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Oil immersed lossless total analysis system for integrated RNA extraction and detection of SARS-CoV-2.
Juang, Duane S; Juang, Terry D; Dudley, Dawn M; Newman, Christina M; Accola, Molly A; Rehrauer, William M; Friedrich, Thomas C; O'Connor, David H; Beebe, David J.
  • Juang DS; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
  • Juang TD; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
  • Dudley DM; Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA.
  • Newman CM; Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA.
  • Accola MA; UW Health Clinical Laboratories, University of Wisconsin Hospital and Clinics, Madison, WI, USA.
  • Rehrauer WM; Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA.
  • Friedrich TC; UW Health Clinical Laboratories, University of Wisconsin Hospital and Clinics, Madison, WI, USA.
  • O'Connor DH; Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI, USA.
  • Beebe DJ; Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, USA.
Nat Commun ; 12(1): 4317, 2021 07 14.
Article in English | MEDLINE | ID: covidwho-1310803
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Nucleic Acid Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2021 Document Type: Article Affiliation country: S41467-021-24463-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Nucleic Acid Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2021 Document Type: Article Affiliation country: S41467-021-24463-4