journal article·2025-07Open access

2D Material‐Based Injectable Sensor for Minimally‐Invasive Cerebral Blood Flow Monitoring

Kyungtai Park, Juyeong Hong, Hongseong Shin, Jonggyu Choi, Duo Xu, Jaedo Lee, Jeehoon Ryu, Seungsoo Kim, Hyerin Jeong, Junhyeok Choe, Seungmin Yang, Sunggu Yang, Jong‐Hyun Ahn

Small· Volume 21· Issue 30

Abstract

Abstract Monitoring cerebral blood flow is an important method for diagnosing and treating brain diseases. Thermal transport caused by blood flow provides valuable information for detecting abnormalities in blood flow. Here, a minimally invasive, injectable blood flow sensor is reported, consisting of a flexible, graphene‐based thin film heater and MoS2‐based temperature sensor array integrated on a mesh‐structured polymer substrate. Upon injection through a small skull hole in the skull, the device unfolds and achieves conformal contact on the cortical surface, aligning with the target vessel. By measuring temperature variations in response to the heater activation, the injectable sensor continuously monitors blood flow changes in the underlying vessel. This approach offers a new potential for cerebral blood flow sensing via minimally invasive implantation.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Memory and Neural Computing · Neuroscience and Neural Engineering

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

Affiliations

School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea

Department of Nanobioengineering Incheon National University Incheon 22012 Republic of Korea

Center for Brain‐Machine Interface Incheon National University Incheon 22012 Republic of Korea

gBrain Inc. Incheon 21984 Republic of Korea

Funding

Ministry of Trade, Industry and Energy

References (47)

Show source-provided references
1. 10.1152/physrev.00022.202010.1152/physrev.00022.2020 ↗
2. 10.1007/s10571-015-0261-z10.1007/s10571-015-0261-z ↗
3. 10.1038/nrn.2017.4810.1038/nrn.2017.48 ↗
4. 10.1007/s11910-016-0672-310.1007/s11910-016-0672-3 ↗
5. 10.1136/jnnp-2016-31438510.1136/jnnp-2016-314385 ↗
6. 10.1038/nrneurol.2017.10410.1038/nrneurol.2017.104 ↗
7. 10.1016/j.brainres.2012.06.04910.1016/j.brainres.2012.06.049 ↗
8. 10.1016/j.wneu.2022.12.04810.1016/j.wneu.2022.12.048 ↗
9. 10.1038/s41467-022-30594-z10.1038/s41467-022-30594-z ↗
10. 10.1038/s41586-024-07381-510.1038/s41586-024-07381-5 ↗
11. 10.1038/s41467-019-13523-510.1038/s41467-019-13523-5 ↗
12. 10.1038/s41551-021-00697-x10.1038/s41551-021-00697-x ↗
13. 10.1126/sciadv.abi928310.1126/sciadv.abi9283 ↗
14. Zhou S. · Nat. Biomed. Eng. · 2024
15. 10.1055/s-0041-173127810.1055/s-0041-1731278 ↗
16. 10.1177/0271678X1663114910.1177/0271678X16631149 ↗
17. 10.1063/1.366970510.1063/1.3669705 ↗
18. 10.3171/2010.6.JNS09136010.3171/2010.6.JNS091360 ↗
19. 10.1016/j.bios.2022.11414510.1016/j.bios.2022.114145 ↗
20. 10.1126/scitranslmed.aat843710.1126/scitranslmed.aat8437 ↗
21. 10.1126/sciadv.150070110.1126/sciadv.1500701 ↗
22. 10.1038/s41467-024-54942-310.1038/s41467-024-54942-3 ↗
23. 10.1002/smtd.20230003210.1002/smtd.202300032 ↗
24. 10.1038/nature1649210.1038/nature16492 ↗
25. 10.1126/sciadv.abg783310.1126/sciadv.abg7833 ↗
26. 10.1038/nnano.2015.11510.1038/nnano.2015.115 ↗
27. 10.1038/s41928-024-01216-x10.1038/s41928-024-01216-x ↗
28. 10.1002/adma.20240026110.1002/adma.202400261 ↗
29. 10.1126/scirobotics.add100210.1126/scirobotics.add1002 ↗
30. 10.1002/adma.20231415810.1002/adma.202314158 ↗
31. 10.1016/j.esci.2024.10032410.1016/j.esci.2024.100324 ↗
32. 10.1002/adma.20230087610.1002/adma.202300876 ↗
33. 10.1038/s41586-024-07334-y10.1038/s41586-024-07334-y ↗
34. 10.1021/acsabm.2c0003110.1021/acsabm.2c00031 ↗
35. 10.1088/0957-4484/26/27/27400510.1088/0957-4484/26/27/274005 ↗
36. 10.1126/sciadv.abm669310.1126/sciadv.abm6693 ↗
37. 10.1038/s41467-018-03956-910.1038/s41467-018-03956-9 ↗
38. 10.1021/nl202311v10.1021/nl202311v ↗
39. 10.1021/acs.nanolett.2c0134410.1021/acs.nanolett.2c01344 ↗
40. 10.1002/adma.20200585810.1002/adma.202005858 ↗
41. 10.1038/s41598-022-14279-710.1038/s41598-022-14279-7 ↗
42. 10.1002/brx2.510.1002/brx2.5 ↗
43. US FOOD AND DRUG ADMINISTRATION et al.Testing and labeling medical devices for safety in the magnetic resonance (MR) environment: Guidance for industry and Food and Drug Administration Staff. Federal Register2021.
44. 10.1089/neu.2008.061610.1089/neu.2008.0616 ↗
45. 10.1007/s10237-010-0212-z10.1007/s10237-010-0212-z ↗
46. 10.1111/j.1471-4159.1993.tb07437.x10.1111/j.1471-4159.1993.tb07437.x ↗
47. 10.1016/j.expneurol.2018.07.00410.1016/j.expneurol.2018.07.004 ↗