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控制和预测纳米乳液的液滴大小:具有实验验证的标度关系

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

作者信息

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

机构信息

Massachusetts Institute of Technology, Cambridge, MA, USA.

出版信息

Soft Matter. 2016 Feb 7;12(5):1452-8. doi: 10.1039/c5sm02051d. Epub 2015 Dec 8.

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.

摘要

纳米乳液具有强大的纳米级特性,这使其在药物递送、食品补充剂、纳米颗粒合成和药物制剂等多种应用中具有吸引力。然而,纳米乳液文献中关于控制和预测液滴尺寸的知识却很少。在本文中,我们提出了一种标度关系,以预测纳米乳液液滴尺寸与诸如液滴相和连续相的粘度等物理性质以及诸如输入功率密度等工艺参数之间的依赖关系。我们用来自高压均质化和超声处理制备的纳米乳液的广泛液滴尺寸数据验证了我们提出的标度关系。我们提出的标度关系与文献中的实验数据相比也具有优势。该标度关系可作为合理设计纳米乳液的指导原则。

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