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Edible unclonable functions

Author

Listed:
  • Jung Woo Leem

    (Purdue University)

  • Min Seok Kim

    (Gwangju Institute of Science Technology)

  • Seung Ho Choi

    (Yonsei University)

  • Seong-Ryul Kim

    (National Institute of Agricultural Sciences, Rural Development Administration)

  • Seong-Wan Kim

    (National Institute of Agricultural Sciences, Rural Development Administration)

  • Young Min Song

    (Gwangju Institute of Science Technology)

  • Robert J. Young

    (Lancaster University)

  • Young L. Kim

    (Purdue University
    Purdue University Center for Cancer Research
    Regenstrief Center for Healthcare Engineering
    Purdue Quantum Science and Engineering Institute)

Abstract

Counterfeit medicines are a fundamental security problem. Counterfeiting medication poses a tremendous threat to patient safety, public health, and the economy in developed and less developed countries. Current solutions are often vulnerable due to the limited security levels. We propose that the highest protection against counterfeit medicines would be a combination of a physically unclonable function (PUF) with on-dose authentication. A PUF can provide a digital fingerprint with multiple pairs of input challenges and output responses. On-dose authentication can verify every individual pill without removing the identification tag. Here, we report on-dose PUFs that can be directly attached onto the surface of medicines, be swallowed, and digested. Fluorescent proteins and silk proteins serve as edible photonic biomaterials and the photoluminescent properties provide parametric support of challenge-response pairs. Such edible cryptographic primitives can play an important role in pharmaceutical anti-counterfeiting and other security applications requiring immediate destruction or vanishing features.

Suggested Citation

  • Jung Woo Leem & Min Seok Kim & Seung Ho Choi & Seong-Ryul Kim & Seong-Wan Kim & Young Min Song & Robert J. Young & Young L. Kim, 2020. "Edible unclonable functions," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-14066-5
    DOI: 10.1038/s41467-019-14066-5
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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. 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.
    3. Minye Yang & Liang Zhu & Qi Zhong & Ramy El-Ganainy & Pai-Yen Chen, 2023. "Spectral sensitivity near exceptional points as a resource for hardware encryption," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

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