Over the last few years, the SARS-CoV-2 pandemic has made the need for rapid, affordable diagnostics more compelling than ever. While traditional laboratory diagnostics like PCR and well-plate ELISA are sensitive and specific, they can be costly and take hours to complete. Diagnostic tests that can be used at the point-of-care or at home, like lateral flow assays (LFAs) are a simple, rapid alternative, but many commercially available LFAs have been criticized for their lack of sensitivity compared to laboratory methods like well-plate ELISAs. The Capillary-Driven Immunoassay (CaDI) device described in this work uses microfluidic channels and capillary action to passively automate the steps of a traditional well-plate ELISA for visual read out. This work builds on prior capillary-flow devices by further simplifying operation and use of colorimetric detection. Upon adding sample, an enzyme-conjugated secondary antibody, wash steps, and substrate are sequentially delivered to test and control lines on a nitrocellulose strip generating a colorimetric response. The end user can visually detect SARS-CoV-2 antigen in 15-20Â min by naked eye, or results can be quantified using a smartphone and software such as ImageJ. An analytical detection limit of 83Â PFU/mL for SARS-CoV-2 was determined for virus in buffer, and 222Â PFU/mL for virus spiked into nasal swabs using image analysis, similar to the LODs determined by traditional well-plate ELISA. Additionally, a visual detection limit of 100Â PFU/mL was determined in contrived nasal swab samples by polling 20 untrained end-users. While the CaDI device was used for detecting clinically relevant levels of SARS-CoV-2 in this study, the CaDI device can be easily adapted to other immunoassay applications by changing the reagents and antibodies.
Capillary flow-driven immunoassay platform for COVID-19 antigen diagnostics.
用于 COVID-19 抗原诊断的毛细管流动驱动免疫测定平台
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作者:Link Jeremy S, Carrell Cody S, Jang Ilhoon, Barstis Elijah J O, Call Zachary D, Bellows Rae A, O'Donnell-Sloan John J, Terry James S, Anderson Loran B R, Panraksa Yosita, Geiss Brian J, Dandy David S, Henry Charles S
| 期刊: | Analytica Chimica Acta | 影响因子: | 6.000 |
| 时间: | 2023 | 起止号: | 2023 Oct 9; 1277:341634 |
| doi: | 10.1016/j.aca.2023.341634 | 研究方向: | 其它 |
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