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dc.contributor.authorHong, Moo Sun
dc.contributor.authorLu, Amos E.
dc.contributor.authorOu, Rui Wen
dc.contributor.authorWolfrum, Jacqueline M.
dc.contributor.authorSprings, Stacy L.
dc.contributor.authorSinskey, Anthony J.
dc.contributor.authorBraatz, Richard D.
dc.date.accessioned2022-02-16T18:37:33Z
dc.date.available2022-02-16T18:37:33Z
dc.date.issued2021-06-07
dc.identifier.issn0006-3592
dc.identifier.issn1097-0290
dc.identifier.urihttps://hdl.handle.net/1721.1/140434
dc.description.abstractBatch low-pH hold is a common processing step to inactivate enveloped viruses for biologics derived from mammalian sources. Increased interest in the transition of biopharmaceutical manufacturing from batch to continuous operation resulted in numerous attempts to adapt batch low-pH hold to continuous processing. However, control challenges with operating this system have not been directly addressed. This article describes a low-cost, column-based continuous viral inactivation system constructed with off-the-shelf components. Model-based, reaction-invariant pH controller is implemented to account for the nonlinearities with Bayesian estimation addressing variations in the operation. The residence time distribution is modeled as a plug flow reactor with axial dispersion in series with a continuously stirred tank reactor, and is periodically estimated during operation through inverse tracer experiments. The estimated residence time distribution quantifies the minimum residence time, which is used to adjust feed flow rates. Controller validation experiments demonstrate that pH and minimum residence time setpoint tracking and disturbance rejection are achieved with fast and accurate response and no instability. Viral inactivation testing demonstrates tight control of logarithmic reduction values over extended operation. This study provides tools for the design and operation of continuous viral inactivation systems in service of increasing productivity, improving product quality, and enhancing patient safety.en_US
dc.languageen
dc.publisherWileyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/bit.27846en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceWileyen_US
dc.titleModel‐based control for column‐based continuous viral inactivation of biopharmaceuticalsen_US
dc.typeArticleen_US
dc.identifier.citationHong, M. S., Lu, A. E., Ou, R. W., Wolfrum, J. M., Springs, S. L., Sinskey, A. J., & Braatz, R. D. (2021). Model-based control for column-based continuous viral inactivation of biopharmaceuticals. Biotechnology Bioengineering. 118, 3215– 3224.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biology
dc.contributor.departmentMassachusetts Institute of Technology. Center for Biomedical Innovation
dc.relation.journalBiotechnology and Bioengineeringen_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
dspace.date.submission2022-02-09T20:11:28Z
mit.journal.volume118en_US
mit.journal.issue8en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work Neededen_US


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