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Evolution of zinc oxide nanostructures grown on graphene by ultrasonic spray pyrolysis and its statistical growth modelling

The evolution of zinc oxide nanostructures grown on graphene by alcohol-assisted ultrasonic spray pyrolysis was investigated. The evolution of structures is strongly depended on pyrolysis parameters, i.e., precursor molarity, precursor flow rate, precursor injection/deposition time, and substrate te...

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Main Authors: Aly, Amgad Ahmed, Hashim, Abdul Manaf
Format: Article
Published: Springer 2015
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/55131/
http://dx.doi.org/10.1186/s11671-015-1163-1
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spelling my.utm.551312017-02-15T07:39:29Z http://eprints.utm.my/id/eprint/55131/ Evolution of zinc oxide nanostructures grown on graphene by ultrasonic spray pyrolysis and its statistical growth modelling Aly, Amgad Ahmed Hashim, Abdul Manaf TA Engineering (General). Civil engineering (General) The evolution of zinc oxide nanostructures grown on graphene by alcohol-assisted ultrasonic spray pyrolysis was investigated. The evolution of structures is strongly depended on pyrolysis parameters, i.e., precursor molarity, precursor flow rate, precursor injection/deposition time, and substrate temperature. Field-effect scanning electron microscope analysis, energy dispersive X-ray spectroscopy, X-ray diffraction, and transmission electron microscopy were used to investigate the properties of the synthesized nanostructures and to provide evidence for the structural changes according to the changes in the pyrolysis parameters. The optimum parameters to achieve maximum density and well-defined hexagonally shaped nanorods were a precursor molarity of 0.2 M, an injection flow rate of 6 ml/min, an injection time of 10 min, and a substrate temperature of 250–355 °C. Based on the experimental results, the response surface methodology (RSM) was used to model and optimize the independent pyrolysis parameters using the Box-Behnken design. Here, the responses, i.e., the nanostructure density, size, and shape factor, are evaluated. All of the computations were performed using the Design-Expert software package. Analysis of variance (ANOVA) was used to evaluate the results of the model and to determine the significant values for the independent pyrolysis parameters. The evolution of zinc oxide (ZnO) structures are well explained by the developed modelling which confirms that RSM is a reliable tool for the modelling and optimization of the pyrolysis parameters and prediction of nanostructure sizes and shapes. Springer 2015-12 Article PeerReviewed Aly, Amgad Ahmed and Hashim, Abdul Manaf (2015) Evolution of zinc oxide nanostructures grown on graphene by ultrasonic spray pyrolysis and its statistical growth modelling. Nanoscale Research Letters, 10 (1). pp. 1-13. ISSN 1931-7573 http://dx.doi.org/10.1186/s11671-015-1163-1 DOI:10.1186/s11671-015-1163-1
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Aly, Amgad Ahmed
Hashim, Abdul Manaf
Evolution of zinc oxide nanostructures grown on graphene by ultrasonic spray pyrolysis and its statistical growth modelling
description The evolution of zinc oxide nanostructures grown on graphene by alcohol-assisted ultrasonic spray pyrolysis was investigated. The evolution of structures is strongly depended on pyrolysis parameters, i.e., precursor molarity, precursor flow rate, precursor injection/deposition time, and substrate temperature. Field-effect scanning electron microscope analysis, energy dispersive X-ray spectroscopy, X-ray diffraction, and transmission electron microscopy were used to investigate the properties of the synthesized nanostructures and to provide evidence for the structural changes according to the changes in the pyrolysis parameters. The optimum parameters to achieve maximum density and well-defined hexagonally shaped nanorods were a precursor molarity of 0.2 M, an injection flow rate of 6 ml/min, an injection time of 10 min, and a substrate temperature of 250–355 °C. Based on the experimental results, the response surface methodology (RSM) was used to model and optimize the independent pyrolysis parameters using the Box-Behnken design. Here, the responses, i.e., the nanostructure density, size, and shape factor, are evaluated. All of the computations were performed using the Design-Expert software package. Analysis of variance (ANOVA) was used to evaluate the results of the model and to determine the significant values for the independent pyrolysis parameters. The evolution of zinc oxide (ZnO) structures are well explained by the developed modelling which confirms that RSM is a reliable tool for the modelling and optimization of the pyrolysis parameters and prediction of nanostructure sizes and shapes.
format Article
author Aly, Amgad Ahmed
Hashim, Abdul Manaf
author_facet Aly, Amgad Ahmed
Hashim, Abdul Manaf
author_sort Aly, Amgad Ahmed
title Evolution of zinc oxide nanostructures grown on graphene by ultrasonic spray pyrolysis and its statistical growth modelling
title_short Evolution of zinc oxide nanostructures grown on graphene by ultrasonic spray pyrolysis and its statistical growth modelling
title_full Evolution of zinc oxide nanostructures grown on graphene by ultrasonic spray pyrolysis and its statistical growth modelling
title_fullStr Evolution of zinc oxide nanostructures grown on graphene by ultrasonic spray pyrolysis and its statistical growth modelling
title_full_unstemmed Evolution of zinc oxide nanostructures grown on graphene by ultrasonic spray pyrolysis and its statistical growth modelling
title_sort evolution of zinc oxide nanostructures grown on graphene by ultrasonic spray pyrolysis and its statistical growth modelling
publisher Springer
publishDate 2015
url http://eprints.utm.my/id/eprint/55131/
http://dx.doi.org/10.1186/s11671-015-1163-1
_version_ 1643653703749599232
score 13.211869

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