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Optimization and modelling using the response surface methodology (RSM) for ciprofloxacin removal by electrocoagulation

机译:使用响应表面方法(RSM)进行电凝去除环丙沙星的优化和建模

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In this study, response surface methodology (RSM) was used to investigate the effects of different operating conditions on the removal of ciprofloxacin (CIP) by the electrocoagulation (EC) with pure iron electrodes. Box-Behnken design was used for the optimization of the EC process and to evaluate the effects and interactions of process variables such as applied current density, process time, initial CIP concentration and pH on the removal of CIP by the EC process. The optimum conditions for maximum CIP removal (86.6%) were found as pH = 4; C-o = 5 mg.L1-; I-d = 4.325 mA.cm(2-); t(process) = 10 min. The model adequacy and the validity of the optimization step were confirmed with additional experiments which were performed under the proposed optimum conditions. The predicted CIP removal as 86.6% was achieved at each experiment by using the optimum conditions. These results specify that the RSM is a useful tool for optimizing the operational conditions for CIP removal by the EC process.
机译:在这项研究中,使用响应表面方法(RSM)来研究不同操作条件对纯铁电极电凝(EC)去除环丙沙星(CIP)的影响。 Box-Behnken设计用于优化EC工艺,并评估工艺变量(例如施加的电流密度,工艺时间,初始CIP浓度和pH)对EC工艺去除CIP的影响和相互作用。发现最大CIP去除率的最佳条件(86.6%)为pH = 4; C 0 = 5毫克。 I-d = 4.325 mA.cm(2-); t(过程)= 10分钟模型的适当性和优化步骤的有效性通过在建议的最佳条件下进行的其他实验得以确认。通过使用最佳条件,在每个实验中,预计的CIP去除率为86.6%。这些结果表明,RSM是优化EC工艺去除CIP的操作条件的有用工具。

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