https://doi.org/10.1140/epjs/s11734-024-01312-1
Regular Article
Characterization of magnetic nanoparticles for magnetic particle spectroscopy-based sensitive cell quantification
1
Department of Interventional Radiology, Beijing Friendship Hospital, Capital Medical University Beijing, Beijing, China
2
School of Instrument and Opto-Electronic Engineering, Beihang University, Beijing, China
3
School of Engineering Medicine, Beihang University, Beijing, China
4
Ural Federal University, Ekaterinburg, Russia
5
Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Beijing, China
6
Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
7
Shen Yuan Honors College, Beihang University, Beijing, China
g
cairong@buaa.edu.cn
k
zhongjing@buaa.edu.cn
Received:
27
April
2024
Accepted:
26
August
2024
Published online:
16
September
2024
In the era of precision medicine, cell-based therapy is one of the most promising techniques to fight against cancer cells or for the regeneration of diseased tissues/organs. In cell-based therapy, sensitive and quantitative detection of cells is of great importance and interest to understand the behavior of the cells in vivo. Existing techniques, including magnetic resonance imaging, X-ray computed tomography and optical imaging, suffer from some limitation on sensitive cell quantification. In this paper, we report on the approach of sensitive and quantitative detection of magnetic nanoparticle (MNP)-labelled cells with magnetic particle spectroscopy (MPS). The influence of the MNP dynamics on the MPS signal of the MNPs is investigated and analyzed. Finally, the MPS signal of the MNPs is measured to quantify cell amount with a limit-of-detection of 200 and with a linearity of better than 98%. The work presented in this paper has great potential for providing a novel tool for in vivo cell detection and tracking during cell-based therapy.
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1140/epjs/s11734-024-01312-1.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
