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Unclonable Photonic Crystal Hydrogels with Controllable Encoding Capacity for Anticounterfeiting.

Jianyu Wu1, Jiawei Li1, Xiaochun Liu1

  • 1School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, P. R. China.

ACS Applied Materials & Interfaces
|December 27, 2021
PubMed
Summary
This summary is machine-generated.

Researchers created new unclonable photonic crystal hydrogels (UPCHs) inspired by opals. These hydrogels offer high-capacity, secure data encryption and authentication, overcoming limitations of current anti-counterfeiting technologies.

Keywords:
anticounterfeitingartificial intelligencecolloidal crystalselectrostatic interactionphotonic crystal hydrogels

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Optics

Background:

  • Naturally occurring precious opals exhibit random sparkling microcrystallines.
  • Existing unclonable materials face challenges like fading, limited durability, and high costs.
  • There is a need for advanced materials for secure information storage and anticounterfeiting.

Purpose of the Study:

  • To develop a novel class of unclonable photonic crystal hydrogels (UPCHs).
  • To achieve high-capacity, random, and secure data encoding and decoding.
  • To create a robust and cost-effective alternative for anticounterfeiting and information storage.

Main Methods:

  • Utilizing electrostatic interactions to induce the formation of UPCHs.
  • Leveraging the random self-assembly of colloidal crystals for unpredictable patterns.
  • Employing artificial intelligence (AI) deep learning for authentication and patterning.

Main Results:

  • Successfully produced UPCHs with random sparkling spots, mimicking natural opals.
  • Achieved an ultrahigh and controllable encoding capacity (up to ca. 2 × 10^166055).
  • Demonstrated unpredictable/unrepeatable characteristics due to colloidal crystal randomness.
  • Showcased water responsiveness, angle dependence, and robustness of UPCHs.
  • Enabled reliable and rapid authentication using AI deep learning.

Conclusions:

  • UPCHs offer a promising platform for secure, high-capacity information storage and steganography.
  • The developed hydrogels address limitations of existing unclonable materials, enhancing practical usability.
  • AI-driven authentication of UPCHs paves the way for unbreakable and portable security systems.
  • This research provides a novel approach for anticounterfeiting and data security applications.