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Real-time estimation of bound water concentration during lyophilization with temperature-based state observers

Author(s)
Srisuma, Prakitr; Barbastathis, George; Braatz, Richard D
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Creative Commons Attribution-Noncommercial-ShareAlike http://creativecommons.org/licenses/by-nc-sa/4.0/
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Abstract
Lyophilization (aka freeze drying) has been shown to provide long-term stability for many crucial biotherapeutics, e.g., mRNA vaccines for COVID-19, allowing for higher storage temperature. The final stage of lyophilization, namely secondary drying, entails bound water removal via desorption, in which accurate prediction of bound water concentration is vital to ensuring the quality of the lyophilized product. This article proposes a novel technique for real-time estimation of the bound water concentration during secondary drying in lyophilization. A state observer is employed, which combines temperature measurement and mechanistic understanding of heat transfer and desorption kinetics, without requiring any online concentration measurement. Results from both simulations and experimental data show that the observer can accurately estimate the concentration of bound water in real time for all possible concentration levels, operating conditions, and measurement noise. This framework can also be applied for monitoring and control of the residual moisture in other desorption-related processes.
Date issued
2024-11
URI
https://hdl.handle.net/1721.1/157660
Department
Massachusetts Institute of Technology. Center for Computational Science and Engineering; Massachusetts Institute of Technology. Department of Mechanical Engineering; Massachusetts Institute of Technology. Department of Chemical Engineering
Journal
International Journal of Pharmaceutics
Publisher
Elsevier BV
Citation
Srisuma, Prakitr, Barbastathis, George and Braatz, Richard D. 2024. "Real-time estimation of bound water concentration during lyophilization with temperature-based state observers." International Journal of Pharmaceutics, 665.
Version: Author's final manuscript

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