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Toward Portable DNA Data Storage: A Paper-Based System for Rewritable and Random Access
Qian Liu1,2, Jie Zhang1,2, Jingsong Cui3
1School of Synthetic Biology and Biomanufacturing, Tianjin University, Tianjin 300350, China.
ACS Applied Materials & Interfaces
|April 13, 2026
Summary
This study introduces a portable cellulose paper platform for DNA data storage, enabling random data access at room temperature. This low-cost method offers a practical solution for high-density, long-term data archiving.
Area of Science:
- Biotechnology
- Data Storage
- Materials Science
Background:
- DNA offers high-density, long-term data archival potential.
- Current DNA data storage methods face challenges in portability and random data access.
- Existing techniques often require specialized, bulky laboratory equipment.
Purpose of the Study:
- To develop a low-cost, portable platform for DNA data storage using cellulose paper.
- To enable random access to DNA data stored on cellulose paper at room temperature.
- To demonstrate the reusability of the cellulose paper platform for repeated data writing and reading.
Main Methods:
- Immobilizing DNA pools containing distinct files onto cellulose paper sheets.
- Assigning physical addresses to DNA locations for array preservation and random access.
- Utilizing a constant-temperature amplification reaction for in situ random data access.
- Employing the magnetic bead method for DNA pool recovery and repeated data operations.
Main Results:
- Successful immobilization and preservation of DNA data on cellulose paper.
- Achieved in situ random data access at room temperature, eliminating the need for thermocyclers.
- Demonstrated successful recovery of the original DNA pool using magnetic beads.
- Enabled three cycles of data writing and reading on the cellulose paper surface.
Conclusions:
- Cellulose paper is a viable, low-cost medium for practical and portable DNA data archiving.
- The developed method overcomes limitations of portability and random access in DNA data storage.
- This approach presents a promising solution for massive data storage challenges.
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