Reading mixtures of uniform sequence-defined macromolecules to increase data storage capacity.

ABSTRACT: In recent years, the field of molecular data storage has emerged from a niche to a vibrant research topic. Herein, we describe a simultaneous and automated read-out of data stored in mixtures of sequence-defined oligomers. Therefore, twelve different sequence-defined tetramers and three hexamers with different mass markers and side chains are successfully synthesised via iterative Passerini three-component reactions and subsequent deprotection steps. By programming a straightforward python script for ESI-MS/MS analysis, it is possible to automatically sequence and thus read-out the information stored in these oligomers within one second. Most importantly, we demonstrate that the use of mass-markers as starting compounds eases MS/MS data interpretation and furthermore allows the unambiguous

SUBMITTER: Frolich M 

PROVIDER: S-EPMC9814948 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature