Bio-inspired Acousto-magnetic Microswarm Robots with Upstream Motility.

Acoustic and Magnetic Manipulation Microfluidics Microrobots Microswarms Upstream motion

Journal

Nature machine intelligence
ISSN: 2522-5839
Titre abrégé: Nat Mach Intell
Pays: England
ID NLM: 101740243

Informations de publication

Date de publication:
Feb 2021
Historique:
entrez: 14 7 2021
pubmed: 15 7 2021
medline: 15 7 2021
Statut: ppublish

Résumé

The ability to propel against flows, i.e., to perform positive rheotaxis, can provide exciting opportunities for applications in targeted therapeutics and non-invasive surgery. To date, no biocompatible technologies exist for navigating microparticles upstream when they are in a background fluid flow. Inspired by many naturally- occurring microswimmers such as bacteria, spermatozoa, and plankton that utilize the non-slip boundary conditions of the wall to exhibit upstream propulsion, here, we report on the design and characterization of self-assembled microswarms that can execute upstream motility in a combination of external acoustic and magnetic fields. Both acoustic and magnetic fields are safe to humans, non-invasive, can penetrate deeply into the human body, and are well-developed in clinical settings. The combination of both fields can overcome the limitations encountered by single actuation methods. The design criteria of the acoustically-induced reaction force of the microswarms, which is needed to perform rolling-type motion, are discussed. We show quantitative agreement between experimental data and our model that captures the rolling behaviour. The upstream capability provides a design strategy for delivering small drug molecules to hard-to-reach sites and represents a fundamental step toward the realization of micro- and nanosystem-navigation against the blood flow.

Identifiants

pubmed: 34258513
doi: 10.1038/s42256-020-00275-x
pmc: PMC7611213
mid: EMS114744
doi:

Types de publication

Journal Article

Langues

eng

Pagination

116-124

Subventions

Organisme : European Research Council
ID : 743217
Pays : International
Organisme : European Research Council
ID : 853309
Pays : International

Déclaration de conflit d'intérêts

Competing interests. The authors declare no competing financial interests

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Auteurs

Daniel Ahmed (D)

Institute of Robotics and Intelligent Systems (IRIS), ETH Zurich, Zurich, CH-8092, Switzerland.

Alexander Sukhov (A)

Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (IEK-11), Forschungszentrum Jülich, 90429 Nürnberg, Germany.

David Hauri (D)

Institute of Robotics and Intelligent Systems (IRIS), ETH Zurich, Zurich, CH-8092, Switzerland.

Dubon Rodrigue (D)

Institute of Robotics and Intelligent Systems (IRIS), ETH Zurich, Zurich, CH-8092, Switzerland.

Maranta Gian (M)

Institute of Robotics and Intelligent Systems (IRIS), ETH Zurich, Zurich, CH-8092, Switzerland.

Jens Harting (J)

Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (IEK-11), Forschungszentrum Jülich, 90429 Nürnberg, Germany.

Bradley Nelson (B)

Institute of Robotics and Intelligent Systems (IRIS), ETH Zurich, Zurich, CH-8092, Switzerland.

Classifications MeSH