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Ferulic Acid Lecithin-Based Nano-Emulsions Prepared by Using Spontaneous Emulsification Process

机译:自发乳化法制备阿魏酸卵磷脂纳米乳液

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Ferulic acid (4-hydroxy-3-methoxycinnamic acid), an effective component of medical plant, is a phenolic acid with low toxicity that can be absorbed and easily metabolized in the human body. The solubility of Ferulic Acid (FA) is very low in aqueous solutions which can cause problem in preparation of pharmaceutical products, but it can easily be dissolved in oil/water interface of nano-emulsions. In the present work a kind of ferulic acid nano-emulsion was prepared using the spontaneous emulsification method which occurs when an organic phase and an aqueous phase are mixed A chemometrics approach has been used to optimize the size of FA nanoemulsions. The experiments were performed according to a Box-behenken experimental design, one of the most suitable experimental design for modeling studies. The effect of three experimental parameters on droplet size was studied using multivariate analysis. The factors studied and the related levels were the concentration of lecithin (0.7-2 % w/w, in aqueous phase), the concentration of tween-80 (2-8 % w/w, in aqueous phase) and sounication time (10-45 minutes). In all the experiments, the water phase was added to the organic phase including lecithin, tween-80 and FA in ethanol solvent. Then experimental droplet sizes were fitted to the polynomial model. Good descriptive and predictive ability of the model was verified as high values of the statistics R~2 (0.996) andF (112.5) were obtained for the linear relationship between predicted and experimental values of the dependent variable.
机译:阿魏酸(4-羟基-3-甲氧基肉桂酸)是药用植物的有效成分,是一种低毒的酚酸,可以在人体中吸收和代谢。阿魏酸(FA)在水溶液中的溶解度非常低,这可能会在制备药物产品时引起问题,但它很容易溶于纳米乳剂的油/水界面。在本工作中,使用自发乳化法制备了一种阿魏酸纳米乳剂,该方法是在有机相和水相混合时发生的。化学计量学方法已用于优化FA纳米乳剂的尺寸。根据Box-behenken实验设计进行实验,Box-behenken实验设计是最适合建模研究的实验设计之一。使用多元分析研究了三个实验参数对液滴尺寸的影响。研究的因素和相关的水平是卵磷脂的浓度(0.7-2%w / w,在水相中),吐温80的浓度(2-8%w / w,在水相中)和分离时间(10) -45分钟)。在所有实验中,将水相添加到乙醇溶剂中的卵磷脂,吐温80和FA等有机相中。然后将实验液滴尺寸拟合到多项式模型。验证了模型的良好描述和预测能力,因为因变量的预测值和实验值之间的线性关系获得了较高的统计量R〜2(0.996)和F(112.5)。

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