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首页> 外文期刊>The Korean journal of chemical engineering >Enhanced production of glutaminase free L-asparaginase Ⅱ by Bacillus subtilis WB800N through media optimization
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Enhanced production of glutaminase free L-asparaginase Ⅱ by Bacillus subtilis WB800N through media optimization

机译:枯草芽孢杆菌WB800N通过培养基优化提高无谷氨酰胺酶的L-天冬酰胺酶Ⅱ的产量

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We studied the crucial components which elevate the expression of recombinant novel glutaminase free L-asparaginase II (rL-asp II) from Bacillus subtilis WB800N. The Plackett-Burman tool identified sucrose, NH4Cl, NaH2-PO4 and MgSO4 as the significant influencing factors (p < 0.05). Further investigations showed that artificial neural network-genetic algorithm (ANN-GA) was more effective than central composite design (CCD) in optimizing the influencing factors. The maximum rL-asp II expression was found to be 389.56 IU/ml and 525.98 IU/ml using CCD (R-2=90.4%) and ANN-GA (R-2=96.2%), respectively. The validation experiments were carried out in a 3 L batch bioreactor where kinetic modelling of the obtained data was done. The rL-asp II expressed effectively inhibiting the polyacrylamide formation in vitro where no solidification was observed, when 2ml of purified rL-asp II used even after 60 min of incubation. This is the first study to report highest production of rL-asp II in B. subtilis WB800N (525.98 IU/ml) till date by combining statistical designs with consecutive intermittent addition of IPTG in batch reactor.
机译:我们研究了提高枯草芽孢杆菌WB800N重组新型不含谷氨酰胺酶的L-天冬酰胺酶II(rL-asp II)的表达的关键成分。 Plackett-Burman工具确定了蔗糖,NH4Cl,NaH2-PO4和MgSO4是重要的影响因素(p <0.05)。进一步的研究表明,人工神经网络遗传算法(ANN-GA)在优化影响因素方面比中央复合设计(CCD)更有效。使用CCD(R-2 = 90.4%)和ANN-GA(R-2 = 96.2%),发现最大rL-asp II表达分别为389.56IU / ml和525.98IU / ml。验证实验是在3 L分批生物反应器中进行的,其中对获得的数据进行了动力学建模。当在培养60分钟后仍使用2ml纯化的rL-asp II时,rL-asp II表达有效抑制体外聚丙烯酰胺的形成,没有观察到固化现象。迄今为止,这是第一项通过将统计设计与间歇反应器中IPTG的连续间歇添加相结合的枯草芽孢杆菌WB800N(525.98 IU / ml)中rL-asp II产量最高的研究。

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