virus is of great importance for prompt and efficient control of these respiratory epidemics. Herein, a multichannel electrochemical immunoassay (MEIA) platform was developed based on a disposable screen-printed carbon electrode (SPCE) array for the on-site detection of SARS-CoV-2 and A(H1N1). The developed MEIA was constructed with eight channels and allowed rapid detection on a single array. On the SPCE surface, monoclonal antibodies against influenza A(H1N1) hemagglutinin (HA) protein or SARS-CoV-2 spike protein were coated to capture the target antigens, which then interacted with a horseradish peroxidase (HRP)-labeled detection antibody to form an immuno-sandwich complex. The results showed that the MEIA exhibited a broader linear range than ELISA and comparable sensitivity for A(H1N1) HA and SARS-CoV-2 spike protein. The detection results on 79 clinical samples for A(H1N1) suggested that the proposed MEIA platform showed comparable results with ELISA in sensitivity (with a positive rate of 100% for positive samples) but higher specificity, with a false-positive rate of 5.4% for negative samples versus that of 40.5% with ELISA. Thus, it offers great potential for the on-the-spot differential diagnosis of infected patients, which would significantly benefit the efficient control and prevent the spread of these infectious diseases in communities or resource-limited regions in the future.
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