Plasmonic Metasurfaces Based on Pyramidal Nanoholes for High-Efficiency SERS Biosensing
Source abstract
Abstract
An inverted pyramidal metasurface was designed, fabricated, and studied at the nanoscale level for the development of a label-free pathogen detection on a chip platform that merges nanotechnology and surface-enhanced Raman scattering (SERS). Based on the integration and synergy of these ingredients, a virus immunoassay was proposed as a relevant proof of concept for very sensitive detection of hepatitis A virus, for the first time to our best knowledge, in a very small volume (2 μL), without complex signal amplification, allowing to detect a minimal virus concentration of 13 pg/mL. The proposed work aims to develop a high-flux and high-accuracy surface-enhanced Raman spectroscopy (SERS) nanobiosensor for the detection of pathogens to provide an effective method for early and easy water monitoring, which can be fast and convenient.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Advanced biosensing and bioanalysis techniques · Plasmonic and Surface Plasmon Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Physics, University of Calabria, Via P. Bucci, 87036 Rende, CS, Italy
CNR NANOTEC—Istituto di Nanotecnologia, UOS Cosenza, 87036 Rende, CS, Italy
Institute of Applied Sciences and Intelligent Systems ”E. Caianiello” CNR, 80078 Pozzuoli, Italy
Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanitá, 00161 Rome, Italy
Institute of Photonics, Faculty of Science, Ningbo University, 315211 Ningbo, People’s Republic of China
LUMIN Laboratory (CNRS), Institut d’Alembert, Universitè Paris Saclay, 91190 Gif sur Yvette, France
Funding
Ministero dell???Istruzione, dell???Universit?? e della Ricerca · European Regional Development Fund · European Social Fund
References (63)
Show source-provided references
1. 10.1021/cr300120g10.1021/cr300120g ↗
2. 10.1021/acsami.6b0152310.1021/acsami.6b01523 ↗
3. 10.1021/acsanm.8b0133610.1021/acsanm.8b01336 ↗
4. 10.1002/adom.20200137510.1002/adom.202001375 ↗
5. 10.3390/bios1103006610.3390/bios11030066 ↗
6. 10.1021/acs.jpcc.9b0396810.1021/acs.jpcc.9b03968 ↗
7. 10.1021/nn401645t10.1021/nn401645t ↗
8. 10.1002/adma.20200864410.1002/adma.202008644 ↗
9. 10.3390/s1920439610.3390/s19204396 ↗
10. 10.1021/acsami.0c0009510.1021/acsami.0c00095 ↗
11. 10.1515/odps-2016-000510.1515/odps-2016-0005 ↗
12. 10.1515/odps-2017-000710.1515/odps-2017-0007 ↗
13. 10.1039/C7TB00777A10.1039/C7TB00777A ↗
14. 10.1515/nanoph-2020-046610.1515/nanoph-2020-0466 ↗
15. 10.1021/acsami.0c0741510.1021/acsami.0c07415 ↗
16. 10.1038/nmat460910.1038/nmat4609 ↗
17. 10.1002/adom.20190008110.1002/adom.201900081 ↗
18. 10.1111/j.1472-765X.2007.02140.x10.1111/j.1472-765X.2007.02140.x ↗
19. 10.1016/j.bios.2014.01.03510.1016/j.bios.2014.01.035 ↗
20. 10.1038/lsa.2013.1810.1038/lsa.2013.18 ↗
21. 10.3390/s12091250610.3390/s120912506 ↗
22. 10.1021/acsanm.0c0087210.1021/acsanm.0c00872 ↗
23. 10.1021/acssensors.7b0019510.1021/acssensors.7b00195 ↗
24. 10.1128/JVI.03540-1210.1128/JVI.03540-12 ↗
25. 10.1021/nl061666f10.1021/nl061666f ↗
26. 10.3390/s2017474510.3390/s20174745 ↗
27. 10.1021/ac702464w10.1021/ac702464w ↗
28. 10.1002/cnma.20160016510.1002/cnma.201600165 ↗
29. 10.1371/journal.pone.001022210.1371/journal.pone.0010222 ↗
30. Dotzauer A. · 2008 · 19 · 34310.1016/B978-012374410-4.00412-X ↗
31. 10.2807/1560-7917.ES2014.19.43.2094110.2807/1560-7917.ES2014.19.43.20941 ↗
32. 10.3201/eid2004.13075310.3201/eid2004.130753 ↗
33. 10.1016/S0895-4356(99)00123-710.1016/S0895-4356(99)00123-7 ↗
34. 10.7150/ntno.2030110.7150/ntno.20301 ↗
35. Sánchez, G. Hepatitis a Virus in Food: Detection and Inactivation Methods; Springer, 2013; pp 9–20.10.1007/978-1-4614-7104-2_2 ↗
36. 10.4081/ijfs.2014.160110.4081/ijfs.2014.1601 ↗
37. 10.1016/j.bios.2017.08.04310.1016/j.bios.2017.08.043 ↗
38. 10.1016/j.bios.2016.08.08710.1016/j.bios.2016.08.087 ↗
39. 10.1126/science.297.5586.153610.1126/science.297.5586.1536 ↗
40. 10.1002/smll.20090110510.1002/smll.200901105 ↗
41. 10.1016/j.talanta.2014.04.05110.1016/j.talanta.2014.04.051 ↗
42. 10.1021/acs.analchem.6b0472910.1021/acs.analchem.6b04729 ↗
43. 10.1063/1.282183310.1063/1.2821833 ↗
44. 10.1021/nl204577710.1021/nl2045777 ↗
45. 10.1021/jp404590j10.1021/jp404590j ↗
46. 10.1016/j.cplett.2013.12.06310.1016/j.cplett.2013.12.063 ↗
47. 10.1016/j.vibspec.2018.11.00210.1016/j.vibspec.2018.11.002 ↗
48. 10.1364/OE.22.03059210.1364/OE.22.030592 ↗
49. 10.1002/lpor.20150021210.1002/lpor.201500212 ↗
50. 10.1016/j.watres.2018.02.00410.1016/j.watres.2018.02.004 ↗
51. 10.3390/ijerph1614258810.3390/ijerph16142588 ↗
52. 10.1021/acsnano.7b0707610.1021/acsnano.7b07076 ↗
53. 10.1016/j.mattod.2020.12.01610.1016/j.mattod.2020.12.016 ↗
54. 10.1088/2040-8978/16/11/11401210.1088/2040-8978/16/11/114012 ↗
55. 10.1002/smll.20160039310.1002/smll.201600393 ↗
56. 10.3389/fchem.2019.0003010.3389/fchem.2019.00030 ↗
57. 10.1002/jrs.433510.1002/jrs.4335 ↗
58. 10.1021/jacs.5b0142610.1021/jacs.5b01426 ↗
59. 10.1007/s00216-009-2682-310.1007/s00216-009-2682-3 ↗
60. 10.1021/acs.jpcc.6b0275310.1021/acs.jpcc.6b02753 ↗
61. 10.1038/srep2695210.1038/srep26952 ↗
62. 10.1007/s12560-010-9027-410.1007/s12560-010-9027-4 ↗
63. Zeipe G. · 1983 · 59 · 242