Diagnostic methods and potential portable biosensors for coronavirus disease 2019
Diagnostic methods and potential portable biosensors for coronavirus disease 2019
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DOI：
10.1016/j.bios.2020.112349
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发表时间：
2020-10-01
影响因子：
12.6
通讯作者：
Zhou, H. Susan
中科院分区：
文献类型：
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作者：
Cui, Feiyun;Zhou, H. Susan
迫切需要及时检测和诊断，以指导流行病学措施、感染控制、抗病毒治疗和疫苗研究。本文综述了2019冠状病毒病（COVID-19）诊断或环境中严重急性呼吸综合征冠状病毒2（SARS-CoV-2）检测的生物标志物/指标。结论是针对抗体的检测方法不适合筛查早期和无症状病例，因为大多数患者在症状发作后约10天出现抗体应答。然而，抗体检测方法可以与定量实时逆转录酶-聚合酶链反应（RT-qPCR）相结合，以显著提高诊断的灵敏度和特异性，并推动疫苗研究。因此，迫切需要开发快速、灵敏、准确的针对抗原的检测方法。对用于诊断或检测的各种标本进行比较和分析。其中，深咽唾液和诱导痰是RT-qPCR检测或其他早期检测技术所希望的。总结并比较胸部CT扫描、RT-qPCR、侧流免疫层析试纸条（LFICS）诊断COVID-19的方法。重点介绍了电位电化学（EC）生物传感器、基于表面增强拉曼散射（Sers）的生物传感器、基于场效应晶体管（FET）的生物传感器、基于表面等离子体共振（SPR）的生物传感器和人工智能（AI）辅助诊断COVID-19。最后，讨论了一些商业化的便携式检测设备，目前面临的挑战和未来的发展方向。
Timely detection and diagnosis are urgently needed to guide epidemiological measures, infection control, antiviral treatment, and vaccine research. In this review, biomarkers/indicators for diagnosis of coronavirus disease 2019 (COVID-19) or detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the environment are summarized and discussed. It is concluded that the detection methods targeting antibodies are not suitable for screening of early and asymptomatic cases since most patients had an antibody response at about 10 days after onset of symptoms. However, antibody detection methods can be combined with quantitative realtime reverse transcriptase-polymerase chain reaction (RT-qPCR) to significantly improve the sensitivity and specificity of diagnosis, and boost vaccine research. Fast, sensitive and accurate detection methods targeting antigens need to be developed urgently. Various specimens for diagnosis or detection are compared and analyzed. Among them, deep throat saliva and induced sputum are desired for RT-qPCR test or other early detection technologies. Chest computerized tomography (CT) scan, RT-qPCR, lateral flow immunochromatographic strip (LFICS) for diagnosis of COVID-19 are summarized and compared. Specially, potential electrochemical (EC) biosensor, surface enhanced Raman scattering (SERS)-based biosensor, field-effect transistor (FET)-based biosensor, surface plasmon resonance (SPR)-based biosensor and artificial intelligence (AI) assisted diagnosis of COVID-19 are emphasized. Finally, some commercialized portable detection device, current challenges and future directions are discussed.