Predictive Monitoring of Shake Flask Cultures with Online Estimated Growth Models.

ABSTRACT: Simplicity renders shake flasks ideal for strain selection and substrate optimization in biotechnology. Uncertainty during initial experiments may, however, cause adverse growth conditions and mislead conclusions. Using growth models for online predictions of future biomass (BM) and the arrival of critical events like low dissolved oxygen (DO) levels or when to harvest is hence important to optimize protocols. Established knowledge that unfavorable metabolites of growing microorganisms interfere with the substrate suggests that growth dynamics and, as a consequence, the growth model parameters may vary in the course of an experiment. Predictive monitoring of shake flask cultures will therefore benefit from estimating growth model parameters in an online and adaptive manner. This paper eval

SUBMITTER: Pretzner B 

PROVIDER: S-EPMC8614854 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature