169
Views
0
CrossRef citations to date
0
Altmetric
Original Article

Estimation of interphase properties of various mixed matrix membranes

&
Pages 825-837 | Received 15 Jul 2018, Accepted 09 Oct 2018, Published online: 16 Oct 2018
 

ABSTRACT

A generalized course of action was proposed for determining the separation properties of the interphase between filler and polymer phases in various mixed matrix membranes (MMMs). Accordingly, the permeability and thickness of the interphase were estimated by using the modified form of effective medium theory (EMT) and CO2, N2 and CH4 permeability data at two different filler loadings obtained from the literature. In spite of the sensitivity of the estimations to experimental inconsistencies in the data used, significant information could generally be obtained about the interphase permeability and thickness. It was observed that the interphase in different types of MMMs could have dissimilar separation properties even when the polymer used was the same. The CO2/CH4 ideal selectivities of the interphase between graphene oxide and polyether block amide (Pebax) polymer and the interphase between zeolite Y and a polyimide polymer, Matrimid, were determined to be higher than the selectivities of the pure polymers. Tailoring the interphase by having good knowledge of its properties, is expected to provide significant means for further improvement of the performances of mixed matrix membranes.

Graphical Abstract

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 574.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.