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A dynamic fed batch strategy for a Pichia pastoris mixed feed system to increase process understanding

doi: 10.1002/btpr.1551
pmid: 22505140
AbstractMixed substrate feeding strategies are frequently investigated to enhance the productivity of recombinant Pichia pastoris processes. For this purpose, numerous fed batch experiments or time‐consuming continuous cultivations are required to optimize control parameters such as the substrate mixing ratio and the applied methanol concentration. In this study, we decoupled the feeding of methanol and glycerol in a mixed substrate fed batch environment to gain process understanding for a recombinant P. pastoris Muts strain producing the model enzyme horseradish peroxidase. Specific substrate uptake rates (qs) were controlled separately, and a stepwise increased qGly‐control scheme was applied to investigate the effect of various substrate fluxes on the culture. The qs‐controlled strategy allowed a parallel characterization of the metabolism and the recombinant protein expression in a fed batch environment. A critical‐specific glycerol uptake rate was determined, where a decline of the specific productivity occurred, and a time‐dependent acceleration of protein expression was characterized with the dynamic fed batch approach. Based on the observations on recombinant protein expression, propositions for an optimal feeding design to target maximal productivities were stated. Thus, the dynamic fed batch strategy was found to be a valuable tool for both process understanding and optimization of product formation for P. pastoris in a mixed substrate environment. © 2012 American Institute of Chemical Engineers Biotechnol. Prog., 2012
- TU Wien Austria
- TU Wien Austria
- Polish Academy of Sciences Poland
- Institute of Chemical Engineering Poland
Fermentation, Biomass, Horseradish Peroxidase, Pichia, Recombinant Proteins, Culture Media
Fermentation, Biomass, Horseradish Peroxidase, Pichia, Recombinant Proteins, Culture Media
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).42 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
