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Effiziente SARS-CoV-2 quantitative Reverse Transkriptase PCR Speicheldiagnostikstrategie unter Verwendung von Open-Source-Pipettierrobotern
This content is Free Access.
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
Capítulos
- 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
Das Protokoll beschreibt eine SARS-CoV-2-Diagnosemethode, die Open-Source-Automatisierung nutzt, um RT-qPCR-molekulare Tests von Speichelproben durchzuführen. Dieser skalierbare Ansatz kann sowohl auf die klinische Überwachung der öffentlichen Gesundheit als auch auf die Erhöhung der Kapazität kleinerer Universitätslabors angewendet werden.
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
