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Collective buoyancy-driven dynamics in swarming enzymatic nanomotors

Author

Listed:
  • Shuqin Chen

    (Baldiri i Reixac 10-12
    Martí i Franquès 1)

  • Xander Peetroons

    (Baldiri i Reixac 10-12)

  • Anna C. Bakenecker

    (Baldiri i Reixac 10-12)

  • Florencia Lezcano

    (Baldiri i Reixac 10-12)

  • Igor S. Aranson

    (The Pennsylvania State University
    The Pennsylvania State University
    The Pennsylvania State University)

  • Samuel Sánchez

    (Baldiri i Reixac 10-12
    Passeig Lluís Companys 23)

Abstract

Enzymatic nanomotors harvest kinetic energy through the catalysis of chemical fuels. When a drop containing nanomotors is placed in a fuel-rich environment, they assemble into ordered groups and exhibit intriguing collective behaviour akin to the bioconvection of aerobic microorganismal suspensions. This collective behaviour presents numerous advantages compared to individual nanomotors, including expanded coverage and prolonged propulsion duration. However, the physical mechanisms underlying the collective motion have yet to be fully elucidated. Our study investigates the formation of enzymatic swarms using experimental analysis and computational modelling. We show that the directional movement of enzymatic nanomotor swarms is due to their solutal buoyancy. We investigate various factors that impact the movement of nanomotor swarms, such as particle concentration, fuel concentration, fuel viscosity, and vertical confinement. We examine the effects of these factors on swarm self-organization to gain a deeper understanding. In addition, the urease catalysis reaction produces ammonia and carbon dioxide, accelerating the directional movement of active swarms in urea compared with passive ones in the same conditions. The numerical analysis agrees with the experimental findings. Our findings are crucial for the potential biomedical applications of enzymatic nanomotor swarms, ranging from enhanced diffusion in bio-fluids and targeted delivery to cancer therapy.

Suggested Citation

  • Shuqin Chen & Xander Peetroons & Anna C. Bakenecker & Florencia Lezcano & Igor S. Aranson & Samuel Sánchez, 2024. "Collective buoyancy-driven dynamics in swarming enzymatic nanomotors," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53664-w
    DOI: 10.1038/s41467-024-53664-w
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    References listed on IDEAS

    as
    1. Alexander Ziepke & Ivan Maryshev & Igor S. Aranson & Erwin Frey, 2022. "Multi-scale organization in communicating active matter," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Jakia Jannat Keya & Ryuhei Suzuki & Arif Md. Rashedul Kabir & Daisuke Inoue & Hiroyuki Asanuma & Kazuki Sada & Henry Hess & Akinori Kuzuya & Akira Kakugo, 2018. "DNA-assisted swarm control in a biomolecular motor system," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    3. Jiangfan Yu & Dongdong Jin & Kai-Fung Chan & Qianqian Wang & Ke Yuan & Li Zhang, 2019. "Active generation and magnetic actuation of microrobotic swarms in bio-fluids," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
    4. Juliane Simmchen & Jaideep Katuri & William E. Uspal & Mihail N. Popescu & Mykola Tasinkevych & Samuel Sánchez, 2016. "Topographical pathways guide chemical microswimmers," Nature Communications, Nature, vol. 7(1), pages 1-9, April.
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