Prediction of CO2 Permeance across ZIF-L@PDMS/PES Composite Membrane

Meor Muhammad Hafiz Shah Buddin; Abdul Latif Ahmad; Muhd Izzudin Fikry Zainuddin

doi:10.3390/membranes13020134

Prediction of CO₂ Permeance across ZIF-L@PDMS/PES Composite Membrane

Membranes (Basel). 2023 Jan 19;13(2):134. doi: 10.3390/membranes13020134.

Authors

Meor Muhammad Hafiz Shah Buddin^{1

2}, Abdul Latif Ahmad¹, Muhd Izzudin Fikry Zainuddin¹

Affiliations

¹ School of Chemical Engineering, Universiti Sains Malaysia Engineering Campus, Nibong Tebal 14300, Malaysia.
² School of Chemical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam 40450, Malaysia.

Abstract

The current work predicted the permeance of CO₂ across a ZIF-L@PDMS/PES composite membrane using two different models. The membrane was fabricated by dipping a PES hollow fiber membrane in a coating solution made using PDMS that contained ZIF-L. First, flat sheet ZIF-L@PDMS membranes were fabricated to verify the role of ZIF-L on the gas separation performance of the membrane. Based on the data, the presence of ZIF-L in the PDMS matrix allowed enhancement of both permeability and selectivity of CO₂, where the maximum value was obtained at 1 wt% of ZIF-L. The performance of ZIF-L@PDMS layer, as a function of ZIF-L loading, was well-predicted by the Cussler model. Such information was then used to model the CO₂ permeance across ZIF-L@PDMS/PES composite membrane via the correction factor, which was introduced in the resistance in series model. This work discovered that the model must consider the penetration depth and the inorganic loading (in the case of ZIF-L@PDMS/PES). The error between the predicted CO₂ permeance and the experimental results was found to be minimal.

Keywords: composite membrane; gas separation; metal-organic frameworks; polymeric membrane.

Grants and funding

This research was funded by Ministry of Higher Education Malaysia under the Fundamental Research Grant Scheme, FRGS/1/2020/TK0/USM/01/4, 203.PJKIMIA.6071484 and The APC was funded by Universiti Sains Malaysia.