Department of Chemical Engineering, Faculty of Engineering and Science, Curtin University Malaysia, CDT 250, 98009, Miri, Sarawak, Malaysia.
Graphene & Advanced 2D Materials Research Group (GAMRG), School of Science and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, 47500, Subang Jaya, Selangor, Malaysia.
Environ Sci Pollut Res Int. 2020 Sep;27(26):33270-33296. doi: 10.1007/s11356-020-09423-7. Epub 2020 Jun 12.
Two superior adsorbents, namely bentonite and graphene oxide (GO), were hybridised to study the removal of copper and nickel ions from synthetic and industrial wastewater. The as-synthesised GO, bentonite/GO and bentonite were characterised by Fourier transform infrared spectroscopy, scanning electron microscopy, energy-dispersive X-ray spectroscopy and N adsorption-desorption analysis. The factors influencing the adsorption behaviours including contact time, initial solution pH, ionic strength, initial concentration of metal ions, temperature and adsorbent dosage were systematically investigated by batch equilibrium method. The adsorption equilibrium for copper and nickel onto bentonite was attained in 90 min while equilibrium was reached in 60 min on bentonite/GO. The adsorption of copper and nickel was pH-dependent in the range from pH 2 to pH 7 and from pH 2 to pH 8. Pseudo-first-order kinetic model excellently described the adsorption of copper and nickel onto bentonite and bentonite/GO. The equilibrium adsorption data was well described by the Langmuir isotherm model and the maximum adsorption capacity was 248.9 mg/g, 558.4 mg/g, 215.8 mg/g and 402.5 mg/g for bentonite-copper, bentonite/GO-copper, bentonite-nickel and bentonite/GO-nickel adsorption systems, respectively. The bentonite/GO composite exhibited a higher adsorption capacity of both cations from synthetic wastewater than pure bentonite owning to the synergistic effect between bentonite and GO. In all adsorption studies, copper was more efficiently removed than nickel due to its higher tendency to form bond with adsorbent surfaces. The adsorption of copper and nickel on bentonite/GO was mainly due to cation exchange, intermolecular and electrostatic interactions and physisorption dominated the adsorption processes. The practical application of bentonite/GO on adsorption of copper was investigated using real wastewater and its removal efficiency was beyond 98%. The excellent adsorption performances of composites for the copper and nickel removal from wastewater demonstrated its significant potential for pollution mitigations.
两种优良的吸附剂,即膨润土和氧化石墨烯(GO),被混合在一起,以研究从合成和工业废水中去除铜和镍离子。通过傅里叶变换红外光谱、扫描电子显微镜、能量色散 X 射线光谱和 N 吸附-解吸分析对合成的 GO、膨润土/GO 和膨润土进行了表征。通过批量平衡法系统研究了影响吸附行为的因素,包括接触时间、初始溶液 pH 值、离子强度、金属离子初始浓度、温度和吸附剂用量。膨润土对铜和镍的吸附在 90 分钟内达到平衡,而膨润土/GO 在 60 分钟内达到平衡。铜和镍在 pH 2 到 pH 7 范围内的吸附和在 pH 2 到 pH 8 范围内的吸附均依赖于 pH。拟一级动力学模型很好地描述了铜和镍在膨润土和膨润土/GO 上的吸附。Langmuir 等温吸附模型很好地描述了平衡吸附数据,膨润土-铜、膨润土/GO-铜、膨润土-镍和膨润土/GO-镍吸附体系的最大吸附容量分别为 248.9、558.4、215.8 和 402.5 mg/g。膨润土/GO 复合材料对合成废水中的两种阳离子都表现出比纯膨润土更高的吸附能力,这是由于膨润土和 GO 之间的协同作用。在所有吸附研究中,由于铜与吸附剂表面形成键的倾向较高,因此铜比镍更有效地被去除。铜和镍在膨润土/GO 上的吸附主要是由于阳离子交换、分子间和静电相互作用,物理吸附主导了吸附过程。膨润土/GO 对实际废水中铜的吸附性能进行了研究,去除效率超过 98%。复合材料对废水铜和镍的去除具有优异的吸附性能,表明其在污染治理方面具有重要的应用潜力。