journal article·2024-10-09

Elucidating the Molecular Mechanisms by which Porous Polymer Networks Affect Structure, Aging Propensity, and Selectivity of Microporous Glassy Polymer Membranes using a Multiscale Approach

Lucas C. Condes, Matthew T. Webb, Tran T. B. Le, William J. Box, Cara M. Doherty, Aditi Gali, Leoncio Garrido, Jing Deng, Laura Matesanz-Niño, Angel E. Lozano, Cristina Alvarez, Marco Buongiorno Nardelli, Alberto Striolo, Anita J. Hill, Michele Galizia

ACS Applied Materials & Interfaces· Volume 16· Issue 40
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Abstract

Microporous glassy polymer membranes suffer from physical aging, which adversely affects their performance in the short time frame. We show that the aging propensity of a model microporous polymer, poly(1-trimethylsilyl-1-propyne) (PTMSP), can be effectively mitigated by blending with as little as 5 wt % porous polymer network (PPN) composed of triptycene and isatin. The aging behavior of these materials was monitored via N 2 pure gas permeability measurements over the course of 3 weeks, showing a 14% decline in PTMSP blended with 5 wt % PPN vs a 41% decline in neat PTMSP. Noteworthy, PPNs are 2 orders of magnitude cheaper than the porous aromatic frameworks previously used to control PTMSP aging. A variety of experimental and computational techniques, such as Positron Annihilation Lifetime Spectroscopy (PALS), free volume measurements, cross-polarization/magic angle spinning (CP/MAS) 13 C NMR, transport measurements and molecular dynamics (MD) simulations were used to uncover the molecular mechanisms leading to enhanced aging resistance. We show that partial PTMSP chain adsorption into the PPN porosity reduces the PTMSP local segmental mobility, leading to improved aging resistance. Permeability coefficients were broken into their elementary sorption and diffusion contributions, to elucidate the mechanism by which the reduced PTMSP local segmental mobility affects selectivity in gas separation applications. Finally, we demonstrate that in these systems, where both chemical and physical interactions take place, transport coefficients must be corrected for thermodynamic nonidealities to avoid erroneous interpretation of the results.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Membrane Separation and Gas Transport · Covalent Organic Framework Applications · Membrane Separation Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Sustainable Chemical, Biological and Materials Engineering, University of Oklahoma, 100 E. Boyd Street, Norman 73019 Oklahoma, United States

CSIRO Manufacturing, Research Way, 3168 Clayton, Australia

Instituto de Ciencia y Tecnología de Polímeros, ICTP-CSIC, Juan de la Cierva 3, E-28006 Madrid, Spain

University of Valladolid, UI CINQUIMA, Paseo Belén 5, E-47011 Valladolid, Spain

SMAP, UA-UVA, CSIC, Research Unit Associated to CSIC, Faculty of Science, University of Valladolid, Paseo Belén 11, E-47011 Valladolid, Spain

Department of Physics, University of North Texas, 1155 Union Circle, Denton 76203, Texas, United States

Funding

Basic Energy Sciences · University of Oklahoma · National Science Foundation

References (62)

