journal article·2024-10

A Current Development of Energy Harvesting Systems for Energy‐Independent Bioimplantable Biosensors

Hyojeong Choi, Swarup Biswas, Philippe Lang, Jin‐Hyuk Bae, Hyeok Kim

Small· Volume 20· Issue 43
Publisher page

Abstract

Abstract Biosensors have emerged as vital tools for the detection and monitoring of essential biological information. However, their efficiency is often constrained by limitations in the power supply. To address this challenge, energy harvesting systems have gained prominence. These off‐grid, independent systems harness energy from the surrounding environment, providing a sustainable solution for powering biosensors autonomously. This continuous power source overcomes critical constraints, ensuring uninterrupted operation and seamless data collection. In this article, a comprehensive review of recent literature on energy harvesting‐based biosensors is presented. Various techniques and technologies are critically examined, including optical, mechanical, thermal, and wireless power transfer, focusing on their applications and optimization. Furthermore, the immense potential of these energy harvesting‐driven biosensors is highlighted across diverse fields, such as medicine, environmental surveillance, and biosignal analysis. By exploring the integration of energy harvesting systems, this review underscores their pivotal role in advancing biosensor technology. These innovations promise improved efficiency, reduced environmental impact, and broader applicability, marking significant progress in the field of biosensors.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Energy Harvesting in Wireless Networks · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical and Computer Engineering Center for Smart Sensor System of Seoul (CS4) University of Seoul 163 Seoulsiripdaero, Dongdaemun‐gu Seoul 02504 Republic of Korea

ITODYS University of Paris CNRS UMR 7086 15 rue Jean‐Antoine de Baif Paris CEDEX 13 75205 France

School of Electronic and Electrical Engineering Kyungpook National University Daegu 41566 Republic of Korea

Funding

National Research Foundation of Korea

References (71)

