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Comparative investigation of sensing behaviors between gap and lattice plasmon modes in metallic nanoring array

Abstract

Plasmonic nanostructures have become the most promising candidates for biosensing applications because of their miniature sizes, ease of integration, and high-throughput detection. Both propagating and localized surface plasmon modes in the nanostructures have been used for sensing and biomolecular detection. However, to maximize biosensing potential of nanostructure, the choice of optimized sensing detection strategy among two plasmon modes depends on the relation between biomolecule sizes and field decay length of plasmon modes. Here, we propose and investigate the plasmonic coupling on a single-crystalline gold film, wherein there are two distinct optical modes, a gap mode (localized surface plasmon) from parallel coupling of nanoring and surface lattice mode (propagating surface plasmon) originating from anti-parallel coupling of nanoring in an array. The sensing performances of above two modes are thoroughly investigated and compared from two aspects including bulk and surface sensitivities. It is demonstrated that there is a reciprocal relation between bulk and surface sensitivities for two modes, which also illustrates that surface sensitivity is indispensable to fully describe sensing performance of nanostructure. Furthermore, due to their different decay lengths, the gap and surface lattice modes on a single optical substrate can achieve simultaneous detection for target analytes with various sizes. Therefore, we can provide a high performance sensing platform based on metallic nanoring array for a broad range of biomolecules with various sizes.

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Publication details

The article was received on 24 Sep 2017, accepted on 12 Nov 2017 and first published on 13 Nov 2017


Article type: Paper
DOI: 10.1039/C7NR07124H
Citation: Nanoscale, 2017, Accepted Manuscript
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    Comparative investigation of sensing behaviors between gap and lattice plasmon modes in metallic nanoring array

    Y. Liang, L. Li, M. Lu, H. Yuan, Z. Long, W. Peng and T. Xu, Nanoscale, 2017, Accepted Manuscript , DOI: 10.1039/C7NR07124H

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