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Nanopore Deciphering Single Digital Polymers Towards High-Density Data Storage.
Hu, Zheng-Li; Liu, Yu-Hang; Xin, Kai-Li; Yu, Ru-Jia; Zhang, Li-Min; Ying, Yi-Lun.
Affiliation
  • Hu ZL; State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, P. R. China.
  • Liu YH; Shenzhen Research Institute of Nanjing University, Shenzhen, 518057, P. R. China.
  • Xin KL; State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, P. R. China.
  • Yu RJ; State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, P. R. China.
  • Zhang LM; State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, P. R. China.
  • Ying YL; Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing, 210023, P. R. China.
Chemistry ; 29(27): e202203919, 2023 May 11.
Article in En | MEDLINE | ID: mdl-36787024
Sequence-defined polymer is one of the most promising alternative media for high-density data storage. It could be used to alleviate the problem of insufficient storage capacity of conventional silicon-based devices for the explosively increasing data. To fulfil the goal of polymer data storage, suitable methods should be developed to accurately read and decode the information-containing polymers, especially for those composed by a combination of the natural and unnatural monomers. Nanopore-based approaches have become one of the most competitive analysis and sequencing techniques, which are expected to read both natural and synthetic polymers with single-molecule precision and monomeric resolution. Herein, this work emphasizes the advances being made in nanopore reading and decoding of information stored in the man-made polymers and DNA nanostructures, and discusses the challenges and opportunities towards the development and realization of high-density data storage.
Key words

Full text: 1 Database: MEDLINE Language: En Journal: Chemistry Journal subject: QUIMICA Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Language: En Journal: Chemistry Journal subject: QUIMICA Year: 2023 Type: Article