The optimum specific growth rate and optimal flux vector for all metabolic reactions were predicted for each time point.
The model-based process optimization was demonstrated in designing feed strategy with optimal specific cell growth rate of fed-batch for efficient mixed glucose xylose fermentation (Unrean and Nguyen 2012).
By modeling the process as a stochastic process, optimal values of the state variables of the culture biomass and glucose concentration, and optimal model parameters of specific growth rate and yield are obtained.
The employment of optimal growth assumption has allowed successful calculation of phenotypic behaviour in FBA of reconstructed metabolic models of several microorganisms [ 34- 38, 38, 40- 46, 47] 47], suggesting that their metabolic networks have evolved for the optimization of the specific growth rate under several carbon source limiting conditions.
The ideal optimal control laws of the overall specific growth rate which maximizes the fermentative activity in the making of bread are obtained based on three models, It is a very interesting feature that the optimal pattern of μ becomes a bang-bang-type one based on both the Age and Mass models.
However, the physiology at specific growth rate of optimal protein production (D = 0.03 h-1 and low cell density) for T. reesei may be similar to the physiology of transition phase in batch cultivation.
However, since the underlying limit is likely to be found in microRNA transcription as opposed to post-transcriptional processing by Dicer, the preferential approach is to titrate the expression of specific microRNAs with high impact on specific growth to an optimal expression level that will facilitate fast proliferation.
Expression of various combinations of genes on the aAPC enables the precise determination of human T-cell activation requirements, such that aAPCs can be tailored for the optimal propagation of T-cell subsets with specific growth requirements and distinct functions.
We discuss the requirements for identifying additional specific growth factors and evaluating the optimal combination of cells, growth factors and scaffolds that is able to respond to the functional demand placed upon cartilage tissue replacement in clinics.
Development of a suitable model for the specific growth rate is critical for determining optimal operation of fermentation process.
