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响应面法优化 TiO2 光催化降解氯霉素的参数。

Optimization of parameters on photocatalytic degradation of chloramphenicol using TiO2 as photocatalyst by response surface methodology.

机构信息

Department of Municipal Engineering, Southeast University, Nanjing 210096, China.

出版信息

J Environ Sci (China). 2010;22(8):1281-9. doi: 10.1016/s1001-0742(09)60251-5.

Abstract

The experimental design methodology was applied for modeling and optimizing the operation parameters on photocatalytic degradation of chloramphenicol (CAP) using TiO2 as photocatalyst in a photoreactor. Three experimental parameters (including pH, TiO2 concentration and CAP initial concentration) were adopted to obtain the preliminary information. The multivariate experimental design was employed to establish a quadratic model as a functional relationship between the degradation rate of CAP and three experimental parameters. The interaction effects and optimal parameters were obtained by using Design Expert software. The optimal values of the operation parameters under the related constraint conditions were found at pH 6.4, TiO2 concentration of 0.94 g/L and CAP initial concentration of 19.97 mg/L, respectively. The degradation rate of CAP approached 85.97% under optimal conditions. The regression analysis with R2 value of 0.9519 had a good agreement between the experimental results and the predictive values. In addition, pH and TiO2 concentration had a significant influence on the degradation rate of CAP.

摘要

采用实验设计方法对 TiO2 光催化降解氯霉素(CAP)的反应参数进行了模型建立和优化。采用了三个实验参数(包括 pH 值、TiO2 浓度和 CAP 初始浓度)来获取初步信息。利用多元实验设计建立了一个二次模型,作为 CAP 降解率与三个实验参数之间的函数关系。通过 Design Expert 软件获得了相互作用效应和最佳参数。在相关约束条件下,操作参数的最佳值分别为 pH 值 6.4、TiO2 浓度 0.94 g/L 和 CAP 初始浓度 19.97 mg/L。在最佳条件下,CAP 的降解率接近 85.97%。R2 值为 0.9519 的回归分析表明,实验结果与预测值吻合较好。此外,pH 值和 TiO2 浓度对 CAP 的降解率有显著影响。

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