Modelling and optimization of photocatalytic degradation of phenol via TiO2 nanoparticles: An insight into response surface methodology and artificial neural network
Saved in:
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/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
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))
by: Zulfiqar, Muhammad, et al.
Published: (2020) -
Effect of organic solvents on the growth of TiO2 nanotubes: An insight into photocatalytic degradation and adsorption studies
by: Zulfiqar, M., et al.
Published: (2020) -
Effect of organic solvents on the growth of TiO2 nanotubes: An insight into photocatalytic degradation and adsorption studies
by: Zulfiqar, M., et al.
Published: (2020) -
Enhanced photocatalytic degradation of wastewater over RGO-TiO2/BiVO4 photocatalyst under solar light irradiation
by: Samsudin, Mohamad Fakhrul Ridhwan, et al.
Published: (2018) -
Preparation and photocatalytic activity of mixed phase anatase/rutile TiO2 nanoparticles for phenol degradation
by: Wan Salleh, Wan Norharyati, et al.
Published: (2014)