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Applying Factorial Design and Response Surface Methodology to Enhance Microbial Denitrogenation by Tween 80 and Yeast Extract

机译:应用因子设计和响应面方法来增强吐温80和酵母提取物对微生物的脱氮作用

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摘要

In this study the effect of yeast extract as a conitrogen source and Tween 80 as a commercial and available nonionic surfactant on microbial denitrogenation MDN of carbazole by Bacillus clausii BS1 was investigated. The central composite design matrix and response surface methodology were applied in designing the batch experiments to evaluate the interactive effects of these two parameters on MDN. Quadratic model equations have been predicted finding out how significant the effects of these variables (factors) and their interactions are in practice. The validity of the predicted models was confirmed. The MDN efficiency increased from approximate to 88% without yeast extract or Tween 80 to approximate to 95% in presence of optimum concentration of 0.868 g/L yeast extract and 0.861% (v:v) Tween 80, which would represent a major economic improvement in low-margin, high-volume refining processes.
机译:在这项研究中,研究了酵母提取物作为辅助氮源和吐温80作为市售可得的非离子表面活性剂对克劳氏芽孢杆菌BS1对咔唑的微生物脱氮MDN的影响。中心复合设计矩阵和响应面方法用于设计批处理实验,以评估这两个参数对MDN的交互作用。已经预测了二次模型方程式,以找出这些变量(因子)及其相互作用在实践中的重要性。预测模型的有效性得到确认。在存在最佳浓度0.868 g / L酵母提取物和0.861%(v:v)Tween 80的情况下,MDN效率从不使用酵母提取物或Tween 80的大约88%增加到大约95%,这将是一项重大的经济改进低利润,高产量的炼油工艺。

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