4.6 Article

Hydroxyl-PEG-Phosphonic Acid-Stabilized Superparamagnetic Manganese Oxide-Doped Iron Oxide Nanoparticles with Synergistic Effects for Dual-Mode MR Imaging

期刊

LANGMUIR
卷 35, 期 29, 页码 9474-9482

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.langmuir.9b00736

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资金

  1. project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan [CITTCD201804025]
  2. Beijing Municipal Education Commission [KM201910011009]
  3. Construction of Scientific and Technological Innovation and Service Capability - Basic Scientific Research Funding Project [PXM2018_014213_000033]
  4. National Natural Science Foundation of China [21401008, 21703005, LKJJ2016-20]
  5. Graduate Student Scientific Research Ability Promotion of BTBU

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The T-1-T2 dual-mode contrast agents for magnetic resonance imaging (MRI) can generate self-complementary confirmed T-2 and T-1 images, hence greatly improving the reliability. Facilely synthesizing nanoparticles with the ultrasensitive contrast property remains extremely challenging in nanoscience. Moreover, uncovering the mechanism correlating the signal enhancements and chemical constituents is vital for designing novel efficient synergistically enhanced T-1-T-2 dual-mode MRI nanoprobes. Herein, we report a one-pot facile method to synthesize the superparamagnetic manganese oxide-doped iron oxide (Fe3O4/MnO) nanoparticles for T-1-T-2 dual-mode MR imaging. Under external magnetic field, the local magnetic field intensities of MnO and Fe3O4 could be simultaneously enhanced through embedding MnO into Fe3O4 nanoparticles and hence can cause synergistic T-1 and T-3 contrast enhancements. Moreover, a novel and facile cost-effective method for large-scale synthesis of hydroxyl-polyethylene glycol-phosphonic acid-stabilizing ligands is designed. The facile synthetic method and surface coating strategy of superparamagnetic Fe3O4/MnO nanoparticles offer an idea for the chemical design and preparation of superparamagnetic nanoparticles with ultrasensitive MRI contrast abilities for disease evaluation and treatment.

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