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Surface Heterogeneous Nucleation-Mediated Release of Beta-Carotene from Porous Silicon

机译:表面异质成核介导的β-胡萝卜素从多孔硅释放

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摘要

We demonstrate that the release of a poorly soluble molecule from nanoporous carriers is a complex process that undergoes heterogeneous surface nucleation events even under significantly diluted release conditions, and that those events heavily affect the dynamics of release. Using beta-carotene and porous silicon as loaded molecule and carrier model, respectively, we show that the cargo easily nucleates at the pore surface during the release, forming micro- to macroscopic solid particles at the pores surface. These particles dissolve at a much slower pace, compared to the rate of dissolution of pure beta-carotene in the same solvent, and they negatively affect the reproducibility of the release experiments, possibly because their solubility depends on their size distribution. We propose to exploit this aspect to use release kinetics as a better alternative to the induction time method, and to thereby detect heterogenous nucleation during release experiments. In fact, release dynamics provide much higher sensitivity and reproducibility as they average over the entire sample surface instead of depending on statistical analysis over a small area to find clusters.
机译:我们证明,来自纳米多孔载体的可溶性分子的释放是一种复杂的方法,即使在显着稀释的释放条件下,即使在显着稀释的释放条件下也经历过均匀的表面成核事件,并且这些事件严重影响释放动态。使用β-胡萝卜素和多孔硅作为加载的分子和载体模型,我们表明货物在释放期间在孔表面易于成核,在孔表面处形成微量至宏观固体颗粒。与纯β-胡萝卜素在相同溶剂中的溶解速率相比,这些颗粒以较慢的速度溶解,并且它们可能影响释放实验的再现性,可能是因为它们的溶解度取决于其尺寸分布。我们建议利用该方面使用释放动力学作为诱导时间方法的更好的替代方法,从而在释放实验期间检测异源成核。事实上,释放动态提供了更高的灵敏度和再现性,因为它们在整个样本表面上的平均值,而不是根据小区域上找到簇的统计分析。

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