响应面方法优化光催化降解抗生素类污染物过程研究

近年来抗生素类污染物对环境的影响及其生态毒性日益引起广大研究者的关注。对TiO2光催化降解典型抗生素类污染物磺胺二甲嘧啶（SMT）进行了研究。采用中心组合设计方法（CCD）进行试验设计,使用响应面方法（RSM）对光催化过程中的影响因素（TiO2浓度、初始磺胺二甲嘧啶浓度、双氧水浓度）进行了探讨和分析,并对反应过程进行了优化。优化结果表明,最佳反应条件为：TiO2浓度1.74 g/L、初始磺胺二甲嘧啶浓度20.0 mg/L、双氧水浓度106.28 mg/L,在优化条件下的磺胺二甲嘧啶光催化实际去除率为83.6%。响应面方法能够优化光催化条件,预测光催化结果,有利于优化光反应器的设计,对于工程化光催化水处理技术的发展具有一定的参考价值。

Optimization of Photocatalytic Degradation of Antibiotic Pollutant by Response Surface Method

More and more attention has been paid to the challenging issue on environmental contamination and ecological poisons of antibiotics in recent years.In this paper,photocatalytic degradation of antibiotic Sulfamethazine（SMT）by TiO2 was studied in a batch reactor.Response surface methodology（RSM）and central composite design（CCD）were employed to optimize three parameters,viz.TiO2 concentration,initial SMT concentration,and H2O2 concentration.The optimized conditions of photocatalytic degradation of SMT were as follows：TiO2 concentration 1.74 g/L;initial SMT concentration 20.0 mg/L;H2O2 concentration 106.28 mg/L.Under these conditions,the maximal Sulfamethazine practical removal efficiency of 83.6% was achieved.Response surface method can optimize photocatalytic conditions and predict photocatalytic results.The study has certain guiding sense and the reference value in development of photocatalytic technology and photoreactor design.