journal article·2024-02-14

Sensitive, Robust, Wide-Range, and High-Consistency Capacitive Tactile Sensors with Ordered Porous Dielectric Microstructures

Zhikang Li, Kang Zhao, Jiaxiang Wang, Bin Wang, Jijian Lu, Boqing Jia, Tian Ji, Xiangguang Han, Guoxi Luo, Yilin Yu, Lu Wang, Min Li, Zhengjin Wang, Libo Zhao

Publisher page

Abstract

Flexible capacitive tactile sensors show great promise in personalized healthcare monitoring and human–machine interfaces, but their practical application is normally hindered because they rarely possess the required comprehensive performance, that is, high pressure sensitivity and fast response within a broad pressure range, high structure robustness, performance consistency, etc. This paper aims to engineer flexible capacitive pressure sensors with highly ordered porous dielectric microstructures and a 3D-printing-based fully solution-processable fabrication process. The proposed dielectric layer with uniformly distributed interior microporous can not only increase its compressibility and dynamic response within an extended pressure range but also enlarge its contact area with electrodes, contributing to a simultaneous improvement in the sensitivity, response speed, detection range, and structure robustness. Meanwhile, owing to its superior abilities in complex structure manufacturing and dimension controlling, the proposed 3D-printing-based fabrication process enables the consistent fabrication of the porous microstructure and thus guarantees device consistency. As a result, the prepared pressure sensors exhibit a high sensitivity of 0.21 kPa –1, fast response and relaxation times of 112 and 152 ms, an interface bonding strength of more than 455.2 kPa, and excellent performance consistency (≤5.47% deviation among different batches of sensors) and tunability. Encouraged by this, the pressure sensor is further integrated with a wireless readout circuit and realizes wireless wearable monitoring of various biosignals (pulse waves and heart rate) and body movements (from slight finger touch to large knee bending). Finally, the influence law of the feature parameters of the porous microstructure on device performance is established by the finite element method, paving the way for sensor optimization. This study motivates the development of flexible capacitive pressure sensors toward practical application.
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

State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China

International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi’an Jiaotong University, Xi’an 710049, China

School of Instrument Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China

Shandong Laboratory of Advanced Materials and Green Manufacturing at Yantai, Yantai 264000, China

School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China

State Key Laboratory for Strength and Vibration of Mechanical Structures, Department of Engineering Mechanics, School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Funding

National Key Research and Development Program of China · Natural Science Foundation of Chongqing Municipality · National Natural Science Foundation of China · Shaanxi Province

References (77)

