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Design and synthesis of digitally encoded polymers that can be decoded and erased

Author

Listed:
  • Raj Kumar Roy

    (Precision Macromolecular Chemistry, Institut Charles Sadron, UPR22-CNRS)

  • Anna Meszynska

    (Precision Macromolecular Chemistry, Institut Charles Sadron, UPR22-CNRS)

  • Chloé Laure

    (Precision Macromolecular Chemistry, Institut Charles Sadron, UPR22-CNRS)

  • Laurence Charles

    (Aix-Marseille Université – CNRS, UMR 7273, Institute of Radical Chemistry)

  • Claire Verchin

    (Precision Macromolecular Chemistry, Institut Charles Sadron, UPR22-CNRS)

  • Jean-François Lutz

    (Precision Macromolecular Chemistry, Institut Charles Sadron, UPR22-CNRS)

Abstract

Biopolymers such as DNA store information in their chains using controlled sequences of monomers. Here we describe a non-natural information-containing macromolecule that can store and retrieve digital information. Monodisperse sequence-encoded poly(alkoxyamine amide)s were synthesized using an iterative strategy employing two chemoselective steps: the reaction of a primary amine with an acid anhydride and the radical coupling of a carbon-centred radical with a nitroxide. A binary code was implemented in the polymer chains using three monomers: one nitroxide spacer and two interchangeable anhydrides defined as 0-bit and 1-bit. This methodology allows encryption of any desired sequence in the chains. Moreover, the formed sequences are easy to decode using tandem mass spectrometry. Indeed, these polymers follow predictable fragmentation pathways that can be easily deciphered. Moreover, poly(alkoxyamine amide)s are thermolabile. Thus, the digital information encrypted in the chains can be erased by heating the polymers in the solid state or in solution.

Suggested Citation

  • Raj Kumar Roy & Anna Meszynska & Chloé Laure & Laurence Charles & Claire Verchin & Jean-François Lutz, 2015. "Design and synthesis of digitally encoded polymers that can be decoded and erased," Nature Communications, Nature, vol. 6(1), pages 1-8, November.
    • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms8237
    DOI: 10.1038/ncomms8237
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    Cited by:

    1. Kashyap Ravi, 2020. "The Economics of Enlightenment: Time Value of Knowledge and the Net Present Value (NPV) of Knowledge Machines, A Proposed Approach Adapted from Finance," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-23, April.
    2. Kashyap, Ravi, 2021. "Artificial Intelligence: A Child’s Play," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Chaoran Xu & Congze He & Ning Li & Shicheng Yang & Yuxuan Du & Krzysztof Matyjaszewski & Xiangcheng Pan, 2021. "Regio- and sequence-controlled conjugated topological oligomers and polymers via boronate-tag assisted solution-phase strategy," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    4. Ravi Kashyap, 2019. "Concepts, Components and Collections of Trading Strategies and Market Color," Papers 1910.02144, arXiv.org, revised Jan 2020.
    5. Kashyap Ravi, 2020. "The Economics of Enlightenment: Time Value of Knowledge and the Net Present Value (NPV) of Knowledge Machines, A Proposed Approach Adapted from Finance," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-23, April.

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