Sonocatalytic Degradation of Rhodamine B in Aqueous Solution in the Presence of Tio2 Coated Activated Carbon

AbstractSynthesis of titanium dioxide coated activated carbon (TiO2/AC) has been undertaken using sol-gel method and its application in Rhodamine B (RB) dye removal has been investigated. The synthesized sonocatalyst (TiO2/AC) was characterized by using SEM and FTIR techniques. The effects of the TiO2/AC on the sonocatalytic degradation of RB dye and the operational parameters such as pH, temperature, ultrasonic frequency with the presence/absence of sonocatalyst of the sonocatalytic degradation of RB were concerned in this study. The degradation efficiency of RB in aqueous solution could be achieved 82.21% with the addition of TiO2/AC at the best conditions. The best conditions for sonocatalytic degradation of RB were found to be pH 6, temperature 50°C, ultrasonic frequency of 30kHz with the presence of sonocatalyst for 60minutes

Long-Term Prediction of Biological Wastewater Treatment Process Behavior via Wiener-Laguerre Network Model

A Wiener-Laguerre model with artificial neural network (ANN) as its nonlinear static part was employed to describe the dynamic behavior of a sequencing batch reactor (SBR) used for the treatment of dye-containing wastewater. The model was developed based on the experimental data obtained from the treatment of an effluent containing a reactive textile azo dye, Cibacron yellow FN-2R, by Sphingomonas paucimobilis bacterium. The influent COD, MLVSS, and reaction time were selected as the process inputs and the effluent COD and BOD as the process outputs. The best possible result for the discrete pole parameter was α=0.44. In order to adjust the parameters of ANN, the Levenberg-Marquardt (LM) algorithm was employed. The results predicted by the model were compared to the experimental data and showed a high correlation with R2>0.99 and a low mean absolute error (MAE). The results from this study reveal that the developed model is accurate and efficacious in predicting COD and BOD parameters of the dye-containing wastewater treated by SBR. The proposed modeling approach can be applied to other industrial wastewater treatment systems to predict effluent characteristics

Biological Treatment of Reactive Dye (Cibacron Yellow FN_2R) by Sequencing Batch Reactor Performance

Abstract: This study was conducted to biologically treat wastewater discharged from the textile industry (textiles made of cotton and/or synthetic fiber) using sequencing batch reactor (SBR) technology. Reactive dyes have been identified as problematic compounds in textile industries wastewater as they are water soluble and cannot be easily removed by conventional aerobic biological treatment systems. The treat-ability of a reactive dye (Cibacron yellow FN_2R) by sequencing batch reactor and the influence of the dye concentration on system performance were investigated in this study.. Employing reactive dye by spinmongunas bacteria at sequence batch reactor is a novel approach for dye removal. This bacteria was isolated from waste water and sediments of closed Drainage Systems (CDS) located at the Prai area of Penang, Malaysia Sphingomonas paucimobilis was found to produce a bioflocculant with high flocculating activity for Kaolin suspension and watersoluble dyes. The best condition for flocculation performance are 35°C, initial pH between 5 to 7 and incubator shaking speed is 160 rpm. The highest flocculating rate efficiency for dye (Cibacron yellow FN_2R) achieved for Kaolin suspension is 98.4% at 35 C, after 43-77 hours incubation. In this study 0 used sequencing batch reactor performance. Four cylindrical Plexiglas reactors were run for 36 days (5 days for acclimatization of sludge and 31 days for normal operation). The dye concentrations were adjusted to be50, 100, 150 and 200 mg/L in the reactors R1, R2, R3 and R4, According to the obtained data, average dye removal efficiencies of R1, R2, R3 and R4 were67% ± 2, 50.83% ± 3, 41.3 % ± 3 and 30.58% ± 3, respectively. The average COD removal efficiencies of all reactors were 97.25% ± 1, 96.85 % ± 1, 96.98% ± 1 and 98.11 % ± 1, respectively. The environmental conditions were adjusted to T=35 C and pH 7. No significant influence on COD removal efficiency was observed N by altering the dye concentration. The dye removal efficiency was decreased by increasing the dye concentration