1 Ocak 2015 Dergi makalesi Açık Erişim

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

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/76577</identifier>
  <creators>
    <creator>
      <creatorName>Kiransan, Murat</creatorName>
      <givenName>Murat</givenName>
      <familyName>Kiransan</familyName>
      <affiliation>Ataturk Univ, Fac Sci, Dept Chem, TR-25240 Erzurum, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Khataee, Alireza</creatorName>
      <givenName>Alireza</givenName>
      <familyName>Khataee</familyName>
      <affiliation>Univ Tabriz, Fac Chem, Dept Appl Chem, Res Lab Adv Water &amp; Wastewater Treatment Proc, Tabriz, Iran</affiliation>
    </creator>
    <creator>
      <creatorName>Karaca, Semra</creatorName>
      <givenName>Semra</givenName>
      <familyName>Karaca</familyName>
      <affiliation>Ataturk Univ, Fac Sci, Dept Chem, TR-25240 Erzurum, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Sheydaei, Mohsen</creatorName>
      <givenName>Mohsen</givenName>
      <familyName>Sheydaei</familyName>
      <affiliation>Univ Tabriz, Fac Chem, Dept Appl Chem, Res Lab Adv Water &amp; Wastewater Treatment Proc, Tabriz, Iran</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Artificial Neural Network Modeling Of Photocatalytic Removal Of A Disperse Dye Using Synthesized Of Zno Nanoparticles On Montmorillonite</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2015</publicationYear>
  <dates>
    <date dateType="Issued">2015-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/76577</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.saa.2014.12.100</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="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.</description>
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