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Mathematical modeling of electrospinning process of silk fibroin/ gelatin nanofibrous mat: Comparison of the accuracy of GMDH and RSM models

机译:丝纤维蛋白/明胶纳米纤维垫静电纺丝过程的数学建模:GMDH和RSM模型精度比较

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摘要

In this study, the nanofiber mat of silk fibroin and gelatin was fabricated by electrospinning process. As biological properties of the electrospun mat are bound up with the diameter of nanofibers, the group method of data handling along with the response surface methodology were adopted in order to explore the dependency of the diameter on the variables such as blend ratio, solution concentration, and electric field. The average absolute relative deviations were calculated as 4.62% and 5.86% for the group method of data handling and response surface methodology models, respectively. Moreover, being less prone to error and exhibiting greater accuracy to predict the actual trend of diameter in comparison with the response surface methodology, the group method of data handling model was applied to predict the porosity of silk fibroin/gelatin nanofiber mat. The average absolute relative deviations were 0.71% with a high regression coefficient of R-2 = 0.99. This suggests that the group method of data handling model can fairly model the electrospinning process of the silk fibroin/gelatin nanofiber mat.
机译:在该研究中,通过静电纺丝工艺制造丝素蛋白和明胶的纳米纤维垫。作为电纺垫的生物学性质与纳米纤维的直径限制,采用了与响应面法处理的数据处理方法,以探讨直径对诸如共混物浓度,溶液浓度的变量的依赖性,和电场。分别计算平均绝对相对偏差为4.62%和5.86%,分别用于数据处理和响应面方法模型的组方法。此外,与响应面方法相比,易于误差并表现出更高的准确性,以预测直径的实际趋势,应用数据处理模型的组方法来预测丝纤维蛋白/明胶纳米纤维垫的孔隙率。平均绝对相对偏差为0.71%,r-2 = 0.99的高回归系数。这表明数据处理模型的组方法可以公平地模拟丝素蛋白/明胶纳米纤维垫的静电纺丝过程。

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