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Challenges and opportunities in biopharmaceutical manufacturing control

DC Field Value Language
dc.contributor.authorHong, Moo Sun-
dc.contributor.authorSeverson, Kristen A.-
dc.contributor.authorJiang, Mo-
dc.contributor.authorLu, Amos E.-
dc.contributor.authorLove, J. Christopher-
dc.contributor.authorBraatz, Richard D.-
dc.date.accessioned2024-05-08T07:29:29Z-
dc.date.available2024-05-08T07:29:29Z-
dc.date.created2024-05-08-
dc.date.issued2018-02-
dc.identifier.citationCOMPUTERS & CHEMICAL ENGINEERING, Vol.110, pp.106-114-
dc.identifier.issn0098-1354-
dc.identifier.urihttps://hdl.handle.net/10371/201237-
dc.description.abstractThis article provides a perspective on control and operations for biopharmaceutical manufacturing. Challenges and opportunities are described for (1) microscale technologies for high-speed continuous processing, (2) plug-and-play modular unit operations with integrated monitoring and control systems, (3) dynamic modeling of unit operations and entire biopharmaceutical manufacturing plants to support process development and plant-wide control, and (4) model-based control technologies for optimizing startup, changeover, and shutdown. A challenge is the ability to simultaneously address the uncertainties, nonlinearities, time delays, non-minimum phase behavior, constraints, spatial distributions, and mixed continuous-discrete operations that arise in biopharmaceutical operations. The design of adaptive and hybrid control strategies is discussed. Process data analytics and grey-box modeling methods are needed to deal with the heterogeneity and tensorial dimensionality of biopharmaceutical data. Novel bioseparations as discussed as a potential cost-effective unit operation, with a discussion of challenges for the widespread application of crystallization to therapeutic proteins. (c) 2017 Elsevier Ltd. All rights reserved.-
dc.language영어-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleChallenges and opportunities in biopharmaceutical manufacturing control-
dc.typeArticle-
dc.identifier.doi10.1016/j.compchemeng.2017.12.007-
dc.citation.journaltitleCOMPUTERS & CHEMICAL ENGINEERING-
dc.identifier.wosid000425114500008-
dc.identifier.scopusid2-s2.0-85039761937-
dc.citation.endpage114-
dc.citation.startpage106-
dc.citation.volume110-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorHong, Moo Sun-
dc.type.docTypeReview-
dc.description.journalClass1-
dc.subject.keywordPlusANALYTICAL TECHNOLOGY PAT-
dc.subject.keywordPlusPOTENTIAL MALARIA VACCINES-
dc.subject.keywordPlusSLUG-FLOW CRYSTALLIZATION-
dc.subject.keywordPlusN-LINKED GLYCOSYLATION-
dc.subject.keywordPlusMONOCLONAL-ANTIBODY-
dc.subject.keywordPlusPHARMACEUTICAL CRYSTALLIZATION-
dc.subject.keywordPlusMULTIVARIATE-ANALYSIS-
dc.subject.keywordPlusMODEL IDENTIFICATION-
dc.subject.keywordPlusCONTROL STRATEGIES-
dc.subject.keywordPlusSIZE DISTRIBUTION-
dc.subject.keywordAuthorBiopharmaceuticals-
dc.subject.keywordAuthorBiomanufacturing-
dc.subject.keywordAuthorBiopharmaceutical manufacturing-
dc.subject.keywordAuthorContinuous manufacturing-
dc.subject.keywordAuthorProtein crystallization-
dc.subject.keywordAuthorProcess data analytics-
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