Optimizing Electrochemical Parameters for Enhanced Heavy Metal and Organic Matter Removal by Electrocoagulation- lectrofloculation Reactors-A Comparative Study

CHEMISTRY AFRICA-A JOURNAL OF THE TUNISIAN CHEMICAL SOCIETY(2024)

引用 0|浏览0
暂无评分
摘要
Industrial effluents laden with heavy metals and organic matter necessitate diligent treatment, owing to their pronounced threat to both biota and human populations, attributed to their enduring persistence, inherent toxicity, and proclivity for bioaccumulation. This investigation centers on the eradication of copper, nickel, and humic acid (HA) through the utilization of the electrocoagulation- electrofloculation process (EC-EF) employing aluminum electrodes. In an endeavor to enhance the efficacy of the EC process, a comprehensive examination of various EC parameters including solution pH, current density (J), electrolyte concentration, and connection mode was conducted. Optimal outcomes, characterized by minimal residual concentrations and diminished energy consumption, were achieved under specific conditions: pH 5 for Cu and Ni, pH 4 for HA, current density of 1.388 mA cm-2, electrolyte concentration of 1 g L-1 for Cu, 1.5 g L-1 for Ni, and 0.15 g L-1 for HA, with monopolar connection mode. Under these optimized parameters, complete HA elimination and notably low residual concentrations of Cu (0.4 mg L-1) and Ni (2.354 mg L-1) were attained, translating to elimination rates of 100%, 99%, and 94.65% for HA, Cu, and Ni, respectively, from industrial wastewater. This accomplishment was realized within modest electrolysis duration of 20 min, with a commendably low energy consumption of 0.04 kW.m-3. The demonstrated 100% elimination rate of HA underscores the superior efficacy of EC in organic matter removal when compared to its efficacy in heavy metal removal. These compelling results posit EC as a cost-effective and viable technique for the treatment of industrial wastewater.
更多
查看译文
关键词
Wastewater,Industrial wastewater,Electrocoagulation,Electrofloculation,Copper,Nickel,Humic acid,Optimisation,Energy consumption,Treatment cost
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要