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      Treatment of petrochemical wastewater by 3D printed biocarrier integrated activated sludge system: Optimization by response surface methodology, biokinetics, and microbial community

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          Treatment of petrochemical wastewater by microaerobic hydrolysis and anoxic/oxic processes and analysis of bacterial diversity

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            A comprehensive review on toxic petrochemical wastewater pretreatment and advanced treatment

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              Biodegradation potential and bacterial diversity of a petrochemical wastewater treatment plant in Iran.

              An activated sludge treatment was evaluated for its effectiveness in cleaning up a petrochemical wastewater in Iran. For assessing biodegradation potential of activated sludge, seven characteristics of wastewater (temperature, pH, dissolved oxygen, chemical oxygen demand, concentrations of ethylene dichloride, vinyl chloride, and total hydrocarbons) were monitored during six months. It was shown that dominant pollutants in order of magnitude were normal-alkanes (C(10)-C(21)), aromatics, and polycyclic hydrocarbons. The activated sludge treatment revealed maximum reduction of 89%, 99%, 92%, and 80% in COD, ethylene dichloride, vinyl chloride and total hydrocarbons concentrations, respectively. Preliminary screening of culturable petrochemical-degrading microorganisms of the activated sludge resulted in the collection of 67 bacterial and one mold species. Bacterial strains mainly belonged to Pseudomonas, Flavobacterium, Comamonas, Cytophaga, Acidovorax, Sphingomonas, Bacillus and Acinetobacter genera. The isolated mold was identified as Trichoderma sp.
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                Author and article information

                Journal
                Journal of Water Process Engineering
                Journal of Water Process Engineering
                Elsevier BV
                22147144
                December 2023
                December 2023
                : 56
                : 104255
                Article
                10.1016/j.jwpe.2023.104255
                33e6b96f-40f1-429e-b0fe-f9b6bc0cc6a6
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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