journal article·2023-03Open access

Toward Plasmonic Neural Probes: SERS Detection of Neurotransmitters through Gold‐Nanoislands‐Decorated Tapered Optical Fibers with Sub‐10 nm Gaps

Di Zheng, Filippo Pisano, Liam Collard, Antonio Balena, Marco Pisanello, Barbara Spagnolo, Rosa Mach‐Batlle, Francesco Tantussi, Luigi Carbone, Francesco De Angelis, Manuel Valiente, Liset M. de la Prida, Cristian Ciracì, Massimo De Vittorio, Ferruccio Pisanello

Advanced Materials· Volume 35· Issue 11

Abstract

Abstract Integration of plasmonic nanostructures with fiber‐optics‐based neural probes enables label‐free detection of molecular fingerprints via surface‐enhanced Raman spectroscopy (SERS), and it represents a fascinating technological horizon to investigate brain function. However, developing neuroplasmonic probes that can interface with deep brain regions with minimal invasiveness while providing the sensitivity to detect biomolecular signatures in a physiological environment is challenging, in particular because the same waveguide must be employed for both delivering excitation light and collecting the resulting scattered photons. Here, a SERS‐active neural probe based on a tapered optical fiber (TF) decorated with gold nanoislands (NIs) that can detect neurotransmitters down to the micromolar range is presented. To do this, a novel, nonplanar repeated dewetting technique to fabricate gold NIs with sub‐10 nm gaps, uniformly distributed on the wide (square millimeter scale in surface area), highly curved surface of TF is developed. It is experimentally and numerically shown that the amplified broadband near‐field enhancement of the high‐density NIs layer allows for achieving a limit of detection in aqueous solution of 10−7 m for rhodamine 6G and 10−5 m for serotonin and dopamine through SERS at near‐infrared wavelengths. The NIs‐TF technology is envisioned as a first step toward the unexplored frontier of in vivo label‐free plasmonic neural interfaces.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Photoreceptor and optogenetics research · Molecular Communication and Nanonetworks

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

Affiliations

Istituto Italiano di Tecnologia Center for Biomolecular Nanotechnologies Arnesano, LE 73010 Italy

Istituto Italiano di Tecnologia Center for Convergent Technologies Genova 16163 Italy

CNR NANOTEC ‐ Institute of Nanotechnology University of Salento Lecce 73100 Italy

Brain Metastasis Group Spanish National Cancer Research Center (CNIO) Madrid 28029 Spain

Instituto Cajal CSIC Madrid 28002 Spain

Dipartimento di Ingegneria Dell'Innovazione Università del Salento Lecce 73100 Italy

References (82)

