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After 5 h of batch fermentation a dual phase feeding profile was started as displayed in Fig. 2b.
Applying the feeding profile, glucose stayed almost constant until 28 h of cultivation and decreased afterwards to limiting levels.
In this work, the bioreactor feeding profile and sampling times are designed to maximize the information content.
The optimal feeding profile of a fed batch process was designed by means of an evolutionary algorithm.
Optimization was implemented using measuring data of the double determination cultivation applying a dual phase feeding profile and the set of ODEs (Eq. 3, 4, 5, 6).
Utilizing a dual phase feeding profile in bioreactor cultivations resulted in an overall rhamnolipid productivity of 0.3 g/h and rhamnolipid titer of 14.9 g/L.
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Subsequently, through an SQP based optimization algorithm feeding profiles yielding maximum biomass and minimum alcohol formation were obtained.
In this study glucose, nitrogen and phosphorous was preferred for increasing Rhamnolipid production, and the glucose, nitrogen and phosphorous concentration feeding profiles were successfully generated.
When computed results were compared to the industrial data, it was seen that molasses feeding profiles were compatible whereas aeration profiles were considerably different.
The implementation of the proposed substrate feeding profiles should be complementary to cell engineering strategies to improve the relation qP vs μ, thereby enhancing the overall bioprocess efficiency.
Genetic algorithm (GA) and particle swarm optimization (PSO) were implemented to select sets of decision variables for optimal feeding profiles of fed-batch culture of recombinant Bacillus subtilis ATCC 6051a.
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