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Bio-inspired wrinkle microstructures for random lasing governed by surface roughness.

Venkata Siva Gummaluri, R Gayathri, C Vijayan

    Optics Letters
    |March 2, 2021
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    Researchers developed bio-inspired scattering substrates using plant molds for random lasing. These polydimethylsiloxane (PDMS) substrates enable efficient, reusable random lasers with tunable properties for sensing and imaging.

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    Area of Science:

    • Materials Science
    • Optics and Photonics
    • Biomimicry

    Background:

    • Random lasing offers potential for low-cost coherent light sources.
    • Bio-inspired structures can provide unique scattering properties.
    • Polydimethylsiloxane (PDMS) is a versatile polymer for fabricating microstructures.

    Purpose of the Study:

    • To present a facile method for fabricating bio-inspired scattering substrates for random lasing.
    • To investigate the effect of surface roughness on random lasing performance.
    • To explore the reusability of the fabricated substrates.

    Main Methods:

    • Molding PDMS using natural plant leaves (Monstera and Piper sarmentosum) to create wrinkle-like scattering surfaces.
    • Characterizing surface roughness (Sa) using profilometry.
    • Performing random lasing experiments with a liquid gain medium.
    • Analyzing optical feedback using Power Fourier Transform analysis and waveguide theory.

    Main Results:

    • Fabricated PDMS substrates with varying surface roughness (Sa = 3.6 µm and 5.2 µm).
    • The rougher substrate (5.2 µm Sa) exhibited lower threshold fluence (0.2 mJ/cm2) and narrower linewidth (2 nm) compared to the smoother one (3.6 µm Sa; 0.5 mJ/cm2, 5 nm).
    • Demonstrated substrate reusability due to PDMS hydrophobicity and validated optical feedback mechanisms.

    Conclusions:

    • Bio-inspired PDMS substrates effectively enable spatially incoherent random lasing.
    • Surface microstructure significantly influences random lasing characteristics, including threshold and linewidth.
    • This method provides a scalable approach for creating reusable random lasers for applications in sensing and imaging.