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Optimization of the photoelectrocatalytic oxidation of landfill leachate using copper and nitrate co-doped TiO2 (Ti) by response surface methodology

机译:响应面法优化铜和硝酸盐共掺杂TiO2(Ti)对垃圾渗滤液的光电催化氧化优化

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摘要

In this paper, a statistically-based experimental design with response surface methodology (RSM) was employed to examine the effects of functional conditions on the photoelectrocatalytic oxidation of landfill leachate using a Cu/N co-doped TiO2 (Ti) electrode. The experimental design method was applied to response surface modeling and the optimization of the operational parameters of the photoelectro-catalytic degradation of landfill leachate using TiO2 as a photo-anode. The variables considered were the initial chemical oxygen demand (COD) concentration, pH and the potential bias. Two dependent parameters were either directly measured or calculated as responses: chemical oxygen demand (COD) removal and total organic carbon (TOC) removal. The results of this investigation reveal that the optimum conditions are an initial pH of 10.0, 4377.98mgL-1 initial COD concentration and 25.0 V of potential bias. The model predictions and the test data were in satisfactory agreement. COD and TOC removals of 67% and 82.5%, respectively, were demonstrated.Under the optimal conditions, GC/MS showed 73 organic micro-pollutants in the raw landfill leachate which included hydrocarbons, aromatic compounds and esters. After the landfill leachate treatment processes, 38 organic micro-pollutants disappeared completely in the photoelectrocatalytic process.
机译:在本文中,采用基于统计的实验设计和响应表面方法(RSM)来研究功能条件对使用Cu / N共掺杂TiO2(Ti)电极对垃圾渗滤液进行光电催化氧化的影响。将实验设计方法应用于响应面建模,并以TiO2为光阳极,对垃圾渗滤液的光电催化降解性能进行了优化。所考虑的变量是初始化学需氧量(COD)浓度,pH和电势偏差。直接测量或计算两个相关参数作为响应:化学需氧量(COD)去除和总有机碳(TOC)去除。研究结果表明,最佳条件为初始pH值为10.0,初始COD浓度为4377.98mgL -1 ,电位偏置为25.0V。模型预测与试验数据吻合良好。结果表明,COD和TOC的去除率分别为67%和82.5%。在最佳条件下,GC / MS在垃圾填埋场渗滤液中显示73种有机微污染物,其中包括碳氢化合物,芳族化合物和酯类。垃圾渗滤液处理后,在光电催化过程中38种有机微污染物完全消失。

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