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Cited by 273

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

Functionalized magnetic nanoparticles as chemosensors and adsorbents for toxic metal ions in environmental and biological fields

Jung, Jong Hwa, Lee, Ji Ha, Shinkai, Seiji·2011·Chemical Society Reviews

Abstract

Functionalized magnetic nanoparticles, composed of both inorganic and organic components, have recently been examined as promising platforms for detection and separation applications. This unique class of nanomaterials can retain not only beneficial features of both the inorganic and organic components, but can also provide the ability to systematically tune the properties of the hybrid materials through the combination of appropriate functional components. This tutorial review focuses on the recent development of functionalized magnetic nanoparticles for use in biological and environmental applications, in which these chromogenic and fluorogenic chemosensors can selectively detect and separate specific toxic metal ions.

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Metadata

Authors
Jung, J. H., Lee, J. H., & Shinkai, S.
Venue
Chemical Society Reviews
Published
2011
Volume
40
Issue
9
Pages
4464
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W1982320555
Cited by
273
References
50
FWCI
1.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Functionalized magnetic nanoparticles as chemosensors and adsorbents for toxic metal ions in environmental and biological fields. https://app.cochat.ai/papers/10.1039/c1cs15051k
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Jung, J. H., Lee, J. H., & Shinkai, S. (2011). Functionalized magnetic nanoparticles as chemosensors and adsorbents for toxic metal ions in environmental and biological fields. Chemical Society Reviews. https://doi.org/10.1039/c1cs15051k

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.