journal article·2020-07-15

Fully Elastomeric Fingerprint-Shaped Electronic Skin Based on Tunable Patterned Graphene/Silver Nanocomposites

Lingfeng Zhu, Yancheng Wang, Deqing Mei, Wen Ding, Chengpeng Jiang, Yingtong Lu

ACS Applied Materials & Interfaces· Volume 12· Issue 28
Publisher page

Abstract

Multifunctional electronic skins (e-skins), which mimic the somatosensory system of human skin, have been widely employed in wearable devices for intelligent robotics, prosthetics, and human health monitoring. Relatively low sensitivity and severe mutual interferences of multiple stimuli detection have limited the applications of the existing e-skins. To address these challenges, inspired by the physical texture of the natural fingerprint, a novel fully elastomeric e-skin is developed herein for highly sensitive pressure and temperature sensing. A region-partition strategy is utilized to construct the multifunctional fingerprint-shaped sensing elements, where strain isolation structure of indurated film patterns are further embedded to enhance the sensitivity and effectively reduce mutual interferences between the differentiated units. The fully elastomeric graphene/silver/silicone rubber nanocomposites are synthesized with tunable properties including conductivity and sensitivity to satisfy the requirements of highly sensitive pressure and temperature sensing as well as stretchable electrodes. Remarkable progress in sensitivities for both pressure and temperature, up to 5.53 kPa–1 in a wide range of 0.5–120 kPa and 0.42% °C–1 in 25–60 °C, respectively, are achieved with the inappreciable mutual interferences. Further studies demonstrate the great potential of the proposed e-skin in the next-generation of wearable electronics for human–machine interfaces.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Tactile and Sensory Interactions

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

Affiliations

Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China

State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China

Research Center for Smart Sensing, Zhejiang Lab, Hangzhou 310000, China

Funding

National Natural Science Foundation of China · Open Fund Project of Zhijiang Laboratory · Zhejiang Provincial Funds for Distinguished Young Scientists of China

References (47)

Show source-provided references
1. 10.1038/s41587-019-0079-110.1038/s41587-019-0079-1 ↗
2. 10.1126/scirobotics.aax219810.1126/scirobotics.aax2198 ↗
3. 10.1038/nmat467110.1038/nmat4671 ↗
4. 10.1002/smll.20170303410.1002/smll.201703034 ↗
5. 10.1038/s41467-017-02685-910.1038/s41467-017-02685-9 ↗
6. 10.1038/s41586-019-1234-z10.1038/s41586-019-1234-z ↗
7. 10.1021/acsami.8b1580910.1021/acsami.8b15809 ↗
8. 10.1021/acs.nanolett.8b0451410.1021/acs.nanolett.8b04514 ↗
9. 10.1002/adfm.20190715110.1002/adfm.201907151 ↗
10. 10.1002/admt.20180032710.1002/admt.201800327 ↗
11. 10.1002/adma.20170251710.1002/adma.201702517 ↗
12. 10.1021/acsami.9b1334910.1021/acsami.9b13349 ↗
13. 10.1002/adma.20180338810.1002/adma.201803388 ↗
14. 10.1002/adma.20190213310.1002/adma.201902133 ↗
15. 10.1038/ncomms674710.1038/ncomms6747 ↗
16. 10.1021/acsnano.9b0203010.1021/acsnano.9b02030 ↗
17. 10.1016/j.bios.2018.09.03510.1016/j.bios.2018.09.035 ↗
18. 10.1021/acsami.9b0521410.1021/acsami.9b05214 ↗
19. 10.1126/sciadv.aaq050810.1126/sciadv.aaq0508 ↗
20. 10.1002/adma.20200024610.1002/adma.202000246 ↗
21. 10.1002/adfm.20191050410.1002/adfm.201910504 ↗
22. 10.1039/C8NR08819E10.1039/C8NR08819E ↗
23. 10.1002/aelm.20190065310.1002/aelm.201900653 ↗
24. 10.1002/smll.20180508410.1002/smll.201805084 ↗
25. 10.1016/j.nanoen.2019.01.07210.1016/j.nanoen.2019.01.072 ↗
26. 10.1109/JMEMS.2018.288118110.1109/JMEMS.2018.2881181 ↗
27. 10.1016/j.pmatsci.2019.10061710.1016/j.pmatsci.2019.100617 ↗
28. 10.1002/adma.20180006610.1002/adma.201800066 ↗
29. 10.1002/smll.20170292910.1002/smll.201702929 ↗
30. 10.1002/adfm.20180298910.1002/adfm.201802989 ↗
31. 10.1039/C9TC02356A10.1039/C9TC02356A ↗
32. 10.1002/adma.20150573910.1002/adma.201505739 ↗
33. 10.1038/s41598-020-59450-010.1038/s41598-020-59450-0 ↗
34. 10.1038/s41467-018-04906-110.1038/s41467-018-04906-1 ↗
35. 10.1021/acsami.8b2059510.1021/acsami.8b20595 ↗
36. 10.1021/acsami.8b2261310.1021/acsami.8b22613 ↗
37. 10.1021/nn500441k10.1021/nn500441k ↗
38. 10.1002/admt.20180030710.1002/admt.201800307 ↗
39. 10.1039/C7NR03748A10.1039/C7NR03748A ↗
40. 10.1016/j.sna.2017.11.05310.1016/j.sna.2017.11.053 ↗
41. 10.1021/acsami.7b1685910.1021/acsami.7b16859 ↗
42. 10.1002/admt.20170018310.1002/admt.201700183 ↗
43. 10.1002/adma.20170198510.1002/adma.201701985 ↗
44. 10.1002/admt.20170024810.1002/admt.201700248 ↗
45. 10.1016/j.carbon.2015.07.08810.1016/j.carbon.2015.07.088 ↗
46. 10.1109/TOH.2016.252137810.1109/TOH.2016.2521378 ↗
47. 10.1126/science.aag287910.1126/science.aag2879 ↗