响应面法优化盐芽杆菌NRC-1最大生物量培养基及培养基组分

Divya Patil, Bhoomika Vinod, Kavitha RV
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引用次数: 0

摘要

通常,生物技术的进步受到过程中使用的微生物生长速度低的阻碍,因此培养基的优化设计是生物技术领域需要考虑的一个重要方面。材料与方法:采用响应面法(一种通过分析输入变量与输出响应之间的关系来优化和提高过程性能的统计方法)对我们感兴趣的盐盐杆菌NRC-1生长和生物量生产的培养基成分进行了优化。估计了线性模型,并根据模型生成的线性回归方程确定了介质成分。选择的变量是酪蛋白酶水解物,酵母提取物,精氨酸和蛋白胨。结果,讨论:根据实验响应预测了4个变量的最优结果,酪蛋白酶水解物和酵母浸出物各7.5 g/L,蛋白胨和精氨酸各5.0 g/L。与标准培养基相比,优化后的培养基减少了细胞培养到固定期所需的时间,并且获得的生物量显著增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of medium and media components for maximum biomass of Halobacterium salinarum NRC-1 using Response Surface Methodology
Often, biotechnological advances are hindered by low growth rate of microorganisms utilized in the process, making optimal design of culture media a crucial aspect to consider in the biotechnology field. Materials and Method: Optimization of media components for growth and biomass production of Halobacterium salinarum NRC-1, our organism of interest, was carried out using response surface methodology, a statistical approach to optimize and improve the performance of a process by analyzing the relationships between input variables and output responses. A linear model was estimated and media components were determined based on the linear regression equation generated by the model. The variables chosen were casein enzyme hydrolysate, yeast extract, arginine, and peptone. Results & Discussion: An optimum result for the four variables was predicted based on the experimental response, which is 7.5 g/L of casein enzyme hydrolysate and yeast extract each, and 5.0 g/L each of peptone and arginine. The optimized medium reduced the time required for the cell culture to attain stationary phase, and showed a significant increase in the amount of biomass obtained as compared with that in standard media.
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