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Cell Labeling and Targeting with Superparamagnetic Iron Oxide Nanoparticles
Published on: October 19, 2015
Physical characterization methods for iron oxide contrast agents encapsulated within a targeted liposome-based
J A Dagata1, N Farkas, C L Dennis
1National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
Nanotechnology
|August 11, 2011
Summary
This study uses scanning probe microscopy (SPM) to characterize intact liposome-based targeted nanoparticle delivery systems (NDS). This method allows for reliable assessment of nanoparticle size, stability, and function for improved drug delivery applications.
Area of Science:
- Nanotechnology
- Materials Science
- Biomedical Engineering
Background:
- Liposome-based nanoparticle delivery systems (NDS) are crucial for targeted drug delivery.
- Characterizing NDS in a native, fluid environment is essential for understanding their behavior.
- Non-selective binding can hinder accurate assessment of NDS properties.
Purpose of the Study:
- To immobilize and characterize intact liposome-based NDS using scanning probe microscopy (SPM) in a fluid environment.
- To determine the size, size distribution, functionality, and stability of NDS.
- To integrate SPM with other techniques for comprehensive NDS analysis.
Main Methods:
- Immobilization of intact liposome-based NDS via non-selective binding.
- Characterization using scanning probe microscopy (SPM) in a fluid imaging environment.
- Complementary analysis with superconducting quantum interference device (SQUID) magnetometry, dynamic light scattering, and electron microscopy.
Main Results:
- SPM successfully characterized intact NDS in a fluid environment.
- Determined size, size distribution, functionality, and stability of NDS containing super-paramagnetic iron oxide nanoparticles.
- Combined SPM data with other techniques for a multi-faceted analysis.
Conclusions:
- SPM provides a reliable method for assessing NDS properties in a fluid environment.
- Integration of SPM into NDS formulation and manufacturing enables assessment of size-dependent properties.
- This approach facilitates reliable and reproducible evaluation of the structure-function relationship in nanoscale entities.
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