Silicon Nanoparticles as Hyperpolarized Magnetic Resonance Imaging Agents
Autor: | Chandrasekhar Ramanathan, C. Vo, David G. Cory, Alison L. Hill, Matthew S. Rosen, Menyoung Lee, A. C. Johnson, Ronald L. Walsworth, Robert A. Barton, Melis N. Anahtar, Maja C. Cassidy, Y. Ren, Sangeeta N. Bhatia, Ross W. Mair, Alexander C. Ogier, Charles Marcus, Jacob W. Aptekar |
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Rok vydání: | 2009 |
Předmět: |
Silicon
Materials science Mri imaging Macromolecular Substances Surface Properties Molecular Conformation Contrast Media General Physics and Astronomy chemistry.chemical_element Nanoparticle Nanotechnology 02 engineering and technology 010402 general chemistry 01 natural sciences Article Materials Testing medicine General Materials Science Particle Size Titanium medicine.diagnostic_test General Engineering Magnetic resonance imaging Image Enhancement 021001 nanoscience & nanotechnology Polarization (waves) Magnetic Resonance Imaging Nanostructures 0104 chemical sciences Nanomedicine chemistry Surface modification Crystallization 0210 nano-technology |
Zdroj: | ACS Nano. 3:4003-4008 |
ISSN: | 1936-086X 1936-0851 |
Popis: | Magnetic resonance imaging of hyperpolarized nuclei provides high image contrast with little or no background signal. To date, in-vivo applications of pre-hyperpolarized materials have been limited by relatively short nuclear spin relaxation times. Here, we investigate silicon nanoparticles as a new type of hyperpolarized magnetic resonance imaging agent. Nuclear spin relaxation times for a variety of Si nanoparticles are found to be remarkably long, ranging from many minutes to hours at room temperature, allowing hyperpolarized nanoparticles to be transported, administered, and imaged on practical time scales. Additionally, we demonstrate that Si nanoparticles can be surface functionalized using techniques common to other biologically targeted nanoparticle systems. These results suggest that Si nanoparticles can be used as a targetable, hyperpolarized magnetic resonance imaging agent with a large range of potential applications. |
Databáze: | OpenAIRE |
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