Abstract
The optimization of nutrient levels for the production of pristinamycins by Streptomyces pristinaespiralis CGMCC 0957 in submerged fermentation was carried out using the statistical methodologies based on the Plackett–Burman design, the steepest ascent method, and the central composite design (CCD). First, the Plackett–Burman design was applied to evaluate the influence of related nutrients in the medium. Soluble starch and MgSO4·7H2O were then identified as the most significant nutrients with a confidence level of 99%. Subsequently, the concentrations of the two nutrients were further optimized using response surface methodology of CCD, together with the steepest ascent method. Accordingly, a second-order polynomial regression model was finally fitted to the experimental data. By solving the regression equation from the model and analyzing the response surface, the optimal levels for soluble starch and MgSO4·7H2O were determined as 20.95 and 5.67g/L, respectively. Under the optimized medium, the yield of pristinamycins in the shake flask and 5-L bioreactor could reach 1.30 and 1.01g/L, respectively, which is the highest yield reported in literature to date.
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This work was financially supported by the National Natural Science Foundation of China (20576122), Department of Science and Technology, Zhejiang Province, China (2004C13007), and the Natural Science Foundation of Zhejiang Province, China (Y404291).
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Jia, B., Jin, Z.H. & Mei, L.H. Medium Optimization Based on Statistical Methodologies for Pristinamycins Production by Streptomyces pristinaespiralis . Appl Biochem Biotechnol 144, 133–143 (2008). https://doi.org/10.1007/s12010-007-8012-3
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DOI: https://doi.org/10.1007/s12010-007-8012-3