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Model-based control for column-based continuous viral inactivation of biopharmaceuticals

Cited 2 time in Web of Science Cited 3 time in Scopus
Authors

Hong, Moo Sun; Lu, Amos E.; Ou, Rui Wen; Wolfrum, Jacqueline M.; Springs, Stacy L.; Sinskey, Anthony J.; Braatz, Richard D.

Issue Date
2021-08
Publisher
WILEY
Citation
BIOTECHNOLOGY AND BIOENGINEERING, Vol.118 No.8, pp.3215-3224
Abstract
Batch 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.
ISSN
0006-3592
URI
https://hdl.handle.net/10371/201228
DOI
https://doi.org/10.1002/bit.27846
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