Prediction of CO2 Permeance across ZIF-L@PDMS/PES Composite Membrane
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...
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2023
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2-s2.0-85149128606 Buddin M.M.H.S.; Ahmad A.L.; Zainuddin M.I.F. Prediction of CO2 Permeance across ZIF-L@PDMS/PES Composite Membrane 2023 Membranes 13 2 10.3390/membranes13020134 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149128606&doi=10.3390%2fmembranes13020134&partnerID=40&md5=f560053672e5ae1eeb77012f1e746b90 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. © 2023 by the authors. MDPI 20770375 English Article All Open Access; Gold Open Access; Green Open Access |
author |
Buddin M.M.H.S.; Ahmad A.L.; Zainuddin M.I.F. |
spellingShingle |
Buddin M.M.H.S.; Ahmad A.L.; Zainuddin M.I.F. Prediction of CO2 Permeance across ZIF-L@PDMS/PES Composite Membrane |
author_facet |
Buddin M.M.H.S.; Ahmad A.L.; Zainuddin M.I.F. |
author_sort |
Buddin M.M.H.S.; Ahmad A.L.; Zainuddin M.I.F. |
title |
Prediction of CO2 Permeance across ZIF-L@PDMS/PES Composite Membrane |
title_short |
Prediction of CO2 Permeance across ZIF-L@PDMS/PES Composite Membrane |
title_full |
Prediction of CO2 Permeance across ZIF-L@PDMS/PES Composite Membrane |
title_fullStr |
Prediction of CO2 Permeance across ZIF-L@PDMS/PES Composite Membrane |
title_full_unstemmed |
Prediction of CO2 Permeance across ZIF-L@PDMS/PES Composite Membrane |
title_sort |
Prediction of CO2 Permeance across ZIF-L@PDMS/PES Composite Membrane |
publishDate |
2023 |
container_title |
Membranes |
container_volume |
13 |
container_issue |
2 |
doi_str_mv |
10.3390/membranes13020134 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149128606&doi=10.3390%2fmembranes13020134&partnerID=40&md5=f560053672e5ae1eeb77012f1e746b90 |
description |
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. © 2023 by the authors. |
publisher |
MDPI |
issn |
20770375 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access; Green Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677583900475392 |