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使用功能化气溶胶喷射印刷有机电化学晶体管(OECTs)进行即时护理(POC)SARS-CoV-2抗原检测。

Point-of-care (POC) SARS-CoV-2 antigen detection using functionalized aerosol jet-printed organic electrochemical transistors (OECTs).

作者信息

Fan Jiaxin, Parr Sheldon, Kang Seongdae, Gupta Manisha

机构信息

Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, T6G 1H9, Canada.

Department of Chemical and Materials, University of Alberta, Edmonton, Alberta, T6G 1H9, Canada.

出版信息

Nanoscale. 2023 Mar 16;15(11):5476-5485. doi: 10.1039/d2nr06485e.

Abstract

The continuous spread of coronavirus disease 2019 (COVID-19) has highlighted the need for simple and reliable diagnostic technologies for point-of-care (POC) virus detection applications. Here, we report a COVID-19 diagnostic platform based on aerosol jet-printed antibody-functionalized organic electrochemical transistors (OECTs) for rapidly identifying severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) antigens. Selective sensing of SARS-CoV-2 spike S1 protein is achieved in phosphate-buffered saline (PBS) with a detectable range of 1 fg mL to 1 μg mL. We used the sensors to detect the antigens in unprocessed patient nasopharyngeal swab samples in universal transport medium (UTM) and achieved an overall accuracy of 70%. In addition, these patient sample tests clearly demonstrate that our OECT threshold voltage shift is correlated with the sample SARS-CoV-2 viral load. Hence, we have demonstrated an accurate POC biosensor for detecting SARS-CoV-2 antigens, which holds great promise towards developing on-site and at-home rapid SARS-CoV-2 infection screening and COVID-19 prognosis.

摘要

2019冠状病毒病(COVID-19)的持续传播凸显了对用于即时护理(POC)病毒检测应用的简单可靠诊断技术的需求。在此,我们报告了一种基于气溶胶喷射打印抗体功能化有机电化学晶体管(OECT)的COVID-19诊断平台,用于快速识别严重急性呼吸综合征冠状病毒2(SARS-CoV-2)抗原。在磷酸盐缓冲盐水(PBS)中实现了对SARS-CoV-2刺突S1蛋白的选择性传感,可检测范围为1 fg/mL至1 μg/mL。我们使用这些传感器检测通用运输介质(UTM)中未处理的患者鼻咽拭子样本中的抗原,总体准确率达到70%。此外,这些患者样本测试清楚地表明,我们的OECT阈值电压偏移与样本中的SARS-CoV-2病毒载量相关。因此,我们展示了一种用于检测SARS-CoV-2抗原的准确POC生物传感器,这对于开发现场和家庭快速SARS-CoV-2感染筛查及COVID-19预后评估具有巨大潜力。

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