Controlling and predicting droplet size of nanoemulsions: Scaling relations with experimental validation

Ankur Gupta, H. Burak Eral, T. Alan Hatton, Patrick S. Doyle

Research output: Contribution to journalArticleScientificpeer-review

51 Citations (Scopus)

Abstract

Nanoemulsions possess powerful nano-scale properties that make them attractive for diverse applications such as drug delivery, food supplements, nanoparticle synthesis and pharmaceutical formulation. However, there is little knowledge in nanoemulsion literature about controlling and predicting droplet size. In this article, we propose a scaling relation to predict the dependence of nanoemulsion droplet size with physical properties such as viscosity of the droplet phase and continuous phase, and process parameters such as input power density. We validate our proposed scaling with a wide range of droplet size data from nanoemulsions prepared with high pressure homogenization and ultrasonication. Our proposed scaling also compares favorably with experimental data from literature. The scaling relation can serve as a guiding principle for rational design of nanoemulsions.

Original languageEnglish
Pages (from-to)1452-1458
JournalSoft Matter
Volume12
Issue number5
DOIs
Publication statusPublished - 2016

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