TY - JOUR
T1 - Accelerating Vaccine Manufacturing Development through Model-Based Approaches: Current Advances and Future Opportunities
AU - Ramin, Elham
AU - Cardillo, Antonio Gaetano
AU - Liebers, Reinhard
AU - Schmölder, Johannes
AU - von Lieres, Eric
AU - Van Molle, Wim
AU - Niebel, Bastian
AU - Natalis, Laurent
AU - Meln, Irina
AU - Perea-Vélez, Mónica
AU - Clénet, Didier
AU - Jørgensen, John Bagterp
AU - Nilsson, Bernt
AU - Bracewell, Daniel G.
AU - Gernaey, Krist V.
PY - 2024
Y1 - 2024
N2 - This review highlights the importance of model-based approaches in accelerating vaccine manufacturing process development. The challenges of scaling up from laboratory to commercial processes are addressed through the adoption of Process Analytical Technology frameworks and Quality by Design principles. The application of various modeling approaches beyond downstream and upstream processes in vaccine production is discussed in detail. These in silico process simulation approaches enable deeper understanding of manufacturing dynamics, identification of critical process parameters, and the development of well-defined design spaces, ultimately leading to accelerated vaccine development and improved product quality. The authors stress the significance of an integrated modeling platform for vaccine manufacturing, exemplified by the Inno4Vac project. This initiative seeks to develop a comprehensive computational platform for vaccine manufacturing and stability testing, with a particular focus on stakeholder engagement and collaboration with regulatory bodies to ensure the acceptance and implementation of the platform.
AB - This review highlights the importance of model-based approaches in accelerating vaccine manufacturing process development. The challenges of scaling up from laboratory to commercial processes are addressed through the adoption of Process Analytical Technology frameworks and Quality by Design principles. The application of various modeling approaches beyond downstream and upstream processes in vaccine production is discussed in detail. These in silico process simulation approaches enable deeper understanding of manufacturing dynamics, identification of critical process parameters, and the development of well-defined design spaces, ultimately leading to accelerated vaccine development and improved product quality. The authors stress the significance of an integrated modeling platform for vaccine manufacturing, exemplified by the Inno4Vac project. This initiative seeks to develop a comprehensive computational platform for vaccine manufacturing and stability testing, with a particular focus on stakeholder engagement and collaboration with regulatory bodies to ensure the acceptance and implementation of the platform.
U2 - 10.1016/j.coche.2023.100998
DO - 10.1016/j.coche.2023.100998
M3 - Journal article
SN - 2211-3398
VL - 43
JO - Current Opinion in Chemical Engineering
JF - Current Opinion in Chemical Engineering
M1 - 100998
ER -