Highly Sensitive Composite Foam Bodily Sensors Based on the g-Putty Ink Soaking Procedure
Source abstract
Abstract
Electrically conductive composite materials are highlighted as a potential tech path toward future flexible devices for wearable health technologies. To be commercially viable, these materials must not only be mechanically soft, highly sensitive to deformation, and report a sustainable signal but also utilize manufacturing methods that facilitate large-scale production. An ideal candidate for these envisioned technologies is the viscous, electromechanically sensitive composite material g-putty. Inks based on g-putty here are shown to transform a commercial polymer foam into a sensitive strain sensing material through a simple, scalable soaking procedure. Foam composites reported here have sensitives as high as ∼20 in terms of compressive strain and ∼0.4 kPa–1 with respect to applied compressive stress; both values being comparable to the parent g-putty material. Through g-putty’s self-adhering nature, the foams used acted as an elastic scaffolding that aided in overcoming many of the hysteresis effects associated with g-putty without the need for further encapsulation methods. From this, these composite foams were demonstrated to have a sustainable signal that allowed for effective impact and vital sign sensing.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Polydiacetylene-based materials and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mathematical and Physical Sciences, University of Sussex, Brighton BN1 9QH, U.K.
School of Physics, Trinity College Dublin, D02 PN40 Dublin 2, Ireland
CRANN & AMBER Research Centers, Trinity College Dublin, D02 PN40 Dublin 2, Ireland
Funding
University of Sussex · Graphene Flagship · H2020 European Research Council
References (28)
Show source-provided references
1. 10.1021/acsaelm.0c0049010.1021/acsaelm.0c00490 ↗
2. Ramalingame R. · 2020 · 270 · 37110.1007/978-981-15-1819-5_19 ↗
3. 10.1016/j.sna.2020.11235510.1016/j.sna.2020.112355 ↗
4. 10.1016/j.carbon.2015.08.05510.1016/j.carbon.2015.08.055 ↗
5. 10.1016/j.jece.2020.10374310.1016/j.jece.2020.103743 ↗
6. 10.1002/aelm.20160031410.1002/aelm.201600314 ↗
7. 10.1002/adhm.20170088910.1002/adhm.201700889 ↗
8. 10.1002/advs.20190018610.1002/advs.201900186 ↗
9. 10.1088/2053-1583/ab1e0a10.1088/2053-1583/ab1e0a ↗
10. 10.1016/j.pmatsci.2017.07.00410.1016/j.pmatsci.2017.07.004 ↗
11. 10.1021/acsnano.9b0684710.1021/acsnano.9b06847 ↗
12. 10.1002/smll.20200654210.1002/smll.202006542 ↗
13. 10.1126/science.aag287910.1126/science.aag2879 ↗
14. 10.1088/2053-1583/aacba610.1088/2053-1583/aacba6 ↗
15. 10.1136/bjsports-2017-09769910.1136/bjsports-2017-097699 ↗
16. Annual Report, Graphene Flagship, 2019. https://graphene-flagship.eu:443/project/annual-reports.
17. 10.1038/nnano.2008.21510.1038/nnano.2008.215 ↗
18. 10.1021/la201797h10.1021/la201797h ↗
19. 10.1021/nn503454h10.1021/nn503454h ↗
20. 10.1039/C7NR09247D10.1039/C7NR09247D ↗
21. 10.1038/nnano.2013.4610.1038/nnano.2013.46 ↗
22. 10.1088/2053-1583/aac05510.1088/2053-1583/aac055 ↗
23. 10.1038/nature0496910.1038/nature04969 ↗
24. 10.1021/acsanm.0c0236210.1021/acsanm.0c02362 ↗
25. 10.1021/acsami.5b0160810.1021/acsami.5b01608 ↗
26. 10.1002/smll.20140353210.1002/smll.201403532 ↗
27. 10.1021/acsapm.0c0051010.1021/acsapm.0c00510 ↗
28. Heinrich G. · 2002 · 1