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Efficiënte SARS-CoV-2 Quantitative Reverse Transcriptase PCR Speeksel diagnostische strategie met behulp van Open-Source Pipetteerrobots
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1Center for Innovative Medical Devices and Sensors (REDDI Lab),Clemson University, 2Department of Bioengineering,Clemson University, 3Swann Medicine, 4Student Health Services,Clemson University, 5Department of Chemical & Biomolecular Engineering,Clemson University, 6Department of Chemical & Biomolecular Engineering,University of Delaware
Capitoli
- 00:04Introduction
- 00:56Sample Intake, Heat Treatment, and Sample Assignment
- 01:52Operating Sample Loading Robots
- 04:09Manual Sample Loading
- 04:52Addition of Controls to Testing Plates
- 05:54Performing RT-qPCR and Determining Plate Validity
- 07:00Interpreting Sample Results
- 08:08Results: RT-qPCR Detection of N1 (SARS-CoV-2) Synthetic RNA and P1 (Hs_RPP30) Synthetic DNA, Comparison Between Manual and Automated Saliva Transfer N1 Ct Values, and Evaluation of Heat Treatment Methods for Viscosity Reduction in Saliva
- 10:26Conclusion
Het protocol beschrijft een SARS-CoV-2 diagnostische methode die open-source automatisering gebruikt om RT-qPCR moleculaire testen van speekselmonsters uit te voeren. Deze schaalbare aanpak kan worden toegepast op klinisch toezicht op de volksgezondheid en om de capaciteit van kleinere universitaire laboratoria te vergroten.
Tags
Keywords Extracted From The Given Text:SARS-CoV-2Quantitative Reverse Transcriptase PCRSaliva DiagnosticOpen-source Pipetting RobotsCOVID-19 DiagnosticsSaliva-based TestingAutomated Parallel WorkflowsSample DecontaminationHeat TreatmentSample LoadingSample Assignment3D Printed RacksMaster Mix PlatesPython Operating Protocol
