scholarly journals Optimisation of Reactive Black 5 dye removal by electrocoagulation process using response surface methodology

2016 ◽  
Vol 75 (4) ◽  
pp. 952-962 ◽  
Author(s):  
W. T. Mook ◽  
M. K. Aroua ◽  
M. Szlachta ◽  
C. S. Lee
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Treatment Time ◽  
Textile Wastewater ◽  
Coefficient Of Determination ◽  
Percentage Error ◽  
Reactive Black 5 ◽  
Solution Ph ◽  
Initial Ph ◽  
Electrocoagulation Process

In this work, a regression model obtained from response surface methodology (RSM) was proposed for the electrocoagulation (EC) treatment of textile wastewater. The Reactive Black 5 dye (RB5) was used as a model dye to evaluate the performance of the model design. The effect of initial solution pH, applied current and treatment time on RB5 removal was investigated. The total number of experiments designed by RSM amounted to 27 runs, including three repeated experimental runs at the central point. The accuracy of the model was evaluated by the F-test, coefficient of determination (R2), adjusted R2 and standard deviation. The optimum conditions for RB5 removal were as follows: initial pH of 6.63, current of 0.075 A, electrolyte dose of 0.11 g/L and EC time of 50.3 min. The predicted RB5 removal was 83.3% and the percentage error between experimental and predicted results was only 3–5%. The obtained data confirm that the proposed model can be used for accurate prediction of RB5 removal. The value of the zeta potential increased with treatment time, and the X-ray diffraction pattern shows that iron complexes were found in the sludge.

scholarly journals Simultaneous removal of lead and copper from synthetic water by electrocoagulation and techno-economic evaluation: optimization through response surface methodology

2021 ◽  
Vol 13 (1) ◽  
pp. 61-68
Author(s):  
A.K. Varma ◽  
A. Chouhan ◽  
R. Shankar ◽  
P. Mondal ◽  
A.K. Rathore ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Current Density ◽  
Treatment Time ◽  
Operating Cost ◽  
Initial Ph ◽  
Electrocoagulation Process ◽  
Predicted Values ◽  
Experimental Values ◽  
Synthetic Water

In the present study, the electrocoagulation process using iron electrodes was used to treat synthetic water containing lead and copper. Box-Behnken design of response surface methodology was applied to optimize the process variables namely initial pH, current density and treatment time along with operating cost. At optimum conditions (initial pH: 5, current density: 50 A/m2, treatment time: 40 min), the model predicted value for removal of lead and copper was found as 102.81% and 99.75%, respectively with an operating cost of 0.481 USD/m3. Whereas, the actual or experimental values of lead and copper removal were found as 99.98 % and 99.88 % as well as operating cost of 0.476 USD/m3, which signifies a good closeness between the model predicted values and actual values. The concentration of lead and copper in treated water was found below the permissible limits as per CPCB norms for industrial discharge.

scholarly journals Optimization of electrocoagulation of instant coffee production wastewater using the response surface methodology

2017 ◽  
Vol 19 (2) ◽  
pp. 67-71 ◽  
Author(s):  
Ha Manh Bui
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Efficiency ◽  
Current Density ◽  
Cod Removal ◽  
Coefficient Of Determination ◽  
Electrolysis Time ◽  
Instant Coffee ◽  
Operating Variables ◽  
Initial Ph

Abstract The COD removal efficiency from an instant coffee processing wastewater using electrocoagulation was investigated. For this purpose, the response surface methodology was employed, using central composing design to optimize three of the most important operating variables, i.e., electrolysis time, current density and initial pH. The results based upon statistical analysis showed that the quadratic models for COD removal were significant at very low probability value (<0.0001) and high coefficient of determination (R2 = 0.9621) value. The statistical results also indicated that all the three variables and the interaction between initial pH and electrolysis time were significant on COD abatement. The maximum predicted COD removal using the response function reached 93.3% with electrolysis time of 10 min, current density of 108.3 A/m2 and initial pH of 7.0, respectively. The removal efficiency value was agreed well with the experimental value of COD removal (90.4%) under the optimum conditions.

scholarly journals Optimization of Toluidine Blue Biosorption in Aqueous Solutions Using Polyporus Squamosus Fungi as Absorbent by Response Surface Methodology

2021 ◽  
pp. 60-68
Author(s):  
Liqaa Samir Esmail
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Toluidine Blue ◽  
Low Cost ◽  
Aqueous Media ◽  
Textile Wastewater ◽  
Quadratic Model ◽  
Isotherm Models ◽  
Initial Ph ◽  
Blue Solution

