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Interfacial Super-Assembly of T-Mode Janus Porous Heterochannels from Layered Graphene and Aluminum Oxide Array for Smart Oriented Ion Transportation

  • Liping Zhang
  • , Shan Zhou
  • , Lei Xie
  • , Liping Wen
  • , Jinyao Tang
  • , Kang Liang
  • , Xiangyu Kong
  • , Jie Zeng
  • , Runhao Zhang
  • , Jiaqing Liu
  • , Beilei Qiu
  • , Lei Jiang
  • , Biao Kong
  • Fudan University
  • CAS - Technical Institute of Physics and Chemistry
  • The University of Hong Kong
  • University of New South Wales

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Salinity gradient energy existing in seawater and river water is a sustainable and environmentally energy resource that has drawn significant attention of researchers in the background of energy crisis. Nanochannel membrane with a unique nano-confinement effect has been widely applied to harvest the salinity gradient energy. Here, Janus porous heterochannels constructed from 2D graphene oxide modified with polyamide (PA-GO) and oxide array (anodic aluminum oxide, AAO) are prepared through an interfacial super-assembly method, which can achieve oriented ion transportation. Compared with traditional nanochannels, the PA-GO/AAO heterochannels with asymmetric charge distribution and T-mode geometrical nanochannel structure shows directional ionic rectification features and outstanding cation selectivity. The resulting heterochannel membrane can achieve a high-power density of up to 3.73 W m−2 between artificial seawater and river water. Furthermore, high energy conversion efficiency of 30.3% even in high salinity gradient can be obtained. These achievable results indicate that the PA-GO/AAO heterochannels has significant potential application in salinity gradient energy harvesting.

Original languageEnglish
Article number2100141
JournalSmall
Volume17
Issue number13
DOIs
StatePublished - 1 Apr 2021
Externally publishedYes

Keywords

  • T-mode
  • heterochannels
  • interfacial super-assembly
  • oriented ion transport
  • salinity gradient energy

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