期刊
BIOSENSORS & BIOELECTRONICS
卷 171, 期 -, 页码 -出版社
ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2020.112709
关键词
Impedance spectroscopy; SARS-CoV-2; Capacitive immunosensors; Antibodies; Label-free
类别
资金
- Jewish Heritage Fund for Excellence
- Owsley Brown Family Foundation
The study demonstrates a rapid method for detecting COVID-19 antibodies using a commercially available impedance sensing platform. The platform successfully differentiated and detected positive clinical samples from negative controls, showing a strong correlation with standard ELISA test results. Detection occurs in less than five minutes, making it a promising tool for clinical settings.
Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was classified as a pandemic by the World Health Organization and has caused over 550,000 deaths worldwide as of July 2020. Accurate and scalable point-of-care devices would increase screening, diagnosis, and monitoring of COVID-19 patients. Here, we demonstrate rapid label-free electrochemical detection of SARS-CoV-2 antibodies using a commercially available impedance sensing platform. A 16-well plate containing sensing electrodes was pre-coated with receptor binding domain (RBD) of SARS-CoV-2 spike protein, and subsequently tested with samples of anti-SARS-CoV-2 monoclonal antibody CR3022 (0.1 mu g/ml, 1.0 mu g/ml, 10 mu g/ml). Subsequent blinded testing was performed on six serum specimens taken from COVID-19 and non-COVID-19 patients (1:100 dilution factor). The platform was able to differentiate spikes in impedance measurements from a negative control (1% milk solution) for all CR3022 samples. Further, successful differentiation and detection of all positive clinical samples from negative control was achieved. Measured impedance values were consistent when compared to standard ELISA test results showing a strong correlation between them (R-2 = 0.9). Detection occurs in less than five minutes and the well-based platform provides a simplified and familiar testing interface that can be readily adaptable for use in clinical settings.
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