LAPSE:2023.4447
Published Article
LAPSE:2023.4447
Digital Twins for Continuous mRNA Production
Heribert Helgers, Alina Hengelbrock, Axel Schmidt, Jochen Strube
February 23, 2023
Abstract
The global coronavirus pandemic continues to restrict public life worldwide. An effective means of limiting the pandemic is vaccination. Messenger ribonucleic acid (mRNA) vaccines currently available on the market have proven to be a well-tolerated and effective class of vaccine against coronavirus type 2 (CoV2). Accordingly, demand is presently outstripping mRNA vaccine production. One way to increase productivity is to switch from the currently performed batch to continuous in vitro transcription, which has proven to be a crucial material-consuming step. In this article, a physico-chemical model of in vitro mRNA transcription in a tubular reactor is presented and compared to classical batch and continuous in vitro transcription in a stirred tank. The three models are validated based on a distinct and quantitative validation workflow. Statistically significant parameters are identified as part of the parameter determination concept. Monte Carlo simulations showed that the model is precise, with a deviation of less than 1%. The advantages of continuous production are pointed out compared to batchwise in vitro transcription by optimization of the space−time yield. Improvements of a factor of 56 (0.011 µM/min) in the case of the continuously stirred tank reactor (CSTR) and 68 (0.013 µM/min) in the case of the plug flow reactor (PFR) were found.
Keywords
continuous manufacturing, digital twin, mRNA, process analytical technology, quality by design, SARS-CoV-2, vaccines
Suggested Citation
Helgers H, Hengelbrock A, Schmidt A, Strube J. Digital Twins for Continuous mRNA Production. (2023). LAPSE:2023.4447
Author Affiliations
Helgers H: Institute for Separation and Process Technology, Clausthal University of Technology, Leibnizstr. 15, 38678 Clausthal-Zellerfeld, Germany
Hengelbrock A: Institute for Separation and Process Technology, Clausthal University of Technology, Leibnizstr. 15, 38678 Clausthal-Zellerfeld, Germany
Schmidt A: Institute for Separation and Process Technology, Clausthal University of Technology, Leibnizstr. 15, 38678 Clausthal-Zellerfeld, Germany [ORCID]
Strube J: Institute for Separation and Process Technology, Clausthal University of Technology, Leibnizstr. 15, 38678 Clausthal-Zellerfeld, Germany
Journal Name
Processes
Volume
9
Issue
11
First Page
1967
Year
2021
Publication Date
2021-11-04
ISSN
2227-9717
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Original Submission
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PII: pr9111967, Publication Type: Journal Article
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LAPSE:2023.4447
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https://doi.org/10.3390/pr9111967
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