Self‐Powered Wireless System for Monitoring Sweat Electrolytes in Personalized Healthcare Wearables
Source abstract
Abstract
Abstract The demand for non‐invasive health monitoring with wearables poses challenges in developing sustainable, self‐powered systems, as current energy harvesters face issues like complex fabrication, low robustness, and insufficient power density for continuous biosensing. In this study, a wearable self‐powered biosensing platform combining a electromagnetic‐triboelectric hybrid generator (ETHG) with an advanced electrochemical sweat‐ion‐sensing patch is proposed. A Halbach magnet array within the electromagnetic generator (EMG) enhances magnetic flux concentration and power output, while advanced Nylon@polyallylamine and polyvinylidene fluoride@Co 3 O 4 nanofiber films significantly boost the triboelectric generator's performance. Mechanical and theoretical modeling reveals an optimized power output of 328 mW for the EMG and 0.65 mW for the triboelectric component at 6 Hz. This hybrid approach not only enhances the power density but also simplifies the fabrication process and improves the charging performance and robustness of the system. To address potential drift in solid‐contact ion‐selective electrodes, nanoporous carbon ‐modified electrodes increase hydrophobicity, enhancing sensitivity for Na + (56.1 mV dec −1 ), K + (55.2 mV dec −1 ), and Ca 2+ (30.8 mV dec −1 ), along with excellent performance in pH (69.7 mV dec −1 ) sensing. Integrating ETHG with a flexible microfluidics‐enabled patch enables real‐time on‐body sweat monitoring, with data wirelessly transmitted via Bluetooth, offering an efficient and robust platform for continuous health monitoring applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Innovative Energy Harvesting Technologies · Advanced Chemical Sensor Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electronic Engineering Kwangwoon University 447‐1 Seoul 139‐701 Republic of Korea
Human IoT Focused Research center Kwangwoon University 447‐1 Seoul 139‐701 Republic of Korea
SnE Solution Co. Ltd 447‐1 Seoul 139‐701 Republic of Korea
Funding
National Research Foundation of Korea
References (65)
Show source-provided references
1. 10.1021/acssensors.9b0089110.1021/acssensors.9b00891 ↗
2. 10.1016/j.bios.2020.11275010.1016/j.bios.2020.112750 ↗
3. 10.1002/aenm.20130132210.1002/aenm.201301322 ↗
4. 10.1021/acsnano.6b0329310.1021/acsnano.6b03293 ↗
5. 10.1002/adfm.20200327610.1002/adfm.202003276 ↗
6. 10.1016/j.esr.2023.10112410.1016/j.esr.2023.101124 ↗
7. 10.1016/j.mee.2023.11199210.1016/j.mee.2023.111992 ↗
8. 10.1002/adfm.20180453310.1002/adfm.201804533 ↗
9. 10.1007/s12274-015-0827-610.1007/s12274-015-0827-6 ↗
10. 10.1016/j.nanoen.2017.03.04710.1016/j.nanoen.2017.03.047 ↗
11. 10.1126/sciadv.aay984210.1126/sciadv.aay9842 ↗
12. 10.1002/aenm.20150159310.1002/aenm.201501593 ↗
13. 10.1021/acsnano.6b0662210.1021/acsnano.6b06622 ↗
