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Manganese-Based Nanoscale Metal−Organic Frameworks for Magnetic Resonance Imaging

Taylor, Kathryn M. L., Rieter, William J., Lin, Wenbin·2008·Journal of the American Chemical Society

Abstract

Manganese-containing nanoscale metal-organic frameworks (NMOFs) with controllable morphologies were synthesized using reverse-phase microemulsion techniques at room temperature and a surfactant-assisted procedure at 120 degrees C with microwave heating. The nanoparticles were characterized using a variety of methods including SEM, TEM, TGA, PXRD, and ICP-MS. Although the nanoparticles gave a modest longitudinal relaxivity (r1) on a per Mn basis, they provided an efficient vehicle for the delivery of large doses of Mn2+ ions which exhibited very high in vitro and in vivo r1 values and afforded excellent MR contrast enhancement. The particle surface was also modified with a silica shell to allow covalent attachment of a cyclic RGD peptide and an organic fluorophore. The cell-targeting molecules on the Mn NMOFs enhanced their delivery to cancer cells to allow for target-specific MR imaging in vitro. The MR contrast enhancement was also demonstrated in vivo using a mouse model. Such core-shell hybrid nanostructures provide an ideal platform for targeted delivery of other imaging and therapeutic agents to diseased tissues.

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Metadata

Authors
Taylor, K. M. L., Rieter, W. J., & Lin, W.
Venue
Journal of the American Chemical Society
Published
2008-10-10
Volume
130
Issue
44
Pages
14358-14359
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2063994814
Cited by
657
References
0
FWCI
22.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Manganese-Based Nanoscale Metal−Organic Frameworks for Magnetic Resonance Imaging. https://app.cochat.ai/papers/10.1021/ja803777x
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Taylor, K. M. L., Rieter, W. J., & Lin, W. (2008). Manganese-Based Nanoscale Metal−Organic Frameworks for Magnetic Resonance Imaging. Journal of the American Chemical Society. https://doi.org/10.1021/ja803777x

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

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