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使用响应面法优化电纺铌钨氧化物纳米纤维的直径

Optimization of the Electrospun Niobium-Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology.

作者信息

Fatile Babajide Oluwagbenga, Pugh Martin, Medraj Mamoun

机构信息

Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.

出版信息

Nanomaterials (Basel). 2021 Jun 23;11(7):1644. doi: 10.3390/nano11071644.

Abstract

The present research aimed to investigate the effect of working parameters on the electrospinning of niobium-tungsten oxide nanofibers and optimize the process using central composite design (CCD) based on the response surface methodology (RSM). An experiment was designed to assess the effects of five variables including the applied voltage (V), spinning distance (D), polymer concentration (P), flow rate (F), and addition of NaCl (N) on the resulting diameter of the nanofibers. Meanwhile, a second-order prediction model of nanofibers diameter was fitted and verified using analysis of variance (ANOVA). The results show that the diameter of the nanofibers was significantly influenced by all the variables except the flow rate. Some second-order and cross factor interactions such as VD, DP, PF, PN, and P also have significant effects on the diameter of the nanofibers. The results of the ANOVA yielded and adjusted values of 0.96 and 0.93 respectively, this affirmed that the predictive model fitted well with the experimental data. Furthermore, the process parameters were optimized using the CCD method and a maximum desirability function of 226 nm was achieved for the diameter of the nanofibers. This is very close to the 233 nm diameter obtained from a confirmatory experiment using the optimum conditions. Therefore, the model is representative of the process, and it could be used for future studies for the reduction of the diameter of electrospun nanofibers.

摘要

本研究旨在探究工作参数对铌钨氧化物纳米纤维静电纺丝的影响,并基于响应面法(RSM)使用中心复合设计(CCD)对工艺进行优化。设计了一项实验来评估五个变量的影响,这些变量包括施加电压(V)、纺丝距离(D)、聚合物浓度(P)、流速(F)以及氯化钠(N)的添加量对所得纳米纤维直径的影响。同时,使用方差分析(ANOVA)对纳米纤维直径的二阶预测模型进行拟合和验证。结果表明,除流速外,所有变量均对纳米纤维直径有显著影响。一些二阶和交叉因素相互作用,如VD、DP、PF、PN和P,也对纳米纤维直径有显著影响。方差分析结果分别得出 和调整后的 值为0.96和0.93,这证实了预测模型与实验数据拟合良好。此外,使用CCD方法对工艺参数进行了优化,纳米纤维直径实现了226 nm的最大可取性函数。这与使用最佳条件进行的验证实验获得的233 nm直径非常接近。因此,该模型代表了该工艺,可用于未来关于减小静电纺纳米纤维直径的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/8304716/28b0600be57b/nanomaterials-11-01644-g001.jpg

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