Preprint Article Version 1 This version is not peer-reviewed

Speeding Up COVID-19 Detection Using Shaker-Mill Homogenization and a Direct-to-PCR Workflow

Version 1 : Received: 30 July 2020 / Approved: 31 July 2020 / Online: 31 July 2020 (09:31:18 CEST)

How to cite: Morehouse, Z.P.; Proctor, C.M.; Ryan, G.L.; Nash, R.J. Speeding Up COVID-19 Detection Using Shaker-Mill Homogenization and a Direct-to-PCR Workflow. Preprints 2020, 2020070740 (doi: 10.20944/preprints202007.0740.v1). Morehouse, Z.P.; Proctor, C.M.; Ryan, G.L.; Nash, R.J. Speeding Up COVID-19 Detection Using Shaker-Mill Homogenization and a Direct-to-PCR Workflow. Preprints 2020, 2020070740 (doi: 10.20944/preprints202007.0740.v1).

Abstract

Accurate and timely testing has become an essential measure in combatting the COVID-19 global pandemic. Currently, polymerase chain reaction (PCR) based assays are the most relied on methods for SARS-CoV-2 detection. This traditional workflow involves a viral RNA extraction from the viral transport media storing nasopharyngeal swabs collected from patients, followed by PCR based detection. While accurate, this methodology is time consuming and resource heavy, causing for delays in receiving results or limited access to testing. Herein, we demonstrate a validated method for SARS-CoV-2 detection from viral transport media using a two-step, direct-to-PCR workflow revolving around shaker-mill homogenization. This method completely bypasses the extraction steps of the traditional workflow, replacing it with 30 seconds of mechanical disruption sufficient to allow for COVID-19 detection with a 96.43% sensitivity and 100% specificity when compared to traditional extraction to PCR based methods.

Subject Areas

COVID-19; Virus Detection; Viral Diagnostics; Diagnostics; SARS-CoV-2; Coronavirus; PCR

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.