Literature DB >> 16377070

Optimization of Fenton's oxidation of chemical laboratory wastewaters using the response surface methodology.

Cláudia Telles Benatti1, Célia Regina Granhen Tavares, Terezinha Aparecida Guedes.   

Abstract

Establishing a treatment process for practical and economic disposal of laboratory wastewaters has become an urgent environmental concern of the Department of Chemical Engineering of the Universidade Estadual de Maringá (State University of Maringá), Brazil. Fenton and related reactions are potentially useful oxidation processes for destroying toxic organic compounds in water. In these reactions, hydrogen peroxide is combined with ferrous or ferric iron in the presence or absence of light to generate hydroxyl radicals (.OH). The feasibility of Fenton's reagent to treat waste chemicals from an academic research laboratory was investigated in this study. A response surface methodology was applied to optimize the Fenton oxidation process conditions using chemical oxygen demand (COD) removal as the target parameter to optimize, and the reagent concentrations, as related to the initial concentration of organic matter in the effluent, and pH as the control factors to be optimized. Maximal COD removal (92.3%) was achieved when wastewater samples were treated at pH 4 in the presence of hydrogen peroxide and iron in the ratios [COD]:[H2O2]=1:9 and [H2O2]:[Fe2+]=4.5:1. Under these conditions, it was possible to obtain simultaneously maximal COD removal and minimal chemical sludge after treatment, which is a residue that needs further processing.

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Year:  2005        PMID: 16377070     DOI: 10.1016/j.jenvman.2005.08.014

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  8 in total

1.  Response surface optimization of a dynamic dye adsorption process: a case study of crystal violet adsorption onto NaOH-modified rice husk.

Authors:  Shamik Chowdhury; Sagnik Chakraborty; Papita Das Saha
Journal:  Environ Sci Pollut Res Int       Date:  2012-05-31       Impact factor: 4.223

2.  Removal of recalcitrant organic matter content in wastewater by means of AOPs aiming industrial water reuse.

Authors:  Bianca M Souza; Bruno S Souza; Tarsila M Guimarães; Thiago F S Ribeiro; Ana C Cerqueira; Geraldo L Sant'Anna; Márcia Dezotti
Journal:  Environ Sci Pollut Res Int       Date:  2016-08-30       Impact factor: 4.223

3.  Degradation of phenols in olive oil mill wastewater by biological, enzymatic, and photo-Fenton oxidation.

Authors:  Celine Justino; Ana Gabriela Marques; Kátia Reis Duarte; Armando Costa Duarte; Ruth Pereira; Teresa Rocha-Santos; Ana Cristina Freitas
Journal:  Environ Sci Pollut Res Int       Date:  2009-10-16       Impact factor: 4.223

4.  Environmentally friendly system for the degradation of multipesticide residues in aqueous media by the Fenton's reaction.

Authors:  Bruno de S Guimarães; Natiele Kleemann; Sergiane S Caldas; Fabiane P Costa; Maria A K Silveira; Fabio A Duarte; Ednei G Primel
Journal:  Environ Sci Pollut Res Int       Date:  2013-06-30       Impact factor: 4.223

5.  Degradation of 1,2-dichloroethane from wash water of ion-exchange resin using Fenton's oxidation.

Authors:  Miia Vilve; Sari Vilhunen; Mikko Vepsäläinen; Tonni Agustiono Kurniawan; Niina Lehtonen; Hannu Isomäki; Mika Sillanpää
Journal:  Environ Sci Pollut Res Int       Date:  2010-01-26       Impact factor: 4.223

6.  A comparison of central composite design and Taguchi method for optimizing Fenton process.

Authors:  Anam Asghar; Abdul Aziz Abdul Raman; Wan Mohd Ashri Wan Daud
Journal:  ScientificWorldJournal       Date:  2014-08-27

7.  Kinetic modeling of a heterogeneous Fenton oxidative treatment of petroleum refining wastewater.

Authors:  Diya'uddeen Basheer Hasan; Abdul Aziz Abdul Raman; Wan Mohd Ashri Wan Daud
Journal:  ScientificWorldJournal       Date:  2014-01-29

8.  Optimization of the photoelectrocatalytic oxidation of landfill leachate using copper and nitrate co-doped TiO2 (Ti) by response surface methodology.

Authors:  Xiao Zhou; Shaoqi Zhou; Xinbin Feng
Journal:  PLoS One       Date:  2017-07-03       Impact factor: 3.240

  8 in total

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