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Framboidal ABC triblock copolymer vesicles: a new class of efficient Pickering emulsifier
C J Mable1, N J Warren1, K L Thompson1
1Department of Chemistry , University of Sheffield , Brook Hill , Sheffield , South Yorkshire S3 7HF , UK . Email: o.mykhaylyk@sheffield.ac.uk ;
Chemical Science
|August 10, 2018
Summary
Rougher nanoparticles created using polymerization-induced self-assembly (PISA) significantly improve Pickering emulsion stability. These custom nanoparticles enhance adsorption efficiency, offering better performance than smooth-surfaced alternatives for emulsion formulation.
Area of Science:
- Materials Science
- Colloid and Surface Chemistry
- Polymer Chemistry
Background:
- Pickering emulsions offer superior stability and formulation control compared to traditional surfactant-stabilized emulsions.
- Polymerization-induced self-assembly (PISA) enables the creation of block copolymer nanoparticles with tunable properties for use as Pickering emulsifiers.
Purpose of the Study:
- To design and characterize framboidal ABC triblock copolymer vesicles with controlled surface roughness using PISA.
- To investigate the effect of nanoparticle surface roughness on their efficiency as Pickering emulsifiers for n-dodecane in water.
Main Methods:
- Polymerization-induced self-assembly (PISA) was employed to synthesize ABC triblock copolymer vesicles.
- Transmission electron microscopy (TEM) and small-angle X-ray scattering (SAXS) were used for nanoparticle characterization.
- Turbidimetry assays were conducted to determine nanoparticle adsorption efficiency (A_eff) at the n-dodecane/water interface.
Main Results:
- A series of model framboidal ABC triblock copolymer vesicles with tunable surface roughness were successfully synthesized.
- Nanoparticle adsorption efficiency (A_eff) at the oil-water interface strongly correlated with surface roughness, increasing from 36% to 94%.
- Rougher vesicles demonstrated significantly higher Pickering emulsifier efficiency compared to smooth-surfaced counterparts.
Conclusions:
- Appreciably rough surfaces enhance the effectiveness of nanoparticles as Pickering emulsifiers.
- PISA provides a facile method for fine-tuning nanoparticle surface roughness to optimize emulsifier performance.
- This study highlights the potential of tailored block copolymer nanoparticles for advanced emulsion stabilization.
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