Self-Nanoemulsification of Healthy Oils to Enhance the Solubility of Lipophilic Drugs.

Journal of visualized experiments : JoVE(2022)

引用 2|浏览4
暂无评分
摘要
The low aqueous solubility of many drugs reduces their bioavailability in the blood. Oils have been used for centuries to enhance the solubility of drugs; however, they can disturb the lipid profile of the patients. In this study, self-nanoemulsifying drug delivery systems of omega-3 fatty acids-rich oils are prepared and optimized for the delivery of lipophilic drugs. Rosuvastatin, a potent hypolipidemic drug, was used as a model lipophilic drug. Fish oil showed more than 7-fold higher solubility of rosuvastatin than other oils and therefore it was selected for the development of self-nanoemulsifying drug delivery systems (SNEDDS). Different combinations of surfactants and co-surfactants were screened and a surfactant mixture of Tween 80 (surfactant) and Capryol PGMC (cosurfactant) were selected for compatibility with fish oil and rosuvastatin. A pseudoternary phase diagram of oil, surfactant, and co-surfactant was designed to identify the emulsion region. The pseudoternary phase diagram predicted a 1:3 oil and surfactant mixture as the most stable ratio for the emulsion system. Then, a response-surface methodology (Box-Behnken design) was applied to calculate the optimal composition. After 17 runs, fish oil, Tween 80, and Capryol PGMC in proportions of 0.399, 0.67, and 0.17, respectively, were selected as the optimized formulation. The self-nanoemulsifying drug delivery systems showed excellent emulsification potential, robustness, stability, and drug release characteristics. In the drug release studies, SNEDDS released 100% of the payload in around 6 h whereas, release of the plain drug was less than 70% even after 12 h. Therefore, omega-3 fatty acids-rich healthy lipids have enormous potential to enhance the solubility of lipophilic drugs whereas, self-emulsification can be used as a simple and feasible approach to exploit this potential.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要