Fine Optimization of Colloidal Photonic Crystal Structural Color for Physically Unclonable Multiplex Encryption and Anti‐Counterfeiting Article Swipe
Yifan Gao
,
Kongyu Ge
,
Zhen Zhang
,
Zhan Li
,
Shaowei Hu
,
Hongjun Ji
,
Mingyu Li
,
Huanhuan Feng
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/advs.202305876
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/advs.202305876
Robust anti‐counterfeiting techniques aim for easy identification while remaining difficult to forge, especially for high‐value items such as currency and passports. However, many existing anti‐counterfeiting techniques rely on deterministic processes, resulting in loopholes for duplication and counterfeiting. Therefore, achieving high‐level encryption and easy authentication through conventional anti‐counterfeiting techniques has remained a significant challenge. To address this, this work proposes a solution that combined fluorescence and structural colors, creating a physically unclonable multiplex encryption system (PUMES). In this study, the physicochemical properties of colloidal photonic inks are systematically adjusted to construct a comprehensive printing phase diagram, revealing the printable region. Furthermore, the brightness and color saturation of inkjet‐printed colloidal photonic crystal structural colors are optimized by controlling the substrate's hydrophobicity, printed droplet volume, and the addition of noble metals. Finally, fluorescence is incorporated to build PUMES, including macroscopic fluorescence and structural color patterns, as well as microscopic physically unclonable fluorescence patterns. The PUMES with intrinsic randomness and high encoding capacity are authenticated by a deep learning algorithm, which proved to be reliable and efficient under various observation conditions. This approach can provide easy identification and formidable resistance against counterfeiting, making it highly promising for the next‐generation anti‐counterfeiting of currency and passports.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/advs.202305876
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202305876
- OA Status
- gold
- Cited By
- 47
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393987945
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393987945Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/advs.202305876Digital Object Identifier
- Title
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Fine Optimization of Colloidal Photonic Crystal Structural Color for Physically Unclonable Multiplex Encryption and Anti‐CounterfeitingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-04-04Full publication date if available
- Authors
-
Yifan Gao, Kongyu Ge, Zhen Zhang, Zhan Li, Shaowei Hu, Hongjun Ji, Mingyu Li, Huanhuan FengList of authors in order
- Landing page
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https://doi.org/10.1002/advs.202305876Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202305876Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202305876Direct OA link when available
- Concepts
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Encryption, Materials science, Structural coloration, Traceability, Nanotechnology, Multiplex, Computer science, Authentication (law), Photonic crystal, Identification (biology), Optoelectronics, Bioinformatics, Computer security, Biology, Software engineering, BotanyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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47Total citation count in OpenAlex
- Citations by year (recent)
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2025: 32, 2024: 15Per-year citation counts (last 5 years)
- References (count)
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64Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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