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Corrigendum to â Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural networkâ J. Photochem. Photobiol. A: Chem. 384 (2019) 1â 15/112039 (Journal of Photochemistry & Photobiology, A: Chemistry (2019) 384,(S1010603019308883),(10.1016/j. jphotochem. 2019.112039))

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Main Authors: Zulfiqar, Muhammad, Samsudin, Mohamad Fakhrul Ridhwan, Taqvi, Syed Ali Ammar, Sufian, Suriati
Format: Article
Published: Elsevier BV 2020
Online Access:http://scholars.utp.edu.my/id/eprint/34779/
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spelling oai:scholars.utp.edu.my:347792023-03-20T06:48:51Z http://scholars.utp.edu.my/id/eprint/34779/ Corrigendum to â Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural networkâ J. Photochem. Photobiol. A: Chem. 384 (2019) 1â 15/112039 (Journal of Photochemistry & Photobiology, A: Chemistry (2019) 384,(S1010603019308883),(10.1016/j. jphotochem. 2019.112039)) Zulfiqar, Muhammad Samsudin, Mohamad Fakhrul Ridhwan Taqvi, Syed Ali Ammar Sufian, Suriati Elsevier BV 2020 Article NonPeerReviewed Zulfiqar, Muhammad and Samsudin, Mohamad Fakhrul Ridhwan and Taqvi, Syed Ali Ammar and Sufian, Suriati (2020) Corrigendum to â Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural networkâ J. Photochem. Photobiol. A: Chem. 384 (2019) 1â 15/112039 (Journal of Photochemistry & Photobiology, A: Chemistry (2019) 384,(S1010603019308883),(10.1016/j. jphotochem. 2019.112039)). Journal of Photochemistry and Photobiology A: Chemistry, 400.
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
Taqvi, Syed Ali Ammar
Sufian, Suriati
spellingShingle Zulfiqar, Muhammad
Samsudin, Mohamad Fakhrul Ridhwan
Taqvi, Syed Ali Ammar
Sufian, Suriati
Corrigendum to â Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural networkâ J. Photochem. Photobiol. A: Chem. 384 (2019) 1â 15/112039 (Journal of Photochemistry & Photobiology, A: Chemistry (2019) 384,(S1010603019308883),(10.1016/j. jphotochem. 2019.112039))
author_facet Zulfiqar, Muhammad
Samsudin, Mohamad Fakhrul Ridhwan
Taqvi, Syed Ali Ammar
Sufian, Suriati
author_sort Zulfiqar, Muhammad
title Corrigendum to â Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural networkâ J. Photochem. Photobiol. A: Chem. 384 (2019) 1â 15/112039 (Journal of Photochemistry & Photobiology, A: Chemistry (2019) 384,(S1010603019308883),(10.1016/j. jphotochem. 2019.112039))
title_short Corrigendum to â Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural networkâ J. Photochem. Photobiol. A: Chem. 384 (2019) 1â 15/112039 (Journal of Photochemistry & Photobiology, A: Chemistry (2019) 384,(S1010603019308883),(10.1016/j. jphotochem. 2019.112039))
title_full Corrigendum to â Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural networkâ J. Photochem. Photobiol. A: Chem. 384 (2019) 1â 15/112039 (Journal of Photochemistry & Photobiology, A: Chemistry (2019) 384,(S1010603019308883),(10.1016/j. jphotochem. 2019.112039))
title_fullStr Corrigendum to â Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural networkâ J. Photochem. Photobiol. A: Chem. 384 (2019) 1â 15/112039 (Journal of Photochemistry & Photobiology, A: Chemistry (2019) 384,(S1010603019308883),(10.1016/j. jphotochem. 2019.112039))
title_full_unstemmed Corrigendum to â Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural networkâ J. Photochem. Photobiol. A: Chem. 384 (2019) 1â 15/112039 (Journal of Photochemistry & Photobiology, A: Chemistry (2019) 384,(S1010603019308883),(10.1016/j. jphotochem. 2019.112039))
title_sort corrigendum to â modelling and optimization of photocatalytic degradation of phenol via tio2 nanoparticles: an insight into response surface methodology and artificial neural networkâ j. photochem. photobiol. a: chem. 384 (2019) 1â 15/112039 (journal of photochemistry & photobiology, a: chemistry (2019) 384,(s1010603019308883),(10.1016/j. jphotochem. 2019.112039))
publisher Elsevier BV
publishDate 2020
url http://scholars.utp.edu.my/id/eprint/34779/
_version_ 1761621141115371520
score 13.188404

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