Artificial neural network modeling of photocatalytic removal of a disperse dye using synthesized of ZnO nanoparticles on montmorillonite

KIRANSAN, Murat; KHATAEE, Alireza; Karaca, Semra; SHEYDAEI, Mohsen

doi:10.1016/j.saa.2014.12.100

Makale Tam Makale Uluslararası 2015

Artificial neural network modeling of photocatalytic removal of a disperse dye using synthesized of ZnO nanoparticles on montmorillonite

Murat KIRANSAN, Alireza KHATAEE, Semra Karaca, Mohsen SHEYDAEI

Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy Cilt 140 · ss. 465–473 · 05.04.2015

DOI ile aç

Özet

In this study, the photocatalytic ability of ZnO/Montmorilonite (ZnO/MMT) nanocomposite under UV-A, UV-B and UV-C radiation was investigated. ZnO nanoparticles were synthesized on the surface of MMT and used as photocatalyst in decolorization of Disperse Red 54 (DR54) solution. Synthesized nanocomposite was characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM) techniques and nitrogen adsorption/desorption isotherms curves. The average width of synthesized ZnO particles is in the range of 30-45 nm. Effect of UV light regions, initial dye concentration, initial dosage of nanocomposite, and reusability of catalyst was studied on decolorization efficiency. The highest decolorization efficiency was achieved under UV-C radiation. A three-layered feed forward back propagation artificial neural network model was developed to predict the photocatalysis of DR54 under UV-C radiation. According to ANN model the ZnO/MMT dosage with a relative importance of 49.21% is the most influential parameter in the photocatalytic decolorization process. (C) 2015 Elsevier B.V. All rights reserved.

Anahtar kelimeler

IRRADIATION DEGRADATION AQUEOUS-SOLUTION WATER AZO DYES ZNO NANOPARTICLES Photocatalytic degradation Artificial neural network ZnO/MMT nanocomposite IMMOBILIZED TIO2 NANOPARTICLES

Atıf için künye

KIRANSAN, M., KHATAEE, A., Karaca, S., & SHEYDAEI, M. (2015). Artificial neural network modeling of photocatalytic removal of a disperse dye using synthesized of ZnO nanoparticles on montmorillonite. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 140, 465–473. https://doi.org/10.1016/j.saa.2014.12.100

BibTeX

@article{kiransan2015-69548,
  author = {KIRANSAN, Murat and KHATAEE, Alireza and Karaca, Semra and SHEYDAEI, Mohsen},
  title = {Artificial neural network modeling of photocatalytic removal of a disperse dye using synthesized of ZnO nanoparticles on montmorillonite},
  journal = {Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy},
  year = {2015},
  volume = {140},
  pages = {465--473},
  issn = {1386-1425},
  doi = {10.1016/j.saa.2014.12.100},
  url = {https://akademik.atauni.edu.tr/yayinlar/69548-artificial-neural-network-modeling-of-photocatalytic-removal-of-a-disperse-dye}
}