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Efficient molecular encoding in multifunctional self-immolative urethanes.

Samuel D Dahlhauser1, Sarah R Moor1, Marissa S Vera1

  • 1University of Texas at Austin, Austin, TX 78712, USA.

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|November 10, 2021
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Summary
This summary is machine-generated.

Sequence-defined polymers offer a novel approach to data storage. This study demonstrates the first use of self-immolative oligourethanes for encoding and decoding text, successfully reconstructing a passage with high fidelity.

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Area of Science:

  • Polymer Chemistry
  • Data Storage Technologies
  • Molecular Engineering

Background:

  • Sequence-defined polymers are emerging as a promising platform for high-density data storage.
  • Current methods for molecular data storage face challenges in efficient encoding and retrieval.

Purpose of the Study:

  • To demonstrate the feasibility of using self-immolative oligourethanes for molecular data storage.
  • To develop and validate a complete workflow for encoding, synthesizing, sequencing, and decoding information in polymers.

Main Methods:

  • Development of Mol.E-coder software utilizing Huffman encoding for character-to-hexadecimal conversion.
  • High-throughput parallel synthesis of sequence-defined oligourethanes.
  • Concurrent sequencing of oligourethanes via self-immolation.
  • Information decoding using liquid chromatography-mass spectrometry (LC-MS) and Mol.E-decoder software.

Main Results:

  • Successful encoding and reconstruction of a text passage from Jane Austen's "Mansfield Park" using oligourethanes.
  • Demonstration of intact reproduction of the encoded information after multiple rounds of compression, encoding, and synthesis.
  • High fidelity retrieval without purification or tandem mass spectrometry (MS/MS).

Conclusions:

  • Self-immolative oligourethanes represent a viable and effective medium for molecular data storage.
  • The developed workflow provides a robust method for reliable information retrieval from sequence-defined polymers.
  • This approach offers a novel pathway for advanced data archival solutions.