Medium optimization for antifungal active substances production from a newly isolated Paenibacillus sp using response surface methodology
Medium optimization for antifungal active substances production from a newly isolated Paenibacillus sp using response surface methodology
复制标题
使用响应面法从新分离的类芽孢杆菌属中生产抗真菌活性物质的培养基优化
DOI：
10.1016/j.biortech.2008.03.039
复制
发表时间：
2008-11-01
影响因子：
11.4
通讯作者：
Liu, Xun-Li
中科院分区：
文献类型：
--
作者：
Wang, Zhi-Wen;Liu, Xun-Li
采用统计学试验设计，对一株新分离的多粘类芽孢杆菌（Paenibacillus polymyxa）Cp-S316摇瓶发酵产抗真菌活性物质的培养基进行了优化。首先使用部分析因设计确定对生产具有显著影响的培养基组分。然后采用最陡爬坡法逼近试验设计空间。随后应用响应面法进行进一步优化。发现一个二次模型来拟合抗真菌活性物质的生产。响应面分析表明，用于活性物质生产的测试变量的最佳值为12.3（g/l）乳糖、17.5（g/l）蛋白胨、0.4（g/l）硝酸钠、4.5（g/l）硫酸镁和100（g/l）马铃薯。在验证实验中观察到4687.71 μ g/ml的产量，这与预测一致。与基础培养基相比，产量提高了3.05倍。(c)2008爱思唯尔有限公司保留所有权利。
Statistics based experimental designs were used to optimize the medium for antifungal active substances production from a newly isolated Paenibacillus polymyxa Cp-S316 in shaker flask cultivation. The medium components having significant effect on the production were first identified using a fractional factorial design. Then steepest ascent method was employed to approach the experimental design space. followed by an application of response surface methodology for further optimization. A quadratic model was found to fit the antifungal active substances production. Response surface analysis revealed that the optimum values of the tested variables for the production of active substances were 12.3 (g/l) lactose, 17.5 (g/l) peptone, 0.4 (g/l) sodium nitrate, 4.5 (g/l) magnesium sulfate and 100 (g/l) potato. A production of 4687.71 mu g/ml, which was in agreement with the prediction, was observed in verification experiment. In comparison to the production of basal medium, 3.05-fold increase had been obtained. (c) 2008 Elsevier Ltd. All rights reserved.