Digital Twins for Continuous mRNA Production
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...
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MDPI AG
2021
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oai:doaj.org-article:248bac1f7ea2484c9aeea8689d2854f22021-11-25T18:50:57ZDigital Twins for Continuous mRNA Production10.3390/pr91119672227-9717https://doaj.org/article/248bac1f7ea2484c9aeea8689d2854f22021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9717/9/11/1967https://doaj.org/toc/2227-9717The 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 <i>in vitro</i> transcription, which has proven to be a crucial material-consuming step. In this article, a physico-chemical model of <i>in vitro</i> mRNA transcription in a tubular reactor is presented and compared to classical batch and continuous <i>in vitro</i> 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 <i>in vitro</i> 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.Heribert HelgersAlina HengelbrockAxel SchmidtJochen StrubeMDPI AGarticlemRNASARS-CoV-2vaccinesdigital twinquality by designprocess analytical technologyChemical technologyTP1-1185ChemistryQD1-999ENProcesses, Vol 9, Iss 1967, p 1967 (2021) |
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mRNA SARS-CoV-2 vaccines digital twin quality by design process analytical technology Chemical technology TP1-1185 Chemistry QD1-999 |
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mRNA SARS-CoV-2 vaccines digital twin quality by design process analytical technology Chemical technology TP1-1185 Chemistry QD1-999 Heribert Helgers Alina Hengelbrock Axel Schmidt Jochen Strube Digital Twins for Continuous mRNA Production |
description |
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 <i>in vitro</i> transcription, which has proven to be a crucial material-consuming step. In this article, a physico-chemical model of <i>in vitro</i> mRNA transcription in a tubular reactor is presented and compared to classical batch and continuous <i>in vitro</i> 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 <i>in vitro</i> 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. |
format |
article |
author |
Heribert Helgers Alina Hengelbrock Axel Schmidt Jochen Strube |
author_facet |
Heribert Helgers Alina Hengelbrock Axel Schmidt Jochen Strube |
author_sort |
Heribert Helgers |
title |
Digital Twins for Continuous mRNA Production |
title_short |
Digital Twins for Continuous mRNA Production |
title_full |
Digital Twins for Continuous mRNA Production |
title_fullStr |
Digital Twins for Continuous mRNA Production |
title_full_unstemmed |
Digital Twins for Continuous mRNA Production |
title_sort |
digital twins for continuous mrna production |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/248bac1f7ea2484c9aeea8689d2854f2 |
work_keys_str_mv |
AT heriberthelgers digitaltwinsforcontinuousmrnaproduction AT alinahengelbrock digitaltwinsforcontinuousmrnaproduction AT axelschmidt digitaltwinsforcontinuousmrnaproduction AT jochenstrube digitaltwinsforcontinuousmrnaproduction |
_version_ |
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