Banza Musamba, Rutto Hilary
Clean Technology and Applied Materials Research Group, Department of Chemical and Metallurgical Engineering, Vaal University of Technology, South Africa.
J Environ Sci Health A Tox Hazard Subst Environ Eng. 2022;57(2):117-129. doi: 10.1080/10934529.2022.2036552. Epub 2022 Feb 9.
Heavy metal ions are widely recognized for their harmful effects on human health and the environment. Heavy metal ions removal using nanocomposite hydrogel is a promising method for industrial applications and process development owing to their utilization in both kinematic and dynamic adsorption process. There is a need to develop simple, low-cost water purification techniques that use biodegradable bio-based natural polymers like cellulose nanocrystal that have been modified with nanomaterials. These innovative functional cellulose nanocrystals-based nanomaterials have been shown to successfully remove a variety of contaminants from wastewater to acceptable levels. Due to their capacity to hold water in their porous structures, hydrogels are the most commonly used 3D polymer mesh materials for environmental remediation. The application of potential hydrogel for the absorption of Cu, Ni, Zn and Cd ions from an aqueous solution in a packed bed adsorption column was studied in this work. The adsorbent was studied using FTIR, SEM, XRD and TGA. The influence of breakthrough factors such as bed height (10, 17 and 25 cm) influent concentration (10, 20 and 50 mg/L) and the feed flow rate (10, 20 and 30 mL/min) was assessed. Bed Depth Service Time, Thomas and Yoon-Nelson models were used to fit the experimental data. With an increase in bed height, breakthrough and exhaustion time, the removal efficiency rose to 99.42 ± 0.12 for Cu, 99.23 ± 1.16 for Ni, 99.36 ± 0.89 for Cd and 98.94 ± 0.48 for Zn, but declined with increased flow rate and influent concentration. Better performance was observed at a bed height of 25 cm, an influent metal ion concentration of 10 mg/L and a flow velocity of 10 mL/min. The BDST and Yoon-Nelson models were both successfully used to predict the breakthrough curves of heavy metal ions removal.
重金属离子因其对人类健康和环境的有害影响而广为人知。使用纳米复合水凝胶去除重金属离子是一种很有前景的工业应用和工艺开发方法,因为它们可用于运动学和动态吸附过程。有必要开发简单、低成本的水净化技术,这些技术使用可生物降解的生物基天然聚合物,如已用纳米材料改性的纤维素纳米晶体。这些创新的基于功能性纤维素纳米晶体的纳米材料已被证明能成功地将废水中的各种污染物去除到可接受的水平。由于水凝胶能够在其多孔结构中保持水分,因此它们是环境修复中最常用的三维聚合物网状材料。本研究考察了潜在水凝胶在填充床吸附柱中从水溶液中吸附铜、镍、锌和镉离子的应用。使用傅里叶变换红外光谱仪(FTIR)、扫描电子显微镜(SEM)、X射线衍射仪(XRD)和热重分析仪(TGA)对吸附剂进行了研究。评估了床层高度(10、17和25厘米)、进水浓度(10、20和50毫克/升)和进料流速(10、20和30毫升/分钟)等穿透因素的影响。使用床层深度服务时间、托马斯和尹-尼尔森模型对实验数据进行拟合。随着床层高度、穿透时间和耗尽时间的增加,铜的去除效率提高到99.42±0.12,镍为99.23±1.16,镉为99.36±0.89,锌为98.94±0.48,但随着流速和进水浓度的增加而下降。在床层高度为25厘米、进水金属离子浓度为10毫克/升和流速为10毫升/分钟时观察到更好的性能。BDST模型和尹-尼尔森模型均成功用于预测重金属离子去除的穿透曲线。