Butterfly scales as bionic templates for complex ordered nanophotonic materials: A pathway to biomimetic plasmonics
Source abstract
Abstract
In this paper we propose a possible use of butterfly scales as templates for ordered 2D or 3D nanophotonic materials, with complexity not easily reproducible by conventional micro/nanofabrication methods. Functionalization through laminar nanocompositing is utilized to impart novel properties to the biological scaffold. An extremely wide variability of butterfly scale forms, shapes, sizes and fine structures is observed in nature, many of them already possessing peculiar optical properties. Their nanophotonic functionalization ensures a large choice of forms and functions, including enhanced light localization, light and plasmon waveguiding and general metamaterial behavior, to mention a few. We show that one is able to achieve a combination of plasmonics and bionics, resulting in functionalities seldom if ever met in nature. As an illustration we have analyzed the photonic properties of the nanostructured scales on the wings of Purple Emperor butterflies Apatura ilia, Apatura iris and Sasakia charonda. Their intricate nanometer-sized structures produce remarkable ultraviolet-blue iridescence, spectrally and directionally narrow. We present our analysis of their plasmonic/nanophotonic functionalization including preliminary calculations and initial experimental results. As a simple example, we used radiofrequent sputtering to produce nanoaperture-based plasmonic structures at a fraction of the cost and necessary engineering efforts compared to the conventional top-down methods. We conclude that the described pathway to biomimetic plasmonics offers potentials for significant expansion of the nanophotonic and nanoplasmonic material toolbox.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Photonic Crystals and Applications · Plasmonic and Surface Plasmon Research · Optical Coatings and Gratings
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (17)
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