Cover Image

Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems

This research was to apply the combination of the particle swarm optimization method and artificial neural network training with the aim of building a quantitative model to forecast the size of copper nanoparticles (Cu-NPs) prepared in sodium alginate. Sodium alginate, sodium hydroxide, copper sulfa...

Full description

Saved in:
Bibliographic Details
Main Authors: Shabanzadeh, Parvaneh, Yusof, Rubiyah, Shameli, Kamyar, Khanehzaei, Hajar
Format: Article
Language:English
Published: Springer 2016
Online Access:http://psasir.upm.edu.my/id/eprint/43382/1/Simulation%20and%20modeling%20of%20synthesis%20Cu%20nanoparticles%20in%20sodium%20alginate%20media%20by%20means%20of%20expert%20systems.pdf
http://psasir.upm.edu.my/id/eprint/43382/
http://link.springer.com/article/10.1007%2Fs11164-015-2180-5
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.43382
record_format eprints
spelling my.upm.eprints.433822016-05-19T01:41:16Z http://psasir.upm.edu.my/id/eprint/43382/ Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems Shabanzadeh, Parvaneh Yusof, Rubiyah Shameli, Kamyar Khanehzaei, Hajar This research was to apply the combination of the particle swarm optimization method and artificial neural network training with the aim of building a quantitative model to forecast the size of copper nanoparticles (Cu-NPs) prepared in sodium alginate. Sodium alginate, sodium hydroxide, copper sulfate, hydrazinium hydroxide, and ascorbic acid were used as stabilizer, pH moderator, copper precursor, reducing agent, and antioxidant, respectively. The results showed that the different sizes of Cu-NPs were obtained by changing these functions. Meaning that by increasing the amount of sodium alginate and or increase the volume of hydrazine hydrate, particle sizes of Cu-NPs were reduced. Other variables had the opposite effects due to the increase of the size of the Cu-NPs. The prediction results were remarkably in agreement with the experimental data with a correlation coefficient of 0.99 and a mean square error of 0.0058. Springer 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43382/1/Simulation%20and%20modeling%20of%20synthesis%20Cu%20nanoparticles%20in%20sodium%20alginate%20media%20by%20means%20of%20expert%20systems.pdf Shabanzadeh, Parvaneh and Yusof, Rubiyah and Shameli, Kamyar and Khanehzaei, Hajar (2016) Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems. Research on Chemical Intermediates, 42 (4). pp. 2831-2843. ISSN 0922-6168; ESSN: 1568-5675 http://link.springer.com/article/10.1007%2Fs11164-015-2180-5 10.1007/s11164-015-2180-5
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This research was to apply the combination of the particle swarm optimization method and artificial neural network training with the aim of building a quantitative model to forecast the size of copper nanoparticles (Cu-NPs) prepared in sodium alginate. Sodium alginate, sodium hydroxide, copper sulfate, hydrazinium hydroxide, and ascorbic acid were used as stabilizer, pH moderator, copper precursor, reducing agent, and antioxidant, respectively. The results showed that the different sizes of Cu-NPs were obtained by changing these functions. Meaning that by increasing the amount of sodium alginate and or increase the volume of hydrazine hydrate, particle sizes of Cu-NPs were reduced. Other variables had the opposite effects due to the increase of the size of the Cu-NPs. The prediction results were remarkably in agreement with the experimental data with a correlation coefficient of 0.99 and a mean square error of 0.0058.
format Article
author Shabanzadeh, Parvaneh
Yusof, Rubiyah
Shameli, Kamyar
Khanehzaei, Hajar
spellingShingle Shabanzadeh, Parvaneh
Yusof, Rubiyah
Shameli, Kamyar
Khanehzaei, Hajar
Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems
author_facet Shabanzadeh, Parvaneh
Yusof, Rubiyah
Shameli, Kamyar
Khanehzaei, Hajar
author_sort Shabanzadeh, Parvaneh
title Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems
title_short Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems
title_full Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems
title_fullStr Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems
title_full_unstemmed Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems
title_sort simulation and modeling of synthesis cu nanoparticles in sodium alginate media by means of expert systems
publisher Springer
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/43382/1/Simulation%20and%20modeling%20of%20synthesis%20Cu%20nanoparticles%20in%20sodium%20alginate%20media%20by%20means%20of%20expert%20systems.pdf
http://psasir.upm.edu.my/id/eprint/43382/
http://link.springer.com/article/10.1007%2Fs11164-015-2180-5
_version_ 1643833550013726720
score 13.244413

Similar Items