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))

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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Bibliographic Details
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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Institution: Universiti Teknologi Petronas

Internet

http://scholars.utp.edu.my/id/eprint/34779/

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