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dc.contributor.authorSrisuma, Prakitr
dc.contributor.authorBarbastathis, George
dc.contributor.authorBraatz, Richard D
dc.date.accessioned2024-11-22T18:01:38Z
dc.date.available2024-11-22T18:01:38Z
dc.date.issued2024-11
dc.identifier.urihttps://hdl.handle.net/1721.1/157660
dc.description.abstractLyophilization (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.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/j.ijpharm.2024.124693en_US
dc.rightsCreative Commons Attribution-Noncommercial-ShareAlikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearxiven_US
dc.titleReal-time estimation of bound water concentration during lyophilization with temperature-based state observersen_US
dc.typeArticleen_US
dc.identifier.citationSrisuma, 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.
dc.contributor.departmentMassachusetts Institute of Technology. Center for Computational Science and Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.relation.journalInternational Journal of Pharmaceuticsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-11-22T17:51:04Z
dspace.orderedauthorsSrisuma, P; Barbastathis, G; Braatz, RDen_US
dspace.date.submission2024-11-22T17:51:07Z
mit.journal.volume665en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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