scholarly journals Optimization of Electrochemical Treatment Process Conditions for Distillery Effluent Using Response Surface Methodology

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
P. Arulmathi ◽  
G. Elangovan ◽  
A. Farjana Begum
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Current Density ◽  
Treatment Process ◽  
Electrochemical Treatment ◽  
Process Conditions ◽  
Electrolysis Time ◽  
Process Variables ◽  
Batch Mode ◽  
Spent Wash

Distillery industry is recognized as one of the most polluting industries in India with a large amount of annual effluent production. In this present study, the optimization of electrochemical treatment process variables was reported to treat the color and COD of distillery spent wash using Ti/Pt as an anode in a batch mode. Process variables such as pH, current density, electrolysis time, and electrolyte dose were selected as operation variables and chemical oxygen demand (COD) and color removal efficiency were considered as response variable for optimization using response surface methodology. Indirect electrochemical-oxidation process variables were optimized using Box-Behnken response surface design (BBD). The results showed that electrochemical treatment process effectively removed the COD (89.5%) and color (95.1%) of the distillery industry spent wash under the optimum conditions: pH of 4.12, current density of 25.02 mA/cm2, electrolysis time of 103.27 min, and electrolyte (NaCl) concentration of 1.67 g/L, respectively.

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 Osmo- Dehydration Process of Honey-Ginger Candy by using Response Surface Methodology

2020 ◽  
Vol 9 (4) ◽  
pp. 984-986
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Water Loss ◽  
Temperature Response ◽  
Convective Drying ◽  
Process Conditions ◽  
Process Variables ◽  
Solid Gain ◽  
Drying Temperature ◽  
Overall Acceptability

This report is to investigate the effects of process variables on the solid gain, water loss using the Response surface methodology (RSM). The ginger was Osmo-dehydrated using process variables such has blanching time, the temperature for an osmotic solution, immersion, & convective drying temperature .response variables tested were solid gain and water loss. The blanching is done to inactivate the enzyme and to increase permeability in ginger candy. The optimum Osmo-convective process conditions for a maximum solid gain, water loss, and overall acceptability of honey-ginger candy were 8.39 min blanching time, 39˚Csolution temperature, 94 min immersion time, and 70˚C convective drying temperature.

scholarly journals Relationship between the process variables and physicochemical features of liquid-core nanocapsules produced via nanoprecipitation

2019 ◽  
Vol 9 (4) ◽  
pp. 4037-4043
Keyword(s):  
Response Surface Methodology ◽  
Zeta Potential ◽  
Response Surface ◽  
Liquid Core ◽  
Process Conditions ◽  
Process Variables ◽  
Physicochemical Features ◽  
Model Drug ◽  
Poly Caprolactone ◽  
The Relationship

This study investigates the relationship between the physicochemical features of liquid-core nanocapsules created via nanoprecipitation and the adopted process variables. The process variables evaluated are the amount of coating polymer (poly--caprolactone), the amount of stabilizer polymer (poloxamer-188) and the stirring velocity. A statistical response surface methodology is employed to analyze the effect of the process variables on the physicochemical variables of size, polydispersity, zeta potential and efficiency in encapsulating a non-polar drug (carbamazepine). The results show that, although the process variables do not have a statistically significant effect on the response variables, the amount of coating polymer, the amount of stabilizer, and the stirring rate are physicochemically relevant. It is also found that the nanocapsules can contain more than 98% of the model drug, but the efficiency of the drug released may be affected by the process conditions.

Application of Response Surface Methodology for Enhanced Electrochemical Process for the Removal of Phenol from Aqueous Solution using Graphite Electrodes

2017 ◽  
Vol 9 (02) ◽  
pp. 97-107
Author(s):  
Hariraj Singh ◽  
Brijesh Kumar Mishra ◽  
Aditya Prakash Yadav
Keyword(s):  
Response Surface Methodology ◽  
Power Consumption ◽  
Response Surface ◽  
Current Density ◽  
Electrochemical Process ◽  
Phenol Removal ◽  
Electrolysis Time ◽  
Graphite Electrodes ◽  
Operating Variables ◽  
Experimental Values

The aim of the present work was to investigate the removal of phenol from a synthetic solution by the enhanced electrochemical oxidation process using graphite electrodes. Central composite design (CCD) and Box Behnken Design (BBD) under Response Surface Methodology (RSM) tool were used to investigate the effects of major operating variables viz. Current density (mA/ cm2): (2.27 to 4.54), pH: (5.5 to 7.5) and electrolysis time (min): (30 to 90). The predicted values of BBD responses obtained using RSM were more significant than the CCD model in terms of reaction time, whereas under the desirability test CCD model was found more appropriate in terms of phenol removal and power consumption. The optimal result shows that the CCD model predicted and experimental values of phenol removal and power consumption are 92.87 %; 0.866 kWh/m3 and 86.34 %; 1.12 kWh/m3 respectively under optimized variable conditions, current density: 2.78 mA/cm2, pH: 6.98 and electrolysis time: 88.02 minutes at high desirability level.

