Journal article
Efficient metal ion sieving in rectifying subnanochannels enabled by metal-organic frameworks
Nature Materials, Vol.19(7), pp.767-774
09/03/2020
PMID: 32152561
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Source: InCites
Abstract
Biological ion channels have remarkable ion selectivity, permeability and rectification properties, but it is challenging to develop artificial analogues. Here, we report a metal–organic framework-based subnanochannel (MOFSNC) with heterogeneous structure and surface chemistry to achieve these properties. The asymmetrically structured MOFSNC can rapidly conduct K+, Na+ and Li+ in the subnanometre-to-nanometre channel direction, with conductivities up to three orders of magnitude higher than those of Ca2+ and Mg2+, equivalent to a mono/divalent ion selectivity of 103. Moreover, by varying the pH from 3 to 8 the ion selectivity can be tuned further by a factor of 102 to 104. Theoretical simulations indicate that ion–carboxyl interactions substantially reduce the energy barrier for monovalent cations to pass through the MOFSNC, and thus lead to ultrahigh ion selectivity. These findings suggest ways to develop ion selective devices for efficient ion separation, energy reservation and power generation.
Details
- Title
- Efficient metal ion sieving in rectifying subnanochannels enabled by metal-organic frameworks
- Creators
- Jun Lu - Monash UniversityHuacheng Zhang - Monash UniversityJue Hou - Monash UniversityXingya Li - Monash UniversityXiaoyi Hu - Monash UniversityYaoxin Hu - Monash UniversityChristopher D Easton - CSIRO ManufacturingQinye Li - Monash UniversityChenghua Sun - Swinburne University of TechnologyAaron W Thornton - CSIRO ManufacturingMatthew R Hill - CSIRO ManufacturingXiwang Zhang - Monash UniversityGengping Jiang - Wuhan University of Science and TechnologyJefferson Zhe Liu - University of MelbourneAnita J Hill - CSIRO ManufacturingBenny D Freeman - The University of Texas at AustinLei Jiang - Monash UniversityHuanting Wang - Monash University
- Publication Details
- Nature Materials, Vol.19(7), pp.767-774
- Identifiers
- 991013035779602368
- Academic Unit
- Faculty of Science and Engineering; Science
- Language
- English
- Resource Type
- Journal article