Langmuir. 2018 Sep 4;34(35):10309-10320. doi: 10.1021/acs.langmuir.8b01099. Epub 2018 Aug 20.
Using a fractionated silicone oil-in-water nanoemulsion (NEM), which has a high ratio of surface area-to-volume, we investigate surfactant partitioning between the bulk continuous phase and the adsorbed interfacial phase. By adjusting the droplet volume fraction of this fractionated NEM and by using gravimetric and electrical conductivity methods, we measure the bulk and the surface concentrations of an ionic surfactant (sodium dodecyl sulfate, SDS), thereby obtaining a raw adsorption isotherm of SDS on the interfaces of the nanodroplets. To overcome significant uncertainties in the total surface area of this nanoemulsion, we have also measured the macroscopic interfacial tension (IFT) of silicone oil in contact with aqueous SDS solutions using the du Noüy ring method. We then scale the surface concentration of this raw isotherm using an appropriate Gibbs derivative based on the IFT measurement, yielding an adjusted isotherm. We show that this adjusted isotherm can be described using a simple Langmuir equation. In addition, we show that a significant and non-negligible percentage of surfactant typically partitions to nanodroplet interfaces after high-flow-rate emulsification (HFRE) has transformed a microscale premix emulsion into a NEM. We develop a model for predicting the final bulk surfactant concentration after HFRE given the initial bulk surfactant concentration before HFRE. We show that this model can be used to predict trends for surfactant partitioning in polydisperse nanoemulsions after HFRE.
我们使用具有高表面积与体积比的分馏硅酮油包水纳米乳液(NEM),研究表面活性剂在连续相和吸附界面相之间的分配情况。通过调整分馏 NEM 的液滴体积分数,并采用重量法和电导率法,我们测量了离子型表面活性剂(十二烷基硫酸钠,SDS)在连续相和表面的浓度,从而获得 SDS 在纳米液滴界面上的原始吸附等温线。为了克服这种纳米乳液总表面积的显著不确定性,我们还使用 Du Noüy 环法测量了硅油与含 SDS 水溶液接触时的宏观界面张力(IFT)。然后,我们使用 IFT 测量值基于适当的 Gibbs 导数对原始等温线进行缩放,得到调整后的等温线。我们表明,这种调整后的等温线可以用简单的 Langmuir 方程来描述。此外,我们表明,在高流速乳化(HFRE)将微尺度预混乳液转化为 NEM 之后,大量且不可忽略的表面活性剂百分比通常会分配到纳米液滴界面上。我们开发了一个模型,用于预测 HFRE 前后初始体积表面活性剂浓度下 HFRE 后的最终体积表面活性剂浓度。我们表明,该模型可用于预测 HFRE 后多分散纳米乳液中表面活性剂分配的趋势。