乙酰甲胺磷UV-TiO_2/类Fenton光催化降解过程的响应面法优化  

Optimization of photocatalytic degradation of acephate by UV-TiO_2/Fenton-like process using response surface methodology

作　　者：王欣[1] 王金翠[1] 殷晓梅[1] 杜银花[1] 刘宝林[1] 

机构地区：[1]上海理工大学食品质量与安全研究所,上海200093

出　　处：《应用化工》2013年第1期33-40,43,共9页Applied Chemical Industry

基　　金：上海市自然基金项目(10ZR1420700);上海市研究生创新基金项目(JWCXSL1102)

摘　　要：为提高乙酰甲胺磷农药残留降解效率,在单因素实验的基础上,应用响应面法对乙酰甲胺磷纳米TiO2-UV/类Fenton光催化降解过程中纳米TiO2添加量、农药初始浓度、添加类Fenton试剂及反应时间等因素进行了优化,建立并验证了所得到的预测模型。结果表明,乙酰甲胺磷纳米TiO2-UV/类Fenton光催化降解过程可应用所建立的二次多项回归拟合方程进行预测,模型拟合良好;同时,除类Fenton组成比例与乙酰甲胺磷初始浓度之间无交互作用外,其他各因素之间均存在显著交互作用;计算得到的优化工艺条件为:纳米TiO2添加量0.1 g/L,H2O2∶Cu2+添加比例26.34,乙酰甲胺磷初始浓度23.09 mg/L,光照时间25.42 min,在此条件下,乙酰甲胺磷降解率预测值为100.414%,验证值为99.99%。说明响应面法对筛选光催化降解工艺条件,提高光催化降解效率是十分有效的。In order to further improve the degradation efficiency of acephate, based on the single factor re- suits,the effects of TiO2 concentration, initial acephate concentration, Fenton-like agent （ H2O2 ＋ Cu2＋ ） and reaction time on the photo catalytic degradation efficiency of acephate have been optimized using re- sponse surface method （RSM） , and a predictive model was developed and experimentally verified. The re- suits indicated that the photo catalytic degradation efficiency of aeephate by TiO2-UV/ Fenton-like process could be well predicted by a quadratic regression model Although no synergistic effect existed be- tween the molar ratio of H2O2 ： Cu2＋ and initial acephafe concentration ,significant synergistic effects were observed among the other factors. Under the optimal conditions were as follows： TiO2 concentration 0.1 g/L, initial acephate concentration 23.09 mg/L,molar ratio of H2O2 ： Cu2＋ 26.34 and reaction time 25.42 min, the predicted degradation efficiency of acephate could be 100. 414% ,which was in good con- sistency with the experimentally result （99.99%）. The results proved that RSM could be sucessfully em- ployed to optimize the photocatalytic degradation process of acephate, and improve the photocatalytic deg- radation efficiency.

关 键 词：乙酰甲胺磷 光催化降解 类FENTON 响应面 

分 类 号：TQ450.9[化学工程—农药化工] O644.19[理学—物理化学]