自支撑还原氧化石墨烯膜及其对铜的吸附能力。

Yu Yangjinghua, Wang Zhong, Sun Runjun, Chen Zhihua, Liu Meicheng, Zhou Xiang, Yao Mu, Wang Guohe

College of Textile and Clothing Engineering, Soochow University, Suzhou 215006, China.

School of Textiles and Materials, Xi'an Polytechnic University, Xi'an 710048, China.

Materials (Basel). 2020 Dec 31;14(1):146. doi: 10.3390/ma14010146.

Graphene stratiform membrane materials have been recently applied to heavy metal removal in aqueous systems via adsorption due to their high mechanical strength, chemical stability, and other properties. We applied reduced graphene oxide (rGO) alone as an adsorbent to remove heavy metal ions from wastewater. Self-supported rGO membrane was prepared using a green reduction method with sodium hydrosulfite. We used the Raman spectra to observe the structure of the rGO membrane. The morphology of the self-supported membrane was measured by a scanning electron microscope. The Cu adsorption performance was measured in terms of pH, reaction time, metal ion concentration, and temperature. The maximum Cu adsorption capacity of the rGO membrane was found to be 149.25 mg/g. The adsorption process followed a pseudo-second-order kinetic model, and adsorption isotherms were simulated by the Freundlich model.

由于具有高机械强度、化学稳定性等特性，石墨烯层状膜材料最近已通过吸附作用应用于水体系中的重金属去除。我们单独使用还原氧化石墨烯（rGO）作为吸附剂从废水中去除重金属离子。采用亚硫酸氢钠绿色还原法制备了自支撑rGO膜。我们利用拉曼光谱观察rGO膜的结构。通过扫描电子显微镜测量自支撑膜的形态。从pH值、反应时间、金属离子浓度和温度等方面测定了铜的吸附性能。发现rGO膜对铜的最大吸附容量为149.25 mg/g。吸附过程遵循准二级动力学模型，并用弗伦德利希模型模拟吸附等温线。