scholarly journals Optimization of the Sunset Yellow Dye removal by electrocoagulation using response surface method

2021 ◽  
Author(s):  
Mitra Afshar Moghaddam ◽  
Kambiz Seyyedi
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Flow Rate ◽  
Current Density ◽  
Dye Removal ◽  
Electrolysis Time ◽  
Optimal Conditions ◽  
Sunset Yellow ◽  
Surface Method ◽  
Effluent Flow Rate

Abstract In recent years, among the various treatment methods, the electrocoagulation process has been used for the treatment of effluents containing various dye pollutants. Sunset yellow (S.Y.) azo dye is one of the common food colors widely used in various food industries. This study investigated the removal of the dye S.Y. from aqueous media by the electrocoagulation method in an electrochemical reactor using concentric iron electrodes. The experiments were designed by the Response Surface Method (RSM) with the help of the Minitab software in such a way that the effect of various process-influencing parameters, such as current density, electrolysis time, electrolyte concentration, pH of the solution, and the effluent flow rate, on the desired pollutant removal efficiency was investigated. According to the results of the process optimization by RSM, the optimal conditions for the process were obtained as follows: pH of 10, current density of 2.65 mA/cm2, electrolysis time of 42.32 min, initial dye concentration of 20 mg/L, and effluent flow rate of 2.5 L/min. Under the above optimal conditions, the efficiency of dye removal was more than 99%.

scholarly journals Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method

Molecules ◽  
2019 ◽  
Vol 24 (17) ◽  
pp. 3097 ◽  
Author(s):  
Vuppala ◽  
Chedir ◽  
Jiang ◽  
Chen ◽  
Aziz ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Response Surface ◽  
Response Surface Method ◽  
Current Density ◽  
Membrane Electrode Assembly ◽  
Proton Exchange ◽  
Cell Performance ◽  
Membrane Electrode ◽  
Membrane Thickness ◽  
Surface Method

The membrane electrode assembly (MEA) plays an important role in the proton exchange membrane fuel cell (PEMFC) performance. Typically, the structure comprises of a polymer electrolyte membrane sandwiched by agglomerate catalyst layers at the anode and cathode. Optimization of various parameters in the design of MEA is, thus, essential for reducing cost and material usage, while improving cell performance. In this paper, optimization of MEA is performed using a validated two-phase PEMFC numerical model. Key MEA parameters affecting the performance of a single PEMFC are determined from sensitivity analysis and are optimized using the response surface method (RSM). The optimization is carried out at two different operating voltages. The results show that membrane thickness and membrane protonic conductivity coefficient are the most significant parameters influencing cell performance. Notably, at higher voltage (0.8 V per cell), the current density can be improved by up to 40% while, at a lower voltage (0.6 V per cell), the current density may be doubled. The results presented can be of importance for fuel cell engineers to improve the stack performance and expedite the commercialization.

scholarly journals Optimization of the bioactive compounds content in raspberry during freeze-drying using response surface method

2015 ◽  
Vol 21 (1-1) ◽  
pp. 53-61 ◽  
Author(s):  
Vesna Tumbas-Saponjac ◽  
Gordana Cetkovic ◽  
Sladjana Stajcic ◽  
Jelena Vulic ◽  
Jasna Canadanovic-Brunet ◽  
...  
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Bioactive Compounds ◽  
Freeze Drying ◽  
Optimal Conditions ◽  
Total Anthocyanin ◽  
Factors Affecting ◽  
Surface Method ◽  
Freeze Dried ◽  
Experimental Values

The production of high-quality freeze-dried raspberry was studied by response surface method. Two independent variables, temperature (X1) and time (X2) were determined as the most important factors affecting the final product quality estimated by the responses: total phenol (Y1), total anthocyanin (Y2), vitamin C (Y3) and total bioactive compounds (Y4) content. A two-factor central composite design was used for freeze-drying experiments. The second order polynomial models obtained were found to be significant (p<0.05) for all responses. The statistical analysis of experimental data indicated that only quadratic time variable (X22) had significant (p<0.05) effect on all responses. The optimal conditions for all responses combined were found to be: -31 ?C and 35 h. The experimental values of all responses obtained under optimal conditions were in good agreement with predicted values which enables the use of the proposed mathematical models for optimization of investigated process.

