Effects of Ionic Liquid Nanoconfinement on the CO2/CH4 Separation in Poly(vinylidene fluoride)/1-Ethyl-3-methylimidazolium Thiocyanate Membranes
Source abstract
Abstract
A combined experimental and molecular dynamics (MD) simulation approach was used to investigate the effects of the nanoconfinement of a highly CO2/CH4-selective ionic liquid (IL), 1-ethyl-3-methylimidazolium thiocyanate ([EMIM][SCN]), in porous poly(vinylidene fluoride) (PVDF) matrices on the gas separation performance of the resulting membranes. The observed experimental CO2/CH4 permselectivity increased by about 46% when the nominal pore diameter in PVDF, which is a measure of nanoconfinement, decreased from 450 to 100 nm, thus demonstrating nanoconfinement improvements of gas separation. MD simulations corroborated these experimental observations and indicated a suppression in the sorption of CH4 by [EMIM][SCN] when the IL nanoconfinement length decreased within the nonpolar PVDF surfaces. This is consistent with the experimental observation that the CH4 permeance through the IL confined in nonpolar PVDF is significantly less than the CH4 permeance through the IL confined in a water-wetting polar formulation of PVDF. The potential of mean force calculations further indicated that CO2 has more affinity to the nonpolar PVDF surface than CH4. Also, a charge/density distribution analysis of the IL in the PVDF-confined region revealed a layering of the IL into [EMIM]- and [SCN]-rich regions, where CH4 was preferentially distributed in the former and CO2 in the latter. These molecular insights into the nanoconfinement-driven mechanisms in polymer/IL membranes provide a framework for a better molecular design of such membranes for critical gas separation and CO2 capture applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Ionic liquids properties and applications · Membrane Separation and Gas Transport · CO2 Reduction Techniques and Catalysts
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Forest Biomaterials, North Carolina State University, Raleigh, North Carolina 27695, United States
Department of Chemical Engineering, University of Mississippi, Oxford, Mississippi 38677, United States
Funding
National Science Foundation
References (69)
Show source-provided references
1. 10.1016/j.chroma.2017.09.04410.1016/j.chroma.2017.09.044 ↗
2. 10.1016/j.progpolymsci.2011.05.00710.1016/j.progpolymsci.2011.05.007 ↗
3. 10.1016/j.memsci.2010.11.07510.1016/j.memsci.2010.11.075 ↗
4. 10.1021/acs.chemrev.6b0050910.1021/acs.chemrev.6b00509 ↗
5. 10.1021/jp807960610.1021/jp8079606 ↗
6. 10.1021/ja904283d10.1021/ja904283d ↗
7. 10.1039/c2cp23929a10.1039/c2cp23929a ↗
8. 10.1016/j.micromeso.2014.04.02610.1016/j.micromeso.2014.04.026 ↗
9. 10.1021/jp408142a10.1021/jp408142a ↗
10. 10.1039/C6RA00579A10.1039/C6RA00579A ↗
11. 10.1002/chem.20050101510.1002/chem.200501015 ↗
12. 10.1039/b920556j10.1039/b920556j ↗
13. 10.1021/ie202841510.1021/ie2028415 ↗
