Selectivity Separation of Ortho-Chlorotoluene Using Nonporous Adaptive Crystals of Hybrid[3]arene
Source abstract
Abstract
Ortho -chlorotoluene serves as a vital raw material in the petrochemical industries. However, due to alkylation and chlorination, ortho -chlorotoluene is often mixed with meta -chlorotoluene and para -chlorotoluene. The selective separation of ortho -chlorotoluene from chlorotoluene isomers is a crucial step in industrial production. However, owing to the close boiling points of chlorotoluene isomers, traditional separation methods demand a large amount of energy. Therefore, there is an urgent need to develop new methods to achieve the efficient separation of chlorotoluene isomers. Herein, we developed an adsorptive separation strategy to achieve the separation of ortho -chlorotoluene using nonporous adaptive crystals of hybrid[3]arene H ( Hα ). Hα was proved to be highly effective in the separation of ortho -chlorotoluene from the binary or ternary mixture of chlorotoluene isomers. Single-crystal structure analysis and electrostatic potential maps indicated that the selectivity was derived from the stable host–guest structure between ortho -chlorotoluene and H . Besides, Hα exhibited high recyclability due to the reversible transformation between guest-free and guest-contained structures.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Metal-Organic Frameworks: Synthesis and Applications · Supramolecular Chemistry and Complexes · Covalent Organic Framework Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, P. R. China
Funding
State Key Laboratory of Heavy Oil Processing · Northeastern University · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China
References (63)
Show source-provided references
1. 10.1021/acscatal.1c0584510.1021/acscatal.1c05845 ↗
2. 10.1016/j.cej.2013.10.09410.1016/j.cej.2013.10.094 ↗
3. 10.1016/j.apcata.2020.11749610.1016/j.apcata.2020.117496 ↗
4. 10.1039/b804823a10.1039/b804823a ↗
5. 10.1021/acs.chemrev.0c0056410.1021/acs.chemrev.0c00564 ↗
6. 10.1126/science.aao592310.1126/science.aao5923 ↗
7. 10.1016/j.apcatb.2003.11.00410.1016/j.apcatb.2003.11.004 ↗
8. 10.1016/j.seppur.2017.09.00810.1016/j.seppur.2017.09.008 ↗
9. 10.1038/532435a10.1038/532435a ↗
10. 10.1126/science.aad108410.1126/science.aad1084 ↗
11. 10.1038/d41586-022-04467-w10.1038/d41586-022-04467-w ↗
12. 10.1016/j.energy.2012.12.01110.1016/j.energy.2012.12.011 ↗
13. 10.1021/acs.accounts.6b0050010.1021/acs.accounts.6b00500 ↗
14. 10.1002/adma.20210740110.1002/adma.202107401 ↗
15. 10.1021/acs.chemrev.2c0066710.1021/acs.chemrev.2c00667 ↗
16. 10.1039/C5CS00508F10.1039/C5CS00508F ↗
17. 10.1039/C6CS00528D10.1039/C6CS00528D ↗
18. 10.1039/C6CS90043G10.1039/C6CS90043G ↗
19. 10.1126/science.aaf245810.1126/science.aaf2458 ↗
20. 10.1002/adfm.20210133510.1002/adfm.202101335 ↗
21. 10.1002/adma.20110046210.1002/adma.201100462 ↗
22. 10.1039/C8CS00155C10.1039/C8CS00155C ↗
23. 10.1038/s41563-021-01054-810.1038/s41563-021-01054-8 ↗
24. 10.1002/anie.20110189110.1002/anie.201101891 ↗
25. 10.1021/jacs.2c0311410.1021/jacs.2c03114 ↗
26. 10.1038/s41563-021-00957-w10.1038/s41563-021-00957-w ↗
27. 10.1039/C8CS00688A10.1039/C8CS00688A ↗
28. 10.1021/acs.chemrev.1c0074010.1021/acs.chemrev.1c00740 ↗
29. 10.1002/anie.20210116310.1002/anie.202101163 ↗
30. 10.1002/adma.20170518910.1002/adma.201705189 ↗
31. 10.1002/anie.20210431810.1002/anie.202104318 ↗
32. 10.1002/anie.20130765610.1002/anie.201307656 ↗
33. 10.1039/C6CS00135A10.1039/C6CS00135A ↗
34. 10.1039/D1CS00759A10.1039/D1CS00759A ↗
35. 10.1021/ac201517c10.1021/ac201517c ↗
36. 10.1126/science.116867910.1126/science.1168679 ↗
37. 10.1039/D2CS00856D10.1039/D2CS00856D ↗
38. 10.1002/anie.20060139110.1002/anie.200601391 ↗
39. 10.1002/anie.20201080210.1002/anie.202010802 ↗
40. 10.1039/D2CC00943A10.1039/D2CC00943A ↗
41. 10.1002/anie.20200943610.1002/anie.202009436 ↗
42. 10.1002/adma.20230424910.1002/adma.202304249 ↗
43. 10.1021/acs.chemmater.3c0188810.1021/acs.chemmater.3c01888 ↗
44. 10.1039/D3CC01164J10.1039/D3CC01164J ↗
45. 10.1016/j.mtchem.2022.10091910.1016/j.mtchem.2022.100919 ↗
46. 10.1021/jacs.1c0938510.1021/jacs.1c09385 ↗
47. 10.1016/j.cclet.2023.10874010.1016/j.cclet.2023.108740 ↗
48. 10.1002/anie.20201370110.1002/anie.202013701 ↗
49. 10.1002/anie.20210699810.1002/anie.202106998 ↗
50. 10.1021/jacs.9b0998810.1021/jacs.9b09988 ↗
51. 10.1002/cplu.20200027510.1002/cplu.202000275 ↗
52. 10.1039/D0CS00011F10.1039/D0CS00011F ↗
53. 10.1021/ja211985k10.1021/ja211985k ↗
54. 10.1021/acs.chemmater.1c0371910.1021/acs.chemmater.1c03719 ↗
55. 10.1039/C7CS00185A10.1039/C7CS00185A ↗
56. 10.1038/s41467-023-41390-810.1038/s41467-023-41390-8 ↗
57. 10.1039/D3QO00258F10.1039/D3QO00258F ↗
58. 10.1039/C5CC09088A10.1039/C5CC09088A ↗
59. 10.1021/jacs.9b1354810.1021/jacs.9b13548 ↗
60. 10.1002/anie.20180899810.1002/anie.201808998 ↗
61. 10.1016/j.xcrp.2023.10163710.1016/j.xcrp.2023.101637 ↗
62. 10.1002/anie.20200699910.1002/anie.202006999 ↗
63. 10.1021/jacs.2c0166810.1021/jacs.2c01668 ↗