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Updated: Aug 19, 2025

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
Published on: February 6, 2020
Reading Information Stored in Synthetic Macromolecules.
Matthieu Soete1, Chiel Mertens1, Nezha Badi1
1Polymer Chemistry Research Group, Centre of Macromolecular Chemistry (CMaC), Department of Organic and Macromolecular Chemistry, Faculty of Sciences, Ghent University, B-9000 Ghent, Belgium.
Synthetic macromolecules offer a novel approach to data storage, with advancements enabling new applications. This perspective reviews methods for retrieving information encoded in molecular sequences, focusing on mass spectrometry and nanopore sensing.
Area of Science:
- Molecular engineering
- Data storage technologies
- Biotechnology
Background:
- Synthetic macromolecules are emerging as a viable alternative to traditional archival storage media.
- Advances in molecular information storage have opened avenues for applications like anti-counterfeiting and steganography.
Purpose of the Study:
- To critically review prominent strategies for retrieving information encoded in synthetic macromolecules.
- To discuss recent progress in using small molecules for data storage.
- To identify optimal strategies for specific applications and outline future research directions.
Main Methods:
- Focus on sequence determination of synthetic macromolecules where information is stored via monomer arrangement.
- Emphasis on chemically aided strategies, tandem mass spectrometry, and nanopore sensing.
- Discussion of recent progress in utilizing small molecules for information storage.
Main Results:
- Overview of prominent molecular information retrieval strategies.
- Detailed examination of sequence determination techniques for macromolecules.
- Exploration of small molecule-based information storage.
Conclusions:
- Highlighting the most suitable retrieval strategies for specific applications.
- Identifying key challenges and future research avenues in reading macromolecular information.
- Synthetic molecule-based information storage presents a promising frontier.
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