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Statistical media optimization for the production of clinical uricase from Bacillus subtilis strain SP6

机译:从枯草芽孢杆菌菌株SP6生产临床尿酸酶的统计介质优化

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摘要

In this study, a potent uricase producing organism was isolated by a thorough screening and identified as Bacillus subtilis strain SP6 by using 16s rDNA sequencing. Response surface methodological optimization was employed for the enhanced production of uricase from newly isolated Bacillus subtilis strain SP6. In media optimization studies, Plackett Burman (PB) design was used for the selection of the critical media components; which were further optimized using central composite design (CCD). Lactose, soya peptone, uric acid and FeSO4.7H2O were found to be the critical factors influencing the enzyme production. Optimum uricase production with these factors was deduced using central composite design. Significant level of the factors were 12.2 g/L of lactose, 12.79 g/L of soya peptone, 2.55 g/L of uric acid and 0.00325 g/L FeSO4.7H2O. Use of statistical optimization upsurges uricase yield from 1.2 U/ml to 15.87 U/ml enhancing the overall production by 13.23 fold; which confirms that the model is effective for process optimization.
机译:在这项研究中,通过彻底的筛选分离出了一种有效的产尿酸酶生物,并通过16s rDNA测序鉴定为枯草芽孢杆菌SP6菌株。响应面方法学优化用于从新分离的枯草芽孢杆菌菌株SP6增强尿酸酶的生产。在媒体优化研究中,采用了Plackett Burman(PB)设计来选择关键的媒体组件。使用中央复合设计(CCD)对其进行了进一步优化。发现乳糖,大豆蛋白ept,尿酸和FeSO4.7H2O是影响酶产生的关键因素。使用中央复合设计可以得出具有这些因素的最佳尿酸酶生产。这些因素的显着水平是12.2 g / L乳糖,12.79 g / L大豆蛋白ept,2.55 g / L尿酸和0.00325 g / L FeSO4.7H2O。统计优化的使用将尿酸酶的产量从1.2 U / ml增加到15.87 U / ml,从而使总产量提高了13.23倍;这证实了该模型对于流程优化是有效的。

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