Coco Stretch: Strain Sensors Based on Natural Coconut Oil and Carbon Black Filled Elastomers
Source abstract
Abstract
Abstract A biocompatible inexpensive strain sensor constituting of an elastomer filled with natural coconut oil (CNO) and carbon black (CB) is presented here. Strain sensors are widely utilized for applications in human activity recognition, health monitoring, and soft robotics. Given that these sensors are envisioned to be present in a plethora of fields, it is important that they are low cost, reliable, biocompatible, and eco‐friendly. This work demonstrates that CNO can be used to create conductive percolation network in elastomers, without the necessity for harmful chemicals or expensive machinery. The sensor has a gauge factor of 0.77 ± 0.01, and the sensing material has a porous morphology filled with an oily suspension formed of CNO and CB. Results indicate that the liquid filled porous structure can improve the reliability of these resistive strain sensors in comparison to sensors fabricated utilizing commonly used non‐polar solvents such as heptane. Consequently, the sensor demonstrates a hysteresis of only 2.41% at 200% strain over 250 stretch/release cycles. Finally, to demonstrate the potential of this fabrication technique, a functionalized glove is developed and used to detect wrist motion. These easily manufacturable and cost‐effective sensors enable wearable on‐skin ergonomic intervention systems with minimal impact on the environment.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Electrospun Nanofibers in Biomedical Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Sensor Technology Research Centre University of Sussex Falmer Brighton BN1 9QT UK
School of Pharmacy and Biomolecular Sciences University of Brighton Lewes Road Brighton BN2 4GJ UK
Faculty of Science and Technology Free University of Bozen‐Bolzano Bolzano 39100 Italy
Funding
Engineering and Physical Sciences Research Council · National Institute on Handicapped Research
References (66)
Show source-provided references
1. 10.1021/acsnano.7b0489810.1021/acsnano.7b04898 ↗
2. 10.1002/adma.20080178810.1002/adma.200801788 ↗
3. 10.1002/aelm.20140003810.1002/aelm.201400038 ↗
4. 10.1038/s41467-019-13461-210.1038/s41467-019-13461-2 ↗
5. 10.1002/adma.20180107210.1002/adma.201801072 ↗
6. 10.1038/s41563-020-0699-310.1038/s41563-020-0699-3 ↗
7. 10.1002/adma.20190355810.1002/adma.201903558 ↗
8. 10.1002/adfm.20190668310.1002/adfm.201906683 ↗
9. 10.1109/JPROC.2012.219016810.1109/JPROC.2012.2190168 ↗
10. 10.1002/adma.20190344610.1002/adma.201903446 ↗
11. 10.1021/acsami.7b0815310.1021/acsami.7b08153 ↗
12. Spina F. · 2019 · 1
13. 10.1002/adma.20140033410.1002/adma.201400334 ↗
14. 10.1002/admt.20170013610.1002/admt.201700136 ↗
15. 10.1021/acsami.8b0477510.1021/acsami.8b04775 ↗
16. Mattmann C. · 2007 · 29
17. Lugoda P. · 2019 · 13310.1145/3341162.3343846 ↗
18. 10.1088/0957-4484/26/37/37550110.1088/0957-4484/26/37/375501 ↗
19. 10.1039/C4NR03295K10.1039/C4NR03295K ↗
20. 10.3390/s1712270810.3390/s17122708 ↗
21. 10.1126/sciadv.aay321010.1126/sciadv.aay3210 ↗
22. 10.1002/adma.20160641110.1002/adma.201606411 ↗
23. Mack M. · 2019 · 1195
24. 10.1002/adma.20150423910.1002/adma.201504239 ↗
25. 10.3390/technologies702003510.3390/technologies7020035 ↗
26. 10.1002/adma.20100215910.1002/adma.201002159 ↗
27. 10.1002/adma.20140344110.1002/adma.201403441 ↗
28. 10.1016/j.carbpol.2019.01.09410.1016/j.carbpol.2019.01.094 ↗
29. 10.1021/acsami.6b1519510.1021/acsami.6b15195 ↗
30. 10.1126/science.aag287910.1126/science.aag2879 ↗
31. 10.1088/1361-665X/aa79c310.1088/1361-665X/aa79c3 ↗
32. 10.1039/c3ta00079f10.1039/c3ta00079f ↗
33. 10.1016/j.sna.2018.09.01710.1016/j.sna.2018.09.017 ↗
34. 10.1088/1468-6996/16/1/01500310.1088/1468-6996/16/1/015003 ↗
35. 10.1016/j.sna.2015.12.03010.1016/j.sna.2015.12.030 ↗
36. 10.1002/adfm.20150522310.1002/adfm.201505223 ↗
37. 10.1002/admt.20190030910.1002/admt.201900309 ↗
38. 10.1002/admt.20170028410.1002/admt.201700284 ↗
39. 10.1002/adma.20170658910.1002/adma.201706589 ↗
40. 10.1002/smll.20180512010.1002/smll.201805120 ↗
41. 10.1002/adfm.20180788210.1002/adfm.201807882 ↗
42. 10.1021/acsami.5b0931410.1021/acsami.5b09314 ↗
43. 10.1002/smll.20170065110.1002/smll.201700651 ↗
44. 10.1016/j.sna.2016.06.03710.1016/j.sna.2016.06.037 ↗
45. 10.1038/nnano.2012.20610.1038/nnano.2012.206 ↗
46. 10.1002/aelm.20140006310.1002/aelm.201400063 ↗
47. 10.1021/nn501204t10.1021/nn501204t ↗
48. 10.1038/nnano.2011.3610.1038/nnano.2011.36 ↗
49. 10.1109/JSEN.2015.246231410.1109/JSEN.2015.2462314 ↗
50. 10.1002/adfm.20160199510.1002/adfm.201601995 ↗
51. 10.1016/j.polymertesting.2012.03.00610.1016/j.polymertesting.2012.03.006 ↗
52. 10.1021/acsami.6b1241510.1021/acsami.6b12415 ↗
53. 10.1016/j.carbon.2014.05.02210.1016/j.carbon.2014.05.022 ↗
54. 10.4314/gmj.v50i3.1110.4314/gmj.v50i3.11 ↗
55. 10.1109/TDEI.2013.651895810.1109/TDEI.2013.6518958 ↗
56. Bhattacharyya R. · 2019 · 1
57. Roggen D. · 2018 · 177
58. 10.1002/polb.1057110.1002/polb.10571 ↗
59. 10.1145/331197210.1145/3311972 ↗
60. Lin Q. · 2020 · 49
61. 10.1109/JSEN.2018.288563810.1109/JSEN.2018.2885638 ↗
62. 10.1016/S1474-4422(16)30231-910.1016/S1474-4422(16)30231-9 ↗
63. 10.1186/s13018-018-0999-310.1186/s13018-018-0999-3 ↗
64. 10.3390/s2014399810.3390/s20143998 ↗
65. 10.1109/MPUL.2015.249847410.1109/MPUL.2015.2498474 ↗
66. 10.1016/j.cherd.2010.01.02610.1016/j.cherd.2010.01.026 ↗