期刊
BIOTECHNOLOGY JOURNAL
卷 13, 期 4, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/biot.201700607
关键词
advanced process control (APC); glucose control; mammalian cell culture; oxygen transfer rate; process analytic technology (PAT); soft sensor
资金
- MedImmune
- UCL
- EPSRC [EP/I033270/1]
- Engineering and Physical Sciences Research Council [EP/I033270/1] Funding Source: researchfish
- EPSRC [EP/I033270/1, EP/P006485/1] Funding Source: UKRI
Glucose control is vital to ensure consistent growth and protein production in mammalian cell cultures. The typical fed-batch glucose control strategy involving bolus glucose additions based on infrequent off-line daily samples results in cells experiencing significant glucose concentration fluctuations that can influence product quality and growth. This study proposes an on-line method to control and manipulate glucose utilizing readily available process measurements. The method generates a correlation between the cumulative oxygen transfer rate and the cumulative glucose consumed. This correlation generates an on-line prediction of glucose that has been successfully incorporated into a control algorithm manipulating the glucose feed-rate. This advanced process control (APC) strategy enables the glucose concentration to be maintained at an adjustable set-point and has been found to significantly reduce the deviation in glucose concentration in comparison to conventional operation. This method has been validated to produce various therapeutic proteins across cell lines with different glucose consumption demands and is successfully demonstrated on micro (15mL), laboratory (7L), and pilot (50L) scale systems. This novel APC strategy is simple to implement and offers the potential to significantly enhance the glucose control strategy for scales spanning micro-scale systems through to full scale industrial bioreactors.
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