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Area of Science:

  • Macromolecular Chemistry
  • Materials Science
  • Information Technology

Background:

  • Sequence-defined macromolecules are promising for data storage applications.
  • Current challenges include precise synthesis, information retrieval, and increasing storage density.

Purpose of the Study:

  • To synthesize dual sequence-defined oligomers for advanced data storage.
  • To improve molecular definition and enhance data storage capacity per repeat unit.

Main Methods:

  • Utilized the Passerini three-component reaction with nine novel isocyanide monomers.
  • Synthesized dual-sequence defined oligomers by combining monomers with various aldehydes.
  • Employed tandem ESI-MS/MS for sequential read-out and verification.

Main Results:

  • Achieved improved backbone definition in monodisperse macromolecules.
  • Demonstrated independent variation of side chains and backbones, increasing molecular diversity.
  • A dual sequence-defined pentamer molecule stored 33 bits, showcasing high data density.
  • Oligomers were synthesized in multigram quantities with excellent purity.

Conclusions:

  • Dual sequence-defined oligomers offer a viable strategy for high-capacity molecular data storage.
  • The developed method enhances data storage density compared to existing sequence-defined macromolecules.
  • This work paves the way for next-generation data storage solutions.