Response surface methodology is successfully utilized for the optimization of the composition of Polycaprolactone based nanocomposite membrane. The amount of nanoclay used as the additive and Polyethylene glycol as the pore former is optimized based on the membrane properties porosity and hydrophilicity. The quadratic equations are obtained using the central composite design and the ANOVA results are validated. The values for the coefficient of determination (R-squared), adjusted R-squared, adequate precision and coefficient of variance describe the significance of the model developed for the responses, porosity and contact angle. Eigen value analysis of the Hessian matrix for each response has been carried out and the nature of optimum is found maximum for porosity and minimum for contact angle. Residual plots have been analysed to validate the obtained models and the combined interaction of the variables was analysed using contour plots and surface plots. The independent variables and their levels have been determined using batch studies with one parameter optimization. Also, the optimized composition obtained using one parameter optimization and RSM analysis is compared and the composition optimized using RSM is found to be less with better membrane porosity and contact angle.

中文翻译：

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响应面法在聚己内酯基复合膜成分优化中的应用

响应面法成功地用于优化聚己内酯基纳米复合膜的组成。基于膜性能孔隙率和亲水性优化了用作添加剂的纳米粘土和用作成孔剂的聚乙二醇的量。使用中心复合设计获得二次方程，并验证方差分析结果。决定系数 (R-squared)、调整后的 R-squared、足够的精度和方差系数的值描述了针对响应、孔隙率和接触角开发的模型的重要性。已经对每个响应进行了 Hessian 矩阵的特征值分析，发现最优的性质是孔隙率最大，接触角最小。已分析残差图以验证获得的模型，并使用等高线图和曲面图分析变量的组合交互。自变量及其水平已使用具有一个参数优化的批处理研究来确定。此外，比较了使用一个参数优化和 RSM 分析获得的优化组成，发现使用 RSM 优化的组成更少，具有更好的膜孔隙率和接触角。