Impact of metal crystallinity-related morphologies on the sensing performance of plasmonic nanohole arrays
Source abstract
Abstract
Plasmonic nanohole arrays for biosensing applications have attracted tremendous attention because of their flexibility in optical signature design, high multiplexing capabilities, simple optical alignment setup, and high sensitivity. The quality of the metal film, including metal crystallinity and surface roughness, plays an important role in determining the sensing performance because the interaction between free electrons in the metal and incident light is strongly influenced by the metal surface morphology. We systematically investigated the influence of metal crystallinity-related morphologies on the sensing performance of plasmonic nanohole arrays after different metal deposition processes. We utilised several non-destructive nanoscale surface characterisation techniques to perform a quantitative and comparative analysis of the Au quality of the fabricated sensor. We found empirically how the surface roughness and grain sizes influence the permittivity of the Au film and thus the sensitivity of the fabricated sensor. Finally we confirmed that the deposition conditions that provide both low surface roughness and large metal grain sizes improve the sensitivity of the plasmonic sensor.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Plasmonic and Surface Plasmon Research · Advanced biosensing and bioanalysis techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
St George and Sutherland Clinical School
UNSW Sydney
Australia
Electron Microscope Unit
School of Photovoltaic and Renewable Energy Engineering
School of Electrical and Data Engineering
University of Technology Sydney
School of Physics
Funding
Cancer Institute NSW · Ovarian Cancer Research Foundation
References (45)
Show source-provided references
1. Borisov · Chem. Rev. · 2008 · 108 · 42310.1021/cr068105t ↗
2. Long · Sensors · 2013 · 13 · 1392810.3390/s131013928 ↗
3. Cooper · Nat. Rev. Drug Discovery · 2002 · 1 · 51510.1038/nrd838 ↗
4. Brolo · Nat. Photonics · 2012 · 6 · 70910.1038/nphoton.2012.266 ↗
5. Estevez · Anal. Chim. Acta · 2014 · 806 · 5510.1016/j.aca.2013.10.048 ↗
6. Abbas · Biosens. Bioelectron. · 2011 · 26 · 181510.1016/j.bios.2010.09.030 ↗
7. Hinman · Anal. Chem. · 2018 · 90 · 1910.1021/acs.analchem.7b04251 ↗
8. Nguyen · Sensors · 2015 · 15 · 1048110.3390/s150510481 ↗
9. Willets · Annu. Rev. Phys. Chem. · 2007 · 58 · 26710.1146/annurev.physchem.58.032806.104607 ↗
10. Mayer · Chem. Rev. · 2011 · 111 · 382810.1021/cr100313v ↗
11. Stewart · Chem. Rev. · 2008 · 108 · 49410.1021/cr068126n ↗
12. Lindquist · Rep. Prog. Phys. · 2012 · 75 · 03650110.1088/0034-4885/75/3/036501 ↗
13. Prasad · Biosens. Bioelectron. · 2019 · 130 · 18510.1016/j.bios.2019.01.037 ↗
14. Tokel · Chem. Rev. · 2014 · 114 · 572810.1021/cr4000623 ↗
15. Ebbesen · Nature · 1998 · 391 · 66710.1038/35570 ↗
16. Belushkin · ACS Nano · 2018 · 12 · 445310.1021/acsnano.8b00519 ↗
17. Cetin · Light: Sci. Appl. · 2014 · 3 · 116710.1038/lsa.2014.3 ↗
18. Yesilkoy · Light: Sci. Appl. · 2018 · 7 · 1715210.1038/lsa.2017.152 ↗
19. Kim · Lab Chip · 2012 · 12 · 361110.1039/c2lc40498b ↗
20. Eftekhari · Anal. Chem. · 2009 · 81 · 430810.1021/ac900221y ↗
21. Xiong · Analyst · 2016 · 141 · 380310.1039/C6AN00046K ↗
22. Ohno · Opt. Mater. Express · 2016 · 6 · 159410.1364/OME.6.001594 ↗
23. Cetin · ACS Photonics · 2015 · 2 · 116710.1021/acsphotonics.5b00242 ↗
24. Leong · ACS Appl. Mater. Interfaces · 2011 · 3 · 114810.1021/am101278q ↗
25. Tinguely · BioNanoScience · 2011 · 1 · 12810.1007/s12668-011-0015-4 ↗
26. Nagpal · Science · 2009 · 325 · 59410.1126/science.1174655 ↗
27. Zhang · Nanoscale Res. Lett. · 2015 · 10 · 23810.1186/s11671-015-0944-x ↗
28. Averitt · J. Opt. Soc. Am. B · 1999 · 16 · 182410.1364/JOSAB.16.001824 ↗
29. Doremus · J. Chem. Phys. · 1964 · 40 · 238910.1063/1.1725519 ↗
30. McPeak · ACS Photonics · 2015 · 2 · 32610.1021/ph5004237 ↗
31. Wood · RSC Adv. · 2015 · 5 · 7853410.1039/C5RA17228D ↗
32. Zheng · Phys. Chem. Chem. Phys. · 2015 · 17 · 2121110.1039/C4CP05291A ↗
33. Yang · Opt. Commun. · 2014 · 329 · 18010.1016/j.optcom.2014.05.014 ↗
34. Kanso · J. Opt. A: Pure Appl. Opt. · 2007 · 9 · 58610.1088/1464-4258/9/7/008 ↗
35. Huang · Lab Chip · 2013 · 13 · 484110.1039/c3lc50814e ↗
36. Escobedo · Nano Lett. · 2012 · 12 · 159210.1021/nl204504s ↗
37. Chang · Lab Chip · 2011 · 11 · 359610.1039/c1lc20475k ↗
38. Yang · Sci. Transl. Med. · 2017 · 9 · eaal322610.1126/scitranslmed.aal3226 ↗
39. Khan · ACS Appl. Mater. Interfaces · 2017 · 9 · 2425910.1021/acsami.7b04854 ↗
40. Khan · Ultramicroscopy · 2019 · 196 · 110.1016/j.ultramic.2018.09.003 ↗
41. Yanik · Proc. Natl. Acad. Sci. U. S. A. · 2011 · 108 · 1178410.1073/pnas.1101910108 ↗
42. Sharma · J. Appl. Phys. · 2010 · 107 · 03470110.1063/1.3298503 ↗
43. Gordon · Acc. Chem. Res. · 2008 · 41 · 104910.1021/ar800074d ↗
44. Zhu · J. Mater. Chem. B · 2014 · 2 · 358210.1039/C4TB00281D ↗
45. Zhu · ACS Appl. Mater. Interfaces · 2013 · 5 · 651410.1021/am4006012 ↗