journal article·2024-09-13

Highly Efficient and Rapid Surface-Enhanced Raman Spectroscopy Active Platform Based on Au Nanorods for Ultrasensitive Traumatic Brain Injury Detection

Feng Gao, Yanjiao Wang, Minyue Wang, Chengcheng Wang, Tianwei Wang, Jingguo Wu, Qingbin Ni, Baoliang Sun, Jingyi Sun, Ying Wang

ACS Applied Nano Materials· Volume 7· Issue 17
Publisher page

Abstract

Traumatic brain injury (TBI), serving as a global health problem, is the primary cause of death and disability. However, the lack of a simple, accurate, and rapid method to diagnose and distinguish the injury severity of TBI in the acute phase and further improve the prognosis has been plaguing clinicians. To solve this problem, a highly sensitive surface-enhanced Raman spectroscopy (SERS) sensor, which was based on gold nanorod (AuNR) arrays, has been designed for the quantitative determination of TBI biomarkers. To create this effective SERS sensor, the AuNRs were fabricated via optimizing the particle morphology and, by evaporative self-assembly, optimizing AuNRs were assembled on microsilicon wafers to form AuNR array platforms with an enhancement factor of 1.24 × 10 6 and a limit of detection reaching 10 –2 fg·mL –1 . The ideal SERS sensors were further proven to have excellent sensitivity and reliability after being employed to analyze the various levels of S100β and IL-10 both in animal model blood samples and human blood samples. All results revealed that our biosensors can be a promising strategy for point-of-care clinical diagnosis and TBI severity distinction.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Traumatic Brain Injury and Neurovascular Disturbances · Advanced Nanomaterials in Catalysis · Spectroscopy Techniques in Biomedical and Chemical Research

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

Affiliations

Second Affiliated Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong 271000, China

Department of Neurology, Renmin Hospital of Wuhan University & Center for Neurodegenerative Disease Research, Wuhan 430060, China

Postdoctoral Workstation, Taian Central Hospital, Taian 271000, Shandong, China

Shandong Provincial Hospital Affiliated to Shandong First Medical University& Shandong Academy of Medical Sciences, Jinan 250021, China

Funding

Shandong First Medical University · Shandong Academy of Medical Sciences · Taishan Scholar Project of Shandong Province · Natural Science Foundation of Shandong Province

References (44)

Show source-provided references
1. 10.1111/joim.1290010.1111/joim.12900 ↗
2. 10.1038/s41598-020-70266-w10.1038/s41598-020-70266-w ↗
3. 10.1016/j.neuron.2019.06.00210.1016/j.neuron.2019.06.002 ↗
4. 10.1016/s1474-4422(18)30499-x10.1016/s1474-4422(18)30499-x ↗
5. 10.1001/jamaneurol.2014.355810.1001/jamaneurol.2014.3558 ↗
6. 10.1016/j.neuron.2012.11.02110.1016/j.neuron.2012.11.021 ↗
7. 10.1086/66545710.1086/665457 ↗
8. 10.4103/0253-7176.18308610.4103/0253-7176.183086 ↗
9. 10.1016/j.metabol.2019.07.00710.1016/j.metabol.2019.07.007 ↗
10. 10.1016/j.eplepsyres.2018.07.01210.1016/j.eplepsyres.2018.07.012 ↗
11. 10.1016/j.nbd.2018.07.01810.1016/j.nbd.2018.07.018 ↗
12. 10.1016/j.ebiom.2018.01.02110.1016/j.ebiom.2018.01.021 ↗
13. 10.3171/2019.9.FOCUS1965210.3171/2019.9.FOCUS19652 ↗
14. 10.1111/acem.1301410.1111/acem.13014 ↗
15. 10.1016/s1474-4422(17)30371-x10.1016/s1474-4422(17)30371-x ↗
16. 10.1002/jnr.2121110.1002/jnr.21211 ↗
17. 10.1038/nrneurol.2013.910.1038/nrneurol.2013.9 ↗
18. 10.3389/fneur.2017.0024410.3389/fneur.2017.00244 ↗
19. 10.1038/aps.2018.2910.1038/aps.2018.29 ↗
20. 10.1021/ac071304810.1021/ac0713048 ↗
21. 10.1016/j.bios.2020.11248610.1016/j.bios.2020.112486 ↗
22. 10.1021/ac503672f10.1021/ac503672f ↗
23. 10.1021/jacs.6b0386910.1021/jacs.6b03869 ↗
24. 10.1021/nn406569210.1021/nn4065692 ↗
25. 10.1021/acsnano.1c0717610.1021/acsnano.1c07176 ↗
26. 10.1002/anie.20140855810.1002/anie.201408558 ↗
27. 10.1007/s00216-019-01929-510.1007/s00216-019-01929-5 ↗
28. 10.1021/acs.analchem.8b0029210.1021/acs.analchem.8b00292 ↗
29. 10.7150/thno.4429810.7150/thno.44298 ↗
30. 10.1039/C9AN01579E10.1039/C9AN01579E ↗
31. 10.1039/D2NH00023G10.1039/D2NH00023G ↗
32. 10.1021/acs.analchem.5b0373510.1021/acs.analchem.5b03735 ↗
33. 10.1021/cr300120g10.1021/cr300120g ↗
34. 10.1038/s41551-019-0510-410.1038/s41551-019-0510-4 ↗
35. 10.1016/j.bios.2021.11296710.1016/j.bios.2021.112967 ↗
36. 10.1016/j.saa.2019.11728210.1016/j.saa.2019.117282 ↗
37. 10.1016/j.bios.2016.09.09010.1016/j.bios.2016.09.090 ↗
38. 10.1007/s12274-022-5214-510.1007/s12274-022-5214-5 ↗
39. 10.2217/nnm-2018-040910.2217/nnm-2018-0409 ↗
40. 10.1021/acsami.7b1934710.1021/acsami.7b19347 ↗
41. 10.1002/adhm.20180031510.1002/adhm.201800315 ↗
42. 10.1038/jcbfm.2013.14610.1038/jcbfm.2013.146 ↗
43. 10.1039/C7NR05057G10.1039/C7NR05057G ↗
44. 10.1021/acssensors.9b0003110.1021/acssensors.9b00031 ↗