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Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network

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Main Authors: Zulfiqar, Muhammad, Samsudin, Mohamad Fakhrul Ridhwan, Sufian, Suriati
Format: Article
Published: Elsevier 2019
Online Access:http://scholars.utp.edu.my/id/eprint/35813/
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spelling oai:scholars.utp.edu.my:358132023-04-11T02:50:00Z http://scholars.utp.edu.my/id/eprint/35813/ Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network Zulfiqar, Muhammad Samsudin, Mohamad Fakhrul Ridhwan Sufian, Suriati Elsevier 2019 Article NonPeerReviewed Zulfiqar, Muhammad and Samsudin, Mohamad Fakhrul Ridhwan and Sufian, Suriati (2019) Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network. Journal of Photochemistry and Photobiology A: Chemistry, 384. p. 112039.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Zulfiqar, Muhammad
Samsudin, Mohamad Fakhrul Ridhwan
Sufian, Suriati
spellingShingle Zulfiqar, Muhammad
Samsudin, Mohamad Fakhrul Ridhwan
Sufian, Suriati
Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network
author_facet Zulfiqar, Muhammad
Samsudin, Mohamad Fakhrul Ridhwan
Sufian, Suriati
author_sort Zulfiqar, Muhammad
title Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network
title_short Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network
title_full Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network
title_fullStr Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network
title_full_unstemmed Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network
title_sort modelling and optimization of photocatalytic degradation of phenol via tio2 nanoparticles: an insight into response surface methodology and artificial neural network
publisher Elsevier
publishDate 2019
url http://scholars.utp.edu.my/id/eprint/35813/
_version_ 1762964131488464896
score 13.214268

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