Solid lipid nanoparticles (SLN) based on binary mixtures of liquid and solid lipids: a (1)H-NMR study

Area of Science:

• Materials Science
• Pharmaceutical Technology
• Physical Chemistry

Background:

• Solid lipid nanoparticles (SLN) are a promising drug delivery system.
• Enhancing payload capacity and storage stability of SLN is crucial for their application.
• Previous SLN formulations faced challenges with payload and stability.

Purpose of the Study:

• To develop novel solid lipid nanoparticles (SLN) with improved payloads and stability.
• To investigate the structural and mixing behavior of SLN incorporating liquid oils.
• To characterize the state and mobility of encapsulated oils within the SLN matrix.

Main Methods:

• Differential Scanning Calorimetry (DSC) to analyze thermal properties (melting and crystallization).
• Proton Nuclear Magnetic Resonance ((1)H-NMR) spectroscopy to characterize liquid oil domains.
• Incorporation of medium chain triglyceride oil into a glyceryl behenate matrix.

Main Results:

• Successfully incorporated liquid medium chain triglyceride oil into a solid glyceryl behenate matrix, forming solid SLN with liquid interiors.
• Observed a linear relationship between oil content and melting point depression of the matrix.
• NMR data indicated reduced oil molecule mobility and suggested uniform distribution at low oil loads, transitioning to oil clustering at higher loads.

Conclusions:

• The developed SLN exhibit enhanced properties due to the incorporation of liquid oils.
• The study provides insights into the structure-property relationships of lipid nanoparticles.
• Findings suggest potential for tailored SLN design based on oil load for specific delivery applications.