journal article·2024-01-30Open access

Leveraging Diffusion Kinetics to Reverse Propane/Propylene Adsorption in Zeolitic Imidazolate Framework-8

Linghe Yang, Ying Liu, Fang Zheng, Fuxing Shen, Baojian Liu, Rajamani Krishna, Zhiguo Zhang, Qiwei Yang, Qilong Ren, Zongbi Bao

ACS Nano· Volume 18· Issue 4

Abstract

The separation challenge posed by propylene/propane mixtures arises from their nearly identical molecular sizes and physicochemical properties. Metal–organic frameworks (MOFs) have demonstrated potential in addressing this challenge through the precision tailoring of pore sizes and surface chemistry. However, introducing modifications at the molecular level remains a considerable hurdle. This work presents an approach to reversibly tune the propylene/propane adsorption preference in zeolitic imidazolate framework-8 (ZIF-8) by manipulating the particle size and gas flow rate. Systematically increasing the ZIF-8 crystals from 9 to 224 μm restricts propane diffusion, thereby reversing its preferential adsorption over propylene. Furthermore, raising the gas flow rate of mixed propylene/propane shifts the rate-determining breakthrough step from thermodynamic equilibrium to kinetics, again reversing the adsorption preference in a particular ZIF-8 sample. We propose “dynamic selectivity ( S d ( t ))” as a concept that incorporates both thermodynamic and kinetic factors to elucidate these unexpected findings. Moreover, the driving force equation, grounded on the concept of S d ( t ), has improved the precision and stability of the computational simulation for fixed-bed adsorption processes. This work underscores the potential of diffusion-based modulation, implemented through manageable external changes, as a viable strategy to optimize separation performance in porous adsorbent materials.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Metal-Organic Frameworks: Synthesis and Applications · Covalent Organic Framework Applications · Zeolite Catalysis and Synthesis

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

Affiliations

Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, P.R. China

Institute of Zhejiang University-Quzhou, Quzhou 324000, P.R. China

Van ‘t Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands

Funding

National Natural Science Foundation of China · Natural Science Foundation of Zhejiang Province

References (58)

Show source-provided references
1. 10.1007/s13203-015-0104-310.1007/s13203-015-0104-3 ↗
2. 10.1134/S207005041503008310.1134/S2070050415030083 ↗
3. 10.1016/j.jece.2021.10567310.1016/j.jece.2021.105673 ↗
4. 10.1007/s10450-007-9101-x10.1007/s10450-007-9101-x ↗
5. 10.1039/b802426j10.1039/b802426j ↗
6. 10.1016/j.micromeso.2011.06.02410.1016/j.micromeso.2011.06.024 ↗
7. Cavalcante C. · Lat. Am. Appl. Res. · 2000 · 30 · 357
8. 10.1021/acs.iecr.8b0306510.1021/acs.iecr.8b03065 ↗
9. 10.1007/s10450-015-9670-z10.1007/s10450-015-9670-z ↗
10. 10.1016/j.cherd.2013.10.00810.1016/j.cherd.2013.10.008 ↗
11. 10.1038/s41560-018-0267-010.1038/s41560-018-0267-0 ↗
12. 10.1038/s41586-019-1798-710.1038/s41586-019-1798-7 ↗
13. 10.1126/science.abe019210.1126/science.abe0192 ↗
14. 10.1126/sciadv.aaz432210.1126/sciadv.aaz4322 ↗
15. 10.1126/science.abj765910.1126/science.abj7659 ↗
16. 10.1126/science.aat058610.1126/science.aat0586 ↗
17. 10.1038/s41467-018-04152-510.1038/s41467-018-04152-5 ↗
18. 10.1038/s41586-021-03627-810.1038/s41586-021-03627-8 ↗
19. 10.1016/j.seppur.2021.11917210.1016/j.seppur.2021.119172 ↗
20. 10.1002/ange.20110753410.1002/ange.201107534 ↗
21. 10.1126/science.121754410.1126/science.1217544 ↗
22. 10.1039/D2TA06783H10.1039/D2TA06783H ↗
23. 10.1021/ie302695510.1021/ie3026955 ↗
24. 10.1016/j.cej.2018.08.10810.1016/j.cej.2018.08.108 ↗
25. 10.1039/B700358G10.1039/B700358G ↗
26. 10.1021/acs.iecr.8b0037710.1021/acs.iecr.8b00377 ↗
27. 10.1016/j.cej.2017.07.04410.1016/j.cej.2017.07.044 ↗
28. 10.1016/j.cej.2018.03.16310.1016/j.cej.2018.03.163 ↗
29. 10.1126/science.aaf632310.1126/science.aaf6323 ↗
30. 10.1002/adma.20180508810.1002/adma.201805088 ↗
31. 10.1039/D2CE00044J10.1039/D2CE00044J ↗
32. 10.1021/acs.accounts.1c0032810.1021/acs.accounts.1c00328 ↗
33. 10.1021/prechem.2c0000310.1021/prechem.2c00003 ↗
34. 10.1016/j.micromeso.2013.09.02610.1016/j.micromeso.2013.09.026 ↗
35. 10.1039/c2cc38512k10.1039/c2cc38512k ↗
36. 10.1021/acs.langmuir.5b0290710.1021/acs.langmuir.5b02907 ↗
37. 10.1016/j.memsci.2010.02.07410.1016/j.memsci.2010.02.074 ↗
38. 10.1016/j.memsci.2010.02.02310.1016/j.memsci.2010.02.023 ↗
39. 10.1016/j.jhazmat.2021.12563910.1016/j.jhazmat.2021.125639 ↗
40. 10.1039/C7TA08268A10.1039/C7TA08268A ↗
41. 10.1016/j.memsci.2010.12.00110.1016/j.memsci.2010.12.001 ↗
42. 10.1016/j.jece.2019.10305810.1016/j.jece.2019.103058 ↗
43. 10.1039/C4CP03298E10.1039/C4CP03298E ↗
44. 10.1016/j.micromeso.2014.04.00910.1016/j.micromeso.2014.04.009 ↗
45. 10.1016/j.memsci.2011.11.02410.1016/j.memsci.2011.11.024 ↗
46. 10.1021/jp401548b10.1021/jp401548b ↗
47. 10.1016/j.seppur.2015.10.03710.1016/j.seppur.2015.10.037 ↗
48. 10.1021/la401471g10.1021/la401471g ↗
49. 10.1007/s10450-005-1091-y10.1007/s10450-005-1091-y ↗
50. 10.1021/la803042z10.1021/la803042z ↗
51. 10.1016/j.cej.2019.04.09410.1016/j.cej.2019.04.094 ↗
52. 10.1002/cite.20130007810.1002/cite.201300078 ↗
53. 10.1021/ja903998310.1021/ja9039983 ↗
54. 10.1021/jz300855a10.1021/jz300855a ↗
55. 10.1016/S0009-2509(96)00458-710.1016/S0009-2509(96)00458-7 ↗
56. 10.1016/j.micromeso.2013.10.02610.1016/j.micromeso.2013.10.026 ↗
57. 10.1021/acsomega.8b0348010.1021/acsomega.8b03480 ↗
58. 10.1016/S1383-5866(03)00008-X10.1016/S1383-5866(03)00008-X ↗