14. 10.1021/acsnano.5b0559810.1021/acsnano.5b05598 ↗
15. 10.1002/smll.20210722110.1002/smll.202107221 ↗
16. 10.1002/aenm.20160170510.1002/aenm.201601705 ↗
17. 10.1016/j.nanoen.2018.08.05510.1016/j.nanoen.2018.08.055 ↗
18. 10.1039/C8NR09978B10.1039/C8NR09978B ↗
19. 10.1016/j.nanoen.2019.10392610.1016/j.nanoen.2019.103926 ↗
20. Wu Z. · ACS Nano · 2019 · 13 · 2349
21. 10.1002/smtd.20220065310.1002/smtd.202200653 ↗
22. 10.1016/j.nanoen.2018.12.05210.1016/j.nanoen.2018.12.052 ↗
23. 10.1007/s12274-018-1978-z10.1007/s12274-018-1978-z ↗
24. 10.1021/acsnano.5b0147810.1021/acsnano.5b01478 ↗
25. Shen Y. · Conf. Electr. Mach. Syst. · 2018 · 927
26. 10.1088/0964-1726/25/9/09501710.1088/0964-1726/25/9/095017 ↗
27. 10.1088/0964-1726/21/12/12502410.1088/0964-1726/21/12/125024 ↗
28. 10.1016/j.nanoen.2022.10746210.1016/j.nanoen.2022.107462 ↗
29. 10.1016/j.nanoen.2019.01.03810.1016/j.nanoen.2019.01.038 ↗
30. 10.1021/acsnano.6b0207610.1021/acsnano.6b02076 ↗
31. 10.1021/acsami.0c1751210.1021/acsami.0c17512 ↗
32. 10.1021/acsami.8b2014310.1021/acsami.8b20143 ↗
33. 10.1039/C9TA02711D10.1039/C9TA02711D ↗
34. 10.1016/j.nanoen.2022.10745410.1016/j.nanoen.2022.107454 ↗
35. 10.1002/adfm.20180765510.1002/adfm.201807655 ↗
36. 10.1002/adfm.20191016210.1002/adfm.201910162 ↗
37. 10.1016/j.nanoen.2018.01.02110.1016/j.nanoen.2018.01.021 ↗
38. 10.1016/j.bios.2021.11328710.1016/j.bios.2021.113287 ↗
39. 10.1016/j.nanoen.2021.10630010.1016/j.nanoen.2021.106300 ↗
40. 10.1016/j.enconman.2018.10.06010.1016/j.enconman.2018.10.060 ↗
41. 10.1002/aenm.20220223810.1002/aenm.202202238 ↗
42. 10.1038/s41928-024-01236-710.1038/s41928-024-01236-7 ↗
43. 10.1038/s41551-023-01059-510.1038/s41551-023-01059-5 ↗
44. 10.1021/acssensors.4c0052810.1021/acssensors.4c00528 ↗
45. Mishra A. · Clin. Biochem. Rev. · 2005 · 26 · 135
46. 10.1038/nature1652110.1038/nature16521 ↗
47. 10.1002/adfm.20210704210.1002/adfm.202107042 ↗
48. 10.1021/acsnano.3c1303510.1021/acsnano.3c13035 ↗
49. 10.1016/j.bios.2020.11222010.1016/j.bios.2020.112220 ↗
50. 10.1109/JSEN.2021.307529710.1109/JSEN.2021.3075297 ↗
51. 10.1002/admt.20190103710.1002/admt.201901037 ↗
52. 10.1016/j.trac.2018.11.02410.1016/j.trac.2018.11.024 ↗
53. 10.1039/C9CS00587K10.1039/C9CS00587K ↗
54. 10.1109/JSEN.2021.307431110.1109/JSEN.2021.3074311 ↗
55. 10.1016/j.sna.2021.11332010.1016/j.sna.2021.113320 ↗
56. 10.1002/adma.20210089910.1002/adma.202100899 ↗
57. 10.1016/j.bios.2020.11284410.1016/j.bios.2020.112844 ↗
58. 10.1021/acsami.3c1667610.1021/acsami.3c16676 ↗
59. 10.1016/j.mtener.2023.10139310.1016/j.mtener.2023.101393 ↗
60. 10.1016/j.nanoen.2022.10771310.1016/j.nanoen.2022.107713 ↗
61. 10.1007/s00339-021-04498-610.1007/s00339-021-04498-6 ↗
62. 10.3390/polym1509223210.3390/polym15092232 ↗
63. 10.1016/j.cej.2021.13209510.1016/j.cej.2021.132095 ↗
64. 10.1021/acsnano.6b0400510.1021/acsnano.6b04005 ↗
65. 10.1016/j.elecom.2009.06.02510.1016/j.elecom.2009.06.025 ↗