Tuning Selectivities in Gas Separation Membranes Based on Polymer-Grafted Nanoparticles.

Journal Article (Journal Article)

Polymer membranes are critical to many sustainability applications that require the size-based separation of gas mixtures. Despite their ubiquity, there is a continuing need to selectively affect the transport of different mixture components while enhancing mechanical strength and hindering aging. Polymer-grafted nanoparticles (GNPs) have recently been explored in the context of gas separations. Membranes made from pure GNPs have higher gas permeability and lower selectivity relative to the neat polymer because they have increased mean free volume. Going beyond this ability to manipulate the mean free volume by grafting chains to a nanoparticle, the conceptual advance of the present work is our finding that GNPs are spatially heterogeneous transport media, with this free volume distribution being easily manipulated by the addition of free polymer. In particular, adding a small amount of appropriately chosen free polymer can increase the membrane gas selectivity by up to two orders of magnitude while only moderately reducing small gas permeability. Added short free chains, which are homogeneously distributed in the polymer layer of the GNP, reduce the permeability of all gases but yield no dramatic increases in selectivity. In contrast, free chains with length comparable to the grafts, which populate the interstitial pockets between GNPs, preferentially hinder the transport of the larger gas and thus result in large selectivity increases. This work thus establishes that we can favorably manipulate the selective gas transport properties of GNP membranes through the entropic effects associated with the addition of free chains.

Full Text

Duke Authors

Cited Authors

  • Bilchak, CR; Jhalaria, M; Huang, Y; Abbas, Z; Midya, J; Benedetti, FM; Parisi, D; Egger, W; Dickmann, M; Minelli, M; Doghieri, F; Nikoubashman, A; Durning, CJ; Vlassopoulos, D; Jestin, J; Smith, ZP; Benicewicz, BC; Rubinstein, M; Leibler, L; Kumar, SK

Published Date

  • November 20, 2020

Published In

PubMed ID

  • 33216546

Electronic International Standard Serial Number (EISSN)

  • 1936-086X

International Standard Serial Number (ISSN)

  • 1936-0851

Digital Object Identifier (DOI)

  • 10.1021/acsnano.0c07049

Language

  • eng