An integrated electronic skin with biaxial sensitivity from a layered biphasic liquid metal/polymer film
Source abstract
Abstract
Research on electronic skin (e-skin) is dedicated to simulating natural skin for the perception of external mechanical stimuli. Currently, e-skin is ineffective in analyzing a single stimulus from different directions. This work successfully fabricates an integrated electronic skin (IES) with biaxial sensing capability through the combination of a biphasic liquid metal and porous foam. Remarkably different from traditional e-skin, the IES can analyze the type, strength, and area of an external mechanical stimulus from vertical and horizontal dimensions with a dual response (capacitive and resistive change, respectively). As a multifunctional sensor, the IES simultaneously responds to compression via capacitive change and tension via resistive change. Furthermore, 1000 cyclic compressions were conducted to confirm the electrical stability of the IES. Very subtle stimuli (e.g. thawing ice and touch) can be detected by the IES via biaxial detection. This work provides a new protocol for the development of future intelligent flexible electronics.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Nanomaterials and Printing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, P. R. China
National Graduate College for Elite Engineers, Southeast University, Wuxi Campus, Wuxi, 214061, P. R. China
School of Materials Engineering, Changshu Institute of Technology, Changshu 215500, P. R. China
Funding
National Natural Science Foundation of China
References (40)
Show source-provided references
1. Marte · Nature · 2007 · 445 · 83310.1038/445833a ↗
2. Lai-Cheong · Medicine · 2013 · 41 · 31710.1016/j.mpmed.2013.04.017 ↗
3. Yang · Adv. Mater. · 2019 · 31 · e190476510.1002/adma.201904765 ↗
4. Chen · Adv. Funct. Mater. · 2021 · 31 · 210468610.1002/adfm.202104686 ↗
5. Qin · Adv. Mater. · 2021 · 33 · 200826710.1002/adma.202008267 ↗
6. Nie · Acta Biomater. · 2022 · 139 · 28010.1016/j.actbio.2021.06.018 ↗
7. Park · Sci. Rob. · 2022 · 7 · eabm718710.1126/scirobotics.abm7187 ↗
8. Hou · Adv. Funct. Mater. · 2021 · 31 · 210700610.1002/adfm.202107006 ↗
9. Stern · Nature · 2021 · 591 · 68510.1038/d41586-021-00739-z ↗
10. Niu · Adv. Mater. · 2022 · 34 · e220262210.1002/adma.202202622 ↗
11. Wang · Science · 2023 · 380 · 73510.1126/science.ade0086 ↗
12. Nam · Adv. Mater. · 2023 · 35 · 230245610.1002/adma.202302456 ↗
13. Ma · Nano Energy · 2017 · 32 · 38910.1016/j.nanoen.2017.01.004 ↗
14. Liu · ACS Appl. Mater. Interfaces · 2020 · 12 · 560110.1021/acsami.9b21197 ↗
15. Boutry · Sci. Rob. · 2018 · 3 · eaau691410.1126/scirobotics.aau6914 ↗
16. Bu · Sci. Bull. · 2021 · 66 · 184910.1016/j.scib.2021.04.041 ↗
17. Zhang · Adv. Electron. Mater. · 2021 · 7 · 2305630
18. Chen · Nat. Commun. · 2022 · 13 · 120610.1038/s41467-022-28901-9 ↗
19. Wang · J. Mater. Chem. A · 2022 · 10 · 818610.1039/D1TA10746A ↗
20. Chen · Adv. Mater. · 2023 · 35 · e230563010.1002/adma.202305630 ↗
21. Massari · Nat. Mach. Intell. · 2022 · 4 · 42510.1038/s42256-022-00487-3 ↗
22. Pan · Nat. Commun. · 2014 · 5 · 300210.1038/ncomms4002 ↗
23. Ruth · ACS Appl. Mater. Interfaces · 2020 · 12 · 5830110.1021/acsami.0c19196 ↗
24. Ma · J. Materiomics · 2020 · 6 · 32110.1016/j.jmat.2019.12.008 ↗
25. Guo · Small · 2022 · 18 · e220304410.1002/smll.202203044 ↗
26. Liu · Adv. Mater. · 2022 · 34 · e220082310.1002/adma.202200823 ↗
27. Cao · Science · 2020 · 369 · 15410.1126/369.6500.twis ↗
28. Liu · Sci. Rob. · 2022 · 7 · eabl728610.1126/scirobotics.abl7286 ↗
29. Hu · Adv. Funct. Mater. · 2023 · 230935910.1002/adfm.202309359, ↗
30. Zhi · Nanomicro Lett. · 2023 · 15 · 60
31. Lai · Adv. Funct. Mater. · 2016 · 26 · 128610.1002/adfm.201503606 ↗
32. Gong · Adv. Mater. · 2019 · 31 · 190378910.1002/adma.201903789 ↗
33. Xu · Nano Energy · 2022 · 99 · 10738410.1016/j.nanoen.2022.107384 ↗
34. Bai · Nano Energy · 2023 · 109142
35. Ge · Adv. Sci. · 2023 · 230134110.1002/advs.202301341 ↗
36. Wong · Exp. Dermatol. · 2016 · 25 · 9210.1111/exd.12832 ↗
37. Wang · Int. J. Neural. Syst. · 2015 · 25 · 145003710.1142/S0129065714500373 ↗
38. Ji · J. Appl. Mech. · 2022 · 89 · 11100310.1115/1.4055503 ↗
39. Peng · Sci. Chin. Mater. · 2023 · 66 · 112410.1007/s40843-022-2220-5 ↗
40. Li · ACS Appl. Electron. Mater. · 2021 · 3 · 399910.1021/acsaelm.1c00534 ↗