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Investigations to Enhance Production of Penicillin G Acylase from Recombinant Bacillus badius pac Expressed in Escherichia coli DH5 alpha

机译:提高大肠杆菌DH5α表达的重组巴斯德芽孢杆菌中青霉素G酰化酶生产的研究

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Optimization of the M9 medium for production of Penicillin G Acylase (PGA) from recombinant E. coli DH5 alpha carrying a plasmid encoding pac from Bacillus badius was carried out based on response surface methodology (RSM). For the first time M9 medium was used for enhancing the production of PGA from recombinant B. badius pac expressed in E. coli DH5 alpha. RSM is a useful method for studying the effect of several variables influencing the responses by varying them simultaneously and carrying out a limited number of experiments. The initial screening method of Plackett-Burman design gave rise to identification of fructose, yeast extract, and magnesium sulfate as significant medium components. A 2(3) full-factorial central composite design (CCD) was applied to further optimize concentration of each significant variable. The optimal concentration for production of PGA consisted of 10g/l fructose, 6g/l yeast extract, 1.85ml/l MgSO4 center dot 7H(2)O (100mM), 9g/l disodium hydrogen phosphate, 4g/l potassium dihydrogen phosphate, 0.75g/l sodium chloride, 2ml/l thiamine HCl (100mM), and 2ml/l calcium chloride (10mM). The model prediction of PGA activity (14.11U/ml) at optimum conditions was verified experimentally (13.94U/ml). Through statistically designed optimization, the production of PGA was found to go up from 2.2U/ml to an average of 13.94 +/- 0.03U/ml. Thus the modified M9 media has shown a 7.74-fold increase in PGA activity.
机译:基于响应表面方法(RSM),对从携带带有来自巴德芽孢杆菌的编码pac的质粒的重组大肠杆菌DH5α生产青霉素G酰化酶(PGA)的M9培养基进行了优化。首次将M9培养基用于增强大肠杆菌DH5α中表达的重组巴斯德毕赤酵母pac生产PGA的能力。 RSM是一种有用的方法,用于通过同时更改变量并进行有限数量的实验来研究影响响应的多个变量的效果。 Plackett-Burman设计的最初筛选方法产生了对果糖,酵母提取物和硫酸镁作为重要培养基成分的鉴定。应用2(3)全因子中心复合设计(CCD)进一步优化每个重要变量的浓度。生产PGA的最佳浓度包括10g / l果糖,6g / l酵母提取物,1.85ml / l MgSO4中心点7H(2)O(100mM),9g / l磷酸氢二钠,4g / l磷酸二氢钾, 0.75g / l氯化钠,2ml / l盐酸硫胺(100mM)和2ml / l氯化钙(10mM)。实验验证了最佳条件下PGA活性(14.11U / ml)的模型预测值(13.94U / ml)。通过统计设计的优化,发现PGA的产量从2.2U / ml增加到平均13.94 +/- 0.03U / ml。因此,修饰的M9培养基显示出PGA活性增加了7.74倍。

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