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<p>Peptide-based data storage offers a promising solution to the escalating digital data crisis. A key challenge is maintaining peptide stability over time after encoding information in amino acid sequences. Here, we present a simple and effective method to preserve peptides using a hydrogel composed of poly(N-isopropylacrylamide) and chitosan that forms a semi-interpenetrating polymer network. This hydrogel responds to temperature and pH stimuli to encapsulate and stabilize peptides from solution. Its thermoresponsive behavior enables efficient peptide concentration through repeated swelling and deswelling cycles. Strong electrostatic interactions between chitosan and peptides result in an ultrahigh data density of 2.44 × 10<sup>10</sup> GB g<sup>−1</sup>. Accelerated aging tests under thermal and enzymatic conditions demonstrate significantly enhanced peptide stability, with original information fully recovered after 3.5 days at 70 °C, equivalent to over 600 years at 9.4 °C. This work establishes a durable, high-capacity platform for long-term peptide data storage.</p>

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High-capacity information storage using peptide-encapsulated hydrogels for long-term data preservation

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月18日

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  • Benxiang Luo,
  • Songyan Gao,
  • Minghao Wu,
  • Xin Dong,
  • Xiaoyong Deng,
  • Honggang Hu

摘要

Peptide-based data storage offers a promising solution to the escalating digital data crisis. A key challenge is maintaining peptide stability over time after encoding information in amino acid sequences. Here, we present a simple and effective method to preserve peptides using a hydrogel composed of poly(N-isopropylacrylamide) and chitosan that forms a semi-interpenetrating polymer network. This hydrogel responds to temperature and pH stimuli to encapsulate and stabilize peptides from solution. Its thermoresponsive behavior enables efficient peptide concentration through repeated swelling and deswelling cycles. Strong electrostatic interactions between chitosan and peptides result in an ultrahigh data density of 2.44 × 1010 GB g−1. Accelerated aging tests under thermal and enzymatic conditions demonstrate significantly enhanced peptide stability, with original information fully recovered after 3.5 days at 70 °C, equivalent to over 600 years at 9.4 °C. This work establishes a durable, high-capacity platform for long-term peptide data storage.