Evidence map›Paper›PMID 39472587›Full record

ArticleNature communications2024

Collective buoyancy-driven dynamics in swarming enzymatic nanomotors.

Shuqin Chen, Xander Peetroons, Anna C Bakenecker, Florencia Lezcano, Igor S Aranson, Samuel Sánchez

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Recent Advances in Collective Behaviors of Micro/Nanomotor Swarms.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  7. Interactions Between Active Matters and Endogenous Fields.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  8. Flow-Active Liquid Marbles as Microreactors for Photocatalytic Micromotors.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  9. A roadmap for next-generation nanomotors.Nature nanotechnology · 2025
    Review
  10. Collective Dynamics of Urease-Based Nanomotors in a Chemical Gradient.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Swarms of Enzymatic Nanobots for Efficient Gene Delivery.ACS applied materials & interfaces · 2024
    Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shuqin ChenInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute for Science and Technology (BIST), Baldiri i Reixac 10-12, Barcelona, 08028, Spain.ORCID 0000-0002-1070-2618
Xander PeetroonsInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute for Science and Technology (BIST), Baldiri i Reixac 10-12, Barcelona, 08028, Spain.
Anna C BakeneckerInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute for Science and Technology (BIST), Baldiri i Reixac 10-12, Barcelona, 08028, Spain.ORCID 0000-0002-9708-3476
Florencia LezcanoInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute for Science and Technology (BIST), Baldiri i Reixac 10-12, Barcelona, 08028, Spain.ORCID 0000-0002-5033-9526
Igor S AransonDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA. isa12@psu.edu.ORCID 0000-0002-4062-5393
Samuel SánchezInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute for Science and Technology (BIST), Baldiri i Reixac 10-12, Barcelona, 08028, Spain. ssanchez@ibecbarcelona.eu.ORCID 0000-0001-9713-9997

Funding

Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya (Department of Innovation, Education and Enterprise, Government of Catalonia) 2021 SGR 01606Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya (Department of Innovation, Education and Enterprise, Government of Catalonia) 2023 FI-1 00654EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 866348Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) CEX2018-000789-S
6 · The paper itself

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.

Indexed as

UreaseAmmoniaCarbon DioxideCatalysisComputer SimulationKineticsMotionNanostructuresViscosityAmmoniaCarbon DioxideUrease

Identifiers

PMID39472587
PMCPMC11522643

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.