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Updated: Jun 14, 2026
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PLGA Nanoparticles Formed by Single- or Double-emulsion with Vitamin E-TPGS
Published on: December 27, 2013
A study of drug release from homogeneous PLGA microstructures
Ghanashyam Acharya1, Crystal S Shin, Kumar Vedantham
1Department of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA.
Summary
The hydrogel template method creates uniform drug-PLGA microparticles with high drug loading. Particle size and drug water-solubility influence drug release kinetics, enabling predictable drug delivery.
Area of Science:
- Materials Science
- Pharmaceutical Technology
- Drug Delivery Systems
Background:
- Poly(lactic-co-glycolic acid) (PLGA) microparticles are widely used for controlled drug delivery.
- Fabricating homogeneous microparticles with predictable drug release remains a challenge.
Purpose of the Study:
- To develop a hydrogel template method for fabricating homogeneous drug-PLGA microparticles.
- To investigate the influence of particle size, shape, and drug properties on drug release kinetics.
Main Methods:
- Utilized a hydrogel template method to create drug-PLGA microparticles.
- Loaded four different drugs (felodipine, risperidone, progesterone, paclitaxel) into PLGA particles of controlled sizes (10, 20, 50 microm).
- Analyzed drug loading efficiency and in vitro drug release profiles.
Main Results:
- Achieved high drug loading (≥50%) and homogeneous particle sizes.
- Demonstrated that smaller particle size generally leads to faster drug release rates.
- Observed zero-order release kinetics for specific particle dimensions, with complete release within two weeks.
- Found initial burst release is inversely related to drug water-solubility.
Conclusions:
- The hydrogel template method enables the production of homogeneous microparticles with high drug loading and predictable sizes.
- Drug release kinetics are significantly influenced by microparticle size, shape, and the intrinsic properties of the loaded drug, particularly water-solubility.
- This method offers improved prediction and reproducibility of drug release properties for pharmaceutical formulations.
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