Ultrasensitive supersandwich-type electrochemical sensor for SARS-CoV-2 from the infected COVID-19 patients using a smartphone

SENSORS AND ACTUATORS B-CHEMICAL

卷:327

Article

Zhao, Hui¹  Liu, Feng¹  Xie, Wei¹  Zhou, Tai-Cheng²  OuYang, Jun¹  Jin, Lian¹  Li, Hui²  Zhao, Chun-Yan²  Zhang, Liang²  Wei, Jia²  Zhang, Ya-Ping^1,3  Li, Can-Peng⁴ 

[1] Yunnan Univ, Sch Life Sci, State Key Lab Conservat & Utilizat Bioresources Y, Kunming 650091, Yunnan, Peoples R China

[2] Second Peoples Hosp Yunnan Prov, Liver Dis Res Ctr, Cent Lab, Kunming 650021, Yunnan, Peoples R China

[3] Chinese Acad Sci, Kunming Inst Zool, State Key Lab Genet Resources & Evolut, Kunming 650223, Yunnan, Peoples R China

[4] Yunnan Univ, Sch Chem Sci & Technol, Kunming 650091, Yunnan, Peoples R China

关键词: SARS-CoV-2;    Electrochemical biosensor;    Supersandwich-type biosensor;    Smartphone;    Calixarene;   

DOI  :  10.1016/j.snb.2020.128899

来源: Elsevier

【 摘 要 】

The recent pandemic outbreak of COVID-19 caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), poses a threat to public health globally. Thus, developing a rapid, accurate, and easy-to-implement diagnostic system for SARS-CoV-2 is crucial for controlling infection sources and monitoring illness progression. Here, we reported an ultrasensitive electrochemical detection technology using calixarene functionalized graphene oxide for targeting RNA of SARS-CoV-2. Based on a supersandwich-type recognition strategy, the technology was confirmed to practicably detect the RNA of SARS-CoV-2 without nucleic acid amplification and reverse-transcription by using a portable electrochemical smartphone. The biosensor showed high specificity and selectivity during in silico analysis and actual testing. A total of 88 RNA extracts from 25 SARS-CoV-2-confirmed patients and eight recovery patients were detected using the biosensor. The detectable ratios (85.5 % and 46.2 %) were higher than those obtained using RT-qPCR (56.5 % and 7.7 %). The limit of detection (LOD) of the clinical specimen was 200 copies/mL, which is the lowest LOD among the published RNA measurement of SARS-CoV-2 to date. Additionally, only two copies (10 mu L) of SARS-CoV-2 were required for per assay. Therefore, we developed an ultrasensitive, accurate, and convenient assay for SARS-CoV-2 detection, providing a potential method for point-of-care testing.

【 授权许可】

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