Tunable sieving of ions using graphene oxide membranes
- PMID: 28369049
- DOI: 10.1038/nnano.2017.21
Tunable sieving of ions using graphene oxide membranes
Abstract
Graphene oxide membranes show exceptional molecular permeation properties, with promise for many applications. However, their use in ion sieving and desalination technologies is limited by a permeation cutoff of ∼9 Å (ref. 4), which is larger than the diameters of hydrated ions of common salts. The cutoff is determined by the interlayer spacing (d) of ∼13.5 Å, typical for graphene oxide laminates that swell in water. Achieving smaller d for the laminates immersed in water has proved to be a challenge. Here, we describe how to control d by physical confinement and achieve accurate and tunable ion sieving. Membranes with d from ∼9.8 Å to 6.4 Å are demonstrated, providing a sieve size smaller than the diameters of hydrated ions. In this regime, ion permeation is found to be thermally activated with energy barriers of ∼10-100 kJ mol-1 depending on d. Importantly, permeation rates decrease exponentially with decreasing sieve size but water transport is weakly affected (by a factor of <2). The latter is attributed to a low barrier for the entry of water molecules and large slip lengths inside graphene capillaries. Building on these findings, we demonstrate a simple scalable method to obtain graphene-based membranes with limited swelling, which exhibit 97% rejection for NaCl.
Comment in
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Ion sieving and desalination: Energy penalty for excess baggage.Nat Nanotechnol. 2017 Jul;12(6):500-501. doi: 10.1038/nnano.2017.53. Epub 2017 Apr 3. Nat Nanotechnol. 2017. PMID: 28369048 No abstract available.
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Reply to: Random interstratification in hydrated graphene oxide membranes and implications for seawater desalination.Nat Nanotechnol. 2022 Feb;17(2):134-135. doi: 10.1038/s41565-021-01067-z. Epub 2022 Jan 20. Nat Nanotechnol. 2022. PMID: 35058652 No abstract available.
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Random interstratification in hydrated graphene oxide membranes and implications for seawater desalination.Nat Nanotechnol. 2022 Feb;17(2):131-133. doi: 10.1038/s41565-021-01066-0. Epub 2022 Jan 20. Nat Nanotechnol. 2022. PMID: 35058653 No abstract available.
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