Multilevel Stimuli–Responsive Smart “Sandwich” Label with Physical Unclonable Functions Bionic Wrinkles and Space‐Selective Fluorescence Patterns

With the increasing popularity of the internet, it brings convenience to lives while also increases security risks. Physical Unclonable Functions (PUFs) can generate random, unclonable, and unique identifiers using their inherent physical characteristics, which have broad prospects in anti-counterfeiting. Herein, inspired by the irregular tree bark fissures and random skin wrinkles found in nature, a method for creating complex micro-wrinkles with unclonable random patterns is proposed by simply stretching hydrogels. The random texture information contained in the micro-wrinkles is digitized into binary codes using an adaptive threshold algorithm. Additionally, a novel "sandwich" label with a multilevel intelligent anti-counterfeiting system is proposed. The first-level involves photoluminescence encryption with adjustable luminescence within visible light range and modulated luminescence at different excitation wavelengths; the second-level includes strain-related mechanical encryption, and the third-level consists of highly random and unclonable micro-wrinkles. The certification difficulty increases as the anti-counterfeiting grade increases, thereby enhancing label security. Furthermore, space-selective doping of rare earth metal-organic framework (RE-MOF) fluorescent materials in hydrogels is achieved through the use of screen-printing technology. The concept of novel multilevel smart anti-counterfeiting PUF labels will further enhance current levels of counterfeiting prevention.

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Publication Details

Journal
Small
Published
2024-10-31
DOI
https://doi.org/10.1002/smll.202405110
Citations
9
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
4.40

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article

Multilevel Stimuli–Responsive Smart “Sandwich” Label with Physical Unclonable Functions Bionic Wrinkles and Space‐Selective Fluorescence Patterns

Feng Song, Yanyan Li, Wei Huang, Yang Li et al.
9 citations
Small
Physical Unclonable Functions (PUFs) and Hardware Security
4.40
article

Multilevel Stimuli–Responsive Smart “Sandwich” Label with Physical Unclonable Functions Bionic Wrinkles and Space‐Selective Fluorescence Patterns

Feng Song, Yanyan Li, Wei Huang, Yang Li, Yan Li, Zejia Zhao
article en
9 citations

Abstract

With the increasing popularity of the internet, it brings convenience to lives while also increases security risks. Physical Unclonable Functions (PUFs) can generate random, unclonable, and unique identifiers using their inherent physical characteristics, which have broad prospects in anti-counterfeiting. Herein, inspired by the irregular tree bark fissures and random skin wrinkles found in nature, a method for creating complex micro-wrinkles with unclonable random patterns is proposed by simply stretching hydrogels. The random texture information contained in the micro-wrinkles is digitized into binary codes using an adaptive threshold algorithm. Additionally, a novel "sandwich" label with a multilevel intelligent anti-counterfeiting system is proposed. The first-level involves photoluminescence encryption with adjustable luminescence within visible light range and modulated luminescence at different excitation wavelengths; the second-level includes strain-related mechanical encryption, and the third-level consists of highly random and unclonable micro-wrinkles. The certification difficulty increases as the anti-counterfeiting grade increases, thereby enhancing label security. Furthermore, space-selective doping of rare earth metal-organic framework (RE-MOF) fluorescent materials in hydrogels is achieved through the use of screen-printing technology. The concept of novel multilevel smart anti-counterfeiting PUF labels will further enhance current levels of counterfeiting prevention.

SmallVol. 20(52)
Nanjing Tech University (CN), Shanxi University (CN), Nankai University (CN), The Synergetic Innovation Center for Advanced Materials (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
Physical Unclonable Functions (PUFs) and Hardware Security
4.40
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