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Cited by 224

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Ultrasmall Ferrite Nanoparticles Synthesized via Dynamic Simultaneous Thermal Decomposition for High-Performance and Multifunctional T1 Magnetic Resonance Imaging Contrast Agent

Zhang, Huan, Li, Li, Liu, Xiao Li, Jiao, Ju, Ng, Cheng-Teng, Yi, Jia Bao, Luo, Yan E, Bay, Boon-Huat, Zhao, Ling Yun, Peng, Ming Li, Gu, Ning, Fan, Hai Ming·2017·ACS Nano

Abstract

Large-scale synthesis of monodisperse ultrasmall metal ferrite nanoparticles as well as understanding the correlations between chemical composition and MR signal enhancement is critical for developing next-generation, ultrasensitive T 1 magnetic resonance imaging (MRI) nanoprobes. Herein, taking ultrasmall MnFe 2 O 4 nanoparticles (UMFNPs) as a model system, we report a general dynamic simultaneous thermal decomposition (DSTD) strategy for controllable synthesis of monodisperse ultrasmall metal ferrite nanoparticles with sizes smaller than 4 nm. The comparison study revealed that the DSTD using the iron-eruciate paired with a metal-oleate precursor enabled a nucleation-doping process, which is crucial for particle size and distribution control of ultrasmall metal ferrite nanoparticles. The principle of DSTD synthesis has been further confirmed by synthesizing NiFe 2 O 4 and CoFe 2 O 4 nanoparticles with well-controlled sizes of ∼3 nm. More significantly, the success in DSTD synthesis allows us to tune both MR and biochemical properties of magnetic iron oxide nanoprobes by adjusting their chemical composition. Beneficial from the Mn 2+ dopant, the synthesized UMFNPs exhibited the highest r 1 relaxivity (up to 8.43 mM –1 s –1 ) among the ferrite nanoparticles with similar sizes reported so far and demonstrated a multifunctional T 1 MR nanoprobe for in vivo high-resolution blood pool and liver-specific MRI simultaneously. Our study provides a general strategy to synthesize ultrasmall multicomponent magnetic nanoparticles, which offers possibilities for the chemical design of a highly sensitive ultrasmall magnetic nanoparticle based T 1 MRI probe for various clinical diagnosis applications.

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Crossref · 10.1021/acsnano.6b07684

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Metadata

Authors
Zhang, H., Li, L., Liu, X. L., Jiao, J., Ng, C.-T., Yi, J. B., Luo, Y. E., Bay, B.-H., Zhao, L. Y., Peng, M. L., Gu, N., & Fan, H. M.
Venue
ACS Nano
Published
2017-04-06
Volume
11
Issue
4
Pages
3614-3631
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2604615809
Cited by
224
References
6
FWCI
9.03
Type
journal article
Language
en
Open access
closed

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