Development of highly permeable and selective mixed matrix membranes based on Pebax®1657 and NOTT-300 for CO2 capture
Nizami, Abdul Sattar
Akhtar, Faheem Hassan
Ahmad, Nasir M.
Gilani, Mazhar Amjad
Bilad, Muhammad Roil
Khan, Asim Laeeq
KAUST DepartmentWater Desalination and Reuse Research Center (WDRC)
Online Publication Date2019-09-19
Print Publication Date2020-03
Permanent link to this recordhttp://hdl.handle.net/10754/658627
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AbstractMixed matrix membranes (MMMs) are a promising alternative to conventional polymeric membranes but suffer from compatibility issues of polymer and filler. This study reports simultaneous improvement in CO2 permeability and selectivity employing novel metal organic frameworks (MOFs), namely NOTT-300 and Pebax®1657 as polymer matrix. MMMs are characterized and investigated for separation of CO2/CH4 and CO2/N2 gas mixtures at ambient and elevated temperatures. Well-dispersed NOTT-300 particles are observed in SEM images of MMMs with no visible defects even at higher loadings. Single and mixed gas permeation results showed their outstanding performance exhibiting a simultaneous upsurge in CO2 permeability and CO2/CH4 and CO2/N2 selectivity. In comparison to neat Pebax®1657 membrane, the incorporation of NOTT-300 at 40% filler loading enhanced the permeability of CO2 by 380%, and selectivity to 68% and 26% for CO2/CH4 and CO2/N2 respectively. The results proved the potential of NOTT-300 as filler material for MMMs aimed at CO2 capture because of their high porosity and CO2 philic properties.
CitationHabib, N., Shamair, Z., Tara, N., Nizami, A.-S., Akhtar, F. H., Ahmad, N. M., … Khan, A. L. (2020). Development of highly permeable and selective mixed matrix membranes based on Pebax®1657 and NOTT-300 for CO2 capture. Separation and Purification Technology, 234, 116101. doi:10.1016/j.seppur.2019.116101
SponsorsDr. A. L. Khan would like to thank Higher Education Commission (HEC), Pakistan for their grant under NRPU Project # 3514. The authors would also like to thank Dr. Farasat Iqbal (IRCBM, CUI) for their support in morphological analysis of samples through SEM.