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Multi-contrast magnetic particle imaging for tomographic pH monitoring using stimuli-responsive hydrogels
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  • Published: 17 January 2026

Multi-contrast magnetic particle imaging for tomographic pH monitoring using stimuli-responsive hydrogels

  • Bruno Kluwe  ORCID: orcid.org/0009-0001-3458-23661,2,
  • Justin Ackers  ORCID: orcid.org/0000-0003-1049-05281,
  • Matthias Graeser  ORCID: orcid.org/0000-0003-1472-59881,3 &
  • …
  • Anna C. Bakenecker  ORCID: orcid.org/0000-0002-9708-34761,4 

Communications Engineering , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biomaterials
  • Biomedical engineering
  • Imaging techniques
  • Sensors and probes

Abstract

Magnetic particle imaging (MPI) is a tomographic imaging technique which determines the spatial distribution of magnetic nanoparticles (MNPs). Multi-contrast MPI provides the ability to detect environmental conditions of MNPs, such as temperature or viscosity. One parameter that has not been investigated but shows high potential for medical diagnosis is the pH value, as it is an indicator of inflamed or tumorous tissue. In this work, we present an approach to resolve the pH value using multi-contrast MPI. Our proof-of-concept is based on a stimuli-responsive, magnetic hydrogel that exhibits reversible swelling in response to a pH change. The pH contrast is generated indirectly via the pH-responsive hydrogel swelling modulating the signal of embedded MNPs. Magnetic particle spectrometry measurements show that the hydrogels’ magnetic response correlates with the pH value, which could provide a new way of contactless pH monitoring. Finally, the feasibility of resolving different pH values in a multi-contrast MPI image is demonstrated.

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Data availability

All the data needed to evaluate the findings in this article are present in the article and/or in the Supplementary Information. Additional data related to this paper can be requested from the corresponding authors via email.

Code availability

The code used to perform the MPS measurements is publicly available on GitHub. You can access the code repository via the following link: https://github.com/MagneticParticleImaging/MPIMeasurements.jl. The code used for multi-contrast image reconstruction can also be accessed via the following link: https://github.com/MagneticParticleImaging/MPIReco.jl. The acquired MPI dataset and detailed reconstruction parameters are available upon reasonable request.

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Acknowledgements

Research funding: The main work has been done at the Fraunhofer IMTE, which is supported by the EU (EFRE) and the State Schleswig-Holstein, Germany (Projects: IMTE - Grant: LPW-E/1.1.1/1536, 124 20 002 and IMTE 2 - Grant: LPW21-L/2.2/262, 125 24 009). For finalization, the work was additionally funded by the DFG project “harmoMPI” (project no. 540326102) at PTB.

Funding

Open Access funding enabled and organized by Projekt DEAL.

Author information

Authors and Affiliations

  1. Fraunhofer IMTE, Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering, Lübeck, Germany

    Bruno Kluwe, Justin Ackers, Matthias Graeser & Anna C. Bakenecker

  2. Physikalisch-Technische Bundesanstalt, Berlin, Germany

    Bruno Kluwe

  3. Chair for Metrology, University of Rostock, Rostock, Germany

    Matthias Graeser

  4. Medical Engineering, Department of Electrical Engineering and Information Technology, Technical University of Darmstadt, Darmstadt, Germany

    Anna C. Bakenecker

Authors
  1. Bruno Kluwe
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  2. Justin Ackers
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Contributions

B.K., J.A., and A.B. contributed to the conceptualization of the working principle. B.K. developed the hydrogel patch fabrication and prepared the samples. B.K. and J.A. performed magnetic characterization measurements of the samples. B.K., J.A., and M.G. performed evaluation of magnetic characterization. B.K., J.A., and A.B. contributed to experiment planning and execution. A.B. and M.G. supervised the project. B.K., J.A., and A.B. contributed to writing the paper. All authors reviewed the manuscript.

Corresponding authors

Correspondence to Bruno Kluwe or Anna C. Bakenecker.

Ethics declarations

Competing interests

A.C.B. is acting as Guest Editor for a relevant collection in Communications Engineering, but was not involved in the editorial review of, nor the decision to publish this article.

Peer review

Peer review information

Communications Engineering thanks Satoshi Ota and the other anonymous reviewer(s) for their contribution to the peer review of this work. Primary Handling Editors: [Jing Zhong] and [Rosamund Daw].

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Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Kluwe, B., Ackers, J., Graeser, M. et al. Multi-contrast magnetic particle imaging for tomographic pH monitoring using stimuli-responsive hydrogels. Commun Eng (2026). https://doi.org/10.1038/s44172-026-00586-8

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  • Received: 11 June 2025

  • Accepted: 06 January 2026

  • Published: 17 January 2026

  • DOI: https://doi.org/10.1038/s44172-026-00586-8

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