1 Ocak 2022 Dergi makalesi Açık Erişim

Basturk, Irfan; Varank, Gamze; Murat-Hocaoglu, Selda; Yazici Guvenc, Senem; Can-Guven, Emine; Oktem-Olgun, Elmas Eva; Canli, Oltan

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/239956</identifier>
  <creators>
    <creator>
      <creatorName>Basturk, Irfan</creatorName>
      <givenName>Irfan</givenName>
      <familyName>Basturk</familyName>
      <affiliation>Sci &amp; Technol Res Council Turkey, Marmara Res Ctr, Environm &amp; Cleaner Prod Inst, Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Varank, Gamze</creatorName>
      <givenName>Gamze</givenName>
      <familyName>Varank</familyName>
      <affiliation>Yildiz Tech Univ, Fac Civil Engn, Dept Environm Engn, TR-34220 Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Murat-Hocaoglu, Selda</creatorName>
      <givenName>Selda</givenName>
      <familyName>Murat-Hocaoglu</familyName>
      <affiliation>Sci &amp; Technol Res Council Turkey, Marmara Res Ctr, Environm &amp; Cleaner Prod Inst, Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Yazici Guvenc, Senem</creatorName>
      <givenName>Senem</givenName>
      <familyName>Yazici Guvenc</familyName>
      <affiliation>Yildiz Tech Univ, Fac Civil Engn, Dept Environm Engn, TR-34220 Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Can-Guven, Emine</creatorName>
      <givenName>Emine</givenName>
      <familyName>Can-Guven</familyName>
      <affiliation>Yildiz Tech Univ, Fac Civil Engn, Dept Environm Engn, TR-34220 Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Oktem-Olgun, Elmas Eva</creatorName>
      <givenName>Elmas Eva</givenName>
      <familyName>Oktem-Olgun</familyName>
      <affiliation>Sci &amp; Technol Res Council Turkey, Marmara Res Ctr, Environm &amp; Cleaner Prod Inst, Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Canli, Oltan</creatorName>
      <givenName>Oltan</givenName>
      <familyName>Canli</familyName>
      <affiliation>Sci &amp; Technol Res Council Turkey, Marmara Res Ctr, Environm &amp; Cleaner Prod Inst, Kocaeli, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Multivariate Optimization Of Cephalexin, Ciprofloxacin, And Clarithromycin Degradation In Medical Laboratory Wastewater By Ozonation</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2022</publicationYear>
  <dates>
    <date dateType="Issued">2022-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/239956</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1080/01919512.2021.1935209</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 performance of the ozonation process was investigated in the removal of antibiotics (Cephalexin, Ciprofloxacin, and Clarithromycin) from medical laboratory wastewater. Central composite design, one of the response surface methodologies, was applied to optimize process parameters and to develop a mathematical model. Analysis of variance (ANOVA) was performed to analyze the data and obtain the interactions between the responses and process variables. Independent variables were initial pH, reaction time, and ozone dosage, while the responses were the removal of Cephalexin, Ciprofloxacin, and Clarithromycin. Statgraphics Centurion XVI.I software was used for developing the quadratic regression models in the estimation of removals. The determined correlation coefficients were very high for the removal of all three antibiotics and the model was sufficiently in good agreement with experimental results. The experimental removal fractions of Cephalexin, Ciprofloxacin, and Clarithromycin under optimum process conditions were 99.5%, 98.3%, and 99.6%, respectively. As a result of the study, it was determined that ozonation is an effective treatment method in antibiotic removal from medical laboratory wastewater and the central composite design is a convenient tool for process optimization.</description>
  </descriptions>
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