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Dual sequence definition increases the data storage capacity of sequence-defined macromolecules
Katharina S Wetzel1, Maximiliane Frölich1, Susanne C Solleder1
1Laboratory of Applied Chemistry, Institute of Organic Chemistry (IOC), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131, Karlsruhe, Germany.
Researchers developed dual sequence-defined oligomers for enhanced data storage. This molecular approach significantly increases data storage capacity per molecule, overcoming previous limitations in sequence precision and purity.
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.
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