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Published on: June 20, 2019
Scale-up of polyamide and polyester Parsol® MCX nanocapsules by interfacial polycondensation and solvent diffusion
Marianna Stumpo1, Cecilia Anselmi, Christine Vauthier
1Université Paris-Sud, Institut Galien Paris Sud, UMR CNRS 8612, Faculté de Pharmacie, 5, Rue J.B. Clément, 92296 Châtenay-Malabry cedex, France.
International Journal of Pharmaceutics
|July 10, 2013
Summary
Researchers successfully scaled up oil-containing nanocapsule production to 1,500 mL using a Y-shaped mixer. Nanoparticle size was controlled by process parameters, revealing a power-law relationship with turbulence for consistent formulation.
Area of Science:
- Materials Science
- Chemical Engineering
- Nanotechnology
Background:
- Scaling up nanocapsule production is crucial for industrial applications.
- Interfacial polycondensation and solvent diffusion are common methods for nanocapsule synthesis.
- Controlling nanoparticle size without altering formulation remains a challenge.
Purpose of the Study:
- To achieve scale-up of oil-containing nanocapsules using interfacial polycondensation and solvent diffusion.
- To investigate the influence of process parameters on nanocapsule size.
- To establish a predictive model for nanocapsule size control.
Main Methods:
- Simultaneous interfacial polycondensation and solvent diffusion.
- Utilized a Y-shaped mixer for scale-up up to 1,500 mL.
- Varied process parameters (e.g., Reynolds number) to control nanocapsule size.
Main Results:
- Successful production of up to 1,500 mL of nanocapsules.
- Nanocapsule size (646–211 nm) was modulated by process parameters without formulation changes.
- A power-law relationship between nanocapsule diameter and Reynolds number was identified.
- High turbulence was identified as key for size control.
- Encapsulation efficiency exceeded 98% at both lab and pilot scales.
- In vitro release of active ingredients was reproducible at pilot scale.
Conclusions:
- Scale-up of nanocapsule production via interfacial polycondensation and solvent diffusion is feasible.
- Nanoparticle size can be precisely controlled through process parameters, particularly turbulence.
- A power-law model enables prediction of nanocapsule size for various formulations.
- The developed method ensures high encapsulation efficiency and reproducible release profiles at scale.

