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Formulation of Dacarbazine-loaded Cubosomes—Part II: Influence of Process Parameters

机译:达卡巴嗪负载的立方体的配制-第二部分:工艺参数的影响

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摘要

The purpose of this study is to investigate the combined influence of process parameters (independent variables) such as homogenization speed (X1), duration (X2), and temperature (X3) during the preparation of dacarbazine-loaded cubosomes. Box–Behnken design was used to rationalize the influence of these three factors on two responses, namely particle size (Y1) and encapsulation efficiency (Y2). Independent and dependent variables were analyzed with multiple regressions to establish a full-model second-order polynomial equation. F value was calculated to confirm the omission of insignificant parameters or interactions of parameters from the analysis to derive a reduced-model polynomial equation to predict the Y1 and Y2 of dacarbazine-loaded cubosomes. Pareto charts were also obtained to show the effects of X1, X2, and X3 on Y1 and Y2. For Y1, there was a model validated for more accurate prediction of response parameter by performing checkpoint analysis. The optimization process and Pareto charts were obtained automatically and they predicted the levels of independent parameters X1, X2, and X3 (0.889794, 0.11886, and 0.56201, respectively) and minimized Y1. The optimal process parameters (homogenization’s speed = ~24,000 rpm, duration = 5.5 min, and temperature = 76°C) led to the production of cubosomes with 85.6 nm in size and 16.7% in encapsulation efficiency. The Box–Behnken design proved to be a useful tool in the preparation and optimization of dacarbazine-loaded cubosomes. For encapsulation efficiency (Y2), further studies are needed to enhance the result and improve the model for such water-soluble drug encapsulation in cubosomes.
机译:这项研究的目的是研究在制备达卡巴嗪负载的小颗粒的过程中,工艺参数(独立变量)如均质化速度(X1),持续时间(X2)和温度(X3)的综合影响。 Box–Behnken设计用于合理化这三个因素对两个响应的影响,即粒径(Y1)和包封效率(Y2)。通过多元回归分析自变量和因变量,以建立全模型的二阶多项式方程。计算F值以确认分析中忽略了无关紧要的参数或参数之间的相互作用,从而得出简化模型的多项式方程,以预测载有达卡巴嗪的小立方体的Y1和Y2。还获得了帕累托图,以显示X1,X2和X3对Y1和Y2的影响。对于Y1,有一个通过执行检查点分析而可以更准确地预测响应参数的模型。自动获得优化过程和Pareto图,它们预测独立参数X1,X2和 X 3的水平(分别为0.889794、0.11886和0.56201)并最小化 Y 1 。最佳的工艺参数(均质化速度==〜24,000 rpm,持续时间== 5.5分钟,温度== 76°C)导致生产了尺寸为85.6 nm,封装效率为16.7%的立方脂质体。 Box–Behnken设计被证明是制备和优化达巴巴嗪负载的立方脂质体的有用工具。为了提高包封效率( Y 2 ),需要进一步研究以增强结果并改进此类水溶性药物在立方脂质体中的包封模型。

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