Oil immersed lossless total analysis system for integrated RNA extraction and detection of SARS-CoV-2

Duane S. Juang, Terry D. Juang, Dawn M. Dudley, Christina M. Newman, Molly A. Accola, William M. Rehrauer, Thomas C. Friedrich, David H. O’Connor and David J. Beebe ()
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Duane S. Juang: University of Wisconsin-Madison
Terry D. Juang: University of Wisconsin-Madison
Dawn M. Dudley: University of Wisconsin-Madison
Christina M. Newman: University of Wisconsin-Madison
Molly A. Accola: University of Wisconsin Hospital and Clinics
William M. Rehrauer: University of Wisconsin-Madison
Thomas C. Friedrich: University of Wisconsin-Madison
David H. O’Connor: University of Wisconsin-Madison
David J. Beebe: University of Wisconsin-Madison

Nature Communications, 2021, vol. 12, issue 1, 1-9

Abstract: Abstract The COVID-19 pandemic exposed difficulties in scaling current quantitative PCR (qPCR)-based diagnostic methodologies for large-scale infectious disease testing. Bottlenecks include lengthy multi-step processes for nucleic acid extraction followed by qPCR readouts, which require costly instrumentation and infrastructure, as well as reagent and plastic consumable shortages stemming from supply chain constraints. Here we report an Oil Immersed Lossless Total Analysis System (OIL-TAS), which integrates RNA extraction and detection onto a single device that is simple, rapid, cost effective, and requires minimal supplies and infrastructure to perform. We validated the performance of OIL-TAS using contrived SARS-CoV-2 viral particle samples and clinical nasopharyngeal swab samples. OIL-TAS showed a 93% positive predictive agreement (n = 57) and 100% negative predictive agreement (n = 10) with clinical SARS-CoV-2 qPCR assays in testing clinical samples, highlighting its potential to be a faster, cheaper, and easier-to-deploy alternative for infectious disease testing.

Date: 2021
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DOI: 10.1038/s41467-021-24463-4

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