Combined Funnel, Concentrator, and Particle Valve Functional Element for Magnetophoretic Bead Transport Based on Engineered Magnetic Domain Patterns.

ion bombardment induced magnetic patterning lab-on-a-chip magnetic domain engineering magnetic field landscapes magnetic particle transport superparamagnetic beads

Journal

Small (Weinheim an der Bergstrasse, Germany)
ISSN: 1613-6829
Titre abrégé: Small
Pays: Germany
ID NLM: 101235338

Informations de publication

Date de publication:
27 Oct 2023
Historique:
revised: 25 09 2023
received: 06 07 2023
medline: 27 10 2023
pubmed: 27 10 2023
entrez: 27 10 2023
Statut: aheadofprint

Résumé

Controlled actuation of superparamagnetic beads (SPBs) within a microfluidic environment using tailored dynamic magnetic field landscapes (MFLs) is a potent approach for the realization of point-of-care diagnostics within Lab-on-a-chip (LOC) systems. Making use of an engineered magnetic domain pattern as the MFL source, a functional LOC-element with combined magnetophoretic "funnel", concentrator, and "valve" functions for micron-sized SPBs is presented. A parallel-stripe domain pattern design with periodically decreasing/increasing stripe lengths is fabricated in a topographically flat continuous exchange biased (EB) thin film system by ion bombardment induced magnetic patterning (IBMP). It is demonstrated that, upon application of external magnetic field pulses, a fully reversible concentration of SPBs at the domain pattern's focal point occurs. In addition, it is shown that this functionality may be used as an SPB "funnel", allowing only a maximum number of particles to pass through the focal point. Adjusting the pulse time length, the focal point can be clogged up for incoming SPBs, resembling an on/off switchable particle "valve". The observations are supported by quantitative theoretical force considerations.

Identifiants

pubmed: 37888794
doi: 10.1002/smll.202305675
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2305675

Informations de copyright

© 2023 The Authors. Small published by Wiley-VCH GmbH.

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Auteurs

Rico Huhnstock (R)

Institute of Physics and Center for Interdisciplinary Nanostructure Science and Technology (CINSaT), University of Kassel, Heinrich-Plett-Str. 40, D-34132, Kassel, Germany.
Artificial Intelligence Methods for Experiment Design (AIM-ED), Joint Lab of Helmholtzzentrum für Materialien und Energie, Berlin (HZB) and University of Kassel, Hahn Meitner-Platz 1, D-14109, Berlin, Germany.

Lukas Paetzold (L)

Institute of Physics and Center for Interdisciplinary Nanostructure Science and Technology (CINSaT), University of Kassel, Heinrich-Plett-Str. 40, D-34132, Kassel, Germany.
Artificial Intelligence Methods for Experiment Design (AIM-ED), Joint Lab of Helmholtzzentrum für Materialien und Energie, Berlin (HZB) and University of Kassel, Hahn Meitner-Platz 1, D-14109, Berlin, Germany.

Maximilian Merkel (M)

Institute of Physics and Center for Interdisciplinary Nanostructure Science and Technology (CINSaT), University of Kassel, Heinrich-Plett-Str. 40, D-34132, Kassel, Germany.
Artificial Intelligence Methods for Experiment Design (AIM-ED), Joint Lab of Helmholtzzentrum für Materialien und Energie, Berlin (HZB) and University of Kassel, Hahn Meitner-Platz 1, D-14109, Berlin, Germany.

Piotr Kuświk (P)

Institute of Molecular Physics, Polish Academy of Sciences, M. Smoluchowskiego 17, Poznań, 60-179, Poland.

Arno Ehresmann (A)

Institute of Physics and Center for Interdisciplinary Nanostructure Science and Technology (CINSaT), University of Kassel, Heinrich-Plett-Str. 40, D-34132, Kassel, Germany.
Artificial Intelligence Methods for Experiment Design (AIM-ED), Joint Lab of Helmholtzzentrum für Materialien und Energie, Berlin (HZB) and University of Kassel, Hahn Meitner-Platz 1, D-14109, Berlin, Germany.

Classifications MeSH