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© 2015 International Metabolic Engineering Society. Metabolic flux analysis (MFA) is widely used to estimate intracellular fluxes. Conventional MFA, however, is limited to continuous cultures and the mid-exponential growth phase of batch cultures. Dynamic MFA (DMFA) has emerged to characterize time-resolved metabolic fluxes for the entire culture period. Here, the linear DMFA approach was extended using B-spline fitting (B-DMFA) to estimate mass balanced fluxes. Smoother fits were achieved using reduced number of knots and parameters. Additionally, computation time was greatly reduced using a new heuristic algorithm for knot placement. B-DMFA revealed that Chinese hamster ovary cells shifted from 37. °C to 32. °C maintained a constant IgG volume-specific productivity, whereas the productivity for the controls peaked during mid-exponential growth phase and declined afterward. The observed 42% increase in product titer at 32. °C was explained by a prolonged cell growth with high cell viability, a larger cell volume and a more stable volume-specific productivity.

Original publication

DOI

10.1016/j.meteno.2015.06.001

Type

Journal article

Journal

Metabolic Engineering Communications

Publication Date

01/12/2015

Volume

2

Pages

46 - 57