Designing a Strategy for pH Control to Improve CHO Cell Productivity in Bioreactor

  • Zohreh Ahleboot Biopharmaceutical Research Center, Aryogen Pharmed Inc., Alborz University of Medical Sciences, Karaj, Iran
  • Mahdi Khorshidtalab Biopharmaceutical Research Center, Aryogen Pharmed Inc., Alborz University of Medical Sciences, Karaj, Iran
  • Paria Motahari Biopharmaceutical Research Center, Aryogen Pharmed Inc., Alborz University of Medical Sciences, Karaj, Iran
  • Rasoul Mahboudi Biopharmaceutical Research Center, Aryogen Pharmed Inc., Alborz University of Medical Sciences, Karaj, Iran
  • Razieh Arjmand Biopharmaceutical Research Center, Aryogen Pharmed Inc., Alborz University of Medical Sciences, Karaj, Iran
  • Aram Mokarizadeh Biopharmaceutical Research Center, Aryogen Pharmed Inc., Alborz University of Medical Sciences, Karaj, Iran
  • Shayan Maleknia Biopharmaceutical Research Center, Aryogen Pharmed Inc., Alborz University of Medical Sciences, Karaj, Iran
Keywords: Carbon dioxide, Cell survival, Hydrogen-ion concentration (pH), Immunoglobulin G, Lactic acid

Abstract

Background: Drastic pH drop is a common consequence of scaling up a mammalian cell culture process, where it may affect the final performance of cell culture. Although CO2 sparging and base addition are used as common approaches for pH control, these strategies are not necessarily successful in large scale bioreactors due to their effect on osmolality and cell viability. Accordingly, a series of experiments were conducted using an IgG1 producing Chinese Hamster Ovary (CHO-S) cell culture in 30 L bioreactor to assess the efficiency of an alternative strategy in controlling culture pH.

 

Methods: Factors inducing partial pressure of CO2 and lactate accumulation (as the main factors altering culture pH) were assessed by Plackett-Burman design to identify the significant ones. As culture pH directly influences process productivity, protein titer was measured as the response variable. Subsequently, Central Composite Design (CCD) was employed to obtain a model for product titer prediction as a function of individual and interaction effects of significant variables.

 

Results: The results indicated that the major factor affecting pH is non-efficient CO2 removal. CO2 accumulation was found to be affected by an interaction between agitation speed and overlay air flow rate. Accordingly, after increasing the agitation speed and headspace aeration, the culture pH was successfully maintained in the range of 6.95-7.1, resulting in 51% increase in final product titer. Similar results were obtained during 250 L scale bioreactor culture, indicating the scalability of the approach.

 

Conclusion: The obtained results showed that pH fluctuations could be effectively controlled by optimizing CO2 stripping.

Published
2021-06-13
Section
Articles