14. 10.1021/la400226g10.1021/la400226g ↗
15. 10.1002/chem.20130429110.1002/chem.201304291 ↗
16. 10.1016/j.micromeso.2014.12.00510.1016/j.micromeso.2014.12.005 ↗
17. 10.1021/acs.jpcc.5b0464610.1021/acs.jpcc.5b04646 ↗
18. 10.1021/ie801165u10.1021/ie801165u ↗
19. 10.1021/ef502228510.1021/ef5022285 ↗
20. 10.1021/jp105853410.1021/jp1058534 ↗
21. 10.1021/jp106500p10.1021/jp106500p ↗
22. 10.1021/jp201447g10.1021/jp201447g ↗
23. 10.1021/jp304161710.1021/jp3041617 ↗
24. 10.1021/jp212440f10.1021/jp212440f ↗
25. 10.1021/jp408617j10.1021/jp408617j ↗
26. 10.1021/ef302038e10.1021/ef302038e ↗
27. 10.1021/jz200411a10.1021/jz200411a ↗
28. 10.1021/acs.jpcc.9b0551010.1021/acs.jpcc.9b05510 ↗
29. 10.1039/D0NR06961B10.1039/D0NR06961B ↗
30. 10.1002/aic.1400910.1002/aic.14009 ↗
31. 10.1016/j.pmatsci.2014.03.00110.1016/j.pmatsci.2014.03.001 ↗
32. 10.1002/aenm.20170088310.1002/aenm.201700883 ↗
33. 10.1016/j.molliq.2018.06.08110.1016/j.molliq.2018.06.081 ↗
34. 10.1021/ma202741g10.1021/ma202741g ↗
35. 10.1021/acs.macromol.5b0088210.1021/acs.macromol.5b00882 ↗
36. 10.1002/anie.20150550810.1002/anie.201505508 ↗
37. 10.1016/j.memsci.2011.11.03710.1016/j.memsci.2011.11.037 ↗
38. 10.1016/j.memsci.2008.10.05610.1016/j.memsci.2008.10.056 ↗
39. 10.1021/acsami.7b1576210.1021/acsami.7b15762 ↗
40. 10.1021/acs.jpcc.0c0015610.1021/acs.jpcc.0c00156 ↗
41. 10.1016/j.memsci.2019.11722810.1016/j.memsci.2019.117228 ↗
42. 10.1021/jp312404k10.1021/jp312404k ↗
43. 10.1016/j.memsci.2015.07.05410.1016/j.memsci.2015.07.054 ↗
44. 10.1039/b920393a10.1039/b920393a ↗
45. 10.1021/acs.nanolett.0c0299910.1021/acs.nanolett.0c02999 ↗
46. 10.1039/c2cp23814d10.1039/c2cp23814d ↗
47. 10.1016/j.fluid.2014.01.04210.1016/j.fluid.2014.01.042 ↗
48. 10.1002/cphc.20160097710.1002/cphc.201600977 ↗
49. 10.1021/acs.jpcb.7b1213710.1021/acs.jpcb.7b12137 ↗
50. 10.1016/j.seppur.2017.08.03210.1016/j.seppur.2017.08.032 ↗
51. 10.1021/ma102438k10.1021/ma102438k ↗
52. 10.1039/c1ee01599k10.1039/c1ee01599k ↗
53. 10.1351/pac20007212227510.1351/pac200072122275 ↗
54. 10.1021/ie048825v10.1021/ie048825v ↗
55. 10.1016/j.ces.2018.04.00610.1016/j.ces.2018.04.006 ↗
56. 10.1021/ja00086a03010.1021/ja00086a030 ↗
57. 10.1006/jcph.1995.103910.1006/jcph.1995.1039 ↗
58. 10.1039/C2CP42837G10.1039/C2CP42837G ↗
59. 10.1103/RevModPhys.64.104510.1103/RevModPhys.64.1045 ↗
60. Hockney R. W. · 198810.1887/0852743920 ↗
61. 10.1016/j.jct.2013.11.00510.1016/j.jct.2013.11.005 ↗
62. 10.1021/acs.iecr.9b0547510.1021/acs.iecr.9b05475 ↗
63. 10.1016/j.gee.2016.11.00410.1016/j.gee.2016.11.004 ↗
64. Frenkel, D.; Smit, B. Understanding Molecular Simulation: From Algorithms to Applications, 2nd ed. Academic Press, 2002; pp 88–89.
65. 10.1088/2053-1591/aa546510.1088/2053-1591/aa5465 ↗
66. 10.1021/acs.jpcc.7b0372810.1021/acs.jpcc.7b03728 ↗
67. 10.1021/ja106428410.1021/ja1064284 ↗
68. 10.1080/23746149.2020.173694910.1080/23746149.2020.1736949 ↗
69. 10.1016/j.cplett.2014.11.00810.1016/j.cplett.2014.11.008 ↗