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Prediction of CO 2 Permeance across ZIF-L@PDMS/PES Composite Membrane.

Meor Muhammad Hafiz Shah BuddinAbdul Latif AhmadMuhd Izzudin Fikry Zainuddin
Published in: Membranes (2023)
The current work predicted the permeance of CO 2 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 CO 2 , 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 CO 2 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 CO 2 permeance and the experimental results was found to be minimal.
Keyphrases
  • mass spectrometry
  • machine learning
  • electronic health record
  • liquid chromatography
  • molecularly imprinted
  • simultaneous determination