Removal of humic acid from composted hog waste by the white-rot fungus, Phanerochaete chrysosporium

2015 ◽  
Vol 72 (1) ◽  
pp. 92-98 ◽  
Author(s):  
Junying Liu ◽  
Yunmeng Song ◽  
Roger Ruan ◽  
Yuhuan Liu
Keyword(s):  
Humic Acid ◽  
Response Surface ◽  
Phanerochaete Chrysosporium ◽  
Response Surface Method ◽  
Experimental Results ◽  
White Rot ◽  
White Rot Fungus ◽  
Optimal Conditions ◽  
Surface Method ◽  
Strong Agreement

Abstract The potential hazards of humic acid (HA) associated with hog waste effluent, coupled with increasing awareness of environmental problems, have prompted many countries to control disposal of effluents into water bodies and to maximize removal of HA. Here we employed the white-rot fungus, Phanerochaete chrysosporium, to degrade the HA in composted hog waste effluent, evaluated by the response surface method. Preliminary experiments demonstrate that pH, temperature and quantity of inoculum are significant variables determining success of the fungus. In total, 13 experiments were conducted with three variables designated as A (pH), B (temperature) and C (inoculum amount). The optimal conditions for reduction of HA by P. chrysosporium are pH 6, 31.5°C and an inoculum quantity of 5.86 g. Predicted and experimental results exhibit strong agreement, indicating efficiency in the model obtained by response surface method. Therefore, P. chrysosporium is an effective micro-organism for removal of HA from composted hog waste effluent.

Investigation of dye removal from textile wastewater by means of response surface method

2020 ◽  
Vol 31 (08) ◽  
pp. 2050114
Author(s):  
Ahmad Shafee ◽  
P. Valipour ◽  
Aurang Zaib ◽  
Houman Babazadeh
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Dye Removal ◽  
Dye Adsorption ◽  
Textile Wastewater ◽  
Independent Variables ◽  
Surface Method ◽  
Model Equations ◽  
Alkali Activated ◽  
Dyes Removal

The main purpose of this article is to apply response surface method to analyze the residual dyes removal independent variables from the experimental data for dye adsorption onto alkali-activated sand as natural adsorbent from textile wastewater. The independent variables are contact time (3–30[Formula: see text]min) and adsorbent dosage (12.5–100[Formula: see text]g) and the dependent variables are percentage of dye removal and dye adsorbed amount per alkali-activated sand as responses. The effect of the variables, their interaction with each other, the fitted model equations, the adequacy and desirability of the model was evaluated by RSM. Response surface method to analyze the residual dyes removal, which resulted in about 70% dye removal and 30 [Formula: see text][Formula: see text]mg/g dye adsorbed, with 0.983 of desirability for fitted model. Finally, the initial dye concentration effect was investigated.

scholarly journals Sequential three-step process for the treatment of slaughter house wastewater and its optimization using response surface modeling studies

2021 ◽  
Vol 11 (8) ◽  
Author(s):  
Aliya Said Khalfan Al-Saidi ◽  
Nabila Nasser Said Al Rashidi ◽  
M. Geetha Devi ◽  
Varghese Manappallil Joy
Keyword(s):  
Response Surface ◽  
Flow Rate ◽  
Current Density ◽  
Operating Cost ◽  
World Population ◽  
Electrolysis Time ◽  
Adsorption Column ◽  
Maximum Reduction ◽  
Slaughter House ◽  
A Current

AbstractThe rapid growth in the world population and fast developing industrialization have resulted in the acceleration of environmental pollution due to inadequate treatment methods accompanied by depletion of freshwater. The current research focused on the batch treatment of slaughter house wastewater (SWW) using the sequential three-step electro-coagulation (EC)–electro-oxidation (EO)–adsorption column (AC) processes and to compare the optimized values with the Omani National Standards for the application in irrigation purpose. The characterization of SWW before and after treatment was carried out by measuring chemical oxygen demand (COD), total organic carbon (TOC), total dissolved solids (TDS), turbidity, ammoniacal nitrogen (NH4–N) and conductivity. The optimization of the treatment processes was performed by response surface methodology (RSM) using central composite design. The maximum response obtained using EC unit was 99% with an operating cost of 2.78 USD/m3. The optimum treatment conditions in EC method were found to be 4.0 pH, electrolysis time of 30 min and electrolyte dosage of 5 g/L, with a current density of 18.11 mA/cm2. The maximum reduction in COD was 97% with an operating cost 0.32 USD/m3. The optimum COD reduction in EO method was 84.5% with an operating cost of 6.87 USD/m3. The optimum process parameters in the EO process were observed at 5.0 pH, 56.22 min electrolysis time with 5 g/L electrolyte dosage and a current density of 5 mA/cm2. The response shows 56.27% reduction in COD with an operating cost of 0.088 USD/m3. The study demonstrates that both EC and EO processes for the reduction of COD have a significant effect on the current density. Using adsorption column (AC) studies, the maximum reduction in COD was 76.8% with negligible operating cost. The optimum pH in the case of AC was 7.5, with an effluent flow rate of 8.63 mL/min, and the responses were found to be 76.067%, which indicates both pH and flow rate have significant effect on the % removal of COD.

A Proposal of PSO with Presumption Function of the Solution Landscape by Response Surface Method

2014 ◽  
Vol 134 (9) ◽  
pp. 1293-1298
Author(s):  
Toshiya Kaihara ◽  
Nobutada Fuji ◽  
Tomomi Nonaka ◽  
Yuma Tomoi
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Surface Method
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