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Gap-enhanced Raman tags for physically unclonable anticounterfeiting labels

Author

Listed:
  • Yuqing Gu

    (Shanghai Jiao Tong University)

  • Chang He

    (Shanghai Jiao Tong University)

  • Yuqing Zhang

    (Shanghai Jiao Tong University
    Hangzhou Dianzi University)

  • Li Lin

    (Shanghai Jiao Tong University)

  • Benjamin David Thackray

    (Shanghai Jiao Tong University)

  • Jian Ye

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University)

Abstract

Anticounterfeiting labels based on physical unclonable functions (PUFs), as one of the powerful tools against counterfeiting, are easy to generate but difficult to duplicate due to inherent randomness. Gap-enhanced Raman tags (GERTs) with embedded Raman reporters show strong intensity enhancement and ultra-high photostability suitable for fast and repeated readout of PUF labels. Herein, we demonstrate a PUF label fabricated by drop-casting aqueous GERTs, high-speed read using a confocal Raman system, digitized through coarse-grained coding methods, and authenticated via pixel-by-pixel comparison. A three-dimensional encoding capacity of over 3 × 1015051 can be achieved for the labels composed of ten types of GERTs with a mapping resolution of 2500 pixels and quaternary encoding of Raman intensity levels at each pixel. Authentication experiments have ensured the robustness and security of the PUF system, and the practical viability is demonstrated. Such PUF labels could provide a potential platform to realize unbreakable anticounterfeiting.

Suggested Citation

  • Yuqing Gu & Chang He & Yuqing Zhang & Li Lin & Benjamin David Thackray & Jian Ye, 2020. "Gap-enhanced Raman tags for physically unclonable anticounterfeiting labels," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-14070-9
    DOI: 10.1038/s41467-019-14070-9
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    Cited by:

    1. Kun Wang & Jianwei Shi & Wenxuan Lai & Qiang He & Jun Xu & Zhenyi Ni & Xinfeng Liu & Xiaodong Pi & Deren Yang, 2024. "All-silicon multidimensionally-encoded optical physical unclonable functions for integrated circuit anti-counterfeiting," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Junfang Zhang & Rong Tan & Yuxin Liu & Matteo Albino & Weinan Zhang & Molly M. Stevens & Felix F. Loeffler, 2024. "Printed smart devices for anti-counterfeiting allowing precise identification with household equipment," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    3. Tongtong Zhang & Lingzhi Wang & Jing Wang & Zhongqiang Wang & Madhav Gupta & Xuyun Guo & Ye Zhu & Yau Chuen Yiu & Tony K. C. Hui & Yan Zhou & Can Li & Dangyuan Lei & Kwai Hei Li & Xinqiang Wang & Qi W, 2023. "Multimodal dynamic and unclonable anti-counterfeiting using robust diamond microparticles on heterogeneous substrate," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    4. Ningfei Sun & Ziyu Chen & Yanke Wang & Shu Wang & Yong Xie & Qian Liu, 2023. "Random fractal-enabled physical unclonable functions with dynamic AI authentication," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

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