Scalable high-throughput microfluidic separation of magnetic microparticles.


Journal

Device
ISSN: 2666-9986
Titre abrégé: Device
Pays: United States
ID NLM: 9918646081706676

Informations de publication

Date de publication:
19 Jul 2024
Historique:
received: 30 12 2023
revised: 05 01 2024
accepted: 01 05 2024
medline: 31 7 2024
pubmed: 31 7 2024
entrez: 31 7 2024
Statut: ppublish

Résumé

Surface-engineered magnetic microparticles are used in chemical and biomedical engineering due to their ease of synthesis, high surface-to-volume ratio, selective binding, and magnetic separation. To separate them from fluid suspensions, existing methods rely on the magnetic force introduced by the local magnetic field gradient. However, this strategy has poor scalability because the magnetic field gradient decreases rapidly as one moves away from the magnets. Here, we present a scalable high-throughput magnetic separation strategy using a rotating permanent magnet and two-dimensional arrays of micromagnets. Under a dynamic magnetic field, nickel micromagnets allow the surrounding magnetic microparticles to self-assemble into large clusters and effectively propel themselves through the flow. The collective speed of the microparticle swarm reaches about two orders of magnitude higher than the gradient-based separation method over a wide range of operating frequencies and distances from a rotating magnet.

Identifiants

pubmed: 39081390
doi: 10.1016/j.device.2024.100403
pii: S2666-9986(24)00239-4
pmc: PMC11285115
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100403

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

Auteurs

Hongri Gu (H)

Department of Physics, University of Konstanz, Konstanz 78464, Germany.
Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich CH-8092, Switzerland.

Yonglin Chen (Y)

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

Anton Lüders (A)

Department of Physics, University of Konstanz, Konstanz 78464, Germany.

Thibaud Bertrand (T)

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

Emre Hanedan (E)

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

Peter Nielaba (P)

Department of Physics, University of Konstanz, Konstanz 78464, Germany.

Clemens Bechinger (C)

Department of Physics, University of Konstanz, Konstanz 78464, Germany.

Bradley J Nelson (BJ)

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

Classifications MeSH