期刊
ADVANCED SCIENCE
卷 9, 期 22, 页码 -出版社
WILEY
DOI: 10.1002/advs.202201133
关键词
flame aerosol deposition; pesticide residue detection; plasmonic nanoparticles; surface-enhanced Raman scattering (SERS); SERS substrate fabrication
资金
- European Research Council (ERC) under the European Union [758705]
- Karolinska Institutet
- Swedish Foundation for Strategic Research (SSF) [FFL18-0043, RMX18-0043]
- Swedish Research Council [2016-05113]
- Swedish Research Council [2016-05113] Funding Source: Swedish Research Council
- European Research Council (ERC) [758705] Funding Source: European Research Council (ERC)
- Swedish Foundation for Strategic Research (SSF) [FFL18-0043] Funding Source: Swedish Foundation for Strategic Research (SSF)
This study uses flame aerosol technology to rapidly self-assemble uniform SERS sensing films. By controlling the thickness of the dielectric spacer and the interparticle distance, the Raman hotspots are finely tuned to achieve the highest signal enhancement. The developed SERS sensors demonstrate superior stability and batch-to-batch reproducibility.
Surface-enhanced Raman scattering (SERS) is a powerful sensing technique. However, the employment of SERS sensors in practical applications is hindered by high fabrication costs from processes with limited scalability, poor batch-to-batch reproducibility, substrate stability, and uniformity. Here, highly scalable and reproducible flame aerosol technology is employed to rapidly self-assemble uniform SERS sensing films. Plasmonic Ag nanoparticles are deposited on substrates as nanoaggregates with fine control of their interparticle distance. The interparticle distance is tuned by adding a dielectric spacer during nanoparticle synthesis that separates the individual Ag nanoparticles within each nanoaggregate. The dielectric spacer thickness dictates the plasmonic coupling extinction of the deposited nanoaggregates and finely tunes the Raman hotspots. By systematically studying the optical and morphological properties of the developed SERS surfaces, structure-performance relationships are established and the optimal hot-spots occur for interparticle distance of 1 to 1.5 nm among the individual Ag nanoparticles, as also validated by computational modeling, are identified for the highest signal enhancement of a molecular Raman reporter. Finally, the superior stability and batch-to-batch reproducibility of the developed SERS sensors are demonstrated and their potential with a proof-of-concept practical application in food-safety diagnostics for pesticide detection on fruit surfaces is explored.
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