journal article·2022-04-27

Porous Liquids: Computational Design for Targeted Gas Adsorption

Jessica M. Rimsza, Tina M. Nenoff

ACS Applied Materials & Interfaces· Volume 14· Issue 16
Publisher page

Abstract

In this Perspective, we present the unique gas adsorption capabilities of porous liquids (PLs) and the value of complex computational methods in the design of PL compositions. Traditionally, liquids only contain transient pore space between molecules that limit long-term gas capture. However, PLs are stable fluids that that contain permanent porosity due to the combination of a rigid porous host structure and a solvent. PLs exhibit remarkable adsorption and separation properties, including increased solubility and selectivity. The unique gas adsorption properties of PLs are based on their structure, which exhibits multiple gas binding sites in the pore and on the cage surface, varying binding mechanisms including hydrogen-bonding and π-π interactions, and selective diffusion in the solvent. Tunable PL compositions will require fundamental investigations of competitive gas binding mechanisms, thermal effects on binding site stability, and the role of nanoconfinement on gas and solvent diffusion that can be accelerated through molecular modeling. With these new insights PLs promise to be an exceptional material class with tunable properties for targeted gas adsorption.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Carbon Dioxide Capture Technologies · Membrane Separation and Gas Transport · Heat and Mass Transfer in Porous Media

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

Affiliations

Geochemistry Department, Sandia National Laboratories, Albuquerque 87185-5820, New Mexico, United States

Material, Physical, and Chemical Sciences, Sandia National Laboratories, Albuquerque 87185-5820, New Mexico, United States

Funding

Basic Energy Sciences · Sandia National Laboratories

References (97)

