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Effect Analysis of Mineral Salt Concentrations on Nosiheptide Production by Streptomyces actuosus Z-10 Using Response Surface Methodology

机译:响应面法分析矿盐浓度对产链霉菌Z-10生产诺庚肽的影响

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摘要

The objective of this study was to develop an optimal combination of mineral salts in the fermentation medium for nosiheptide (Nsh) production using statistical methodologies. A Plackett-Burman design (PBD) was used to evaluate the impacts of eight mineral salts on Nsh production. The results showed that among the no-significant factors, CaCO3, and K2HPO4·3H2O had positive effects, whereas FeSO4·7H2O, CuSO4·5H2O, and ZnSO4·7H2O had negative effects on Nsh production. The other three significant factors (Na2SO4, MnSO4·H2O, and MgSO4·7H2O) were further optimized by using a five-level three-factor central composite design (CCD). Experimental data were fitted to a quadratic polynomial model, which provided an effective way to determine the interactive effect of metal salts on Nsh production. The optimal values were determined to be 2.63, 0.21, and 3.37 g/L, respectively. The model also ensured a good fitting of scale-up Nsh batch fermentation with a maximum production of 1501 mg/L, representing a 1.56-fold increase compared to the original standard condition. All these results revealed that statistical optimization methodology had the potential to achieve comprehensive optimization in Nsh fermentation behaviors, which indicates a possibility to establish economical large-scale production of Nsh.
机译:这项研究的目的是使用统计方法开发一种发酵培养基中矿物质盐的最佳组合,用于生产诺西肽(Nsh)。 Plackett-Burman设计(PBD)用于评估八种矿物盐对Nsh产量的影响。结果表明,在无显着性因素中,CaCO3和K2HPO4·3H2O产生正效应,而FeSO4·7H2O,CuSO4·5H2O和ZnSO4·7H2O对Nsh产生负效应。通过使用五级三因素中心复合设计(CCD),进一步优化了其他三个重要因素(Na2SO4,MnSO4·H2O和MgSO4·7H2O)。将实验数据拟合到二次多项式模型,该模型提供了一种有效的方法来确定金属盐对Nsh产生的交互作用。最佳值分别确定为2.63、0.21和3.37 g / L。该模型还确保了按比例放大的Nsh分批发酵的最佳拟合,最大产量为1501 mg / L,与原始标准条件相比增加了1.56倍。所有这些结果表明,统计优化方法有可能实现Nsh发酵行为的全面优化,这表明建立经济的Nsh大规模生产的可能性。

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