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Optimal Model Design for High Production of Phenazine-1-Caboxylic Acid (PCA) |
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Abstract Model on secondary metabolite phenazine-1-carboxylic acid (PCA) fermentation nutrition conditions of gacA inactivate mutant Pseudomonas sp. M18G was constructed by Plackett-Burman design (PB) and Response Surface Method (RSM). In PB design four key components selected from 12 different factors have shown to play an important role for promoting PCA production. Center Composite Design (CCD) was adopted to establish a fermentation model for the four nutrition components using RSM. The optimal concentration of the four components based on analysis of regression equation were determined that soybean meal 33.4g/L , glucose 12.7g/L, soy peptone10.9g/L, ethanol13.8g/L, and the highest PCA production could reached 1.89g/L after 60h fermentation and the yield increased to 6 fold over that before optimization. The contour graphs depicted interactions of the two nutrition components showed that soybean meal and ethanol played an even more crucial role for the highest production of PCA in fermentation.
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Received: 04 March 2009
Published: 02 July 2009
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