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Zhao H, Liu F, Xie W, Zhou TC, OuYang J, Jin L, Li H, Zhao CY, Zhang L, Wei J, Zhang YP, Li CP. Ultrasensitive supersandwich-type electrochemical sensor for SARS-CoV-2 from the infected COVID-19 patients using a smartphone. Sens Actuators B Chem 2021; 327:128899. [PMID: 32952300 PMCID: PMC7489230 DOI: 10.1016/j.snb.2020.128899] [Citation(s) in RCA: 231] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 09/05/2020] [Accepted: 09/10/2020] [Indexed: 05/02/2023]
Abstract
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 μL) 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.
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Affiliation(s)
- Hui Zhao
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China
| | - Feng Liu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China
| | - Wei Xie
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China
| | - Tai-Cheng Zhou
- Central Lab, Liver Disease Research Center, the Second People's Hospital of Yunnan Province, Kunming, 650021, China
| | - Jun OuYang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China
| | - Lian Jin
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China
| | - Hui Li
- Central Lab, Liver Disease Research Center, the Second People's Hospital of Yunnan Province, Kunming, 650021, China
| | - Chun-Yan Zhao
- Central Lab, Liver Disease Research Center, the Second People's Hospital of Yunnan Province, Kunming, 650021, China
| | - Liang Zhang
- Central Lab, Liver Disease Research Center, the Second People's Hospital of Yunnan Province, Kunming, 650021, China
| | - Jia Wei
- Central Lab, Liver Disease Research Center, the Second People's Hospital of Yunnan Province, Kunming, 650021, China
| | - Ya-Ping Zhang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Can-Peng Li
- School of Chemical Science and Technology, Yunnan University, Kunming, 650091, China
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