Decolorization of Synthetic Wastewater Containing Azo Dyes in a Batch-Operated Rotating Biological Contactor Reactor with the Immobilized Fungus Phanerochaete chrysosporium

2010 ◽  
Vol 49 (16) ◽  
pp. 7484-7487 ◽  
Author(s):  
Kannan Pakshirajan ◽  
Sukhwinder Singh
Author(s):  
Alana Pereira de Almeida ◽  
Andrew Macrae ◽  
Bernardo Dias Ribeiro ◽  
Rodrigo Pires do Nascimento

2012 ◽  
Vol 66 (2) ◽  
pp. 429-437 ◽  
Author(s):  
V. Singh ◽  
A. K. Mittal

A four-stage rotating biological contactor (RBC) was designed and operated to treat synthetic wastewater containing 1,000 mg/l chemical oxygen demand (COD) and 112 mg/l NH4+-N. A mixed culture bacterial biofilm was developed consisting of a heterotrophic bacterium Paracoccus pantotrophus, nitrifiers and other heterotrophs. Applying the peculiar characteristics of P. pantotrophus of simultaneous heterotrophic nitrification and aerobic denitrification, high simultaneous removal of carbon and nitrogen could be achieved in the fully aerobic RBC. The microbial community structure of the RBC biofilm was categorized based on the nitrate reduction, biochemical reactions, gram staining and morphology. The presence of P. pantotrophus within the RBC biofilm was confirmed with an array of biochemical tests. Isolates from the four stages of RBC were grouped into complete denitrifiers, incomplete denitrifiers and non-denitrifiers. This categorization showed a higher relative abundance of P. pantotrophus in the first stage as compared with subsequent stages, in which other nitrifiers and heterotrophs were significantly present. High total nitrogen removal of upto 68% was in conformity with observations made using microbial categorization and biochemical tests. The high relative abundance of P. pantotrophus in the biofilm revealed that it could successfully compete with other heterotrophs and autotrophic nitrifiers in mixed bacterial biomass.


2022 ◽  
Vol 82 ◽  
Author(s):  
E. R. Silva ◽  
E. L. Dall’Oglio ◽  
L. G. Vasconcelos ◽  
E. B. Morais

Abstract Shewanella xiamenensis G5-03 was observed to decolorize the azo dye Congo red in synthetic wastewater. The influence of some factors on the dye decolorization efficiency was evaluated. The optimal decolorization conditions were temperature 30-35 °C, pH 10.0, incubation time 10 h, and static condition. The kinetic of Congo red decolorization fitted to the Michaelis–Menten model (Vmax = 111.11 mg L-1 h-1 and Km = 448.3 mg L-1). The bacterium was also able to degrade benzidine, a product of azo bond breakage of the Congo red, which contributed to reduce the phytotoxicity. The ability of S. xiamenensis G5-03 for simultaneous decolorization and degradation of Congo red shows its potential application for the biological treatment of wastewaters containing azo dyes.


Author(s):  
M. Gopi Kiran ◽  
Raja Das ◽  
Shishir Kumar Behera ◽  
Kannan Pakshirajan ◽  
Gopal Das

Abstract The performance of a continuously operated lab-scale rotating biological contactor (RBC) was assessed for the removal of heavy metals viz. Cu(II), Cd(II) and Pb(II) from synthetic wastewater using artificial neural networks (ANNs). The RBC was inoculated with Sulfate Reducing Bacteria consortium (predominantly Desulfovibrio species), and the performance was evaluated at different hydraulic retention times (HRTs), and inlet heavy metal concentrations. A feed-forward back-propagation neural network model was developed using 90 data sets obtained over a period of 3 months, to predict the removal of heavy metal (HMRE) and COD (CODRE). The predictive capability of the model was evaluated in terms of the coefficient of determination (R) and, mean absolute percentage error between the model fitted and actual experimental data, whereas sensitivity analysis was performed on the input parameters by determining the absolute average sensitivity (AAS) values. The higher AAS value of the HRT compared to that of inlet heavy metal concentration suggested that the change of HRT has a significant influence on HMRE and CODRE. Overall, the results obtained from this study demonstrated that ANNs can efficiently predict the RBC behaviour with regard to heavy metal and COD removal characteristics under the prevailing operational conditions.


2020 ◽  
Vol 4 (1) ◽  
pp. 19-23
Author(s):  
Ch. Arslan ◽  
Muhammad Hasnain ◽  
Waheed Tariq

Water contamination due to textile industrial discharge is one of major problems of modern world. Azo dyes are major culprits of water pollution due to presence of complicated azo bond. Synthetic wastewater with high concentration of azo dyes has been treated using different adsorbents in this study. This exploration technique is proved to be conservative, appealing and compelling for the removal of dyes from wastewater. In this investigation, pre-treated sugarcane bagasse and chicken eggshell were utilized as an adsorbent for adsorption of azo dyes from wastewater. All the experiments were allowed to run for 160 minutes. These adsorbents satisfactorily served the purpose of application. Eggshells and sugarcane bagasse and presented 79% and 73% removal of reactive red-1 respectively. Removal of direct blue-1 was observed as 96% and 95% using eggshells and sugarcane bagasse respectively.


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