Application of Box-Behnken design to prepare gentamicin-loaded calcium carbonate nanoparticles
Application of Box-Behnken design to prepare gentamicin-loaded calcium carbonate nanoparticles
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DOI：
10.3109/21691401.2015.1042108
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发表时间：
2016-09-01
影响因子：
5.8
通讯作者：
Adibkia, Khosro
中科院分区：
文献类型：
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作者：
Dizaj, Solmaz Maleki;Lotfipour, Farzaneh;Adibkia, Khosro
本研究的目的是制备和优化碳酸钙（CaCO 3）纳米颗粒作为硫酸庆大霉素的载体。采用化学沉淀法制备硫酸庆大霉素碳酸钙纳米粒。以CaCl 2：Na 2CO 3的摩尔比（X-1）、药物浓度（X-2）和均质速度（X-3）为自变量，采用3因素3水平Box-Behnken设计进行优化。粒径和包封率被认为是响应变量。使用数学方程和响应曲面图沿着计数器图来关联因变量和自变量。结果表明，均质速度是影响微球粒径和包封率的主要因素。还评估了所有三个独立变量的综合效应。使用响应优化设计，预测优化的X1-X3水平。然后根据这些水平制备优化的处方，导致粒径为80.23 nm，包封率为30.80%。结果表明，采用化学沉淀法和Box-Behnken实验设计方法可以成功地优化载药碳酸钙纳米粒的处方。
The aim of this research was to prepare and optimize calcium carbonate (CaCO3) nanoparticles as carriers for gentamicin sulfate. A chemical precipitation method was used to prepare the gentamicin sulfate-loaded CaCO3 nanoparticles. A 3-factor, 3-level Box-Behnken design was used for the optimization procedure, with the molar ratio of CaCl2: Na2CO3 (X-1), the concentration of drug (X-2), and the speed of homogenization (X-3) as the independent variables. The particle size and entrapment efficiency were considered as response variables. Mathematical equations and response surface plots were used, along with the counter plots, to relate the dependent and independent variables. The results indicated that the speed of homogenization was the main variable contributing to particle size and entrapment efficiency. The combined effect of all three independent variables was also evaluated. Using the response optimization design, the optimized Xl-X3 levels were predicted. An optimized formulation was then prepared according to these levels, resulting in a particle size of 80.23 nm and an entrapment efficiency of 30.80%. It was concluded that the chemical precipitation technique, together with the Box-Behnken experimental design methodology, could be successfully used to optimize the formulation of drug-incorporated calcium carbonate nanoparticles.