Badawi Noha, El-Say Khalid, Attia Dalia, El-Nabarawi Mohamed, Elmazar Mohey, Teaima Mahmoud
Department of Pharmaceutics, Faculty of Pharmacy, The British University in Egypt, P.O. Box 11837, Cairo 11837, Egypt.
Department of Pharmaceutics, King Abdulaziz University, P.O. Box 80260, Jeddah 21589, Saudi Arabia.
ACS Omega. 2020 Aug 17;5(34):21712-21721. doi: 10.1021/acsomega.0c02618. eCollection 2020 Sep 1.
The aim of this work was to study the influence of process variables on the quality attributes of pomegranate extract loaded solid lipid nanoparticles (PE-SLNs) using Plackett-Burman design. PE-SLN formulations were prepared by hot homogenization followed by ultra-sonication technique and evaluated based on the dependent variables that were analyzed utilizing Statgraphics Centurion XV software. The lipid and surfactant (type and concentration), co-surfactant concentration, sonication time, and amplitude were selected as the independent variables ( - ). The dependent parameters were particle size, polydispersity index, zeta potential, entrapment efficiency, and cumulative drug release ( - ). Response surface plots, Pareto charts, and mathematical equations were generated to study the influence of independent variables on the dependent quality parameters. Out of seven variables, , , and have the main significant ( value < 0.05) effect on the entrapment efficiency, the cumulative drug release, the polydispersity index, respectively, while particle size was mainly affected by , and zeta potential by , , and . Consequently, this screening study revealed that stearic acid as lipid, Tween 80 as surfactant, as well as sonication with short time and high amplitude can be selected for the development of PE-SLN formulation with minimum particle size, maximum zeta potential, highest entrapment, and sustained drug release behavior. Meanwhile, concentrations of lipid, surfactant, and co-surfactant are planned to be scaled up for further optimization study. In conclusion, the Plackett-Burman design verified its influence and significance in determining and understanding both process and formulation variables affecting the quality of PE-SLNs.
本研究旨在采用Plackett-Burman设计法,研究工艺变量对负载石榴籽提取物的固体脂质纳米粒(PE-SLNs)质量属性的影响。通过热均质化结合超声技术制备PE-SLN制剂,并基于利用Statgraphics Centurion XV软件分析的因变量进行评估。选择脂质和表面活性剂(类型和浓度)、助表面活性剂浓度、超声时间和振幅作为自变量(-)。因变量包括粒径、多分散指数、zeta电位、包封率和药物累积释放量(-)。生成响应面图、帕累托图和数学方程,以研究自变量对因变量质量参数的影响。在七个变量中, 、 和 分别对包封率、药物累积释放量、多分散指数有主要显著影响(p值<0.05),而粒径主要受 、 影响,zeta电位受 、 、 影响。因此,该筛选研究表明,选择硬脂酸作为脂质、吐温80作为表面活性剂,以及短时间高振幅超声处理,可制备出粒径最小、zeta电位最大、包封率最高且具有药物缓释行为的PE-SLN制剂。同时,计划扩大脂质、表面活性剂和助表面活性剂的浓度进行进一步优化研究。总之,Plackett-Burman设计法验证了其在确定和理解影响PE-SLNs质量的工艺和制剂变量方面的影响和重要性。