Detection of 2019-nCoV by RT-qPCR
This example method provides a freely adjustable framework for measuring the adaptability of the OneLab environment to workflows from different application fields. It helps to understand various nuances of the code-free, universal protocol designer and provides general indications as to the feasibility of a project. Scripts generally require fine adjustment to correct for variables and support specific labware implementation.
Published by
Andrew Alliance
Version 2, 16 Sep 2022 at 6:44 AM
Real-time qPCR is widely used to detect infectious pathogens in human secretions. Preventive, control measures against 2019-nCoV critically depend on the timely and accurate diagnosis of cases.
Automating the reaction preparation of the 2019-nCoV Real-Time RT-PCR Diagnostic Panel will significantly reduce pipetting errors and decreases hands-on time, ensuring more accurate and timely results.
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Please note that this is a “Get Started Method”
This example method provides a freely adjustable framework for measuring the adaptability of the OneLab environment to workflows from different application fields. It helps to understand various nuances of the code-free, universal protocol designer and provides general indications as to the feasibility of a project. Scripts generally require fine adjustment to correct for variables and support specific labware implementation.
Protocols
1
1-Step RT-qPCR Reaction Setup for Detection of 2019-nCoV
Detection of RNA from 2019-nCoV in respiratory specimens by RT-qPCR using the CDC 2019-nCoV Real-Time RT-PCR Diagnostic Panel:
-REF: Catalog # 2019-nCoVEUA-01, 1000 reactions
-Instructions for Use Package Insert: CDC-006-00019, Revision 05.
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Published by
Andrew Alliance
Reproducibility and traceability for your laboratory, starting from serial dilution design. Connected devices for your lab, allowing you to run daily experiments with effiiciency. affordable automation. Error-free pipetting. Save your time. save your health.
This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 