journal article·2024-10Open access

Mimosa‐Inspired Body Temperature‐Responsive Shape Memory Polymer Networks: High Energy Densities and Multi‐Recyclability

Qingming Kong, Yu Tan, Haiyang Zhang, Tengyang Zhu, Yitan Li, Yongzheng Xing, Xu Wang

Advanced Science· Volume 11· Issue 39

Abstract

Abstract Inspired by the Mimosa plant, this study herein develops a unique dynamic shape memory polymer (SMP) network capable of transitioning from hard to pliable with heat, featuring reversible actuation, self‐healing, recyclability, and degradability. This material is adept at simulating the functionalities of artificial muscles for a variety of tasks, with a remarkable specific energy density of 1.8 J g−1—≈46 times higher than that of human skeletal muscle. As an intelligent manipulator, it demonstrates remarkable proficiency in identifying and handling items at high temperatures. Its suitable rate of shape recovery around human body temperature indicates its promising utility as an implant material for addressing acute obstructions. The dynamic covalent bonding within the network structure not only provides excellent resistance to solvents but also bestows remarkable abilities for self‐healing, reprocessing, and degradation. These attributes significantly boost its practicality and environmental sustainability. Anticipated to promote advancements in the sectors of biomedical devices, soft robotics, and smart actuators, this SMP network represents a forward leap in simulating artificial muscles, marking a stride toward the future of adaptive and sustainable technology.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Polymer composites and self-healing · Advanced Materials and Mechanics · Advanced Sensor and Energy Harvesting Materials

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

Affiliations

National Engineering Research Center for Colloidal Materials School of Chemistry and Chemical Engineering Shandong University Jinan Shandong 250100 China

Funding

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

References (71)

