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.

Optimisation of chemical oxygen demand removal from landfill leachate by sonocatalytic degradation in the presence of cupric oxide nanoparticles

2017 ◽  
Vol 35 (6) ◽  
pp. 636-646 ◽  
Author(s):  
Paria Amirian ◽  
Edris Bazrafshan ◽  
Abolfazl Payandeh
Keyword(s):  
Response Surface Methodology ◽  
Chemical Oxygen Demand ◽  
Response Surface ◽  
Landfill Leachate ◽  
Cupric Oxide ◽  
Oxygen Demand ◽  
Oxide Nanoparticles ◽  
Ultrasonic Frequency ◽  
Optimum Conditions ◽  
Cupric Oxide Nanoparticles

Leachate is the liquid formed when waste breaks down in the landfill and water filters through that waste. This liquid is very toxic and can pollute the land, ground water, and water resources. In most countries, it is mandatory for landfills to be protected against leachate. In addition to all other harms to the environment, disposal of raw landfill leachate can be a major source of hazard to closed water bodies. Hence, treatment of landfill leachate is considered an essential step prior to its discharge from source. This article describes the sonocatalytic degradation of chemical oxygen demand in landfill leachate using cupric oxide nanoparticles as sonocatalyst (cupric oxide/ultrasonic) and aims to establish this method as an effective alternative to currently used approaches. An ideal experimental design was carried out based on a central composite design with response surface methodology. The response surface methodology was used to evaluate the effect of process variables including pH values (3, 7, 11), cupric oxide nanoparticles dose (0.02, 0.035, 0.05 g), reaction time (10, 35, 60 minutes), ultrasonic frequency (35, 37, 130 KHz), and their interaction towards the attainment of their optimum conditions. The derived second-order model, including both significant linear and quadratic terms, seemed to be adequate in predicting responses (R2 = 0.9684 and prediction R2 = 0.9581). The optimum conditions for the maximum chemical oxygen demand sonocatalytic degradation of 85.82% were found to be pH 6.9, cupric oxide nanoparticles dosage of 0.05 gr L−1, and the ultrasonic frequency of 130 kHz at a contact time of 10 min.

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 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 The Application of Response Surface Methodology (RSM) on the Optimization of Catfish Bone Calcium Extraction

2018 ◽  
Vol 20 (1) ◽  
pp. 41
Author(s):  
Susana Endah Ratnawati ◽  
Nurfitri Ekantari ◽  
Rizky Wana Pradipta ◽  
B L Paramita
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Linear Models ◽  
Treatment Time ◽  
Maximum Yield ◽  
Calcium Content ◽  
Response Prediction ◽  
Optimum Conditions ◽  
Low Protein ◽  
Bone Calcium

This study was designed to determine the optimum conditions on catfish bone calcium extraction through Response Surface Methodology (RSM) which used factorial design and 13 treatments. Tests were used to know the influence of independent variables (solvents concentrations and treatment time) on the calcium content of bone flour. As a result, linear models were used as response prediction. Maximum response was obtained by calcium extraction using 5% NaOH during 30 minutes or 11.64% HCl within 58 minutes. It is shown that calcium content were 15.74-17.46% with more than 87.5% accuracy level. Calcium extraction using 5% NaOH during 30 minutes produced flour which has Ca/P ratio 3:1, maximum yield and whiteness level. Low protein and moisture content might result in the long shelf life of catfish bone flour.

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 Effective Chromium Adsorption From Aqueous Solutions and Tannery Wastewater Using Bimetallic Fe/Cu Nanoparticles: Response Surface Methodology and Artificial Neural Network

2021 ◽  
Vol 14 ◽  
pp. 117862212110281
Author(s):  
Ahmed S. Mahmoud ◽  
Nouran Y. Mohamed ◽  
Mohamed K. Mostafa ◽  
Mohamed S. Mahmoud
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Industrial Effluent ◽  
Oxygen Demand ◽  
Operating Conditions ◽  
Tannery Wastewater ◽  
P Value ◽  
Cu Nanoparticles ◽  
Artificial Neural ◽  
Cr Removal

Tannery industrial effluent is one of the most difficult wastewater types since it contains a huge concentration of organic, oil, and chrome (Cr). This study successfully prepared and applied bimetallic Fe/Cu nanoparticles (Fe/Cu NPs) for chrome removal. In the beginning, the Fe/Cu NPs was equilibrated by pure aqueous chrome solution at different operating conditions (lab scale), then the nanomaterial was applied in semi full scale. The operating conditions indicated that Fe/Cu NPs was able to adsorb 68% and 33% of Cr for initial concentrations of 1 and 9 mg/L, respectively. The removal occurred at pH 3 using 0.6 g/L Fe/Cu dose, stirring rate 200 r/min, contact time 20 min, and constant temperature 20 ± 2ºC. Adsorption isotherm proved that the Khan model is the most appropriate model for Cr removal using Fe/Cu NPs with the minimum error sum of 0.199. According to khan, the maximum uptakes was 20.5 mg/g Cr. Kinetic results proved that Pseudo Second Order mechanism with the least possible error of 0.098 indicated that the adsorption mechanism is chemisorption. Response surface methodology (RSM) equation was developed with a significant p-value = 0 to label the relations between Cr removal and different experimental parameters. Artificial neural networks (ANNs) were performed with a structure of 5-4-1 and the achieved results indicated that the effect of the dose is the most dominated variable for Cr removal. Application of Fe/Cu NPs in real tannery wastewater showed its ability to degrade and disinfect organic and biological contaminants in addition to chrome adsorption. The reduction in chemical oxygen demand (COD), biological oxygen demand (BOD), total suspended solids (TSS), total phosphorus (TP), total nitrogen (TN), Cr, hydrogen sulfide (H2S), and oil reached 61.5%, 49.5%, 44.8%, 100%, 38.9%, 96.3%, 88.7%, and 29.4%, respectively.

