Forecasting and control of lactate bifurcation in Chinese hamster ovary cell culture processes.

ABSTRACT: Biomanufacturing exhibits inherent variability that can lead to variation in performance attributes and batch failure. To help ensure process consistency and product quality the development of predictive models and integrated control strategies is a promising approach. In this study, a feedback controller was developed to limit excessive lactate production, a widespread metabolic phenomenon that is negatively associated with culture performance and product quality. The controller was developed by applying machine learning strategies to historical process development data, resulting in a forecast model that could identify whether a run would result in lactate consumption or accumulation. In addition, this exercise identified a correlation between increased amino acid consumption and low obs

SUBMITTER: Schmitt J 

PROVIDER: S-EPMC6852022 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature