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Selectively Enhanced Ion Transport in Graphene Oxide Membrane/PET Conical Nanopore System

Author:
Dong, Yuhua, Cheng, Yaxiong, Xu, Guoheng, Cheng, Hongwei, Huang, Kejing, Duan, Jinglai, Mo, Dan, Zeng, Jian, Bai, Jing, Sun, Youmei, Liu, Jie, Yao, Huijun
Source:
ACS applied materials & interfaces 2019 v.11 no.16 pp. 14960-14969
ISSN:
1944-8252
Subject:
antibiotics, cations, desalination, dispersibility, graphene oxide, moieties, nanopores, nanosheets, pH, permeability, potassium chloride, seawater, solvents
Abstract:
Graphene oxide (GO) has become a promising 2D material in many areas, such as gas separation, seawater desalination, antibacterial materials, and so on because of its abundant oxygen-containing functional groups and excellent dispersibility in various solvents. The graphene oxide membrane (GOM), a laminar and channel-rich structure assembled by stacked GO nanosheets, served as a kind of precise and ultrafast separation material has attracted widespread attention in membrane separation field. To break the trade-off between ion permeability and ion selectivity of separation membrane based on GOM, GOM/conical nanopore system is obtained by spin-coating ultrathin GOM on PET conical nanopore, which possesses ion rectification property. Comparing to pure PET conical nanopore, the existence of GOM not only enhances the cation conductance but also makes the ion rectification ratio increase from 4.6 to 238.0 in KCl solution. Assisted by COMSOL simulation, it is proved that the GOM can absorb large amount of cations and act as cation source to improve the ion selectivity and rectification effect of GOM/conical nanopore system. Finally, the chemical stability of GOM/conical nanopore is also investigated and the corresponding results reveal that the GOM/conical nanopore system can perform the ion rectification behavior in a wider pH range than pure PET conical nanopore. The presented findings demonstrate the great potential applications of GOM/conical nanopore system in ionic logic circuits and sensor systems.
Agid:
6377178