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Challenges and opportunities in biopharmaceutical manufacturing control

Cited 73 time in Web of Science Cited 79 time in Scopus
Authors

Hong, Moo Sun; Severson, Kristen A.; Jiang, Mo; Lu, Amos E.; Love, J. Christopher; Braatz, Richard D.

Issue Date
2018-02
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
COMPUTERS & CHEMICAL ENGINEERING, Vol.110, pp.106-114
Abstract
This 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.
ISSN
0098-1354
URI
https://hdl.handle.net/10371/201237
DOI
https://doi.org/10.1016/j.compchemeng.2017.12.007
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