Textile wastewater including a large number of dyes and heavy metals can have adverse impacts on human health and surface water. In this work, biosorption Toluidine Blue from aqueous media onto natural Polypourus squamosus fungi as a low-cost biosorbent was investigated. Central Composite Design (CCD) in Response Surface Methodology (RSM) was successfully applied to optimize the biosorption condition. Medium parameters affected the biosorption of Toluidine Blue were determined to be initial pH, initial Toluidine Blue (Tb) concentration, temperature, and absorbent dosage. All experiments were carried out in a batch system using 250 mL flasks containing 100 mL of Toluidine Blue solution with a temperature-controlled magnetic stirrer. The Tb concentrations remaining in filtration solutions after biosorption were analyzed using UV-Spectro. With the obtained quadratic model, the optimal conditions for maximum biosorbed Toluidine blue were calculated to be 7, 27.5 mg/L, 35°C and 0.05 g for pH, C°, T (°C) and adsorbent dosage, respectively. Furthermore, most known isotherm models such as Langmuir and Freundlich were computed to find the best-fitted model.

scholarly journals Adsorption of Remazol Brillant Green 6B (RBG 6B) on chitin: process optimization using response surface methodology

2018 ◽  
Vol 20 (2) ◽  
pp. 257-268 ◽  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Efficiency ◽  
Dye Removal ◽  
Freundlich Isotherm ◽  
Sem Analysis ◽  
Second Order ◽  
Operating Conditions ◽  
Coefficient Of Determination ◽  
Solution Ph

In the present study, the adsorption of Remazol Brillant Green 6B (RBG 6B) on chitin which characterized by BET, FTIR, XRD and SEM analysis was studied. Response surface methodology (RSM) was applied to determine interaction between solution pH, initial RBG 6B concentration and chitin dosage being individual variables and to optimize operating conditions. According to results of variance analysis (ANOVA), the second order polynomial model was statistically significant (P<0.0001) and coefficient of determination value (R2=0.98) was high. It was determined that dye removal efficiency increased when low solution pH and initial RBG 6B dye concentration and high chitin dosage were used. The maximum dye removal efficiency was obtained as 88% at solution pH of 3.0, initial RBG 6B concentration of 75 mg L-1 and chitin dosage of 5.0 g L-1. The isotherms and kinetics studies showed that Freundlich isotherm and pseudo-second-order kinetics model fitted well to the RBG 6B adsorption data.

A Modelling Study by Response Surface Methodology (RSM) on Turbidity Removal Optimization using Nanocellulose Filter Paper (Neolamarckia Cadamba)

2021 ◽  
Vol 02 (02) ◽  
Author(s):  
Nurul Aienna Ismail ◽  
◽  
Nor Hazren Abdul Hamid ◽  
Keyword(s):  
Response Surface Methodology ◽  
Predictive Model ◽  
Response Surface ◽  
Filter Paper ◽  
Initial Temperature ◽  
Textile Wastewater ◽  
Coefficient Of Determination ◽  
Turbidity Removal ◽  
Experimental Values ◽  
Rsm Model

This study observed the influence of initial turbidity, pH and initial temperature on the turbidity removal from the textile wastewater using nanocellulose filter paper from Neolamarckia Cadamba. Response Surface Methodology (RSM) model was employed to optimize and create a predictive model to evaluate the turbidity removal performance on the nanocellulose filter paper. The performance of the RSM model was statistically evaluated in terms of coefficient of determination, R2. The optimum value of turbidity removal of 99.39% were found at 66 NTU, pH 6.4 and 35.9°C. The value of prediction that obtained from modelling (RSM) was in agreement with the experimental values with R2 = 88.23%, AAD = 6.87% and RMSE = 0.18 towards the efficiency of turbidity removal.

scholarly journals Treatment of sugar industry effluent using an electrocoagulation process: Process optimization using the response surface methodology

2020 ◽  
Vol 85 (10) ◽  
pp. 1357-1369
Author(s):  
Shreyas Gondudey ◽  
Chaudhari Kumar ◽  
Sandeep Dharmadhikari ◽  
Thakur Singh
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Treatment Time ◽  
Sugar Industry ◽  
Oxygen Demand ◽  
Inorganic Materials ◽  
Treated Wastewater ◽  
Optimum Conditions ◽  
Electrocoagulation Process ◽  
Industry Effluent

