1 Ocak 2015 Dergi makalesi Açık Erişim

Kiransan, Murat; Khataee, Alireza; Karaca, Semra; Sheydaei, Mohsen

Citation Style Language JSON

{
  "DOI": "10.1016/j.saa.2014.12.100", 
  "abstract": "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.", 
  "author": [
    {
      "family": "Kiransan", 
      "given": " Murat"
    }, 
    {
      "family": "Khataee", 
      "given": " Alireza"
    }, 
    {
      "family": "Karaca", 
      "given": " Semra"
    }, 
    {
      "family": "Sheydaei", 
      "given": " Mohsen"
    }
  ], 
  "container_title": "SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY", 
  "id": "76577", 
  "issued": {
    "date-parts": [
      [
        2015, 
        1, 
        1
      ]
    ]
  }, 
  "page": "465-473", 
  "title": "Artificial neural network modeling of photocatalytic removal of a disperse dye using synthesized of ZnO nanoparticles on montmorillonite", 
  "type": "article-journal", 
  "volume": "140"
}