scholarly journals Optimizing Adsorption of 17α-Ethinylestradiol from Water by Magnetic MXene Using Response Surface Methodology and Adsorption Kinetics, Isotherm, and Thermodynamics Studies

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3150
Author(s):  
Mengwei Xu ◽  
Chao Huang ◽  
Jing Lu ◽  
Zihan Wu ◽  
Xianxin Zhu ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Quadratic Model ◽  
Adsorption Efficiency ◽  
Process Variables ◽  
Adsorption Time ◽  
Initial Concentration ◽  
Independent Variables ◽  
The Impact ◽  
Adsorbent Dose

Magnetic MXene composite Fe3O4@Ti3C2 was successfully prepared and employed as 17α-ethinylestradiol (EE2) adsorbent from water solution. The response surface methodology was employed to investigate the interactive effects of adsorption parameters (adsorption time, pH of the solution, initial concentration, and the adsorbent dose) and optimize these parameters for obtaining maximum adsorption efficiency of EE2. The significance of independent variables and their interactions were tested by the analysis of variance (ANOVA) and t-test statistics. Optimization of the process variables for maximum adsorption of EE2 by Fe3O4@Ti3C2 was performed using the quadratic model. The model predicted maximum adsorption of 97.08% under the optimum conditions of the independent variables (adsorption time 6.7 h, pH of the solution 6.4, initial EE2 concentration 0.98 mg L−1, and the adsorbent dose 88.9 mg L−1) was very close to the experimental value (95.34%). pH showed the highest level of significance with the percent contribution (63.86%) as compared to other factors. The interactive influences of pH and initial concentration on EE2 adsorption efficiency were significant (p < 0.05). The goodness of fit of the model was checked by the coefficient of determination (R2) between the experimental and predicted values of the response variable. The response surface methodology successfully reflects the impact of various factors and optimized the process variables for EE2 adsorption. The kinetic adsorption data for EE2 fitted well with a pseudo-second-order model, while the equilibrium data followed Langmuir isotherms. Thermodynamic analysis indicated that the adsorption was a spontaneous and endothermic process. Therefore, Fe3O4@Ti3C2 composite present the outstanding capacity to be employed in the remediation of EE2 contaminated wastewaters.

scholarly journals Homogenate Extraction of Crocins from Saffron Optimized by Response Surface Methodology

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Yingpeng Tong ◽  
Yu Jiang ◽  
Dan Guo ◽  
Yongqiu Yan ◽  
Shiping Jiang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ethanol Concentration ◽  
Extraction Yield ◽  
Extraction Time ◽  
Process Conditions ◽  
Extraction Temperature ◽  
Single Factor ◽  
Extraction Voltage ◽  
Homogenate Extraction

Saffron, which has many kinds of biological activities, has been widely used in medicine, cosmetics, food, and other fields of health promotion industries. Crocins are the main component of saffron (Crocus sativus L.). At present, most of the extraction methods for crocins require long time or special instruments to complete the process and some of them are not suitable for industrial production at present. In this article, homogenate extraction technology which is a convenient and efficient method was developed for crocins extraction from saffron. Firstly, the influences of extraction voltage, extraction time, ethanol concentration, and temperature on crocins yield were studied by single factor experiments; and then response surface methodology (RSM) was used to optimize levels of four variables based on the result of single factor experiments. Results showed that the optimum extraction process conditions for crocins were as follows: extraction voltage, 110 V; ethanol concentration, 70%; extraction temperature, 57°C; and extraction time, 40 s. Based on these conditions, the extraction yield of crocins can reach 22.76% which is higher than ultrasonic extraction method. Therefore, homogenate extraction is an effective way to extract crocins from saffron with higher extraction yield and shorter extraction time.

Electrochemical Treatment of Simulated Dye Wastewater

2012 ◽  
Vol 441 ◽  
pp. 555-558
Author(s):  
Feng Tao Chen ◽  
San Chuan Yu ◽  
Xing Qiong Mu ◽  
Shi Shen Zhang
Keyword(s):  
Current Density ◽  
Oxygen Demand ◽  
Electrochemical Treatment ◽  
Dye Wastewater ◽  
Electrolysis Time ◽  
Electrochemical Degradation ◽  
Mild Conditions ◽  
Thermal Decomposition Method ◽  
Initial Ph ◽  
Effects Of Ph

The Ti/SnO2-Sb2O3/PbO2 electrodes were prepared by thermal decomposition method and its application in the electrochemical degradation of a heteropolyaromatic dye, Methylene blue (MB), contained in simulated dye wastewater were investigated under mild conditions. The effects of pH, current density and electrolysis time on de-colorization efficiency were also studied. Chemical oxygen demand (COD) was selected as another parameter to evaluate the efficiency of this degradation method on treatment of MB wastewater. The results revealed that when initial pH was 6.0, current density was 50 mA·cm2, electrolysis time was 60 min, Na2SO4 as electrolyte and its concentration was 3.0 g·dm3, the de-colorization and COD removal efficiency can reach 89.9% and 71.7%, respectively.

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