4.8 Article

Selective Gas Permeation in Graphene Oxide-Polymer Self-Assembled Multilayers

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 10, Issue 13, Pages 11242-11250

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.8b01103

Keywords

graphene; gas separation; coatings; polymer materials; composite materials; nanomaterials; functional surfaces; membranes

Funding

  1. CIRI-MAM Advanced Applications in Mechanical Engineering and Materials Technology Interdepartmental Center for Industrial Research (Alma Mater Studiorum-Universita di Bologna)
  2. European Union [696656]

Ask authors/readers for more resources

The performance of polymer-based membranes for gas separation is currently limited by the Robeson limit, stating that it is impossible to have high gas permeability and high gas selectivity at the same time. We describe the production of membranes based on the ability of graphene oxide (GO) and poly(ethyleneimine) (PEI) multilayers to overcome such a limit. The PEI chains act as molecular spacers in between the GO sheets, yielding a highly reproducible, periodic multilayered structure with a constant spacing of 3.7 nm, giving a record combination of gas permeability and selectivity. The membranes feature a remarkable gas selectivity (up to 500 for He/CO2), allowing to overcome the Robeson limit. The permeability of these membranes to different gases depends exponentially on the diameter of the gas molecule, with a sieving mechanism never obtained in pure GO membranes, in which a size cutoff and a complex dependence on the chemical nature of the permeant is typically observed. The tunable permeability, the high selectivity, and the possibility to produce coatings on a wide range of polymers represent a new approach to produce gas separation membranes for large-scale applications.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available