Development and validation of automated methods for COVID-19 PCR Master Mix preparation
Polymerase chain reaction (PCR)-based assays were widely deployed during the SARS-CoV-2 pandemic for population-scale testing. High-throughput molecular diagnostic laboratories required a high degree of process automation to cope with huge testing demands, fast turnaround times, and quality requirements. However, process developers and optimizers often neglected the critical step of preparing a PCR Master Mix. The construction of PCR Master Mix depends on operator skill during the manual pipetting of reagents. Manual procedures introduce variation, inconsistency, wastage, and potentially risks data integrity. To address this, we developed a liquid-handler-based solution for automated, traceable, and compliant PCR Master Mix preparation. Here, we show that a fully automated PCR Master Mix protocol can replace manual pipetting, even in a diagnostic environment, without affecting accuracy or precision. Ultimately, this method eliminated operator-induced wastage and improved the consistency of the quality of results.
Authors
- Donald P. Fraser (ORCID: https://orcid.org/0000-0002-5951-6365)
- Bobby Yau
- Miles Gibson (ORCID: https://orcid.org/0000-0001-8621-7611)
- Domenico Caputo (ORCID: https://orcid.org/0000-0002-9274-0596)
- Suki Lee (ORCID: https://orcid.org/0000-0002-2510-1372)
- Anika Wisniewska
- Benita Percival (ORCID: https://orcid.org/0000-0002-8769-8979)
- Giorgio Fedele (ORCID: https://orcid.org/0000-0002-9878-0070)
- Anna Di Biase (ORCID: https://orcid.org/0000-0002-4988-8798)
- Stefan Grujic (ORCID: https://orcid.org/0009-0006-6064-8521)
- Amelia Sweetford
- Denise Grovewood
- Rowda Dahir (ORCID: https://orcid.org/0009-0005-0030-1182)
- Paula Esquivias Ruiz-Dana
- Graham L. Hill
Institutions
- University of Huddersfield (GB)
- Animal and Plant Health Agency (GB)
- Utrecht University (NL)
- University of Cambridge (GB)
- Health Protection Scotland (GB)
- Melbourn Science Park (GB)
- Film Independent (US)
- Strix (United Kingdom) (GB)
- University of Calabria (IT)
Publication Details
- Journal
- SLAS TECHNOLOGY
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1016/j.slast.2024.100195
- Citations
- 1
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 0.39
Funders
- Department of Health and Social Care