scholarly journals Optimization and Modelling of Chemical Oxygen Demand Removal by ANAMMOX Process Using Response Surface Methodology

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Ali Jalilzadeh ◽  
Ramin Nabizadeh ◽  
Alireza Mesdaghinia ◽  
Aliakbar Azimi ◽  
Simin Nasseri ◽  
...  
Keyword(s):  
Chemical Oxygen Demand ◽  
Response Surface ◽  
Oxygen Demand ◽  
Cod Removal ◽  
Ammonium Concentration ◽  
Ammonium Oxidation ◽  
Optimum Conditions ◽  
Surface Method ◽  
Anammox Process ◽  
Modelling And Optimization

A systematic model for chemical oxygen demand (COD) removal using the ANAMMOX (Anaerobic AMMonium OXidation) process was provided based on an experimental design. At first, the experimental data was collected from a combined biological aerobic/anaerobic reactor. For modelling and optimization of COD removal, the main parameters were considered, such as COD loading, ammonium, pH, and temperature. From the models, the optimum conditions were determined as COD 97.5 mg/L, ammonium concentration equal to 28.75 mg-N/L, pH 7.72, and temperature 31.3°C. Finally, the analysis of the optimum conditions, performed by the response surface method, predicted COD removal efficiency of 81.07% at the optimum condition.

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.

scholarly journals Response surface methodology approach for the optimisation of adsorption of hydrolysed polyacrylamide from polymer-flooding wastewater onto steel slag: a good option of waste mitigation

2017 ◽  
Vol 76 (4) ◽  
pp. 776-784 ◽  
Author(s):  
Mijia Zhu ◽  
Jun Yao ◽  
Zhonghai Qin ◽  
Luning Lian ◽  
Chi Zhang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Efficiency ◽  
Contact Time ◽  
Interactive Effect ◽  
Steel Slag ◽  
Oxygen Demand ◽  
Polymer Flooding ◽  
High Concentration ◽  
Adsorbent Dosage

Wastewater produced from polymer flooding in oil production features high viscosity and chemical oxygen demand because of the residue of high-concentration polymer hydrolysed polyacrylamide (HPAM). In this study, steel slag, a waste from steel manufacturing, was studied as a low-cost adsorbent for HPAM in wastewater. Optimisation of HPAM adsorption by steel slag was performed with a central composite design under response surface methodology (RSM). Results showed that the maximum removal efficiency of 89.31% was obtained at an adsorbent dosage of 105.2 g/L, contact time of 95.4 min and pH of 5.6. These data were strongly correlated with the experimental values of the RSM model. Single and interactive effect analysis showed that HPAM removal efficiency increased with increasing adsorbent dosage and contact time. Efficiency increased when pH was increased from 2.6 to 5.6 and subsequently decreased from 5.6 to 9.3. It was observed that removal efficiency significantly increased (from 0% to 86.1%) at the initial stage (from 0 min to 60 min) and increased gradually after 60 min with an adsorbent dosage of 105.2 g/L, pH of 5.6. The adsorption kinetics was well correlated with the pseudo-second-order equation. Removal of HPAM from the studied water samples indicated that steel slag can be utilised for the pre-treatment of polymer-flooding wastewater.

Optimization and statistical analysis of sono-Fenton treated wastewater of food industry using reactor by response surface method

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Vijay A. Juwar ◽  
Ajit P. Rathod
Keyword(s):  
Reaction Time ◽  
Response Surface ◽  
Food Industry ◽  
Batch Reactor ◽  
Oxygen Demand ◽  
Volume Ratio ◽  
Cod Removal ◽  
Treated Wastewater ◽  
Experimental Result ◽  
Molar Ratio

Abstract The present study deals with the treatment of complex waste (WW) treated for removal of chemical oxygen demand (COD) of the food industry by a sono-Fenton process using a batch reactor. The response surface methodology (RSM) was employed to investigate the five independent variables, such as reaction time, the molar ratio of H2O2/Fe2+, volume ratio of H2O2/WW, pH of waste, and ultrasonic density on COD removal. The experimental data was optimized. The optimization yields the conditions: Reaction time of 24 min, HP:Fe molar ratio of 2.8, HP:WW volume ratio of 1.9 ml/L, pH of 3.6 and an ultrasonic density of 1.8 W/L. The predicted value of COD was 91% and the experimental result was 90%. The composite desirability value (D) of the predicted percent of COD removal at the optimized level of variables was close to one (D = 0.991).

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