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Scalable Graphene-Based Membranes for Ionic Sieving with Ultrahigh Charge Selectivity

  • Seunghyun Hong
  • , Charlotte Constans
  • , Marcos Vinicius Surmani Martins
  • , Yong Chin Seow
  • , Juan Alfredo Guevara Carrió
  • , Slaven Garaj
    • National University of Singapore
    • Presbyterian University Mackenzie

    Research output: Contribution to journalArticlepeer-review

    209 Scopus citations

    Abstract

    Nanostructured graphene-oxide (GO) laminate membranes, exhibiting ultrahigh water flux, are excellent candidates for next generation nanofiltration and desalination membranes, provided the ionic rejection could be further increased without compromising the water flux. Using microscopic drift-diffusion experiments, we demonstrated the ultrahigh charge selectivity for GO membranes, with more than order of magnitude difference in the permeabilities of cationic and anionic species of equivalent hydration radii. Measuring diffusion of a wide range of ions of different size and charge, we were able to clearly disentangle different physical mechanisms contributing to the ionic sieving in GO membranes: electrostatic repulsion between ions and charged chemical groups; and the compression of the ionic hydration shell within the membrane's nanochannels, following the activated behavior. The charge-selectivity allows us to rationally design membranes with increased ionic rejection and opens up the field of ion exchange and electrodialysis to the GO membranes.

    Original languageBritish English
    Pages (from-to)728-732
    Number of pages5
    JournalNano Letters
    Volume17
    Issue number2
    DOIs
    StatePublished - 8 Feb 2017

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 6 - Clean Water and Sanitation
      SDG 6 Clean Water and Sanitation

    Keywords

    • Graphene oxide membranes
    • ion exchange
    • ionic permeability
    • ionic sieving
    • surface charges

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