Cited 2 time in webofscience Cited 2 time in scopus

Biomimetic Liquid-Sieving through Covalent Molecular Meshes

Title
Biomimetic Liquid-Sieving through Covalent Molecular Meshes
Authors
Byeon, M[Byeon, Minseon]Bae, JS[Bae, Jae-Sung]Park, S[Park, Seongjin]Jang, YH[Jang, Yun Hee]Park, JW[Park, Ji-Woong]
DGIST Authors
Park, S[Park, Seongjin]; Jang, YH[Jang, Yun Hee]
Issue Date
2016-11-08
Citation
Chemistry of Materials, 28(21), 8044-8050
Type
Article
Article Type
Article
Keywords
Biological CellsBiomimeticsCytologyGlucoseLayer by LayerLiquidsMesh GenerationMolecular NetworksMolecular PoresMoleculesNano-Porous SubstratePorous MaterialsProteinsSmall MoleculesTransmembrane PressuresWater Molecule
ISSN
0897-4756
Abstract
The porin pores of biological cell membranes enable molecules to be sieved out selectively while water molecules traverse the channel in a single file. Imitating this streaming mechanism is a promising way to create artificial liquid-sieving membranes, but ultrathin molecular pores need to be produced in a large membrane format to be functional under high transmembrane pressures. Here we show that a membrane composed of a covalent molecular mesh can filter mixtures of small molecules in a liquid by the porin-like mechanism. Tetrahedral network formers are polymerized layer-by-layer on a nanoporous substrate to yield a thin layer of a covalent molecular network containing an array of molecular meshes grown by a pore-limited mechanism. Each of the meshes exhibits high water permeability, estimated to be greater than 2500 Lm-2 h-1. Glucose or larger molecules are selectively sieved out while the solvent and solutes smaller than glucose traverse the mesh. © 2016 American Chemical Society.
URI
http://hdl.handle.net/20.500.11750/2152
DOI
10.1021/acs.chemmater.6b03884
Publisher
American Chemical Society
Related Researcher
  • Author Jang, Yun Hee CMMM Lab(Curious Minds’ Molecular Modeling Laboratory)
  • Research Interests Multiscale molecular modeling (quantum mechanics calculation; molecular dynamics simulation) : Supercomputer-assisted molecular-level understanding of materials and their chemistry; which leads to rational design of high-performance organic-inorganic-hybrid materials for clean and renewable energy as well as low-energy-consumption electronic devices
Files:
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Collection:
ETC1. Journal Articles


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