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Optimization of Malachite Green Removal from Water by TiO2 Nanoparticles under UV Irradiation

机译:TiO2纳米粒子在紫外线照射下去除孔雀石绿的工艺优化。

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摘要

TiO2 nanoparticles with surface porosity were prepared by a simple and efficient method and presented for the removal of malachite green (MG), a representative organic pollutant, from aqueous solution. Photocatalytic degradation experiments were systematically conducted to investigate the influence of TiO2 dosage, pH value, and initial concentrations of MG. The kinetics of the reaction were monitored via UV spectroscopy and the kinetic process can be well predicted by the pseudo first-order model. The rate constants of the reaction kinetics were found to decrease as the initial MG concentration increased; increased via elevated pH value at a certain amount of TiO2 dosage. The maximum efficiency of photocatalytic degradation was obtained when the TiO2 dosage, pH value and initial concentrations of MG were 0.6 g/L, 8 and 10−5 mol/L (M), respectively. Results from this study provide a novel optimization and an efficient strategy for water pollutant treatment.
机译:通过一种简单有效的方法制备了具有表面孔隙度的TiO2纳米颗粒,并提出了从水溶液中去除代表性的有机污染物孔雀石绿(MG)的方法。系统地进行了光催化降解实验,以研究TiO2用量,pH值和MG初始浓度的影响。通过UV光谱监测反应的动力学,并且可以通过伪一级模型很好地预测动力学过程。发现反应动力学的速率常数随着初始MG浓度的增加而降低;在一定量的TiO2剂量下,通过提高pH值可以增加。当TiO2的用量,pH值和MG的初始浓度分别为0.6 g / L,8和10 mol / L(M)时,获得了最大的光催化降解效率。这项研究的结果为水污染物的处理提供了新颖的优化方法和有效的策略。

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