Show source-provided references
1. 10.1146/annurev-chembioeng-061010-11425210.1146/annurev-chembioeng-061010-114252 ↗
2. 10.1016/j.jclepro.2014.10.05010.1016/j.jclepro.2014.10.050 ↗
3. 10.1039/b802426j10.1039/b802426j ↗
4. 10.1016/j.memsci.2015.10.04910.1016/j.memsci.2015.10.049 ↗
5. 10.1038/natrevmats.2016.5310.1038/natrevmats.2016.53 ↗
6. 10.1002/cssc.20090003610.1002/cssc.200900036 ↗
7. 10.1155/2013/47358410.1155/2013/473584 ↗
8. 10.1016/j.rser.2015.04.12410.1016/j.rser.2015.04.124 ↗
9. 10.1021/acs.chemrev.6b0066210.1021/acs.chemrev.6b00662 ↗
10. 10.1021/acssuschemeng.0c0380010.1021/acssuschemeng.0c03800 ↗
11. 10.1016/j.pecs.2020.10084910.1016/j.pecs.2020.100849 ↗
12. 10.1016/j.jcou.2020.10125110.1016/j.jcou.2020.101251 ↗
13. 10.1002/slct.20200395710.1002/slct.202003957 ↗
14. 10.1002/adfm.20210416210.1002/adfm.202104162 ↗
15. 10.1038/nature1607210.1038/nature16072 ↗
16. 10.1016/j.ccr.2019.01.01510.1016/j.ccr.2019.01.015 ↗
17. 10.1016/j.chempr.2020.11.00510.1016/j.chempr.2020.11.005 ↗
18. 10.1016/j.crgsc.2021.10007010.1016/j.crgsc.2021.100070 ↗
19. 10.1002/ange.20140942010.1002/ange.201409420 ↗
20. 10.1002/adma.20150560710.1002/adma.201505607 ↗
21. 10.1002/chem.20070009010.1002/chem.200700090 ↗
22. 10.1021/acsami.7b1587310.1021/acsami.7b15873 ↗
23. 10.1039/C9SC05770F10.1039/C9SC05770F ↗
24. 10.1002/cphc.20170084210.1002/cphc.201700842 ↗
25. 10.1002/ange.20191206810.1002/ange.201912068 ↗
26. 10.1021/acs.iecr.9b0157910.1021/acs.iecr.9b01579 ↗
27. 10.1038/s41563-021-00957-w10.1038/s41563-021-00957-w ↗
28. 10.1039/C6SC05196K10.1039/C6SC05196K ↗
29. 10.1039/C9SC03316E10.1039/C9SC03316E ↗
30. 10.1039/D0RA08039J10.1039/D0RA08039J ↗
31. 10.1002/admi.20200198210.1002/admi.202001982 ↗
32. 10.1016/j.fuel.2021.12101310.1016/j.fuel.2021.121013 ↗
33. 10.1002/anie.20210009010.1002/anie.202100090 ↗
34. 10.1039/C9CC07243H10.1039/C9CC07243H ↗
35. 10.1063/1.220495910.1063/1.2204959 ↗
36. 10.1016/j.gce.2021.09.00310.1016/j.gce.2021.09.003 ↗
37. 10.1002/ange.20180549510.1002/ange.201805495 ↗
38. 10.1016/j.chempr.2021.08.02210.1016/j.chempr.2021.08.022 ↗
39. 10.1016/S0010-8545(01)00317-410.1016/S0010-8545(01)00317-4 ↗
40. 10.1021/acscentsci.7b0014510.1021/acscentsci.7b00145 ↗
41. 10.1039/C8SC03560A10.1039/C8SC03560A ↗
42. 10.1038/s41467-020-17755-810.1038/s41467-020-17755-8 ↗
43. Baerlocher, C.; McCusker, L., Database of Zeolite Structures, 2008. http://www.iza-structure.org/databases 2019.
44. 10.1021/ie300370510.1021/ie3003705 ↗
45. 10.1021/acs.chemrev.0c0000410.1021/acs.chemrev.0c00004 ↗
46. 10.1002/cplu.20200044510.1002/cplu.202000445 ↗
47. 10.1039/C9ME00085B10.1039/C9ME00085B ↗
48. 10.1039/C8SC03560A10.1039/C8SC03560A ↗
49. 10.1038/s41467-018-05271-910.1038/s41467-018-05271-9 ↗
50. 10.1039/C7CS00084G10.1039/C7CS00084G ↗
51. 10.1021/acs.chemmater.8b0357210.1021/acs.chemmater.8b03572 ↗
52. 10.1002/jcc.2537710.1002/jcc.25377 ↗
53. 10.1021/acs.jcim.0c0051910.1021/acs.jcim.0c00519 ↗
54. 10.1021/acsami.0c1904410.1021/acsami.0c19044 ↗
55. 10.1016/j.molliq.2021.11767610.1016/j.molliq.2021.117676 ↗
56. 10.1021/acs.jpcb.6b0478410.1021/acs.jpcb.6b04784 ↗
57. 10.1016/j.jmgm.2020.10769410.1016/j.jmgm.2020.107694 ↗
58. 10.1016/j.jmgm.2020.10778810.1016/j.jmgm.2020.107788 ↗
59. 10.1021/ja077233b10.1021/ja077233b ↗
60. 10.1021/jp503293j10.1021/jp503293j ↗
61. 10.1039/C5CP04283F10.1039/C5CP04283F ↗
62. 10.1038/nchem.155010.1038/nchem.1550 ↗
63. 10.1038/nmat403510.1038/nmat4035 ↗
64. 10.1002/ange.20191403710.1002/ange.201914037 ↗
65. 10.1021/acs.jpcc.7b0126010.1021/acs.jpcc.7b01260 ↗
66. 10.1016/j.ces.2018.02.02210.1016/j.ces.2018.02.022 ↗
67. 10.1016/j.micromeso.2021.11155910.1016/j.micromeso.2021.111559 ↗
68. 10.1038/ncomms614710.1038/ncomms6147 ↗
69. 10.1021/acs.langmuir.0c0327610.1021/acs.langmuir.0c03276 ↗
70. 10.1073/pnas.110876510910.1073/pnas.1108765109 ↗
71. 10.3389/fceng.2021.66886710.3389/fceng.2021.668867 ↗
72. 10.1021/acs.jpcc.1c0692410.1021/acs.jpcc.1c06924 ↗
73. 10.1016/j.molliq.2021.11566010.1016/j.molliq.2021.115660 ↗
74. 10.1016/j.apsusc.2020.14795110.1016/j.apsusc.2020.147951 ↗
75. 10.1073/pnas.050019310210.1073/pnas.0500193102 ↗
76. 10.1039/C6CP00768F10.1039/C6CP00768F ↗
77. 10.1039/C9TA08283B10.1039/C9TA08283B ↗
78. 10.1002/ange.20210295610.1002/ange.202102956 ↗
79. 10.1021/acsomega.1c0704110.1021/acsomega.1c07041 ↗
80. 10.1016/j.ijheatmasstransfer.2021.12205810.1016/j.ijheatmasstransfer.2021.122058 ↗
81. 10.1021/ja962176010.1021/ja9621760 ↗
82. 10.1021/jp980939v10.1021/jp980939v ↗
83. 10.1021/jp905220k10.1021/jp905220k ↗
84. 10.1021/jp036213310.1021/jp0362133 ↗
85. 10.1021/jp051771y10.1021/jp051771y ↗
86. 10.1021/jp305129w10.1021/jp305129w ↗
87. 10.1021/acs.jpcc.9b0898310.1021/acs.jpcc.9b08983 ↗
88. 10.1038/s41529-018-0039-010.1038/s41529-018-0039-0 ↗
89. 10.1021/acs.jpcc.0c1131810.1021/acs.jpcc.0c11318 ↗
90. Park, S.; Moilanen, D. E.; Fayer, M. D. Water Dynamics the Effects of Ions and Nanoconfinement; ACS Publications, 2008; Vol. 112, pp 5279–5290.10.1021/jp7121856 ↗
91. 10.1039/D0NR06961B10.1039/D0NR06961B ↗
92. 10.1140/epje/i2017-11507-710.1140/epje/i2017-11507-7 ↗
93. 10.1021/jp061593o10.1021/jp061593o ↗
94. 10.1063/1.303597810.1063/1.3035978 ↗
95. 10.1080/1062936X.2018.153903510.1080/1062936X.2018.1539035 ↗
96. 10.1088/0953-8984/16/10/R0210.1088/0953-8984/16/10/R02 ↗
97. 10.3390/computation403002510.3390/computation4030025 ↗