Sequence-defined macromolecules offer applications in the field of data storage. Challenges include synthesising precise and pure sequences, reading stored information and increasing data storage capacity. Herein, the synthesis of dual sequence-defined oligomers and their application for data storage is demonstrated. While applying the well-established Passerini three-component reaction, the degree of definition of the prepared monodisperse macromolecules is improved compared to previous reports by utilising nine specifically designed isocyanide monomers to introduce backbone definition. The monomers are combined with various aldehyde components to synthesise dual-sequence defined oligomers. Thus, the side chains and the backbones of these macromolecules can be varied independently, exhibiting increased molecular diversity and hence data storage capacity per repeat unit. In case of a dual sequence-defined pentamer, 33 bits are achieved in a single molecule. The oligomers are obtained in multigram scale and excellent purity. Sequential read-out by tandem ESI-MS/MS verifies the high data storage capacity of the prepared oligomers per repeat unit in comparison to other sequence defined macromolecules.

序列定义的大分子在数据存储领域提供了应用。挑战包括合成精确和纯净的序列、读取存储的信息和增加数据存储容量。在此，演示了双序列定义的低聚物的合成及其在数据存储中的应用。在应用成熟的 Passerini 三组分反应的同时，通过使用九种专门设计的异氰化物单体引入主链定义，与之前的报告相比，所制备的单分散大分子的定义程度有所提高。单体与各种醛组分结合以合成双序列定义的低聚物。因此，这些大分子的侧链和骨架可以独立变化，表现出增加的分子多样性，因此每个重复单元的数据存储容量。在双序列定义的五聚体的情况下，在单个分子中实现 33 位。低聚物以多克规模和极好的纯度获得。与其他序列定义的大分子相比，串联 ESI-MS/MS 的顺序读出验证了每个重复单元制备的低聚物的高数据存储容量。