Development of automated metabolite control using mid-infrared probe for bioprocesses and vaccine manufacturing

Author:

Reid Jennifer1ORCID,Haer Manjit2,Chen Airong1,Adams Calvin1,Lin Yu Chen2,Cronin Jim3,Yu Zhou1,Kirkitadze Marina2,Yuan Tao1

Affiliation:

1. Global Bioprocess Development, Sanofi , Toronto, ON M2R 3T4 , Canada

2. Analytical Sciences, Sanofi , Toronto, ON M2R 3T4 , Canada

3. Mettler Toledo , Columbia, MD 21046 , USA

Abstract

Abstract   Automation of metabolite control in fermenters is fundamental to develop vaccine manufacturing processes more quickly and robustly. We created an end-to-end process analytical technology and quality by design-focused process by replacing manual control of metabolites during the development of fed-batch bioprocesses with a system that is highly adaptable and automation-enabled. Mid-infrared spectroscopy with an attenuated total reflectance probe in-line, and simple linear regression using the Beer-Lambert Law, were developed to quantitate key metabolites (glucose and glutamate) from spectral data that measured complex media during fermentation. This data was digitally connected to a process information management system, to enable continuous control of feed pumps with proportional-integral-derivative controllers that maintained nutrient levels throughout fed-batch stirred-tank fermenter processes. Continuous metabolite data from mid-infrared spectra of cultures in stirred-tank reactors enabled feedback loops and control of the feed pumps in pharmaceutical development laboratories. This improved process control of nutrient levels by 20-fold and the drug substance yield by an order of magnitude. Furthermore, the method is adaptable to other systems and enables soft sensing, such as the consumption rate of metabolites. The ability to develop quantitative metabolite templates quickly and simply for changing bioprocesses was instrumental for project acceleration and heightened process control and automation. One-Sentence Summary Intelligent digital control systems using continuous in-line metabolite data enabled end-to-end automation of fed-batch processes in stirred-tank reactors.

Funder

Sanofi Vaccines

Publisher

Oxford University Press (OUP)

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