Social Determinants of Health Research Center (SDHRC), Department of Environmental Health Engineering, School of Public Health, Hamadan University of Medical Science, Hamadan, Iran.
Social Determinants of Health Research Center (SDHRC), Department of Environmental Health Engineering, School of Public Health, Hamadan University of Medical Science, Hamadan, Iran.
J Environ Manage. 2019 Jun 1;239:198-210. doi: 10.1016/j.jenvman.2019.03.055. Epub 2019 Mar 19.
This research study focused on the optimization of the synthesis of carbon-doped nano-MgO (C-MgO) and the investigation of its catalytic capacity in a catalytic ozonation process (COP) for the removal of humic acid (HA). Characterization analyses, including SEM, EDX, XRD, BET, and photoluminescence test showed that the C-MgO was successfully synthesized. L8 orthogonal arrays according to the Taguchi methodology optimized the synthesis of the C-MgO as follows: sucrose to MgO ratio = 0.5, sonication time = 15 min, calcination temperature = 400 °C and pH = 10.5. A central composite design based on response surface methodology was employed to optimize and model the COP in the removal of HA. A quadratic polynomial model with p-value < 0.0001 and R = 0.9988 showed a better fit to experimental responses. The optimum levels of the studied parameters in the COP based on the predictive model were obtained as follows: pH = 9.5, reaction time = 12 min, catalyst dose = 1 g/L, and HA concentration = 5 mg/L. The HA mineralization was determined to be 86.8% at the 100 min reaction time. Additionally, the COP exhibited 34% synergistic effect and the kinetic rate constant of 0.1898 min in the HA removal. The presence of tert-butanol, methanol, salicylic acid, and some anions did not significantly affect the removal of the HA in the COP. From a practical view, this report indicated that the C-MgO catalyst could be potentially applied in the COP for the treatment of the water having high concentrations of HA substances.
本研究专注于优化掺碳纳米氧化镁(C-MgO)的合成,并研究其在催化臭氧化过程(COP)中去除腐殖酸(HA)的催化能力。通过 SEM、EDX、XRD、BET 和光致发光测试等表征分析,成功合成了 C-MgO。根据田口方法学的 L8 正交数组优化了 C-MgO 的合成条件为:蔗糖与 MgO 的比例=0.5、超声时间=15min、煅烧温度=400°C 和 pH=10.5。采用基于响应面法的中心复合设计优化并建立了 COP 去除 HA 的模型。具有 p 值<0.0001 和 R=0.9988 的二次多项式模型对实验响应具有更好的拟合度。根据预测模型,在 COP 中研究参数的最佳水平如下:pH=9.5、反应时间=12min、催化剂剂量=1g/L 和 HA 浓度=5mg/L。在 100min 的反应时间下,HA 的矿化度被确定为 86.8%。此外,COP 在 HA 去除中表现出 34%的协同效应和 0.1898min 的动力学速率常数。叔丁醇、甲醇、水杨酸和一些阴离子的存在并没有显著影响 COP 中 HA 的去除。从实际应用的角度来看,本报告表明 C-MgO 催化剂在 COP 处理高浓度 HA 物质的水中具有潜在的应用前景。