(136e) Oil-in-Water-in-Oil Double Nanoemulsions: Structure and Stability | AIChE

(136e) Oil-in-Water-in-Oil Double Nanoemulsions: Structure and Stability

Authors 

Malo de Molina, P. - Presenter, University of California, Santa Barbara
Bayles, A. V. - Presenter, University of California, Santa Barbara
Lad, S. - Presenter, University of California, Santa Barbara
Helgeson, M. - Presenter, University of California - Santa Barbara

Double emulsions have enabled the preparation of colloids with sophisticated internal structure and function due to their ability to encapsulate and compartmentalize. Typical methods for preparing double emulsions include a two-step process of first forming an oil-in-water emulsion, followed by emulsification of this mixture in oil, which leads to rather large polydisperse double emulsions, and microfluidic methods that produce micrometer size monodisperse double emulsions. The synthesis of nanometer-scale double emulsions remains a significant challenge, the solution to which would open up new possibilities for creating structured nanoparticles.

Here, we demonstrate that oil-in-water-in-oil (OWO) double nanoemulsions, with both inner and outer droplets under 100 nm, can be prepared with ultrasonication using a mixture of conventional ethoxylated co-surfactants. Specifically, we examine the non-equilibrium behavior of water/cyclohexane in a wide range of water and surfactant concentrations. Detailed structural analysis by small angle neutron scattering shows that the nanoemulsion structure can be varied between simple water-in-oil nanoemulsions, or OWO double nanoemulsions containing either one or multiple inner-droplets, depending on the surfactant composition, i.e. the total surfactant concentration and average surfactant HLB, and the water volume fraction. We also study the kinetic evolution of droplet structure to examine the stability of the double nanoemulsions. Our results demonstrate that it is possible to control both the internal structure and stability of double nanoemulsions by systematically tuning the average interfacial curvature.