journal article·2020-10-27

Superlyophilic Shape Memory Porous Sponge for Smart Liquid Permeation

Pengchang Liu, Hua Lai, Xin Luo, Qixing Xia, Dongjie Zhang, Zhongjun Cheng, Yuyan Liu, Lei Jiang

ACS Nano· Volume 14· Issue 10
Publisher page

Abstract

Recently, smart liquid permeation has aroused much attention. However, existing strategies to achieve such a goal are often based on reversibly controlling hydrophobicity/hydrophilicity on static porous structures, which are unsuitable for oils with low surface tension, and meanwhile they cannot realize tunable permeation flux since the pore sizes are constant. Herein, we report a superlyophilic shape memory porous sponge (SSMS) that can demonstrate tunable pore size from about 28 nm to 900 μm as the material's shape is changed. Based on the controllability in pore size, not only ON/OFF penetration but also precisely tunable permeation flux can be obtained for both water and oil. Furthermore, by using the SSMS, an application in accurate release of small-molecule rhodamine B was also demonstrated. This work reports a material with tunable pore size for controllable liquid permeation, which provides some ideas for designing smart superwetting permeation materials.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Surface Modification and Superhydrophobicity · Advanced Sensor and Energy Harvesting Materials · Electrospun Nanofibers in Biomedical Applications

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

Affiliations

MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People’s Republic of China

CAS Key Laboratory of Bio-inspired Materials and Interfacial Science, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China

Funding

National Natural Science Foundation of China

References (78)

