Design of superparamagnetic nanoparticles for magnetic particle imaging (MPI)
Open accessAbstract
Magnetic particle imaging (MPI) is a promising medical imaging technique producing quantitative images of the distribution of tracer materials (superparamagnetic nanoparticles) without interference from the anatomical background of the imaging objects (either phantoms or lab animals). Theoretically, the MPI platform can image with relatively high temporal and spatial resolution and sensitivity. In practice, the quality of the MPI images hinges on both the applied magnetic field and the properties of the tracer nanoparticles. Langevin theory can model the performance of superparamagnetic nanoparticles and predict the crucial influence of nanoparticle core size on the MPI signal. In addition, the core size distribution, anisotropy of the magnetic core and surface modification of the superparamagnetic nanoparticles also determine the spatial resolution and sensitivity of the MPI images. As a result, through rational design of superparamagnetic nanoparticles, the performance of MPI could be effectively optimized. In this review, the performance of superparamagnetic nanoparticles in MPI is investigated. Rational synthesis and modification of superparamagnetic nanoparticles are discussed and summarized. The potential medical application areas for MPI, including cardiovascular system, oncology, stem cell tracking and immune related imaging are also analyzed and forecasted.
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Upon surface modification, superparamagnetic iron oxide nanoparticles (SPION) can be employed for magnetic resonance imaging, magnetic particle imaging, targeted delivery of drugs, proteins, antibodies and nucleic acids, hyperthermia, biosensing, tissue repair, and separation of biomolecules.
“Upon surface-modification, the resulting superparamagnetic iron oxide nanoparticles (SPION) can be employed for magnetic resonance imaging (MRI) [4–8], magnetic particle imaging (MPI) [9–12], targeted delivery of drugs, proteins, antibodies, and nucleic acids [6, 7, 13, 14], hyperthermia [15–17], biosensing [18], tissue repair [19], and separation of biomolecules [20].”
From Iron oxide nanoparticles: Diagnostic, therapeutic and theranostic applications (2019) · cites this paper as [10]
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- Authors
- Du, Y., Lai, P., Leung, C., & Pong, P.
- Affiliations
- University of Hong Kong (HK)
- Corresponding author
- Pong, Philip
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2013-09-11
- Volume
- 14
- Issue
- 9
- Pages
- 18682-18710
- ISSN
- 1422-0067 (ISSN-L)
- PMC
- PMC3794803
- OpenAlex
- W1990564529
- Cited by
- 81
- References
- 158
- Citations by year
- 2026: 9 · 2025: 4 · 2024: 10 · 2023: 5 · 2022: 4 · 2021: 11 · 2020: 15 · 2019: 8 · 2018: 2 · 2017: 8 · 2016: 1 · 2015: 2 · 2014: 2
- FWCI
- 0.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Molecular Sciences (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion, cc-by-nc-nd)
- Funders
- University Grants Committee (Contract No. AoE/P-04/08, HKU 704911P, AOE/P-04/08)
- University of Hong Kong (HKU 704911P, AOE/P-04/08)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Characterization and Applications of Magnetic Nanoparticles
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Geomagnetism and Paleomagnetism Studies
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Keywords
- magnetic particle imaging, superparamagnetic nanoparticles, nanoparticle design, Langevin theory, core size, magnetic anisotropy, surface modification, nanoparticle synthesis, spatial resolution, sensitivity, cardiovascular imaging, tumor imaging, stem cell tracking
- MeSH terms
- Diagnostic Imaging, Magnetics, Nanoparticles
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