Self-Assembly of Nanoparticle-Spiked Pillar Arrays for Plasmonic Biosensing

9 pags. 5 figs.Plasmonic biosensors have demonstrated superior performance in detecting various biomolecules with high sensitivity through simple assays. Scaled-up, reproducible chip production with a high density of hotspots in a large area has been technically challenging, limiting the commercialization and clinical translation of these biosensors. A new fabrication method for 3D plasmonic nanostructures with a high density, large volume of hotspots and therefore inherently improved detection capabilities is developed. Specifically, Au nanoparticle-spiked Au nanopillar arrays are prepared by utilizing enhanced surface diffusion of adsorbed Au atoms on a slippery Au nanopillar arrays through a simple vacuum process. This process enables the direct formation of a high density of spherical Au nanoparticles on the 1 nm-thick dielectric coated Au nanopillar arrays without high-temperature annealing, which results in multiple plasmonic coupling, and thereby large effective volume of hotspots in 3D spaces. The plasmonic nanostructures show signal enhancements over 8.3 × 10-fold for surface-enhanced Raman spectroscopy and over 2.7 × 10-fold for plasmon-enhanced fluorescence. The 3D plasmonic chip is used to detect avian influenza-associated antibodies at 100 times higher sensitivity compared with unstructured Au substrates for plasmon-enhanced fluorescence detection. Such a simple and scalable fabrication of highly sensitive 3D plasmonic nanostructures provides new opportunities to broaden plasmon-enhanced sensing applications.This work was supported by the Fundamental Research Program (PNK 6070) of the Korean Institute of Materials Science (KIMS) and the Ministry of Trade, Industry and Energy (Grant N0002310). S.A.M. acknowledges ONR Global, the EPSRSC Reactive Plasmonics Programme (EP/M013812/1), the Lee-Lucas Chair in Physics, and the Bavarian Solar Energies Go Hybrid (SolTech) programme. X.X. was supported by Lee Family Scholars. H.I. was supported in part by National Cancer Institute of the National Institutional of Health under award number R00CA201248