PDM College of Pharmacy, Bahadurgrah, India.
Int J Pharm. 2013 Sep 15;454(1):367-80. doi: 10.1016/j.ijpharm.2013.07.031. Epub 2013 Jul 17.
The aim of this study was to design and optimize a nano-transfersomes of Diclofenac diethylamine (DDEA) and Curcumin (CRM). A 3(3) factorial design (Box-Behnken) was used to derive a polynomial equation (second order) to construct 2-D (contour) and 3-D (Response Surface) plots for prediction of responses. The ratio of lipid to surfactant (X1), weight of lipid to surfactant (X2) and sonication time (X3) (independent variables) and dependent variables [entrapment efficiency of DDEA (Y1), entrapment efficiency of CRM (Y2), effect on particle size (Y3), flux of DDEA (Y4), and flux of CRM (Y5)] were studied. The 2-D and 3-D plots were drawn and a statistical validity of the polynomials was established to find the compositions of optimized formulation. The design established the role of the derived polynomial equation, 2-D and 3-D plots in predicting the values of dependent variables for the preparation and optimization of nano-transfersomes for transdermal drug release.
本研究旨在设计和优化双氯芬酸二乙胺(DDEA)和姜黄素(CRM)的纳米传递体。采用 3(3) 因子设计(Box-Behnken)得出多项式方程(二阶),构建 2-D(等高线)和 3-D(响应面)图以预测响应。脂质与表面活性剂的比例(X1)、脂质与表面活性剂的重量比(X2)和超声时间(X3)(自变量)和因变量[DDEA 的包封效率(Y1)、CRM 的包封效率(Y2)、对粒径的影响(Y3)、DDEA 的通量(Y4)和 CRM 的通量(Y5)]进行了研究。绘制了 2-D 和 3-D 图,并建立了多项式的统计学有效性,以找到优化配方的组成。该设计确定了导出的多项式方程、2-D 和 3-D 图在预测依赖变量值方面的作用,以用于经皮药物释放的纳米传递体的制备和优化。