Recent advances on surface engineering of magnetic iron oxide nanoparticles and their biomedical applications
Abstract
Magnetic nanoparticles with appropriate surface coatings are increasingly being used clinically for various biomedical applications, such as magnetic resonance imaging, hyperthermia, drug delivery, tissue repair, cell and tissue targeting and transfection. This is because of the nontoxicity and biocompatibility demand that mainly iron oxide-based materials are predominantly used, despite some attempts to develop 'more magnetic nanomaterials' based on cobalt, nickel, gadolinium and other compounds. For all these applications, the material used for surface coating of the magnetic particles must not only be nontoxic and biocompatible but also allow a targetable delivery with particle localization in a specific area. Magnetic nanoparticles can bind to drugs and an external magnetic field can be applied to trap them in the target site. By attaching the targeting molecules, such as proteins or antibodies, at particles surfaces, the latter may be directed to any cell, tissue or tumor in the body. In this review, different polymers/molecules that can be used for nanoparticle coating to stabilize the suspensions of magnetic nanoparticles under in vitro and in vivo situations are discussed. Some selected proteins/targeting ligands that could be used for derivatizing magnetic nanoparticles are also explored. We have reviewed the various biomedical applications with some of the most recent uses of magnetic nanoparticles for early detection of cancer, diabetes and atherosclerosis.
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SPION have high magnetic moments when exposed to an external magnetic field, and no remaining magnetic moment when the magnetic field is turned off.
“SPION have high magnetic moments when exposed to an external magnetic field, and no remaining magnetic moment when the magnetic field is turned off [21].”
From Iron oxide nanoparticles: Diagnostic, therapeutic and theranostic applications (2019) · cites this paper as [21]
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- Authors
- Gupta, A. K., Naregalkar, R. R., Vaidya, V. D., & Gupta, M.
- Affiliations
- Laboratory for Nanoparticle Research, Formulation & Development Department, Torrent Research Centre, TPL, Village Bhat, Dist. Gandhinagar – 382 428, Gujarat, India.
- ORCID
- Gupta, Ajay Kumar
- Venue
- Nanomedicine
- Publisher
- Informa UK Limited
- Published
- 2007-02
- Volume
- 2
- Issue
- 1
- Pages
- 23-39
- ISSN
- 1743-5889 (ISSN-L)
- 1748-6963
- OpenAlex
- W2141214816
- Cited by
- 708
- References
- 87
- Citations by year
- 2026: 13 · 2025: 23 · 2024: 28 · 2023: 25 · 2022: 36 · 2021: 51 · 2020: 33 · 2019: 44 · 2018: 37 · 2017: 36 · 2016: 33 · 2015: 49 · 2014: 49 · 2013: 46 · 2012: 51
- FWCI
- 2.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nanomedicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Characterization and Applications of Magnetic Nanoparticles
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Physical Sciences › Materials Science › Materials Chemistry › Magnetic Properties and Synthesis of Ferrites
- Keywords
- magnetic iron oxide nanoparticles, surface coating, surface engineering, magnetic resonance imaging, hyperthermia, drug delivery, targeted drug delivery, transfection, biocompatibility, nanoparticle stabilization, targeting ligands, immunoglobulins, proteins, cancer detection, diabetes detection, atherosclerosis detection
- MeSH terms
- Biomedical Engineering, Contrast Media, Ferric Compounds, Forecasting, Image Enhancement, Magnetic Resonance Imaging, Magnetics, Surface Properties, Transfection, Molecular Probe Techniques, Drug Delivery Systems, Nanomedicine, Nanoparticles
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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