Muleta Werkne Sorsa, Denboba Sultan Mulisa, Bayu Abreham Bekele
School of Chemical Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Faculty of Materials Science and Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Heliyon. 2024 Mar 12;10(6):e27767. doi: 10.1016/j.heliyon.2024.e27767. eCollection 2024 Mar 30.
This study investigated the efficient removal of cadmium ions from aqueous solutions using calcium oxide nanoparticles (CaO NPs) synthesized from waste hen eggshells using a Sol-gel method and supported on corncob bio-adsorbent. The synthesized CaO NPs were characterized using FT-IR, XRD, specific surface area, and TGA. Batch adsorption experiments were conducted to examine the influence of process parameters such as adsorbent dosages, initial Cd (II) concentrations, pH values, and contact times. XRD analysis revealed that the synthesized CaO nanoparticles had a size of 24.34 nm and a specific surface area of 77.4 m/g. The optimal conditions for achieving the highest percent removal of cadmium (99.108%) were found to be an initial concentration of 55 ppm, pH 7, adsorbent dose of 0.75 g, and contact time of 50 min. The experimental removal efficiency closely matched the predicted value (99.0%), indicating the suitability of the method used in optimizing the removal of Cd (II) ions from aqueous solutions. These findings, corroborated by predicted values, underscore the efficacy of our method in optimizing cadmium removal. Based on these findings, it can be concluded that corncob-supported CaO NPs are optimized for their highest efficiency and hold great promise as a cost-effective and environmentally friendly solution for wastewater treatment with a focus on cadmium removal.
本研究考察了采用溶胶-凝胶法由废弃鸡蛋壳合成并负载于玉米芯生物吸附剂上的氧化钙纳米颗粒（CaO NPs）对水溶液中镉离子的高效去除效果。采用傅里叶变换红外光谱（FT-IR）、X射线衍射（XRD）、比表面积和热重分析（TGA）对合成的CaO NPs进行了表征。进行了批量吸附实验，以考察吸附剂用量、初始Cd（II）浓度、pH值和接触时间等工艺参数的影响。XRD分析表明，合成的CaO纳米颗粒尺寸为24.34 nm，比表面积为77.4 m/g。实现镉去除率最高（99.108%）的最佳条件为初始浓度55 ppm、pH 7、吸附剂剂量0.75 g和接触时间50 min。实验去除效率与预测值（99.0%）密切匹配，表明所采用的方法适用于优化从水溶液中去除Cd（II）离子。这些结果得到预测值的证实，强调了我们的方法在优化镉去除方面的有效性。基于这些发现，可以得出结论，玉米芯负载的CaO NPs具有最高的效率，作为一种经济高效且环境友好的专注于去除镉的废水处理解决方案具有巨大潜力。
