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Updated: May 2, 2026

Double Emulsion Generation Using a Polydimethylsiloxane PDMS Co-axial Flow Focus Device
Published on: December 25, 2015
Sonication-assisted emulsification: Analyzing different polymers in aqueous systems for microparticle preparation by
Muhaimin Muhaimin1, Anis Yohana Chaerunisaa1, Roland Bodmeier2
1Faculty of Pharmacy, Padjadjaran University, Jatinangor, Indonesia.
Sonication-assisted emulsification effectively prepares microparticles using various polymers. Polymer type significantly influences microparticle characteristics like size and morphology during the water-in-oil-in-water solvent evaporation process.
Area of Science:
- Materials Science
- Pharmaceutical Technology
- Chemical Engineering
Background:
- Sonication-assisted emulsification is a key technique for microparticle fabrication across pharmaceutical, cosmetic, and food industries.
- The double emulsion method, particularly water-in-oil-in-water (W/O/W), is crucial for creating microparticles with specific properties.
- Understanding polymer impact on emulsification and microparticle stability is vital for optimizing production.
Purpose of the Study:
- To investigate the influence of different polymers on microparticle preparation via the W/O/W double emulsion technique.
- To analyze the effect of polymer choice on emulsification, particle size, morphology, and stability.
- To explore the utility of Focused Beam Reflectance Measurement (FBRM) for online monitoring of microparticle formation.
Main Methods:
- Microparticles were prepared using a W/O/W solvent evaporation method with dichloromethane as the solvent.
- Polymers investigated included Ethyl Cellulose (EC 4 cp), Eudragit® RS 100, Eudragit® RL 100, Poly(lactic-co-glycolic acid) (PLGA RG503H), and Polycaprolactone (PCL).
- Particle size and distribution were monitored using FBRM, and morphology was characterized by Scanning Electron Microscopy (SEM).
Main Results:
- The time required for emulsion droplet transformation into solid microparticles varied significantly with polymer type (11.5 min for EC 4 cp to 56 min for PCL).
- PCL microparticles exhibited the smallest square weighted mean chord length, though not the highest chord count.
- FBRM data indicated that larger mean particle sizes correlated with longer Chord Length Distributions (CLD) and lower particle number peaks; SEM confirmed polymer-dependent morphology.
Conclusions:
- Polymer selection critically influences the microparticle formation process, including transformation time and final characteristics.
- Sonication aids in the emulsification of polymeric systems in aqueous media.
- FBRM is a valuable tool for real-time monitoring of microparticle formation and transformation during solvent evaporation, with results strongly dependent on polymer type.
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