光电化学氧化法处理黄连素废水优化与分析

Optimization and Analysis of Photoelectrochemical Treatment of Berberine Wastewater

  • 摘要: 采用光电化学氧化法处理黄连素废水,通过单因素试验和基于中心组合设计的响应曲面法考察了偏压、初始pH、初始Cl-浓度和反应时间及其交互作用对废水TOC去除效果的影响,建立了以TOC去除率为响应值的二次多项式模型。结果表明,影响TOC去除效果的各因素显著性为偏压>初始Cl-浓度>反应时间>初始pH。各影响因素间存在一定的交互作用,其中偏压和初始Cl-浓度的交互作用最为显著。模型预测得到的最佳组合条件,偏压为2.5 V,初始Cl-浓度为98.6 mmol/L,初始pH为3.1,反应时间为3.6 h。最佳组合条件下TOC去除率的模型预测值为89.9%,验证试验结果为88.1%,与预测值基本一致。

     

    Abstract: Photoelectrochemical oxidation was applied to the treatment of berberine wastewater. The single and interactive effects of bias potential, initial pH, initial Cl- concentration and reaction time were investigated according to the single-factor test and the response surface methodology based on central composite design. Furthermore, a second-order polynomial regression equation was developed to describe the TOC removal rate of photoelectrochemical oxidation process and validated by analysis of variance. The results demonstrated that the significance of influence factor followed the order: bias potential > initial Cl- concentration > reaction time > initial pH, and the interactive influence between bias potential and initial Cl- concentration was the most significant. The optimal conditions with the predicted TOC removal of 89.9% were determined as bias potential of 2.5 V, initial Cl- concentration of 98.6 mmol/L, initial pH of 3.1 and reaction time of 3.6 h. Under these conditions, the actual TOC removal rate was 88.1%, which was highly consistent with the predicted result of the model equation.

     

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