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Comparative scale-up of three methods for producing ibuprofen-loaded nanoparticles
Sergio A Galindo-Rodríguez1, François Puel, Stephanie Briançon
1Pharmapeptides, Centre Interuniversitaire de recherche et d'enseignement, 74166 Archamps, France.
Summary
Scaling up polymeric nanoparticle production for pharmaceuticals is crucial. This study successfully scaled three methods, showing reproducible nanoparticle characteristics with slight size and drug loading reductions at pilot scale.
Area of Science:
- Pharmaceutical Technology
- Materials Science
- Chemical Engineering
Background:
- Scaling-up polymeric nanoparticle (NP) production is vital for pharmaceutical applications.
- Limited data on scaling manufacturing processes hinders market introduction of colloidal carriers.
Purpose of the Study:
- To assess the pilot-scale manufacturing of ibuprofen-loaded polymeric nanoparticles (NP).
- To investigate the influence of hydrodynamic conditions on NP characteristics during scale-up.
- To compare three distinct NP production methods: salting-out, emulsification-diffusion, and nanoprecipitation.
Main Methods:
- Pilot-scale production of NP by increasing batch volume 20-fold (60 ml to 1.5 l).
- Utilized Eudragit L100-55 polymer and poly(vinyl alcohol) (PVAL) emulsifying agent.
- Investigated effects of stirring rates (790–2000 rpm) on NP size, drug content, residual PVAL, and morphology.
Main Results:
- NP mean sizes ranged from 557–174 nm (salting-out) and 562–230 nm (emulsification-diffusion) at pilot scale.
- Increased stirring rates reduced NP size due to enhanced droplet break-up.
- A power law model effectively predicted the influence of stirring rate on NP size.
- Nanoprecipitation scale-up using a continuous method yielded reproducible NP efficiently.
- Overall, NP characteristics were well-reproduced across scales, with minor reductions in size and drug loading post-scale-up.
Conclusions:
- Pilot-scale production of polymeric nanoparticles is feasible using salting-out, emulsification-diffusion, and nanoprecipitation methods.
- Hydrodynamic conditions, particularly stirring rate, significantly impact NP size and can be modeled.
- The scale-up process maintained NP characteristics, demonstrating the robustness of the chosen methods for pharmaceutical applications.