We rationalize the unusual gas transport
behavior of polymer-grafted
nanoparticle (GNP) membranes. While gas permeabilities depend specifically
on the chemistry of the polymers considered, we focus here on permeabilities
relative to the corresponding pure polymer, which show interesting,
“universal” behavior. For a given NP radius, R
c, and for large enough areal grafting densities,
σ, to be in the dense brush regime, we find that gas permeability
enhancements display a maximum as a function of the graft chain molecular
weight, M
n. Based on a recently proposed
theory for the structure of a spherical brush in a melt of GNPs, we
conjecture that this peak permeability occurs when the densely grafted
polymer brush has the highest, packing-induced extension free energy
per chain. The corresponding brush thickness is predicted to be h
max = √3R
c, independent of chain chemistry and σ, i.e., at an apparently
universal value of the NP volume fraction (or loading), ϕNP, ϕNP,max = [R
c/(R
c + h
max)]3 ≈ 0.049. Motivated by this conclusion, we measured
CO2 and CH4 permeability enhancements across
a variety of R
c, M
n, and σ and find that they behave in a similar manner
when considered as a function of ϕNP, with a peak
in the near vicinity of the predicted ϕNP,max. Thus,
the chain length-dependent extension free energy appears to be the
critical variable in determining the gas permeability for these hybrid
materials. The emerging picture is that these curved polymer brushes,
at high enough σ, behave akin to a two-layer transport mediumthe
region in the near vicinity of the NP surface is comprised of extended
polymer chains that speed up gas transport relative to the unperturbed
melt. The chain extension free energy increases with increasing chain
length, up to a maximum, and apparently leads to an increasing gas
permeability. For long enough grafts, there is an outer region of
chain segments that is akin to an unperturbed melt with slow gas transport.
The permeability maximum and decreasing permeability with increasing
chain length then follow naturally.