首页> 外文期刊>International Journal of Electrochemical Science >Degradation of Malachite Green by Visible Light-Assisted Electrocatalytic Treatment Using N-V co-doped TiO2?as Photocatalyst
【24h】

Degradation of Malachite Green by Visible Light-Assisted Electrocatalytic Treatment Using N-V co-doped TiO2?as Photocatalyst

机译:使用N-V共掺杂TiO2的可见光电催化处理通过可见光辅助电催化处理孔雀石绿色的降解?作为光催化剂

获取原文
           

摘要

A γ-Al2O3-supported N-V co-doped TiO2 (N-V/TiO2/γ-Al2O3) photocatalyst was prepared as a particleelectrode for a visible light-assisted multiphase electrocatalytic treatment. In this experiment, theNa2SO4 concentration, aeration, voltage and pH are used as variables, and COD removal is theresponse for multivariate optimization. The optimal condition for maximizing the COD removal ofmalachite green was obtained as Na2SO4 concentration of 0.12 moL/L, Voltage of 10.35V, Aeration of51.9L/h and pH of 4. The optimal predicted and experimental COD removal were 86.94% and 86.17%.To study the intermediates and final products of malachite green degradation and further study thephotoelectrochemical degradation pathway of malachite green, the solutions were sampled andpretreated for GC-MS analysis. A possible photoelectrochemical degradation pathway of MG werespeculated. The visible light-assisted multiphase electrocatalytic method had a remarkable effect on thedegradation of the simulated malachite green wastewater, and the operation was simple. By furtheroptimizing the reaction conditions, it could be applied to the practice of malachite green removal inwastewater treatment engineering.
机译:将γ-Al 2 O 3负载的N-V共掺杂TiO 2(N-V / TiO 2 /γ-Al 2 O 3)制备光催化剂作为可见光辅助多相电催化处理的粒状电极。在该实验中,使用浓度,通气,电压和pH作为变量,并且COD去除对于多变量优化来说是缺点。获得最大化COD去除的最佳条件为甘然基团绿色的Na 2 SO 4浓度为0.12mol / L,电压为10.35V,曝气量为51.9L / h和4.最佳预测和实验COD去除率为86.94%和86.17% 。研究孔雀石绿化的中间体和最终产品,进一步研究孔雀石绿的Photoe电化学降解途径,对溶液进行取样并预期用于GC-MS分析。 MG的可能的光电化学降解途径。可见光辅助多相电催化方法对模拟的孔雀石绿废水进行了显着作用,操作简单。通过进一步优化反应条件,可以应用于孔雀石绿色去除系列治疗工程的实践。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号