Wastewater of sugar industries has a high pollutant load due to the presence of organic and inorganic materials. Discharge of untreated or partially treated wastewater has a negative effect on the environment and on the life of humans, plants and animals. In our present studies, it was attempted to treat sugar industry effluent (SIE) by an electrocoagulation process (ECP) using mild steel (MS) as the electrode material. For this purpose, three process parameters, namely pH (5?9), current density (j = 34.7?104 A m-2) and treatment time (tR = 20?100 min), were selected to optimize the process using the response surface methodology (RSM). The optimum conditions were pH 6.66, j = = 104 A m-2 and tR = 100 min. The maximum chemical oxygen demand (COD) removal of 75.98 % was achieved under the optimum conditions. The predicted model by RSM showed R2 = 0.9515. After treatment of the effluent, the sludge content in the treated water was separated effectively by filtration and settling.

scholarly journals RESPONSE SURFACE METHODOLOGY AND DESIRABILITY FUNCTION AS STATISTICAL TOOLS IN THE OPTIMIZATION OF ELECTROCOAGULATION PROCESS IN SURFACE WATER

2020 ◽  
Vol 6 (2) ◽  
pp. 0152-0163
Author(s):  
Efraim Lázaro Reis ◽  
Maria Paulina Mendonza Combatt ◽  
Karina Esther Vasquez Sanjuan ◽  
Antônio Augusto Neves ◽  
Regina Célia Santos Mendonça
Keyword(s):  
Response Surface Methodology ◽  
Surface Water ◽  
Response Surface ◽  
Desirability Function ◽  
Oxygen Demand ◽  
Operating Conditions ◽  
Safe Work ◽  
Apparent Color ◽  
Initial Ph ◽  
Electrocoagulation Process

The electrocoagulation for water clarification for purification have been studied as alternative to the processes of the water treatment. This study aimed to model and to optimize this process for types of water with different turbidity conditions; considering the current intensity, electrolysis time and initial pH on apparent color removal, chemical oxygen demand and surface water turbidity. Electrocoagulation tests were make aluminum electrodes. The optimal operating conditions and models based on the response surface methodology were obtained with central composite design. In order to comply with the esthetic / organoleptic standard stipulated for this stage of the process, the characterization of the three types of water studied must have color < 15 uH, COD < 18 mg L-1 O2 and turbidity < 5 NTU). The correlation between the analyzed answers allows finding specific conditions of the parameters, assisting in the determination of safe work points in the operation of clarification.

scholarly journals Optimization of Crude Oil and PAHs Degradation by Stenotrophomonas rhizophila KX082814 Strain through Response Surface Methodology Using Box-Behnken Design

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Praveen Kumar Siddalingappa Virupakshappa ◽  
Manjunatha Bukkambudhi Krishnaswamy ◽  
Gaurav Mishra ◽  
Mohammed Ameenuddin Mehkri
Keyword(s):  
Response Surface Methodology ◽  
Crude Oil ◽  
Response Surface ◽  
Oxygen Demand ◽  
Inoculum Size ◽  
Coefficient Of Determination ◽  
Oil Removal ◽  
Box Behnken Design ◽  
Stenotrophomonas Rhizophila ◽  
Crude Oil Removal

The present paper describes the process optimization study for crude oil degradation which is a continuation of our earlier work on hydrocarbon degradation study of the isolate Stenotrophomonas rhizophila (PM-1) with GenBank accession number KX082814. Response Surface Methodology with Box-Behnken Design was used to optimize the process wherein temperature, pH, salinity, and inoculum size (at three levels) were used as independent variables and Total Petroleum Hydrocarbon, Biological Oxygen Demand, and Chemical Oxygen Demand of crude oil and PAHs as dependent variables (response). The statistical analysis, via ANOVA, showed coefficient of determination R2 as 0.7678 with statistically significant P value 0.0163 fitting in second-order quadratic regression model for crude oil removal. The predicted optimum parameters, namely, temperature, pH, salinity, and inoculum size, were found to be 32.5°C, 9, 12.5, and 12.5 mL, respectively. At this optimum condition, the observed and predicted PAHs and crude oil removal were found to be 71.82% and 79.53% in validation experiments, respectively. The % TPH results correlate with GC/MS studies, BOD, COD, and TPC. The validation of numerical optimization was done through GC/MS studies and   % removal of crude oil.

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