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

TitleScalable Graphene-Based Membranes for Ionic Sieving with Ultrahigh Charge Selectivity
Publication TypeJournal Article
Year of Publication2017
AuthorsHong, Seunghyun, Constans Charlotte, Martins Marcos Vinicius S., Seow Yong Chin, Carrio Juan Alfredo Gu, and Garaj Slaven
JournalNano Lett.
Volume17
Pagination728–732
Date Published02/2017
ISSN1530-6984
KeywordsGraphene oxide membranes, inversion, ion exchange, ionic permeability, ionic sieving, nanopores, oxide membranes, permeation, separation, single-layer, surface charges, Transport, water desalination
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.

DOI10.1021/acs.nanolett.6b03837

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