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Nature’s functional nanomaterials: Growth or self-assembly?

Published online by Cambridge University Press:  12 February 2019

Bodo D. Wilts
Affiliation:
Adolphe Merkle Institute, University of Fribourg, Switzerland; bodo.wilts@unifr.ch
Peta L. Clode
Affiliation:
Centre for Microscopy, Characterisation and Analysis, The University of Western Australia, Australia; peta.clode@uwa.edu.au
Nipam H. Patel
Affiliation:
Marine Biological Laboratory, The University of Chicago, USA; npatel@mbl.edu
Gerd E. Schröder-Turk
Affiliation:
School of Engineering and Information Technology, Murdoch University, Australia; G.Schroeder-Turk@murdoch.edu.au

Abstract

Nature’s optical nanomaterials are poised to form the platform for future optical devices with unprecedented functionality. The brilliant colors of many animals arise from the physical interaction of light with nanostructured, multifunctional materials. While their length scale is typically in the 100-nm range, the morphology of these structures can vary strongly. These biological nanostructures are obtained in a controlled manner, using biomaterials under ambient conditions. The formation processes nature employs use elements of both equilibrium self-assembly and far-from-equilibrium and growth processes. This renders not only the colors themselves, but also the formation processes technologically and ecologically highly relevant. Yet, for many biological nanostructured materials, little is known about the formation mechanisms—partially due to a lack of in vivo imaging methods. Here, we present the toolbox of natural multifunctional nanostructures and the current knowledge about the understanding of their far-from-equilibrium assembly processes.

Information

Type
Bioinspired Far-From-Equilibrium Materials
Copyright
Copyright © Materials Research Society 2019 
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Figure 1. (a–d) Hierarchical nanostructural organization of gyroid crystallites in the Neotropical Green Hairstreak butterfly, Thecla opisena.20 (e) Model of a single gyroid network with a demonstration of two of the high-symmetry orientations.23

Figure 1

Figure 2. Disordered photonics of a scarlet macaw feather. (a) Scarlet macaw, Ara macao. (b, c) The photonic structure is present in the outermost cells of the barbs, covered by a transparent envelope. (d) Scanning electron microscope image showing a disordered network. (e) The underlying growth process is assumed to be spinodal decomposition. Shown here is a schematic phase diagram of a polymer solution as a function of polymer volume fraction, ϕ, temperature, T, and interaction parameter, χ. The black line indicates the phase boundary that separates the single-phase system (above) from a solution that separates into two distinct phases either via spinodal decomposition or nucleation and growth. (b–d) Adapted with permission from Reference 38. © 2012 National Academy of Sciences. (e) Adapted with permission from References 52 and 54. © 2009 Royal Society of Chemistry and The Royal Society, respectively. Note: kB, Boltzmann constant.

Figure 2

Figure 3. (a) Ghiradella’s model for the formation of wing scale nanostructures, as based on postmortem transmission electron micrographs of the developing wing scale. (b) Scanning electron microscope image of a faceted gyroid allows us to draw conclusions about the growth mechanism (c).20 (a) Adapted with permission from Reference 44. © 1989 Wiley.

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Figure 4. (a, b) Confocal laser scanning microscope allows 3D imaging of wing scale development of wing scale cells of Junonia coenia at 32% of pupal development, stained for the cell membrane (magenta) and F-actin (yellow). The wing scales are already elongated, anisotropic in shape and the lumen becomes discernible. A field of scales is viewed from the apical surface in (a), while a cross section of two scales is shown in (b). This level of detail can only be imaged postmortem with the appropriate fluorescent markers.46