Selective Ionic Transport through Tunable Subnanometer Pores in Single-Layer Graphene Membranes
Name
2014- OHern - Selective Ionic Transport through Tunable Subnanometer Pores in Single-Layer Graphene Membranes.pdf
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1.31 MB
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Checksum (MD5)
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Author(s)
O’Hern, Sean C.
Idrobo, Juan-Carlos
Song, Yi
Kong, Jing
Laoui, Tahar
Atieh, Muataz
Boutilier, Michael Stephen Hatcher
Karnik, Rohit
Date Issued
February 2014
Journal
Nano Letters
Publisher
American Chemical Society (ACS)
Citation
O’Hern, Sean C., Michael S. H. Boutilier, Juan-Carlos Idrobo, Yi Song, Jing Kong, Tahar Laoui, Muataz Atieh, and Rohit Karnik. “Selective Ionic Transport through Tunable Subnanometer Pores in Single-Layer Graphene Membranes.” Nano Lett. 14, no. 3 (March 12, 2014): 1234–1241.
Version
Author's final manuscript
Abstract
We report selective ionic transport through controlled, high-density, subnanometer diameter pores in macroscopic single-layer graphene membranes. Isolated, reactive defects were first introduced into the graphene lattice through ion bombardment and subsequently enlarged by oxidative etching into permeable pores with diameters of 0.40 ± 0.24 nm and densities exceeding 10[superscript 12] cm[superscript –2], while retaining structural integrity of the graphene. Transport measurements across ion-irradiated graphene membranes subjected to in situ etching revealed that the created pores were cation-selective at short oxidation times, consistent with electrostatic repulsion from negatively charged functional groups terminating the pore edges. At longer oxidation times, the pores allowed transport of salt but prevented the transport of a larger organic molecule, indicative of steric size exclusion. The ability to tune the selectivity of graphene through controlled generation of subnanometer pores addresses a significant challenge in the development of advanced nanoporous graphene membranes for nanofiltration, desalination, gas separation, and other applications.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mechanical Engineering
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DOI of Published Version
https://doi.org/10.1021/nl404118f
