石墨烯
吸附
水溶液中的金属离子
化学
共价键
金属
无机化学
化学工程
材料科学
离子
纳米技术
有机化学
工程类
作者
Grace M. Nisola,Khino J. Parohinog,Min Kyung Cho,Francis Kirby B. Burnea,Jin Yong Lee,Jeong Gil Seo,Seong‐Poong Lee,Wook‐Jin Chung
标识
DOI:10.1016/j.cej.2019.123421
摘要
Metal ions (Mn+) in water are considered as environmental pollutants, as industrial impurities or as potential secondary sources for valuable metals. Increasing generation of complex feed streams has raised the need for more specialized adsorbents that could preferentially capture the target Mn+. While graphene oxide (GO) is an effective adsorbent, its indiscriminate sequestration negatively affects its selectivity. To meet the growing demand for more Mn+-selective materials, GO adsorbents with dual features of ion recognition and magnetic responsiveness were developed. The bi-functional GOs were fabricated by in-situ nucleation of Fe3O4 nanoclusters on GO oxygenous groups and by direct grafting of ethynylbenzene linkers on its backbone, which served as tethering sites for the macrocyclic crown ether (CEs) ligands with tunable Mn+ affinities (i.e. [email protected]3O4-rGO). As proof-of-concept, [email protected]3O4-rGO was proven highly selective for Li+ capture, achieving α = 367–14,513 against Na+, K+, Mg2+, Ca2+ in seawater. Its Langmuir-type Li+ adsorption achieved nearly ~100% 12CE4 utilization (1.03 mmol g−1 CE loading). Its pseudo-second uptake rate demonstrated its rapid Li+ capture. [email protected]3O4-rGO is water-dispersible, magnetically retrievable, and recyclable with consistent Li+ uptake performance. By replacing the CEs with aza15CE5, aza18CE6 and dibenzo-24CE8, three more types of [email protected]3O4-rGOs (1.24–1.71 mmol CE g−1) were successfully synthesized with varying affinities towards heavy metals, radionuclides and alkali metal ions. These findings highlight the versatility of the proposed technique in producing a wide selection of [email protected]3O4-rGOs which can be used for selective Mn+ capture in various application for water decontamination, salts removal, and resource recovery.
科研通智能强力驱动
Strongly Powered by AbleSci AI