Show source-provided references
1. Intergovernmental Panel On Climate Change. Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press2023.10.1017/9781009157896 ↗
2. 10.1038/s41586-023-06083-810.1038/s41586-023-06083-8 ↗
3. 10.1038/532435a10.1038/532435a ↗
4. 10.1016/j.polymer.2021.12398810.1016/j.polymer.2021.123988 ↗
5. 10.1016/j.polymer.2020.12317610.1016/j.polymer.2020.123176 ↗
6. 10.1016/j.memsci.2008.04.03010.1016/j.memsci.2008.04.030 ↗
7. 10.1021/acs.macromol.7b0171810.1021/acs.macromol.7b01718 ↗
8. 10.1016/j.memsci.2014.11.05810.1016/j.memsci.2014.11.058 ↗
9. 10.1016/j.polymer.2004.10.01910.1016/j.polymer.2004.10.019 ↗
10. 10.1016/0079-6700(94)00001-I10.1016/0079-6700(94)00001-I ↗
11. 10.1126/science.267.5206.194510.1126/science.267.5206.1945 ↗
12. 10.1039/C9ME00099B10.1039/C9ME00099B ↗
13. 10.1016/j.polymer.2009.09.03710.1016/j.polymer.2009.09.037 ↗
14. 10.1002/(SICI)1099-0488(19990815)37:16<2239::AID-POLB26>3.0.CO;2-810.1002/(SICI)1099-0488(19990815)37:16<2239::AID-POLB26>3.0.CO;2-8 ↗
15. 10.1021/acs.iecr.1c0266010.1021/acs.iecr.1c02660 ↗
16. 10.1016/j.memsci.2022.12060810.1016/j.memsci.2022.120608 ↗
17. 10.1021/acs.chemmater.8b0210210.1021/acs.chemmater.8b02102 ↗
18. 10.1039/C4TA02303J10.1039/C4TA02303J ↗
19. 10.1021/acs.iecr.7b0054010.1021/acs.iecr.7b00540 ↗
20. 10.1016/j.memsci.2016.09.01310.1016/j.memsci.2016.09.013 ↗
21. 10.1016/j.coche.2021.10075510.1016/j.coche.2021.100755 ↗
22. 10.1039/C9EE01384A10.1039/C9EE01384A ↗
23. 10.1016/j.memsci.2019.11775910.1016/j.memsci.2019.117759 ↗
24. 10.1073/pnas.202220411810.1073/pnas.2022204118 ↗
25. 10.1002/anie.20140223410.1002/anie.201402234 ↗
26. 10.1002/anie.20090463710.1002/anie.200904637 ↗
27. 10.1021/ma501488s10.1021/ma501488s ↗
28. 10.1021/acsami.8b0585410.1021/acsami.8b05854 ↗
29. 10.1021/acs.iecr.9b0140210.1021/acs.iecr.9b01402 ↗
30. 10.1021/acsapm.1c0101210.1021/acsapm.1c01012 ↗
31. 10.1016/j.jiec.2012.09.01910.1016/j.jiec.2012.09.019 ↗
32. 10.1016/j.polymer.2014.09.02210.1016/j.polymer.2014.09.022 ↗
33. 10.1021/acsami.5b1135510.1021/acsami.5b11355 ↗
34. 10.1016/j.memsci.2021.11952610.1016/j.memsci.2021.119526 ↗
35. 10.1002/app.1099810.1002/app.10998 ↗
36. 10.1016/j.memsci.2023.12184110.1016/j.memsci.2023.121841 ↗
37. 10.1021/jp004182v10.1021/jp004182v ↗
38. 10.1063/1.167706710.1063/1.1677067 ↗
39. 10.1002/polb.2361610.1002/polb.23616 ↗
40. 10.1021/jp062233410.1021/jp0622334 ↗
41. 10.1021/cm071722t10.1021/cm071722t ↗
42. 10.1002/app.1993.07048110710.1002/app.1993.070481107 ↗
43. 10.1002/(SICI)1099-0488(19960130)34:2<357::AID-POLB17>3.0.CO;2-I10.1002/(SICI)1099-0488(19960130)34:2<357::AID-POLB17>3.0.CO;2-I ↗
44. 10.1002/pen.76017030510.1002/pen.760170305 ↗
45. 10.1016/S0079-6700(01)00008-910.1016/S0079-6700(01)00008-9 ↗
46. 10.1021/ma060047q10.1021/ma060047q ↗
47. 10.1021/ma60059a05310.1021/ma60059a053 ↗
48. 10.3390/nano1012242410.3390/nano10122424 ↗
49. 10.1295/polymj.28.93310.1295/polymj.28.933 ↗
50. 10.1016/j.polymer.2023.12655510.1016/j.polymer.2023.126555 ↗
51. 10.1016/j.memsci.2004.06.00710.1016/j.memsci.2004.06.007 ↗
52. Nakagawa T. · 1999 · 733 · 6810.1021/bk-1999-0733.ch005 ↗
53. 10.1021/acs.macromol.8b0210710.1021/acs.macromol.8b02107 ↗
54. 10.1007/BF0273133310.1007/BF02731333 ↗
55. 10.1021/ma034156610.1021/ma0341566 ↗
56. 10.1021/ma048032k10.1021/ma048032k ↗
58. 10.1016/j.memsci.2022.12112510.1016/j.memsci.2022.121125 ↗
59. 10.1016/j.memsci.2018.12.05410.1016/j.memsci.2018.12.054 ↗
60. 10.1016/j.memsci.2019.03.03110.1016/j.memsci.2019.03.031 ↗
61. 10.1016/j.memsci.2020.11802010.1016/j.memsci.2020.118020 ↗
62. 10.1002/(SICI)1099-0488(20000115)38:2<273::AID-POLB1>3.0.CO;2-X10.1002/(SICI)1099-0488(20000115)38:2<273::AID-POLB1>3.0.CO;2-X ↗