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Polydopamine-based concentric nanoshells with programmable architectures and plasmonic properties


Nanoshells, classically comprising gold as the metallic component and silica as the dielectric material, are important for fundamental studies in nanoplasmonics. They also empower a myriad of applications, including sensing, energy harvesting, and cancer therapy. Yet, laborious preparation precludes the development of next-generation nanoshells with structural complexity, compositional diversity, and tailorable plasmonic behaviors. This work presents an efficient approach to the bottom-up assembly of concentric nanoshells. By employing polydopamine as the dielectric material and exploiting its intrinsic adhesiveness and pH-tunable surface charge, the growth of each shell only takes 3–4 hours at room temperature. A series of “non-classical” polydopamine-based concentric nanoshells with programmable nanogap thickness, elemental composition (gold and silver), and geometrical configuration (number of layers) is prepared, followed by extensive structural characterization. Four of the silver-containing nanostructures are newly reported. Systematic investigations into the plasmonic properties of concentric nanoshells as a function of their structural parameters further reveal multiple Fano resonances and local-field “hot spots”, infrequently reported plasmonic features for individual nanostructures fabricated from the bottom up. These results establish materials design rules for engineering complex plasmon-based systems arisen from the integration of multiple plasmonoic elements into defined locations within a compact nanostructure.

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Publication details

The article was received on 25 Jul 2017, accepted on 02 Oct 2017 and first published on 04 Oct 2017

Article type: Paper
DOI: 10.1039/C7NR05451C
Citation: Nanoscale, 2017, Accepted Manuscript
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    Polydopamine-based concentric nanoshells with programmable architectures and plasmonic properties

    C. K. K. Choi, X. Zhuo, Y. T. E. Chiu, H. Yang, J. Wang and C. H. J. Choi, Nanoscale, 2017, Accepted Manuscript , DOI: 10.1039/C7NR05451C

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