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Optimized formulation of high-payload PLGA nanoparticles containing insulin-lauryl sulfate complex.

机译:含有胰岛素-十二烷基硫酸盐复合物的高负载PLGA纳米颗粒的优化配方。

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A novel poly(lactic acid-co-glycolic acid) nanoparticle loaded with insulin-lauryl sulfate complex was prepared by spontaneous emulsion solvent diffusion method. The effects of key parameters such as agitation speed, poly(vinyl alcohol) concentration, solvent composition, polymer concentration, and the volume of external aqueous phase on the properties of the nanoparticles were investigated. To enhance the drug recovery and drug content simultaneously, a response surface methodology with five-level, two-factor central composite design was employed. The weight ratio of polymer to drug and volume ratio of external aqueous phase to solvent phase were selected as controlled factors on account of their interactions found in the monofactorial investigations. The experimental datum allowed the development of quadratic models (p < .05) describing the inter-relationships between the dependent and independent variables. By solving the regression equation, and graphic analyzing the response surface contour and plots, the optimum values of the two factors were determined as 20/1 and 10/1. The optimized conditions led to 89.6% of drug recovery and 4.57% of drug content during nanoparticle preparation.
机译:通过自发乳液溶剂扩散法制备了负载胰岛素-十二烷基硫酸盐复合物的新型聚乳酸-乙醇酸共聚物纳米粒子。研究了关键参数如搅拌速度,聚乙烯醇浓度,溶剂组成,聚合物浓度和外部水相体积对纳米粒子性能的影响。为了同时提高药物回收率和药物含量,采用了具有五级两要素中心复合设计的响应面方法。考虑到它们在单因素研究中的相互作用,选择聚合物与药物的重量比和外部水相与溶剂相的体积比作为控制因素。实验数据允许描述因变量和自变量之间的相互关系的二次模型(p <.05)的发展。通过求解回归方程,并对响应表面的轮廓和曲线进行图形分析,将这两个因子的最佳值确定为20/1和10/1。优化的条件导致在纳米颗粒制备过程中药物回收率为89.6%,药物含量为4.57%。

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