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Programmable nano-reactors for stochastic sensing

Author

Listed:
  • Wendong Jia

    (Nanjing University
    Nanjing University)

  • Chengzhen Hu

    (Nanjing University
    Nanjing University)

  • Yuqin Wang

    (Nanjing University
    Nanjing University)

  • Yuming Gu

    (Nanjing University
    Nanjing University)

  • Guangrui Qian

    (Intelligence Qubic Technology Co. Ltd)

  • Xiaoyu Du

    (Nanjing University
    Nanjing University)

  • Liying Wang

    (Nanjing University
    Nanjing University)

  • Yao Liu

    (Nanjing University
    Nanjing University)

  • Jiao Cao

    (Nanjing University
    Nanjing University)

  • Shanyu Zhang

    (Nanjing University
    Nanjing University)

  • Shuanghong Yan

    (Nanjing University
    Nanjing University)

  • Panke Zhang

    (Nanjing University)

  • Jing Ma

    (Nanjing University)

  • Hong-Yuan Chen

    (Nanjing University)

  • Shuo Huang

    (Nanjing University
    Nanjing University)

Abstract

Chemical reactions of single molecules, caused by rapid formation or breaking of chemical bonds, are difficult to observe even with state-of-the-art instruments. A biological nanopore can be engineered into a single molecule reactor, capable of detecting the binding of a monatomic ion or the transient appearance of chemical intermediates. Pore engineering of this type is however technically challenging, which has significantly restricted further development of this technique. We propose a versatile strategy, “programmable nano-reactors for stochastic sensing” (PNRSS), by which a variety of single molecule reactions of hydrogen peroxide, metal ions, ethylene glycol, glycerol, lactic acid, vitamins, catecholamines or nucleoside analogues can be observed directly. PNRSS presents a refined sensing resolution which can be further enhanced by an artificial intelligence algorithm. Remdesivir, a nucleoside analogue and an investigational anti-viral drug used to treat COVID-19, can be distinguished from its active triphosphate form by PNRSS, suggesting applications in pharmacokinetics or drug screening.

Suggested Citation

  • Wendong Jia & Chengzhen Hu & Yuqin Wang & Yuming Gu & Guangrui Qian & Xiaoyu Du & Liying Wang & Yao Liu & Jiao Cao & Shanyu Zhang & Shuanghong Yan & Panke Zhang & Jing Ma & Hong-Yuan Chen & Shuo Huang, 2021. "Programmable nano-reactors for stochastic sensing," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26054-9
    DOI: 10.1038/s41467-021-26054-9
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    Cited by:

    1. Erdmann, Melinda & Pietrzyk, Irena Magdalena & Schneider, Juliana & Helbig, Marcel & Jacob, Marita & Allmendinger, Jutta, 2022. "Bildungsungleichheit nach der Hochschulreife - das lässt sich ändern: Eine Untersuchung der Wirksamkeit eines intensiven Beratungsprogramms 1,5 Jahre nach dem Abitur," Discussion Papers, Presidential Department P 2022-002, WZB Berlin Social Science Center.
    2. Vishal Maingi & Zhao Zhang & Chris Thachuk & Namita Sarraf & Edwin R. Chapman & Paul W. K. Rothemund, 2023. "Digital nanoreactors to control absolute stoichiometry and spatiotemporal behavior of DNA receptors within lipid bilayers," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Gregory Korotenko & Leonid Korotenko, 2021. "Formation of a Programming Languages Stack and a methodology of teaching to students specialized in Computer Science at Technical Universities in the context of interdisciplinarity," Technium Sustainability, Technium Science, vol. 1(1), pages 21-33.
    4. Pingping Fan & Zhenyuan Cao & Shanyu Zhang & Yuqin Wang & Yunqi Xiao & Wendong Jia & Panke Zhang & Shuo Huang, 2024. "Nanopore analysis of cis-diols in fruits," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    5. repec:thr:techub:v:1:y:2021:i:1:p:21-33 is not listed on IDEAS

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