Show source-provided references
1. 10.1038/nn152510.1038/nn1525 ↗
2. 10.1038/nmeth.f.32410.1038/nmeth.f.324 ↗
3. 10.1016/j.neuron.2011.06.00410.1016/j.neuron.2011.06.004 ↗
4. 10.1146/annurev-neuro-061010-11381710.1146/annurev-neuro-061010-113817 ↗
5. 10.1088/1741-2560/4/3/S0210.1088/1741-2560/4/3/S02 ↗
6. 10.1038/nature0631010.1038/nature06310 ↗
7. 10.1038/s41592-019-0435-610.1038/s41592-019-0435-6 ↗
8. 10.1038/nmeth.139810.1038/nmeth.1398 ↗
9. 10.1523/JNEUROSCI.2601-12.201210.1523/JNEUROSCI.2601-12.2012 ↗
10. 10.1038/nmeth.233310.1038/nmeth.2333 ↗
11. 10.1021/acschembio.7b0108510.1021/acschembio.7b01085 ↗
12. 10.1038/s41592-018-0171-310.1038/s41592-018-0171-3 ↗
13. 10.1073/pnas.172064811510.1073/pnas.1720648115 ↗
14. 10.1038/s41592-019-0471-210.1038/s41592-019-0471-2 ↗
15. 10.1038/s41593-021-00823-710.1038/s41593-021-00823-7 ↗
16. 10.1126/science.aat442210.1126/science.aat4422 ↗
17. 10.1016/j.cell.2018.06.04210.1016/j.cell.2018.06.042 ↗
18. 10.1038/nbt.418410.1038/nbt.4184 ↗
19. 10.1016/j.neuron.2019.02.03710.1016/j.neuron.2019.02.037 ↗
20. 10.1038/srep4202210.1038/srep42022 ↗
21. 10.7554/eLife.2774410.7554/eLife.27744 ↗
22. 10.1038/s41592-019-0400-410.1038/s41592-019-0400-4 ↗
23. H.Adelsberger C.Grienberger A.Stroh A.Konnerth Cold Spring Harbor Protoc2014 http://cshprotocols.cshlp.org/content/2014/10/pdb.prot084145.full.pdf+html.10.1101/pdb.prot084145 ↗
24. Martianova E. · J. Visualized Exp. · 2019
25. 10.1073/pnas.171872111510.1073/pnas.1718721115 ↗
26. 10.1038/nn.435910.1038/nn.4359 ↗
27. 10.1146/annurev-anchem-062012-09264610.1146/annurev-anchem-062012-092646 ↗
28. 10.1038/s41583-022-00577-610.1038/s41583-022-00577-6 ↗
29. 10.1021/acsami.2c0274010.1021/acsami.2c02740 ↗
30. 10.1126/science.275.5303.110210.1126/science.275.5303.1102 ↗
31. 10.1103/PhysRevLett.78.166710.1103/PhysRevLett.78.1667 ↗
32. 10.1103/PhysRevLett.83.435710.1103/PhysRevLett.83.4357 ↗
33. 10.1038/nn150210.1038/nn1502 ↗
34. 10.1038/npp.2017.12210.1038/npp.2017.122 ↗
35. 10.1016/j.neuron.2014.04.04110.1016/j.neuron.2014.04.041 ↗
36. 10.1038/nn.459110.1038/nn.4591 ↗
37. 10.1038/s41563-022-01272-810.1038/s41563-022-01272-8 ↗
38. 10.1038/s41592-019-0581-x10.1038/s41592-019-0581-x ↗
39. 10.1002/adom.20210164910.1002/adom.202101649 ↗
40. 10.1088/1361-6528/aba57a10.1088/1361-6528/aba57a ↗
41. 10.1039/C6AN02414A10.1039/C6AN02414A ↗
42. 10.1021/acsami.8b1916110.1021/acsami.8b19161 ↗
43. 10.1039/C7FD00131B10.1039/C7FD00131B ↗
44. 10.1109/LPT.2014.230613410.1109/LPT.2014.2306134 ↗
45. 10.1039/C5RA18504A10.1039/C5RA18504A ↗
46. 10.1016/j.talanta.2018.11.01210.1016/j.talanta.2018.11.012 ↗
47. 10.3390/s2107230010.3390/s21072300 ↗
48. 10.3390/s1703046710.3390/s17030467 ↗
49. 10.1366/000370200194895210.1366/0003702001948952 ↗
50. 10.1007/s11468-015-0105-110.1007/s11468-015-0105-1 ↗
51. 10.1021/acsanm.9b0208110.1021/acsanm.9b02081 ↗
52. 10.1021/acschemneuro.7b0019310.1021/acschemneuro.7b00193 ↗
53. 10.1523/JNEUROSCI.18-13-04854.199810.1523/JNEUROSCI.18-13-04854.1998 ↗
54. 10.1046/j.1471-4159.1998.70031077.x10.1046/j.1471-4159.1998.70031077.x ↗
55. 10.1038/s41598-018-22790-z10.1038/s41598-018-22790-z ↗
56. 10.6028/jres.062.02310.6028/jres.062.023 ↗
57. 10.1063/1.170891310.1063/1.1708913 ↗
58. 10.1021/jp993328r10.1021/jp993328r ↗
59. 10.1021/la980620210.1021/la9806202 ↗
60. 10.1016/j.cbpa.2003.08.00710.1016/j.cbpa.2003.08.007 ↗
61. 10.1038/s41551-016-001010.1038/s41551-016-0010 ↗
62. 10.1111/j.1471-4159.1992.tb09298.x10.1111/j.1471-4159.1992.tb09298.x ↗
63. 10.1021/acs.analchem.7b0125710.1021/acs.analchem.7b01257 ↗
64. 10.1016/j.neubiorev.2009.04.00310.1016/j.neubiorev.2009.04.003 ↗
65. 10.1364/BOE.7.00081010.1364/BOE.7.000810 ↗
66. Fu X. · IEEE Photonics J. · 2021 · 13
67. 10.1117/1.JBO.24.3.03700110.1117/1.JBO.24.3.037001 ↗
68. 10.1021/acs.nanolett.8b0425310.1021/acs.nanolett.8b04253 ↗
69. 10.1016/j.chemolab.2017.09.00610.1016/j.chemolab.2017.09.006 ↗
70. 10.1523/JNEUROSCI.3064-16.201710.1523/JNEUROSCI.3064-16.2017 ↗
71. 10.1523/JNEUROSCI.0166-14.201410.1523/JNEUROSCI.0166-14.2014 ↗
72. 10.4155/tde.11.7210.4155/tde.11.72 ↗
73. 10.1002/lpor.20120000310.1002/lpor.201200003 ↗
74. 10.1021/acsnano.1c0098810.1021/acsnano.1c00988 ↗
75. 10.1016/j.biomaterials.2017.10.04110.1016/j.biomaterials.2017.10.041 ↗
76. 10.1002/smll.20220097510.1002/smll.202200975 ↗
77. 10.1016/j.cell.2020.03.03410.1016/j.cell.2020.03.034 ↗
78. 10.1515/nanoph-2020-020410.1515/nanoph-2020-0204 ↗
79. 10.1109/JLT.2017.270508110.1109/JLT.2017.2705081 ↗
80. 10.1021/acsphotonics.8b0002510.1021/acsphotonics.8b00025 ↗
81. Sileo L. · Proc. SPIE · 2015 · 930510.1117/12.2075819 ↗
82. 10.1103/PhysRevB.86.23514710.1103/PhysRevB.86.235147 ↗