The Response Surface Methodology (RSM) was applied as a tool for the optimization of the operational conditions of the photo-degradation of highly concentrated PY12 wastewater, resulting from a textile industry located in the suburbs of Medellin (Colombia). The Box-Behnken experimental Design (BBD) was chosen for the purpose of response optimization. The photo-Fenton process was carried out in a laboratory-scale batch photo-reactor. A multifactorial experimental design was proposed, including the following variables: the initial dyestuff concentration, the H2O2 and the Fe+2 concentrations, as well as the UV wavelength radiation. The photo-Fenton process performed at the optimized conditions resulted in ca. 100% of dyestuff decolorization, 92% of COD and 82% of TOC degradation. A kinetic study was accomplished, including the identification of some intermediate compounds generated during the oxidation process. The water biodegradability reached a final DBO5/DQO = 0.86 value.
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Research Article|
May 01 2012
Decolorization and mineralization of Diarylide Yellow 12 (PY12) by photo-Fenton process: the Response Surface Methodology as the optimization tool
Edison GilPavas;
1GIPAB: Grupo de Investigación en Procesos Ambientales y Biotecnológicos, Departamento de Ingeniería de Procesos, Universidad EAFIT, Carrera 49 #7 sur 50, Medellin, Colombia
E-mail: egil@eafit.edu.co
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Izabela Dobrosz-Gómez;
Izabela Dobrosz-Gómez
2GIANT: Grupo de Investigación en Aplicación de Nuevas Tecnologías, Universidad Nacional de Colombia, Sede Manizales, Colombia
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Miguel Ángel Gómez-García
Miguel Ángel Gómez-García
2GIANT: Grupo de Investigación en Aplicación de Nuevas Tecnologías, Universidad Nacional de Colombia, Sede Manizales, Colombia
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Water Sci Technol (2012) 65 (10): 1795–1800.
Article history
Received:
September 27 2011
Accepted:
January 10 2012
Citation
Edison GilPavas, Izabela Dobrosz-Gómez, Miguel Ángel Gómez-García; Decolorization and mineralization of Diarylide Yellow 12 (PY12) by photo-Fenton process: the Response Surface Methodology as the optimization tool. Water Sci Technol 1 May 2012; 65 (10): 1795–1800. doi: https://doi.org/10.2166/wst.2012.078
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