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Development of prilling process for biodegradable microspheres through experimental designs.

Violet Fabien¹, Le Minh-Quan¹, Sergent Michelle²

¹LUNAM Université, Micro et Nanomédecines Biomimétiques (MINT), F-49933 Angers, France; INSERM U1066, F-49933 Angers, France.

International Journal of Pharmaceutics

|December 15, 2015

Summary

This study optimized the prilling process for producing poly(lactic-co-glycolic) acid (PLGA) microspheres without toxic solvents. These microspheres are suitable for pharmaceutical production and tissue regeneration therapies.

Keywords:

Experimental design Glycofurol Microsphere PLGA Prilling

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Area of Science:

Biomaterials Engineering
Regenerative Medicine
Pharmaceutical Technology

Background:

Poly(lactic-co-glycolic) acid (PLGA) microspheres are promising for drug delivery and tissue engineering.
Current production methods often involve toxic solvents, limiting pharmaceutical scalability.
Developing solvent-free methods is crucial for advancing regenerative therapies.

Purpose of the Study:

To develop and optimize a solvent-free prilling process for producing PLGA microspheres.
To create a scalable method for manufacturing monodispersed microspheres for pharmaceutical applications.
To establish PLGA microspheres as a viable tool for tissue regeneration.

Main Methods:

Utilized the prilling process for microsphere fabrication.
Employed experimental designs to study and optimize seventeen process parameters.
Focused on achieving high production quality and control over microsphere characteristics.

Main Results:

Successfully developed a solvent-free prilling method for PLGA microsphere production.
Identified key parameters and mechanisms governing microsphere formation.
Achieved an acceptable production quality through process optimization.

Conclusions:

The solvent-free prilling process offers a scalable and controllable method for producing PLGA microspheres.
These microspheres are suitable for pharmaceutical applications and hold potential for tissue regeneration therapies.
Further optimization confirmed the feasibility of this approach for industrial implementation.