Combining High Sensitivity and Dynamic Range: Wearable Thin-Film Composite Strain Sensors of Graphene, Ultrathin Palladium, and PEDOT:PSS
Source abstract
Abstract
Wearable mechanical sensors have the potential to transform healthcare by enabling patient monitoring outside of the clinic. A critical challenge in the development of mechanical-e.g., strain-sensors is the combination of sensitivity, dynamic range, and robustness. This work describes a highly sensitive and robust wearable strain sensor composed of three layered materials: graphene, an ultrathin film of palladium, and highly plasticized PEDOT:PSS. The role of the graphene is to provide a conductive, manipulable substrate for the deposition of palladium. When deposited at low nominal thicknesses (~8 nm) palladium forms a rough, granular film which is highly piezoresistive (i.e., the resistance increases with strain with high sensitivity). The dynamic range of these graphene/palladium films, however, is poor, and can only be extended to ~10% before failure. This fragility renders the films incompatible with wearable applications on stretchable substrates. To improve the working range of graphene/palladium strain sensors, a layer of highly plasticized PEDOT:PSS is used as a stretchable conductive binder. That is, the conductive polymer provides an alternative pathway for electrical conduction upon cracking of the palladium film and the graphene. The result was a strain sensor that possessed good sensitivity at low strains (0.001% engineering strain) but with a working range up to 86%. The piezoresistive performance can be optimized in a wearable device by sandwiching the conductive composite between a soft PDMS layer in contact with the skin and a harder layer at the air interface. When attached to the skin of the torso, the patch-like strain sensors were capable of detecting heartbeat (small strain) and respiration (large strain) simultaneously. This demonstration highlights the ability of the sensor to measure low and high strains in a single interpolated signal, which could be useful in monitoring, for example, obstructive sleep apnea with an unobtrusive device.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Muscle activation and electromyography studies · Tactile and Sensory Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of NanoEngineering, University of California, San Diego, 9500 Gilman Drive, Mail Code 0448, La Jolla, California 92093-0448, United States
Funding
National Institute of General Medical Sciences · National Institutes of Health · National Science Foundation · Center for Wearable Sensors
References (59)
Show source-provided references
1. 10.1002/adma.20150294710.1002/adma.201502947 ↗
2. 10.1021/acs.nanolett.5b0482110.1021/acs.nanolett.5b04821 ↗
3. 10.1002/adma.20150424410.1002/adma.201504244 ↗
4. 10.1088/0964-1726/15/3/00910.1088/0964-1726/15/3/009 ↗
5. 10.1109/JSEN.2009.202699610.1109/JSEN.2009.2026996 ↗
6. 10.1177/058310240606149910.1177/0583102406061499 ↗
7. 10.1126/science.120615710.1126/science.1206157 ↗
8. 10.3390/s15092345910.3390/s150923459 ↗
9. 10.1002/adma.20170131210.1002/adma.201701312 ↗
10. 10.1063/1.180627510.1063/1.1806275 ↗
11. 10.1016/j.actamat.2008.02.03010.1016/j.actamat.2008.02.030 ↗
12. 10.1016/j.carbon.2012.08.04810.1016/j.carbon.2012.08.048 ↗
13. 10.1063/1.474233110.1063/1.4742331 ↗
14. 10.1002/adfm.20140037910.1002/adfm.201400379 ↗
15. 10.1103/PhysRevB.80.04540110.1103/PhysRevB.80.045401 ↗
16. 10.1021/nn800459e10.1021/nn800459e ↗
17. 10.1021/acsnano.6b0253310.1021/acsnano.6b02533 ↗
18. 10.1021/nl401352k10.1021/nl401352k ↗
19. 10.1039/C6MH00027D10.1039/C6MH00027D ↗
20. 10.1038/nature1400210.1038/nature14002 ↗
21. 10.1002/adma.20160242510.1002/adma.201602425 ↗
22. 10.1016/S0924-4247(99)00343-X10.1016/S0924-4247(99)00343-X ↗
23. 10.1109/JSEN.2011.211337410.1109/JSEN.2011.2113374 ↗
24. 10.1109/84.78863110.1109/84.788631 ↗
25. 10.1002/adfm.20130390510.1002/adfm.201303905 ↗
26. 10.1021/acsnano.8b0137210.1021/acsnano.8b01372 ↗
27. 10.1038/nnano.2011.18410.1038/nnano.2011.184 ↗
28. 10.1021/acsami.8b0647510.1021/acsami.8b06475 ↗
29. 10.1038/nnano.2011.3610.1038/nnano.2011.36 ↗
30. 10.1021/acsnano.5b0161310.1021/acsnano.5b01613 ↗
31. 10.1021/acsnano.5b0183510.1021/acsnano.5b01835 ↗
32. 10.1002/adfm.20150475510.1002/adfm.201504755 ↗
33. 10.1039/C8NR05404E10.1039/C8NR05404E ↗
34. 10.1002/adma.20150355810.1002/adma.201503558 ↗
35. 10.1021/acsami.5b0069510.1021/acsami.5b00695 ↗
36. 10.1002/adma.20130474210.1002/adma.201304742 ↗
37. 10.1002/aelm.20140006310.1002/aelm.201400063 ↗
38. 10.1021/acsami.5b0500110.1021/acsami.5b05001 ↗
39. 10.1021/acsnano.8b0213310.1021/acsnano.8b02133 ↗
40. 10.1021/acs.nanolett.8b0229210.1021/acs.nanolett.8b02292 ↗
41. 10.1038/nnano.2010.13210.1038/nnano.2010.132 ↗
42. 10.1021/acsomega.7b0004410.1021/acsomega.7b00044 ↗
43. 10.1039/C6NR09005B10.1039/C6NR09005B ↗
44. 10.1002/adfm.20140175810.1002/adfm.201401758 ↗
45. 10.1002/adfm.20110177510.1002/adfm.201101775 ↗
46. 10.1016/j.synthmet.2009.08.02210.1016/j.synthmet.2009.08.022 ↗
47. 10.1021/nn405249n10.1021/nn405249n ↗
48. 10.1021/nn300452y10.1021/nn300452y ↗
49. 10.1038/nnano.2011.610.1038/nnano.2011.6 ↗
50. 10.1021/acsami.6b1611510.1021/acsami.6b16115 ↗
51. 10.1021/acs.chemmater.7b0392210.1021/acs.chemmater.7b03922 ↗
52. 10.2147/PPA.S10410010.2147/PPA.S104100 ↗
53. 10.1016/j.jacc.2013.04.08010.1016/j.jacc.2013.04.080 ↗
54. 10.1161/HYPERTENSIONAHA.111.17978810.1161/HYPERTENSIONAHA.111.179788 ↗
55. 10.1161/CIRCULATIONAHA.109.90180110.1161/CIRCULATIONAHA.109.901801 ↗
56. 10.1007/s10508-011-9894-210.1007/s10508-011-9894-2 ↗
57. 10.1007/s10508-015-0615-010.1007/s10508-015-0615-0 ↗
58. Franklin K. A. · J. Thorac. Dis. · 2015 · 7 · 1311
59. 10.1513/pats.200709-155MG10.1513/pats.200709-155MG ↗