Show source-provided references
1. 10.1038/s41551-021-00734-910.1038/s41551-021-00734-9 ↗
2. 10.1038/s41467-022-29087-w10.1038/s41467-022-29087-w ↗
3. 10.1002/adsr.20220005210.1002/adsr.202200052 ↗
4. 10.1038/nature2100410.1038/nature21004 ↗
5. 10.1021/acs.chemrev.8b0057310.1021/acs.chemrev.8b00573 ↗
6. 10.1038/s41587-019-0045-y10.1038/s41587-019-0045-y ↗
7. 10.1038/s41928-021-00545-510.1038/s41928-021-00545-5 ↗
8. 10.3390/s2104110910.3390/s21041109 ↗
9. 10.1016/j.jiec.2022.02.01010.1016/j.jiec.2022.02.010 ↗
10. 10.1126/science.120615710.1126/science.1206157 ↗
11. 10.1373/jalm.2016.02163410.1373/jalm.2016.021634 ↗
12. 10.1038/s41578-022-00441-010.1038/s41578-022-00441-0 ↗
13. 10.1039/D1EE01530C10.1039/D1EE01530C ↗
14. A. H.de laIglesia F. L.Alejano A. J. L.Rivero D. H.de laIglesia inInt. Conf. on Disruptive Technologies Tech Ethics and Artificial Intelligence Springer Berlin2023 pp.271–279.10.1007/978-3-031-38344-1_26 ↗
15. 10.1002/inf2.1211710.1002/inf2.12117 ↗
16. 10.1038/s41378-021-00248-z10.1038/s41378-021-00248-z ↗
17. 10.1021/accountsmr.1c0000210.1021/accountsmr.1c00002 ↗
18. 10.3390/en1412336710.3390/en14123367 ↗
19. 10.1088/1361-6439/ac168e10.1088/1361-6439/ac168e ↗
20. 10.3390/s2111380610.3390/s21113806 ↗
21. 10.3390/molecules2603074810.3390/molecules26030748 ↗
22. 10.1002/VIW.2022005910.1002/VIW.20220059 ↗
23. 10.1109/LED.2023.330037110.1109/LED.2023.3300371 ↗
24. 10.1016/j.nanoen.2020.10565010.1016/j.nanoen.2020.105650 ↗
25. 10.1038/s41467-018-03386-710.1038/s41467-018-03386-7 ↗
26. 10.3390/nano1319265010.3390/nano13192650 ↗
27. 10.1038/s41566-023-01366-y10.1038/s41566-023-01366-y ↗
28. 10.1002/aenm.20210239710.1002/aenm.202102397 ↗
29. 10.1038/s41598-022-22128-w10.1038/s41598-022-22128-w ↗
30. 10.1002/aenm.20180290610.1002/aenm.201802906 ↗
31. 10.1038/s41467-019-09461-x10.1038/s41467-019-09461-x ↗
32. 10.1021/acsnano.0c0980310.1021/acsnano.0c09803 ↗
33. 10.1007/s40544-018-0217-710.1007/s40544-018-0217-7 ↗
34. 10.1002/admt.20180058810.1002/admt.201800588 ↗
35. 10.1016/j.nanoen.2019.05.05710.1016/j.nanoen.2019.05.057 ↗
36. 10.1038/s41427-023-00528-210.1038/s41427-023-00528-2 ↗
37. 10.1016/j.cej.2023.14242710.1016/j.cej.2023.142427 ↗
38. 10.1002/VIW.2023000510.1002/VIW.20230005 ↗
39. 10.1088/0964-1726/16/3/R0110.1088/0964-1726/16/3/R01 ↗
40. Uchino K. · 2017 · 1
41. 10.1038/s41598-019-53713-110.1038/s41598-019-53713-1 ↗
42. 10.1126/science.aan399710.1126/science.aan3997 ↗
43. 10.1002/adfm.20230002710.1002/adfm.202300027 ↗
44. 10.1002/adhm.20210061410.1002/adhm.202100614 ↗
45. 10.1109/TAP.2023.328416310.1109/TAP.2023.3284163 ↗
46. 10.1016/j.bios.2023.11565010.1016/j.bios.2023.115650 ↗
47. 10.1002/admt.20210108610.1002/admt.202101086 ↗
48. 10.1007/978-1-4614-7153-010.1007/978-1-4614-7153-0 ↗
49. 10.1109/JSEN.2016.263397310.1109/JSEN.2016.2633973 ↗
50. T.Denning A.Borning B.Friedman B. T.Gill T.Kohno W. H.Maisel inProceedings of the SIGCHI Conf. on Human Factors in Computing Systems ACM New York2010 pp.917–926.10.1145/1753326.1753462 ↗
51. 10.1586/erd.11.1610.1586/erd.11.16 ↗
52. 10.3390/s2012348710.3390/s20123487 ↗
53. 10.1002/SMMD.2022001610.1002/SMMD.20220016 ↗
54. 10.1002/adfm.20220102110.1002/adfm.202201021 ↗
55. 10.1002/adma.20210299010.1002/adma.202102990 ↗
56. 10.1002/smll.20190282710.1002/smll.201902827 ↗
57. 10.1088/0022-3727/40/18/04210.1088/0022-3727/40/18/042 ↗
58. 10.1002/2050-7038.1302010.1002/2050-7038.13020 ↗
59. 10.1016/j.energy.2016.01.05510.1016/j.energy.2016.01.055 ↗
60. 10.1063/1.294759110.1063/1.2947591 ↗
61. Magno M. · Sensors · 2019 · 192747
62. 10.1038/srep0212310.1038/srep02123 ↗
63. 10.1021/acsami.8b0163510.1021/acsami.8b01635 ↗
64. 10.1002/advs.20180105410.1002/advs.201801054 ↗
65. 10.1587/elex.16.2019006610.1587/elex.16.20190066 ↗
66. 10.1002/admi.20220046810.1002/admi.202200468 ↗
67. 10.1016/j.mtphys.2020.10029510.1016/j.mtphys.2020.100295 ↗
68. 10.1016/j.mser.2023.10076310.1016/j.mser.2023.100763 ↗
69. 10.1016/j.bios.2016.10.09510.1016/j.bios.2016.10.095 ↗
70. 10.1038/s41598-022-18000-610.1038/s41598-022-18000-6 ↗
71. T.Janes in2021 43rd Annu. Int. Conf. of the IEEE Engineering in Medicine & Biology Society (EMBC) IEEE Piscataway NJ2021: pp.1547–1550.10.1109/EMBC46164.2021.9630243 ↗