Show source-provided references
1. 10.1126/science.106245910.1126/science.1062459 ↗
2. 10.1038/nnano.2015.13010.1038/nnano.2015.130 ↗
3. 10.1039/C7MH00216E10.1039/C7MH00216E ↗
4. 10.1002/adfm.20170397010.1002/adfm.201703970 ↗
5. 10.1002/adma.20170380210.1002/adma.201703802 ↗
6. 10.1021/jacs.9b0008610.1021/jacs.9b00086 ↗
7. 10.1002/adma.20180450810.1002/adma.201804508 ↗
8. 10.1021/acsnano.8b0126610.1021/acsnano.8b01266 ↗
9. 10.1016/j.memsci.2018.11.05610.1016/j.memsci.2018.11.056 ↗
10. 10.1002/smll.20160107010.1002/smll.201601070 ↗
11. 10.1021/acsami.6b1444810.1021/acsami.6b14448 ↗
12. 10.1002/adfm.20180077510.1002/adfm.201800775 ↗
13. 10.1021/acs.langmuir.9b0150710.1021/acs.langmuir.9b01507 ↗
14. 10.1039/C9CC08768K10.1039/C9CC08768K ↗
15. 10.1039/C9SM01624D10.1039/C9SM01624D ↗
16. 10.1002/adfm.20170654510.1002/adfm.201706545 ↗
17. 10.1002/adfm.20170686710.1002/adfm.201706867 ↗
18. 10.1002/ange.20181448710.1002/ange.201814487 ↗
19. 10.1021/am301474610.1021/am3014746 ↗
20. 10.1002/anie.20180173610.1002/anie.201801736 ↗
21. 10.1021/nn405398d10.1021/nn405398d ↗
22. 10.1039/C8SC04581J10.1039/C8SC04581J ↗
23. 10.1002/adma.20170737710.1002/adma.201707377 ↗
24. 10.1039/C9SC00020H10.1039/C9SC00020H ↗
25. 10.1126/sciadv.170000410.1126/sciadv.1700004 ↗
26. 10.1016/j.memsci.2017.04.06310.1016/j.memsci.2017.04.063 ↗
27. 10.1007/s10853-017-1535-210.1007/s10853-017-1535-2 ↗
28. 10.1007/s12274-013-0297-710.1007/s12274-013-0297-7 ↗
29. 10.1002/ange.20181448710.1002/ange.201814487 ↗
30. 10.1002/adma.20170332310.1002/adma.201703323 ↗
31. 10.1021/ja211148a10.1021/ja211148a ↗
32. 10.1021/ic700777f10.1021/ic700777f ↗
33. 10.1021/la900210910.1021/la9002109 ↗
34. 10.1002/adfm.20170429310.1002/adfm.201704293 ↗
35. 10.1126/sciadv.aao672410.1126/sciadv.aao6724 ↗
36. 10.1016/j.compscitech.2019.10787410.1016/j.compscitech.2019.107874 ↗
37. 10.1016/j.cej.2019.12237310.1016/j.cej.2019.122373 ↗
38. 10.1016/j.cej.2018.11.12510.1016/j.cej.2018.11.125 ↗
39. 10.1080/03602559.2017.132943310.1080/03602559.2017.1329433 ↗
40. 10.1002/adfm.20190055410.1002/adfm.201900554 ↗
41. 10.1002/adma.20130240610.1002/adma.201302406 ↗
42. 10.1038/nnano.2017.3310.1038/nnano.2017.33 ↗
43. 10.1002/adma.20090298610.1002/adma.200902986 ↗
44. 10.1016/j.cej.2020.12416910.1016/j.cej.2020.124169 ↗
45. 10.1002/adma.20190824910.1002/adma.201908249 ↗
46. 10.1002/adma.20150431710.1002/adma.201504317 ↗
47. 10.1039/C9TB00902G10.1039/C9TB00902G ↗
48. 10.1021/acsami.7b0223810.1021/acsami.7b02238 ↗
49. 10.1177/1045389X1662956910.1177/1045389X16629569 ↗
50. 10.1002/adfm.20190656910.1002/adfm.201906569 ↗
51. 10.1002/adma.20150083510.1002/adma.201500835 ↗
52. 10.1039/C8MH01070F10.1039/C8MH01070F ↗
53. 10.1002/smll.20160009210.1002/smll.201600092 ↗
54. 10.1002/ange.20180041610.1002/ange.201800416 ↗
55. 10.1002/adma.20130403010.1002/adma.201304030 ↗
56. 10.1021/acsnano.7b0449410.1021/acsnano.7b04494 ↗
57. 10.1039/C6TA10903A10.1039/C6TA10903A ↗
58. 10.1021/acsami.9b2022310.1021/acsami.9b20223 ↗
59. 10.1021/acsami.9b2269310.1021/acsami.9b22693 ↗
60. 10.1016/j.cej.2019.12298910.1016/j.cej.2019.122989 ↗
61. 10.1002/adma.20170029510.1002/adma.201700295 ↗
62. 10.1007/s12274-017-1484-810.1007/s12274-017-1484-8 ↗
63. 10.1002/adfm.20190248810.1002/adfm.201902488 ↗
64. 10.1002/adfm.20170532710.1002/adfm.201705327 ↗
65. 10.1002/smll.20160049910.1002/smll.201600499 ↗
66. 10.1002/adma.20110261610.1002/adma.201102616 ↗
67. 10.1007/s40242-019-9089-210.1007/s40242-019-9089-2 ↗
68. 10.1002/adfm.20180630210.1002/adfm.201806302 ↗
69. Zhao Q. · Sci. Adv. · 2018 · 2 · e150129710.1126/sciadv.1501297 ↗
70. 10.1002/ange.20170694910.1002/ange.201706949 ↗
71. 10.1016/j.pmatsci.2011.03.00110.1016/j.pmatsci.2011.03.001 ↗
72. 10.1016/j.polymer.2011.08.00310.1016/j.polymer.2011.08.003 ↗
73. 10.1016/j.progpolymsci.2012.06.00110.1016/j.progpolymsci.2012.06.001 ↗
74. 10.1126/science.121210110.1126/science.1212101 ↗
75. 10.1007/s40242-018-8077-210.1007/s40242-018-8077-2 ↗
76. 10.1002/smll.20160226510.1002/smll.201602265 ↗
77. 10.1073/pnas.160338711310.1073/pnas.1603387113 ↗
78. 10.1002/ange.20090511110.1002/ange.200905111 ↗