Show source-provided references
1. 10.1038/s41467-020-17298-y10.1038/s41467-020-17298-y ↗
2. 10.1073/pnas.210046611810.1073/pnas.2100466118 ↗
3. 10.1038/s41928-018-0071-710.1038/s41928-018-0071-7 ↗
4. 10.1038/s41551-021-00767-010.1038/s41551-021-00767-0 ↗
5. 10.1002/adfm.20200893610.1002/adfm.202008936 ↗
6. 10.1126/science.aaf881010.1126/science.aaf8810 ↗
7. 10.1126/science.aat84110.1126/science.aat841 ↗
8. 10.1038/s41467-022-29093-y10.1038/s41467-022-29093-y ↗
9. 10.1038/ncomms413210.1038/ncomms4132 ↗
10. 10.1002/adma.20210935710.1002/adma.202109357 ↗
11. 10.1002/adma.20140380710.1002/adma.201403807 ↗
12. 10.1038/s41551-018-0336-510.1038/s41551-018-0336-5 ↗
13. 10.1002/adma.20150253510.1002/adma.201502535 ↗
14. 10.1002/adfm.20200360110.1002/adfm.202003601 ↗
15. 10.1039/C9MH00951E10.1039/C9MH00951E ↗
16. 10.1126/science.abc973510.1126/science.abc9735 ↗
17. 10.1021/acsnano.0c0365910.1021/acsnano.0c03659 ↗
18. 10.1002/adma.20220911710.1002/adma.202209117 ↗
19. 10.1002/adfm.20180850910.1002/adfm.201808509 ↗
20. 10.1109/LED.2020.304231010.1109/LED.2020.3042310 ↗
21. 10.1007/s12274-021-3906-x10.1007/s12274-021-3906-x ↗
22. 10.1002/adfm.20200349110.1002/adfm.202003491 ↗
23. 10.1016/j.mser.2017.02.00110.1016/j.mser.2017.02.001 ↗
24. 10.1038/s41928-022-00723-z10.1038/s41928-022-00723-z ↗
25. 10.1016/j.matt.2021.06.03410.1016/j.matt.2021.06.034 ↗
26. 10.1002/adma.20150415210.1002/adma.201504152 ↗
27. 10.1038/nmat283410.1038/nmat2834 ↗
28. 10.1038/s41928-019-0356-510.1038/s41928-019-0356-5 ↗
29. 10.1039/C4MH00147H10.1039/C4MH00147H ↗
30. 10.1021/acsami.9b1796610.1021/acsami.9b17966 ↗
31. 10.1021/acsami.9b0371810.1021/acsami.9b03718 ↗
32. 10.1016/j.nanoen.2019.10443610.1016/j.nanoen.2019.104436 ↗
33. 10.1021/nn505953t10.1021/nn505953t ↗
34. 10.1021/acsami.7b0575310.1021/acsami.7b05753 ↗
35. 10.1002/smll.20160076010.1002/smll.201600760 ↗
36. 10.1002/aelm.20170058610.1002/aelm.201700586 ↗
37. 10.1002/adfm.20180234310.1002/adfm.201802343 ↗
38. 10.1002/smll.20180165710.1002/smll.201801657 ↗
39. 10.1016/j.measurement.2019.10709510.1016/j.measurement.2019.107095 ↗
40. 10.1021/acsami.6b0422510.1021/acsami.6b04225 ↗
41. 10.1016/j.jallcom.2022.16791910.1016/j.jallcom.2022.167919 ↗
42. 10.1002/aisy.20220029510.1002/aisy.202200295 ↗
43. 10.1002/adma.20210332010.1002/adma.202103320 ↗
44. 10.1021/acsami.0c0444810.1021/acsami.0c04448 ↗
45. 10.1021/acsami.9b2009710.1021/acsami.9b20097 ↗
46. 10.1002/aelm.20210017410.1002/aelm.202100174 ↗
47. 10.1002/aelm.20160035610.1002/aelm.201600356 ↗
48. 10.1021/acsami.8b0105010.1021/acsami.8b01050 ↗
49. 10.1039/D0MH01359E10.1039/D0MH01359E ↗
50. 10.1021/acsami.0c0044810.1021/acsami.0c00448 ↗
51. 10.1021/acsnano.0c0784710.1021/acsnano.0c07847 ↗
52. 10.1021/cm203216m10.1021/cm203216m ↗
53. 10.1002/adfm.20100229010.1002/adfm.201002290 ↗
54. 10.1016/0040-6090(95)08117-810.1016/0040-6090(95)08117-8 ↗
55. 10.1039/C7LC00914C10.1039/C7LC00914C ↗
56. 10.1002/admt.20210035810.1002/admt.202100358 ↗
57. 10.1109/LED.2017.278453810.1109/LED.2017.2784538 ↗
58. 10.1002/advs.20200025810.1002/advs.202000258 ↗
59. 10.1016/j.matdes.2020.10920310.1016/j.matdes.2020.109203 ↗
60. 10.1016/j.compscitech.2017.06.02710.1016/j.compscitech.2017.06.027 ↗
61. 10.1016/j.nanoen.2022.10719910.1016/j.nanoen.2022.107199 ↗
62. 10.1021/acsnano.7b0171410.1021/acsnano.7b01714 ↗
63. 10.1021/acsami.3c0422710.1021/acsami.3c04227 ↗
64. 10.1016/j.sna.2022.11339310.1016/j.sna.2022.113393 ↗
65. 10.1039/D0TC03110K10.1039/D0TC03110K ↗
66. 10.1002/adfm.20190310010.1002/adfm.201903100 ↗
67. 10.1109/JMEMS.2014.233337110.1109/JMEMS.2014.2333371 ↗
68. 10.1038/s41427-018-0031-810.1038/s41427-018-0031-8 ↗
69. 10.1016/0002-9149(92)90947-W10.1016/0002-9149(92)90947-W ↗
70. 10.1021/acsami.2c0180610.1021/acsami.2c01806 ↗
71. 10.1021/acsami.9b1651110.1021/acsami.9b16511 ↗
72. 10.1111/j.1365-2516.2010.02399.x10.1111/j.1365-2516.2010.02399.x ↗
73. 10.1109/10.134810.1109/10.1348 ↗
74. 10.1002/smll.20190477410.1002/smll.201904774 ↗
75. 10.1021/acsami.9b1887310.1021/acsami.9b18873 ↗
76. 10.1002/adma.20230162710.1002/adma.202301627 ↗
77. 10.1016/j.amjhyper.2004.10.00910.1016/j.amjhyper.2004.10.009 ↗