Medium optimization by combination of response surface methodology and desirability function: an application in glutamine production
Medium optimization by combination of response surface methodology and desirability function: an application in glutamine production
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DOI：
10.1007/s00253-006-0699-5
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发表时间：
2007-03-01
影响因子：
5
通讯作者：
Xu, Ping
中科院分区：
文献类型：
--
作者：
Li, Jinshan;Ma, Cuiqing;Xu, Ping
采用意愿函数法（DFA）和响应面法（RSM）相结合的优化策略对L-谷氨酰胺发酵培养基进行优化。发酵问题往往迫使不同的实验变量之间达成妥协，以获得最合适的策略应用于工业生产。使用多目标优化方法的重要性在于能够科普这类问题。通过对葡萄糖和（NH_4）_2SO_4的不同组合进行响应面分析，筛选出最适的培养基（OM-1）。根据响应面法的结果，结合生产成本的估算，利用DFA优化出了一种经济的最佳培养基OM-2。在DFA研究中，谷氨酰胺发酵的主要副产物谷氨酸作为另一种反应被考虑。与OM-1相比，OM-2发酵液中谷氨酰胺的含量与OM-1相近，而谷氨酸的浓度和生产成本分别降低了53.6%和7.1%。
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 (NH4)(2)SO4 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.