Show source-provided references
1. 10.1002/adma.20220982410.1002/adma.202209824 ↗
2. 10.1038/s41563-020-0789-210.1038/s41563-020-0789-2 ↗
3. 10.1002/adma.20221190210.1002/adma.202211902 ↗
4. 10.1002/adfm.20231203610.1002/adfm.202312036 ↗
5. 10.1002/adfm.20221209310.1002/adfm.202212093 ↗
6. 10.1039/D3MH00594A10.1039/D3MH00594A ↗
7. 10.1038/s41586-023-06520-810.1038/s41586-023-06520-8 ↗
8. 10.1002/adfm.20200168310.1002/adfm.202001683 ↗
9. 10.1016/j.cej.2022.14065510.1016/j.cej.2022.140655 ↗
10. 10.1002/anie.20230879310.1002/anie.202308793 ↗
11. 10.1002/adma.20230216810.1002/adma.202302168 ↗
12. 10.1038/s41467-024-45437-210.1038/s41467-024-45437-2 ↗
13. 10.1021/acsanm.2c0026410.1021/acsanm.2c00264 ↗
14. 10.1016/j.mattod.2023.04.00310.1016/j.mattod.2023.04.003 ↗
15. 10.1038/nature0886310.1038/nature08863 ↗
16. 10.1021/acsami.9b1475610.1021/acsami.9b14756 ↗
17. 10.1021/acscentsci.1c0082910.1021/acscentsci.1c00829 ↗
18. 10.1038/s41467-018-03094-210.1038/s41467-018-03094-2 ↗
19. 10.1021/acs.chemrev.2c0041810.1021/acs.chemrev.2c00418 ↗
20. 10.1016/j.cej.2022.13999210.1016/j.cej.2022.139992 ↗
21. 10.1038/s41578-018-0078-810.1038/s41578-018-0078-8 ↗
22. 10.1021/acs.macromol.2c0190910.1021/acs.macromol.2c01909 ↗
23. 10.1021/acsami.2c1944110.1021/acsami.2c19441 ↗
24. 10.1038/s41467-023-39446-w10.1038/s41467-023-39446-w ↗
25. 10.1002/anie.20201429910.1002/anie.202014299 ↗
26. 10.1002/adma.20221009210.1002/adma.202210092 ↗
27. 10.1126/science.aau645310.1126/science.aau6453 ↗
28. 10.1038/s41467-024-45980-y10.1038/s41467-024-45980-y ↗
29. 10.1002/adma.20220745110.1002/adma.202207451 ↗
30. 10.1038/s41467-023-40340-810.1038/s41467-023-40340-8 ↗
31. 10.1002/adma.20230028610.1002/adma.202300286 ↗
32. 10.1021/acsami.3c0743610.1021/acsami.3c07436 ↗
33. 10.1016/j.cej.2023.14421210.1016/j.cej.2023.144212 ↗
34. 10.1002/adma.20220191410.1002/adma.202201914 ↗
35. 10.3390/polym1424534410.3390/polym14245344 ↗
36. 10.1002/anie.20230176210.1002/anie.202301762 ↗
37. 10.3390/polym1108132010.3390/polym11081320 ↗
38. 10.1016/j.cej.2023.14283010.1016/j.cej.2023.142830 ↗
39. 10.1039/D3TA05205B10.1039/D3TA05205B ↗
40. 10.1016/j.cej.2023.14782310.1016/j.cej.2023.147823 ↗
41. 10.1016/j.compositesb.2023.11069710.1016/j.compositesb.2023.110697 ↗
42. 10.1002/adfm.20201125910.1002/adfm.202011259 ↗
43. 10.1021/acsami.2c0776710.1021/acsami.2c07767 ↗
44. 10.1021/acsnano.0c0415810.1021/acsnano.0c04158 ↗
45. 10.1016/j.cej.2021.13184810.1016/j.cej.2021.131848 ↗
46. 10.1002/smll.20231124010.1002/smll.202311240 ↗
47. 10.1021/jacs.0c1211910.1021/jacs.0c12119 ↗
48. 10.1016/j.apmt.2022.10156210.1016/j.apmt.2022.101562 ↗
49. 10.1002/adma.20230011410.1002/adma.202300114 ↗
50. 10.1039/C8TA05751F10.1039/C8TA05751F ↗
51. 10.1002/adma.20240117810.1002/adma.202401178 ↗
52. 10.1021/acsami.2c2299710.1021/acsami.2c22997 ↗
53. 10.1021/acsami.9b1944810.1021/acsami.9b19448 ↗
54. 10.1021/acs.macromol.7b0233610.1021/acs.macromol.7b02336 ↗
55. 10.1038/nature0996310.1038/nature09963 ↗
56. 10.1021/am505937p10.1021/am505937p ↗
57. 10.1021/acs.macromol.5b0076310.1021/acs.macromol.5b00763 ↗
58. 10.1021/acsapm.9b0067210.1021/acsapm.9b00672 ↗
59. 10.1021/acs.macromol.7b0056710.1021/acs.macromol.7b00567 ↗
60. 10.1021/acsami.7b0571310.1021/acsami.7b05713 ↗
61. 10.1039/D1TB01350E10.1039/D1TB01350E ↗
62. 10.1016/j.cej.2019.05.16710.1016/j.cej.2019.05.167 ↗
63. 10.1002/adma.20220851710.1002/adma.202208517 ↗
64. 10.1002/adfm.20231206810.1002/adfm.202312068 ↗
65. 10.1016/j.matt.2023.05.03010.1016/j.matt.2023.05.030 ↗
66. 10.1126/science.aaw372210.1126/science.aaw3722 ↗
67. 10.1039/D2CS00489E10.1039/D2CS00489E ↗
68. 10.1002/adma.20220861910.1002/adma.202208619 ↗
69. 10.1016/j.compositesb.2022.11046210.1016/j.compositesb.2022.110462 ↗
70. 10.1016/j.cej.2022.13707110.1016/j.cej.2022.137071 ↗
71. 10.1002/anie.20201429910.1002/anie.202014299 ↗