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

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 fi...

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Main Authors: Babajide Oluwagbenga Fatile, Martin Pugh, Mamoun Medraj
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Nanomaterials
Subjects:
Online Access:https://www.mdpi.com/2079-4991/11/7/1644
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spelling doaj-6da57fdb11864701bd4cec157aa6def42021-07-23T13:57:12ZengMDPI AGNanomaterials2079-49912021-06-01111644164410.3390/nano11071644Optimization of the Electrospun Niobium–Tungsten Oxide Nanofibers Diameter Using Response Surface MethodologyBabajide Oluwagbenga Fatile0Martin Pugh1Mamoun Medraj2Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, CanadaDepartment of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, CanadaDepartment of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, CanadaThe 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<sup>2</sup> also have significant effects on the diameter of the nanofibers. The results of the ANOVA yielded <i>R</i><sup>2</sup> and adjusted <i>R</i><sup>2</sup> 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.https://www.mdpi.com/2079-4991/11/7/1644niobium–tungsten oxidenanofiberselectrospinningoptimizationresponse surface methodology
collection DOAJ
language English
format Article
sources DOAJ
author Babajide Oluwagbenga Fatile
Martin Pugh
Mamoun Medraj
spellingShingle Babajide Oluwagbenga Fatile
Martin Pugh
Mamoun Medraj
Optimization of the Electrospun Niobium–Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology
Nanomaterials
niobium–tungsten oxide
nanofibers
electrospinning
optimization
response surface methodology
author_facet Babajide Oluwagbenga Fatile
Martin Pugh
Mamoun Medraj
author_sort Babajide Oluwagbenga Fatile
title Optimization of the Electrospun Niobium–Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology
title_short Optimization of the Electrospun Niobium–Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology
title_full Optimization of the Electrospun Niobium–Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology
title_fullStr Optimization of the Electrospun Niobium–Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology
title_full_unstemmed Optimization of the Electrospun Niobium–Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology
title_sort optimization of the electrospun niobium–tungsten oxide nanofibers diameter using response surface methodology
publisher MDPI AG
series Nanomaterials
issn 2079-4991
publishDate 2021-06-01
description 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<sup>2</sup> also have significant effects on the diameter of the nanofibers. The results of the ANOVA yielded <i>R</i><sup>2</sup> and adjusted <i>R</i><sup>2</sup> 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.
topic niobium–tungsten oxide
nanofibers
electrospinning
optimization
response surface methodology
url https://www.mdpi.com/2079-4991/11/7/1644
work_keys_str_mv AT babajideoluwagbengafatile optimizationoftheelectrospunniobiumtungstenoxidenanofibersdiameterusingresponsesurfacemethodology
AT martinpugh optimizationoftheelectrospunniobiumtungstenoxidenanofibersdiameterusingresponsesurfacemethodology
AT mamounmedraj optimizationoftheelectrospunniobiumtungstenoxidenanofibersdiameterusingresponsesurfacemethodology
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