Evidence map›Paper›PMID 39081390›Full record

ArticleDevice2024

Scalable high-throughput microfluidic separation of magnetic microparticles.

Hongri Gu, Yonglin Chen, Anton Lüders, Thibaud Bertrand, Emre Hanedan, Peter Nielaba, Clemens Bechinger, Bradley J Nelson

Abstract read
In one paragraph

Article in Device, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Hongri GuDepartment of Physics, University of Konstanz, Konstanz 78464, Germany.
Yonglin ChenInstitute of Robotics and Intelligent Systems, ETH Zurich, Zurich CH-8092, Switzerland.
Anton LüdersDepartment of Physics, University of Konstanz, Konstanz 78464, Germany.
Thibaud BertrandInstitute of Robotics and Intelligent Systems, ETH Zurich, Zurich CH-8092, Switzerland.
Emre HanedanInstitute of Robotics and Intelligent Systems, ETH Zurich, Zurich CH-8092, Switzerland.
Peter NielabaDepartment of Physics, University of Konstanz, Konstanz 78464, Germany.
Clemens BechingerDepartment of Physics, University of Konstanz, Konstanz 78464, Germany.
Bradley J NelsonInstitute of Robotics and Intelligent Systems, ETH Zurich, Zurich CH-8092, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID39081390
PMCPMC11285115

What OpenQuestion holds

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Registered trials

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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.