journal article·2024-02-27

Fabrication of Breathable Multifunctional On-Skin Electronics Based on Tunable Track-Etched Membranes

Yunbiao Zhao, Tiantong Wang, Yue Li, Ziqiang Zhao, Jianming Xue, Qining Wang

Publisher page

Abstract

The on-skin electronics have been extensively studied in various applications such as human–machine interfaces, intelligent prostheses, and health monitoring. However, the current research on flexible electronics tends to focus largely on improving flexibility, functionality, and stability while overlooking the physiological comfort. Therefore, it is necessary to develop a flexible, permeable material and structure to improve long-term wearing comfort for on-skin electronics. Here, the fabrication of breathable multifunctional on-skin electronics based on highly flexible and tunable track-etched membranes is reported. The track-etched membranes are fabricated by a state-of-the-art ion bombardment strategy and feature a smooth surface and unique pore structure regarding precisely tunable pore size and pore density, which offer simultaneously controllable permeability, high functionality, and durability. The track-etched membrane with a pore size of 12.63 μm exhibits an ultrahigh air permeability (190.6 mm s –1 ) and moisture permeability (2051 g m –2 day –1 ). Finally, highly flexible and breathable pressure sensors and bioelectric electrodes based on track-etched membranes with advanced thermoregulation are proposed for continuous monitoring of motion and physiological signals.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Gas Sensing Nanomaterials and Sensors

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

Affiliations

Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, China

State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China

Institute for Artificial Intelligence, Peking University, Beijing 100871, China

Funding

Peking University · National Key Research and Development Program of China · Baidu · National Natural Science Foundation of China

References (46)

Show source-provided references
1. 10.1126/scirobotics.aaz794610.1126/scirobotics.aaz7946 ↗
2. 10.1126/sciadv.aba429410.1126/sciadv.aba4294 ↗
3. 10.1038/nmat467110.1038/nmat4671 ↗
4. 10.1002/adma.20190476510.1002/adma.201904765 ↗
5. 10.1002/sstr.20210013510.1002/sstr.202100135 ↗
6. 10.1002/adma.20150465910.1002/adma.201504659 ↗
7. 10.1002/adhm.20200102310.1002/adhm.202001023 ↗
8. 10.1038/s41565-018-0244-610.1038/s41565-018-0244-6 ↗
9. 10.1073/pnas.211190411810.1073/pnas.2111904118 ↗
10. 10.1126/sciadv.abg845910.1126/sciadv.abg8459 ↗
11. 10.1038/s41563-020-00902-310.1038/s41563-020-00902-3 ↗
12. 10.1016/j.apenergy.2013.04.01410.1016/j.apenergy.2013.04.014 ↗
13. 10.1021/acsnano.2c0809110.1021/acsnano.2c08091 ↗
14. 10.1002/adem.20160059210.1002/adem.201600592 ↗
15. 10.1016/j.nanoen.2018.11.06110.1016/j.nanoen.2018.11.061 ↗
16. 10.1002/adfm.20200667910.1002/adfm.202006679 ↗
17. 10.1002/admt.20180062610.1002/admt.201800626 ↗
18. 10.1021/acsnano.1c0576210.1021/acsnano.1c05762 ↗
19. 10.1038/nnano.2017.12510.1038/nnano.2017.125 ↗
20. 10.1038/nnano.2008.8310.1038/nnano.2008.83 ↗
21. 10.1002/adfm.20210921410.1002/adfm.202109214 ↗
22. 10.1021/acsami.9b2340010.1021/acsami.9b23400 ↗
23. 10.1002/adma.20120138610.1002/adma.201201386 ↗
24. 10.1246/cl.13059410.1246/cl.130594 ↗
25. 10.1002/1521-4095(20021203)14:23<1779::AID-ADMA1779>3.0.CO;2-T10.1002/1521-4095(20021203)14:23<1779::AID-ADMA1779>3.0.CO;2-T ↗
26. 10.1021/acsami.0c2268910.1021/acsami.0c22689 ↗
27. 10.1021/acsami.1c2164810.1021/acsami.1c21648 ↗
28. 10.1002/adfm.20160168910.1002/adfm.201601689 ↗
29. 10.1039/D0TB01727B10.1039/D0TB01727B ↗
30. 10.1063/1.218794510.1063/1.2187945 ↗
31. 10.1021/acsami.8b0872210.1021/acsami.8b08722 ↗
32. 10.1111/j.1365-2389.1958.tb01892.x10.1111/j.1365-2389.1958.tb01892.x ↗
33. 10.1029/2005gl02513410.1029/2005gl025134 ↗
34. 10.1002/adfm.20210558710.1002/adfm.202105587 ↗
35. 10.1039/D1NA00180A10.1039/D1NA00180A ↗
36. 10.5301/jabfm.500019010.5301/jabfm.5000190 ↗
37. 10.1073/pnas.191776211610.1073/pnas.1917762116 ↗
38. 10.1126/science.aat951310.1126/science.aat9513 ↗
39. 10.1089/soro.2021.020910.1089/soro.2021.0209 ↗
40. 10.1002/adfm.20180734310.1002/adfm.201807343 ↗
41. 10.1021/acssensors.0c0254710.1021/acssensors.0c02547 ↗
42. 10.1002/adma.20220247810.1002/adma.202202478 ↗
43. 10.1002/adfm.20180638810.1002/adfm.201806388 ↗
44. 10.1126/scitranslmed.abc432710.1126/scitranslmed.abc4327 ↗
45. 10.1109/tmech.2006.87855010.1109/tmech.2006.878550 ↗
46. Stroobandt, R. X.; Barold, S. S.; Sinnaeve, A. F. ECG from Basics to Essentials: Step by Step; John Wiley & Sons, 2016; pp 35–37.10.1002/9781119066446 ↗