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Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
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Multifunctional sequence-defined macromolecules for chemical data storage.

Steven Martens1, Annelies Landuyt1, Pieter Espeel1

  • 1Department of Organic and Macromolecular Chemistry, Polymer Chemistry Research Group, Centre of Macromolecular Chemistry (CMaC), Ghent University, Krijgslaan 281 S4bis, 9000, Ghent, Belgium.

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|October 28, 2018
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Summary
This summary is machine-generated.

Sequence-defined macromolecules can store data, encoding text and QR codes as oligomers. This chemical data storage method uses automated synthesis and mass spectrometry for reliable data reconstruction.

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Area of Science:

  • Macromolecular Chemistry
  • Chemical Engineering
  • Data Science

Background:

  • Sequence-defined macromolecules offer precise control over structure and properties.
  • Potential applications include anti-counterfeiting, biological mimicking, and data storage.
  • Existing data storage methods face limitations in density and longevity.

Purpose of the Study:

  • To demonstrate the feasibility of using multifunctional sequence-defined macromolecules as a data storage medium.
  • To encode and decode both human-readable text and machine-readable QR codes.
  • To develop automated tools for chemical data writing and reading.

Main Methods:

  • Utilizing an automated, protecting-group-free, two-step iterative protocol based on thiolactone chemistry to synthesize amide-urethane containing oligomers.
  • Employing tandem mass spectrometry techniques for detailed analysis and sequencing of the synthesized oligomers.
  • Developing generic software tools, Chemcoder and Chemreader, for encoding/decoding data and reconstructing sequences from mass spectra.

Main Results:

  • Successfully encoded short text fragments and QR codes into collections of oligomers.
  • Demonstrated the accurate reconstruction of the original data from the synthesized oligomers.
  • Validated the efficiency and automation capabilities of the Chemcoder and Chemreader software tools.

Conclusions:

  • Multifunctional sequence-defined macromolecules represent a promising new medium for data storage.
  • The developed automated synthesis and analysis workflow enables efficient chemical data writing and reading.
  • This approach offers a novel pathway for high-density, long-term data archival.