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首页> 外文期刊>Journal of Young Pharmacists >Use of Box-Behnken Experimental design for Optimization of process Variables in Iontophoretic delivery of Repaglinide
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Use of Box-Behnken Experimental design for Optimization of process Variables in Iontophoretic delivery of Repaglinide

机译：Box-Behnken实验设计在瑞格列奈离子电渗疗法中优化工艺变量中的应用

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Objective: In this study, a Box-Behnken design (BBD) of response surface method was used to investigate and optimize the process parameters of Repaglinide. Repaglinide is a suitable candidate for iontophoretic delivery due to its first pass metabolism and frequent dosing, hence transdermal delivery was required to improve bioavailability and patient compliance. The goal was to identify the optimum levels of independent variables intended for the dependent variable. Materials and Method: Independent variables selected were current intensity (X1), medium/pH (X2), polymer (HPMC) concentration (X3). The dependent variables studied were amount of drug permeated in 4 h (Y1: Q4), 24 h (Y2: Q24) and lag time (Y3). The BBD provided an excellent relationship between the independent and dependent variables. Mathematical equations, response surface and contour plots were used to show the interactions and discuss the results in graphic model. Results: The regression equation generated for the iontophoretic permeation was Y1 = 898.68 + 114.51X1 + 325.29X2 - 0.83X3 +142.62X1X2– 27.03X1X3–47.84X2X3-8.85X1 2 - 90.26X2 2–302.09X3 2; Y(2) = +3446.82+275.42 X1+1092.93 X2+37.23 X3+136.49 X1X2-114.52 X1X3-241.01 X2X3-164.78 X1 2-487.25 X2 2-990.88 X3 2. The results of statistics between factorial and theoretical profiles were used to select optimized critical process parameters. Conclusion: Thus, it was concluded that optimal use of amount of polymer and current intensity in the permeation of drug could increase the bioavailability and the interactions can be defined as a regression model which is statistically significant.
机译：目的：本研究采用响应面的Box-Behnken设计（BBD）来研究和优化瑞格列奈的工艺参数。瑞格列奈由于其首过代谢和频繁给药而成为离子电渗疗法的合适候选者，因此需要透皮给药以提高生物利用度和患者依从性。目的是确定旨在用于因变量的自变量的最佳水平。材料和方法：选择的自变量为电流强度（X 1 ），介质/ pH（X 2 ），聚合物（HPMC）浓度（X 3 ）。研究的因变量是在4 h（Y 1 ：Q 4 ），24 h（Y 2 ：Q 24 ）和滞后时间（Y 3 ）。 BBD在自变量和因变量之间提供了极好的关系。使用数学方程，响应面和轮廓图来显示相互作用并在图形模型中讨论结果。结果：产生的离子电渗渗透的回归方程为Y 1 = 898.68 + 114.51X 1 + 325.29X 2 -0.83X 3 + 142.62X 1 X 2 – 27.03X 1 X 3 –47.84X 2 X 3 -8.85X 1 2-90.26X 2 2–302.09X 3 2; Y（2）= + 3446.82 + 275.42 X 1 +1092.93 X 2 +37.23 X 3 +136.49 X 1 X 2 -114.52 X 1 X 3 -241.01 X 2 X 3 -164.78 X 1 2 -487.25 X 2 2 -990.88 X 3 < sup> 2 。阶乘和理论曲线之间的统计结果用于选择优化的关键过程参数。结论：因此，可以得出结论，在药物渗透过程中最佳使用聚合物量和电流强度可以提高生物利用度，并且可以将相互作用定义为具有统计学意义的回归模型。

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