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使用响应面法对静电纺聚己内酯和纳米羟基磷灰石复合纳米纤维进行工艺优化。

Process optimization of electrospun polycaprolactone and nanohydroxyapatite composite nanofibers using response surface methodology.

作者信息

Doustgani A, Vasheghani-Farahani E, Soleimani M, Hashemi-Najafabadi S

机构信息

Biotechnology Group, Department of Chemical Engineering, Tarbiat Modares University, P.O. Box 14115-114, Tehran, Iran.

出版信息

J Nanosci Nanotechnol. 2013 Jul;13(7):4708-14. doi: 10.1166/jnn.2013.7188.

DOI:10.1166/jnn.2013.7188
PMID:23901494
Abstract

Electrospinning is a process that produces continuous polymer fibers in the sub-micron range through the action of an external electric field imposed on a polymer solution or melt. In this study the effects of process parameters on the mean diameter of electrospun polycaprolactone and nanohydroxyapatite (nHA) composite nanofibers were investigated. The fiber morphology and mean fiber diameter of prepared nanofibers were investigated by scanning electron microscopy. Response surface methodology (RSM) was utilized to design the experiments at the settings of nHA concentration, applied voltage, spinning distance and the flow rate of polymer solution. It also used to find and evaluate a quantitative relationship between electrospinning parameters and average fiber diameters. Mean fiber diameter was correlated to these variables using a third order polynomial function. Value of R-square for the model was 0.96, which indicates that 96% of the variability in the dependent variable could be explained and only 4% of the total variations cannot be explained by the model. It was found that nHA concentration, applied voltage and spinning distance were the most effective parameters and the sole effect of flow rate was not important. The predicted fiber diameters were in good agreement with the experimental results.

摘要

静电纺丝是一种通过对聚合物溶液或熔体施加外部电场作用来生产亚微米范围内连续聚合物纤维的工艺。在本研究中,研究了工艺参数对静电纺聚己内酯和纳米羟基磷灰石(nHA)复合纳米纤维平均直径的影响。通过扫描电子显微镜研究了制备的纳米纤维的纤维形态和平均纤维直径。采用响应面法(RSM)在nHA浓度、施加电压、纺丝距离和聚合物溶液流速的设定下设计实验。它还用于寻找和评估静电纺丝参数与平均纤维直径之间的定量关系。使用三阶多项式函数将平均纤维直径与这些变量相关联。该模型的决定系数R²值为0.96,这表明96%的因变量变异性可以得到解释,只有4%的总变异不能由该模型解释。结果发现,nHA浓度、施加电压和纺丝距离是最有效的参数,流速的单独作用并不重要。预测的纤维直径与实验结果吻合良好。

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Process optimization of electrospun polycaprolactone and nanohydroxyapatite composite nanofibers using response surface methodology.使用响应面法对静电纺聚己内酯和纳米羟基磷灰石复合纳米纤维进行工艺优化。
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