Broadening the Gas Separation Utility of Monolayer Nanoporous Graphene Membranes by an Ionic Liquid Gating
Abstract
Ultrathin two-dimensional (2D) monolayer atomic crystal materials offer great potential for extending the field of novel separation technology due to their infinitesimal thickness and mechanical strength. One difficult and ongoing challenge is to perforate the 2D monolayer material with subnanometer pores with atomic precision for sieving similarly sized molecules. Here, we demonstrate the exceptional separation performance of ionic liquid (IL)/graphene hybrid membranes for challenging separation of CO2 and N2. Notably, the ultrathin ILs afford dynamic tuning of the size and chemical affinity of nanopores while preserving the high permeance of the monolayer nanoporous graphene membranes. The hybrid membrane yields a high CO2 permeance of 4000 GPU and an outstanding CO2/N2 selectivity up to 32. Finally, this rational hybrid design provides a universal direction for broadening gas separation capability of atomically thin nanoporous membranes.
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences & Biosciences Division
- OSTI Identifier:
- 1756247
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nano Letters
- Additional Journal Information:
- Journal Volume: 20; Journal Issue: 11; Journal ID: ISSN 1530-6984
- Publisher:
- American Chemical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 77 NANOSCIENCE AND NANOTECHNOLOGY; nanoporous graphene; gas separation; ultrathin membrane; ionic liquid
Citation Formats
Guo, Wei, Mahurin, Shannon Mark, Unocic, Raymond, Luo, Huimin, and Dai, Sheng. Broadening the Gas Separation Utility of Monolayer Nanoporous Graphene Membranes by an Ionic Liquid Gating. United States: N. p., 2020.
Web. doi:10.1021/acs.nanolett.0c02860.
Guo, Wei, Mahurin, Shannon Mark, Unocic, Raymond, Luo, Huimin, & Dai, Sheng. Broadening the Gas Separation Utility of Monolayer Nanoporous Graphene Membranes by an Ionic Liquid Gating. United States. https://doi.org/10.1021/acs.nanolett.0c02860
Guo, Wei, Mahurin, Shannon Mark, Unocic, Raymond, Luo, Huimin, and Dai, Sheng. Fri .
"Broadening the Gas Separation Utility of Monolayer Nanoporous Graphene Membranes by an Ionic Liquid Gating". United States. https://doi.org/10.1021/acs.nanolett.0c02860. https://www.osti.gov/servlets/purl/1756247.
@article{osti_1756247,
title = {Broadening the Gas Separation Utility of Monolayer Nanoporous Graphene Membranes by an Ionic Liquid Gating},
author = {Guo, Wei and Mahurin, Shannon Mark and Unocic, Raymond and Luo, Huimin and Dai, Sheng},
abstractNote = {Ultrathin two-dimensional (2D) monolayer atomic crystal materials offer great potential for extending the field of novel separation technology due to their infinitesimal thickness and mechanical strength. One difficult and ongoing challenge is to perforate the 2D monolayer material with subnanometer pores with atomic precision for sieving similarly sized molecules. Here, we demonstrate the exceptional separation performance of ionic liquid (IL)/graphene hybrid membranes for challenging separation of CO2 and N2. Notably, the ultrathin ILs afford dynamic tuning of the size and chemical affinity of nanopores while preserving the high permeance of the monolayer nanoporous graphene membranes. The hybrid membrane yields a high CO2 permeance of 4000 GPU and an outstanding CO2/N2 selectivity up to 32. Finally, this rational hybrid design provides a universal direction for broadening gas separation capability of atomically thin nanoporous membranes.},
doi = {10.1021/acs.nanolett.0c02860},
journal = {Nano Letters},
number = 11,
volume = 20,
place = {United States},
year = {Fri Oct 16 00:00:00 EDT 2020},
month = {Fri Oct 16 00:00:00 EDT 2020}
}
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