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Medium optimization by combination of response surface methodology and desirability function: an application in glutamine production.

Jinshan Li·Cuiqing Ma·Yanhe Ma·Yan Li·Wei Zhou·Ping Xu
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Abstract

An optimization strategy based on desirability function approach (DFA) together with response surface methodology (RSM) has been used to optimize production medium in L-glutamine fermentation. Fermentation problems often force to reach a compromise between different experimental variables in order to achieve the most suitable strategy applying in industrial production. The importance of the use of multi-objective optimization methods lies in the ability to cope with this kind of problems. A sequential RSM with different combinations of glucose and (NH(4))(2)SO(4) was performed to attain the optimal medium (OM-1) in glutamine production. Based on the result of RSM and the evaluation of production cost, a more economical optimal medium (OM-2) was obtained with the aid of DFA. In DFA study, glutamate, the main by-product in glutamine fermentation as another response was considered. Compared with OM-1 in validated experiment, similar amounts of glutamine were obtained in OM-2 while the concentration of glutamate and the production cost decreased by 53.6 and 7.1%, respectively.

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BiotechnologyCorynebacterium glutamicumCulture MediaFermentationGlucoseGlutamic AcidGlutamineQuaternary Ammonium CompoundsJournal ArticleResearch Support, Non-U.S. Gov't

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Jinshan Li, Cuiqing Ma, Yanhe Ma, Yan Li, Wei Zhou, Ping Xu. 2006-11-22. Medium optimization by combination of response surface methodology and desirability function: an application in glutamine production.. https://doi.org/10.1007/s00253-006-0699-5

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