Mimicking CHO large‐scale effects in the single multicompartment bioreactor: A new approach to access scale‐up behavior

During the scale‐up of biopharmaceutical production processes, insufficiently predictable performance losses may occur alongside gradients and heterogeneities. To overcome such performance losses, tools are required to explain, predict, and ultimately prohibit inconsistencies between laboratory and...

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Veröffentlicht in:Biotechnology and bioengineering 2024-04, Vol.121 (4), p.1244-1256
Hauptverfasser: Gaugler, Lena, Hofmann, Sebastian, Schlüter, Michael, Takors, Ralf
Format: Artikel
Sprache:eng
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Zusammenfassung:During the scale‐up of biopharmaceutical production processes, insufficiently predictable performance losses may occur alongside gradients and heterogeneities. To overcome such performance losses, tools are required to explain, predict, and ultimately prohibit inconsistencies between laboratory and commercial scale. In this work, we performed CHO fed‐batch cultivations in the single multicompartment bioreactor (SMCB), a new scale‐down reactor system that offers new access to study large‐scale heterogeneities in mammalian cell cultures. At volumetric power inputs of 20.4–1.5 W m−3, large‐scale characteristics like long mixing times and dissolved oxygen (DO) heterogeneities were mimicked in the SMCB. Compared to a reference bioreactor (REFB) set‐up, the conditions in the SMCB provoked an increase in lactate accumulation of up to 87%, an increased glucose uptake, and reduced viable cell concentrations in the stationary phase. All are characteristic for large‐scale performance. The unique possibility to distinguish between the effects of changing power inputs and observed heterogeneities provided new insights into the potential reasons for altered product quality attributes. Apparently, the degree of galactosylation in the evaluated glycan patterns changed primarily due to the different power inputs rather than the provoked heterogeneities. The SMCB system could serve as a potent tool to provide new insights into scale‐up behavior and to predict cell line‐specific drawbacks at an early stage of process development.
ISSN:0006-3592
1097-0290
DOI:10.1002/bit.28647