Medium factor optimization and fermentation kinetics for phenazine-1-carboxylic acid production by Pseudomonas sp M18G
Medium factor optimization and fermentation kinetics for phenazine-1-carboxylic acid production by Pseudomonas sp M18G
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DOI：
10.1002/bit.21767
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发表时间：
2008-06-01
影响因子：
3.8
通讯作者：
Zhang, Xue-Hong
中科院分区：
文献类型：
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作者：
He, Li;Xu, Yu-Quan;Zhang, Xue-Hong
研究了一株gacA缺陷的生物杀菌剂吩嗪-1-羧酸（PCA）高产菌株M18 G的发酵条件。以葡萄糖为最佳碳源，大豆蛋白胨为最佳氮源。Plackett-Burman设计表明，葡萄糖、大豆蛋白胨和NaCl是PCA发酵中最显著的因素。响应面法（RSM）和人工神经网络（ANN）模型涉及的显着因素，开发使用常见的数据。人工神经网络的预测精度略高于响应面。采用遗传算法（GA）搜索训练好的神经网络模型的最佳输入空间，并找到相应的PCA产量。结果表明，最佳工艺条件为：葡萄糖34.3gL（-1），大豆蛋白胨43.2gL（-1），NaCl 5.7gL（-1），PCA的最大产量可达980.1 μ g mL（-1）。经过验证试验，优化后的培养基使PCA产量从673.3 μ g mL（-1）提高到966.7 μ g mL（-1）。此外，PCA发酵动力学进行了研究。基于修正的Logistic方程和Luedeking-Piret方程建立了PCA发酵的动力学模型，较好地描述了PCA发酵过程中生物量（X）、产物（P）和底物（S）的时间变化。
We investigated the production of biofungicide phenazine-1-carboxlic (PCA) by Pseudomonas sp. M18G, a gacA-deficient mutant of M18 for PCA high-production. Glucose was chosen as the optimal carbon source and soy peptone as the nitrogen source. A Plackett-Burman design revealed that glucose, soy peptone and NaCl were the most significant factors in PCA fermentation. Response surface methodology (RSM) and artificial neural network (ANN) models involving the significant factors were developed using common data. The prediction accuracy of ANN was slightly higher compared to RSM. The genetic algorithm (GA) was used to search the optimal input space of the trained ANN model and find the corresponding PCA yield. The optimum composition was found to be: glucose 34.3 gL(-1), soy peptone 43.2 gL(-1), NaCl 5.7 gL-1, and the predictive maximum PCA yield reached 980.1 mu g mL(-1). The optimized medium allowed PCA yield to be increased from 673.3 to 966.7 mu g mL(-1) after verification experiment tests. Additionally, PCA fermentation kinetics was investigated. Kinetic models based on the modified Logistic and Luedeking-Piret equations were developed, providing a good description of temporal variations of biomass (X), product (P), and substrate (S) in PCA fermentation.