High-capacity information storage using peptide-encapsulated hydrogels for long-term data preservation
Year: 2025
Type: article
Abstract: 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. The exponential growth of digital information necessitates better data storage solutions. Here, a hydrogel composed of poly(Nisopropylacrylamide) and chitosan is developed as a peptide-based storage media, achieving an ultrahigh data density of 2.44 × 10¹⁰ GB g-1.
Source: Communications Materials
Institution: Shanghai University
Language: English
Topic: DNA and Biological Computing
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,690
OpenAlex ID: W4413287931