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Tunable Photonic Paints via Block Copolymer Self-Assembly and Refractive Index Engineering.

Simone Bertucci1,2,3, Remi Schobinger3, Liviana Mummolo3,4

  • 1Photonic Nanomaterials, Istituto Italiano di Tecnologia, Via Morego 30, Genoa 16163, Italy.

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Summary

Researchers developed vibrant, tunable structural paints using novel photonic microparticles. This scalable method enhances color intensity and reduces light scattering for advanced coatings.

Keywords:
block copolymersphotonic paintsrefractive index contrastself-assemblystructural color

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Area of Science:

  • Materials Science
  • Polymer Chemistry
  • Optics

Background:

  • Structurally colored paints offer an alternative to pigment-based colorants.
  • Existing photonic paints suffer from limited color vibrancy and light scattering.

Purpose of the Study:

  • To develop a scalable method for fabricating water-based photonic paints with enhanced color properties.
  • To improve color vibrancy, uniformity, and tunability in structural color coatings.

Main Methods:

  • Fabrication of poly-(2-vinylpyridine)-block-poly-(methyl methacrylate) (P2VP-b-PMMA) microparticles via emulsion droplet self-assembly.
  • Incorporation of 2,4,6-triiodophenol (TIPh) for refractive index engineering.
  • Co-assembly of Sudan Black B for light absorption and scattering reduction.
  • Formulation with a waterborne polyurethane binder for coating application.

Main Results:

  • Concentric lamellar microparticles exhibited a photonic bandgap in the visible spectrum.
  • TIPh incorporation led to tunable and more intense structural colors.
  • Sudan Black B reduced diffuse scattering and enhanced color saturation.
  • Polyurethane binder improved film homogeneity, reduced scattering, and enhanced mechanical integrity.

Conclusions:

  • A multicomponent strategy integrating refractive index engineering, pigment dispersion control, and optical absorption yields high-performance structural color paints.
  • The developed paints demonstrate improved vibrancy, uniformity, and tunability compared to conventional methods.