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Further improvements were achieved by developing and implementing a dynamic fed-batch strategy using a concentrated feed solution.
The distinct capability of the mathematical model to predict highly dynamic fed-batch cultivation strategies was demonstrated by experimental implementation of two fed-batch cultivation strategies.
In this work, we demonstrate that the unique phenotype of PYC expressing cells can be exploited through the application of a dynamic fed-batch strategy and lead to significant process enhancements.
Both dynamic and fed-batch systems have been used for the study of biofilms.
Despite the advantages of dynamic over fed-batch systems, such as tight control of hydrodynamic systems and continuous diffusion of nutrients and waste, it presents important drawbacks such as difficulty in assembling systems, frequent formation of air bubbles that destroy biofilm architecture (Crusz et al. 2012), limited number of conditions that can be analyzed simultaneously and higher cost.
A multiple-variable dynamic optimization of fed-batch reactor for biomass production is studied using a differential geometry approach.
The stability of the additional steady state (steady state 4) was confirmed by dynamic simulations using fed-batch strategy prior to initiation of continuous operation.
Model-based selection of targets for metabolic engineering in CHO cells is confounded by the dynamic nature of the fed-batch process.
A dynamic model of an ammonia fed-tubular solid oxide fuel cell (NH3-SOFC) is developed and presented.
In particular, the effects of various operating conditions and feeding strategies on the dynamic behavior of batch and fed-batch fermentation processes are explored.
Both fed-batch and dynamic systems have long been used to characterize initial adhesion (Cerca et al. 2005b; Isberg and Barnes 2002), biofilm accumulation and structuring processes (Moormeier and Bayles 2014; Periasamy et al. 2012).
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