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; David J. Beebe

doi:10.1038/s41467-021-24463-4

Nature Communications (Jul 2021)

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,
David J. Beebe

Affiliations

Duane S. Juang: Department of Biomedical Engineering, University of Wisconsin-Madison
Terry D. Juang: Department of Biomedical Engineering, University of Wisconsin-Madison
Dawn M. Dudley: Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison
Christina M. Newman: Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison
Molly A. Accola: UW Health Clinical Laboratories, University of Wisconsin Hospital and Clinics
William M. Rehrauer: Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison
Thomas C. Friedrich: Wisconsin National Primate Research Center, University of Wisconsin-Madison
David H. O’Connor: Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison
David J. Beebe: Department of Biomedical Engineering, University of Wisconsin-Madison

DOI: https://doi.org/10.1038/s41467-021-24463-4
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 9

Abstract

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Bottlenecks in qPCR-based COVID-19 diagnostics include the lengthy multistep process and reagent shortages. Here the authors report OIL-TAS which integrates RNA extraction and detection into a single device.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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