Optimization studies on Biosorption of Copper (II) by Crab Shell Using Response Surface Methodology(RSM)

2010 ◽  
Vol 5 (1) ◽  
Author(s):  
Sudesh S ◽  
Meenakshi M ◽  
Sheeja R.Y ◽  
Thanapalan Murugesan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Crab Shell ◽  
Box Behnken Design ◽  
Initial Ph ◽  
Predicted Values ◽  
Experimental Values ◽  
The Individual ◽  
Maximum Removal ◽  
Good Agreement

In the present work, crab shell was used as the biosorbent to remove copper from aqueous solution. Batch experiments were performed at different initial copper concentration of copper solutions (1-40 g/l), initial pH (2-9), temperature (20-400°C), and biosorbent dosages (2-10 g/l). The maximum removal of copper using crab shell occurred at a pH of 3 and at a temperature of 400°C using an optimum biosorbent dosage of 5 g/l. A mathematical model was proposed to identify the effects of the individual interactions of these variables on the biosorption of copper. The results have been modeled using response surface methodology using a Box-Behnken design. The response surface method was developed using three levels (-1, 0, +1) with the above mentioned four factors. The second order quadratic regression model fitted the experimental data with Prob > F to be < 0.0001. The experimental values were found to be in good agreement with the predicted values, with a satisfactory correlation coefficient of R2 = 0.9999.

Optimization of Nigerian Restaurant Waste Cooking Biodiesel Reaction Parameters using Response Surface Methodology

2014 ◽  
Vol 3 (4) ◽  
pp. 21-33
Author(s):  
M.A. Waheed ◽  
O.D. Samuel ◽  
B.O. Bolaji ◽  
O.U. Dairo
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Maximum Yield ◽  
Waste Cooking Oil ◽  
Molar Ratio ◽  
Optimization Parameters ◽  
Predicted Values ◽  
Experimental Values ◽  
Restaurant Waste ◽  
Good Agreement

The present work deals with the production of biodiesel from Nigerian restaurant waste cooking oil (NRWCO) and the optimization of the parameters that influences the alkaline transesterification of NRWCO into biodiesel using response surface methodology. The optimization parameters like oil: oil/methanol molar ratio, catalyst amount and reaction time were done using Design Expert 6.06 software. It was found that the maximum yield of biodiesel was obtained in 79.8 min for 1: 5.9, oil: methanol ratio, 1.2 wt. % KOH amount. A total of 20 experiments using Central Composite Design were carried out. The R2, adjusted R2 and predicted R2 values were 0.982, 0.9657 and 0.9088 respectively show that the experimental values are in good agreement with the predicted values. The properties of biodiesel at the optimized parameters, thus, produced confirm to the ASTM, EN and BIS specifications, making it an ideal alternative fuel for diesel engine.

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.

Optimisation of the Oil Extraction from Nigella sativa Seeds Using Response Surface Methodology

2017 ◽  
Vol 68 (2) ◽  
pp. 331-336
Author(s):  
Gabriela Isopencu ◽  
Mirela Marfa ◽  
Iuliana Jipa ◽  
Marta Stroescu ◽  
Anicuta Stoica Guzun ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Nigella Sativa ◽  
Polynomial Equation ◽  
Herbaceous Plant ◽  
Box Behnken Design ◽  
Pareto Analysis ◽  
Black Cumin ◽  
Mediterranean Countries ◽  
Experimental Values

Nigella sativa, also known as black cumin, an annual herbaceous plant growing especially in Mediterranean countries, has recently gained considerable interest not only for its use as spice and condiment but also for its healthy properties of the fixed and essential oil and its potential as a biofuel. Nigella sativa seeds fixed oil, due to its high content in linoleic acid followed by oleic and palmitic acid, could be beneficial to human health. The objective of this study is to determine the optimum conditions for the solvent extraction of Nigella sativa seeds fixed oil using a three-level, three-factor Box-Behnken design (BBD) under response surface methodology (RSM). The obtained experimental data, fitted by a second-order polynomial equation were analysed by Pareto analysis of variance (ANOVA). From a total of 10 coefficients of the statistical model only 5 are important. The obtained experimental values agreed with the predicted ones.

scholarly journals Removal of benzotriazole by Photo-Fenton like process using nano zero-valent iron: response surface methodology with a Box-Behnken design

2017 ◽  
Vol 19 (1) ◽  
pp. 104-112 ◽  
Author(s):  
Mehdi Ahmadi ◽  
Kurosh Rahmani ◽  
Ayat Rahmani ◽  
Hasan Rahmani
Keyword(s):  
Response Surface Methodology ◽  
Electron Microscope ◽  
Response Surface ◽  
Sem Analysis ◽  
Zero Valent Iron ◽  
X Ray Diffraction ◽  
Box Behnken Design ◽  
Transmission Electron ◽  
Nano Zero Valent Iron ◽  
Good Agreement

Abstract In this paper, the removal of benzotriazole (BTA) was investigated by a Photo-Fenton process using nano zero valent iron (NZVI) and optimization by response surface methodology based on Box-Behnken method. Effect of operating parameters affecting removal efficiency such as H2O2, NZVI, and BTA concentrations as well as pH was studied. All the experiments were performed in the presence of ultraviolet radiation. Predicted levels and BTA removal were found to be in good agreement with the experimental levels (R2 = 0. 9500). The optimal parameters were determined at 60 min reaction time, 15 mg L-1 BTA, 0.10 g L-1 NZVI, and 1.5 mmol L-1 H2O2 for Photo-Fenton-like reaction. NZVI was characterized using X-ray diffraction (XRD), transmission electron microscope (TEM) images, and scanning electron microscope (SEM) analysis.

scholarly journals Optimization of chlorite and talc flotation using experimental design methodology: Case study of the MCG plant, Morocco

2020 ◽  
Vol 120 (12) ◽  
Author(s):  
K. Boujounoui ◽  
A. Abidi ◽  
A. Baçaoui ◽  
K. El Amari ◽  
A. Yaacoubi
Keyword(s):  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Desirability Functions ◽  
Sulphide Ore ◽  
Experimental Values ◽  
Experimental Design Methodology ◽  
Central Composite ◽  
Good Agreement

SYNOPSIS Response surface methodology (RSM), central composite design (CCD), and desirability functions were used for modelling and optimization of the operating factors in chlorite and talc (collectively termed 'mica') flotation. The influence of pulp pH, cyanide (NaCN) consumption, and particle size was studied with the aim of optimizing ssilicate flotation while minimizing recoveries of galena, chalcopyrite, and sphalerite. Flotation tests were carried out on a representative sample of a complex sulphide ore from Draa Sfar mine (Morocco). The model predictions for the flotation of each of the minerals concerned were found to be in good agreement with experimental values, with R2 values of 0.91, 0.98, 0.99, and 0.90 for mica, galena, chalcopyrite, and sphalerite recoveries, respectively. RSM combined with desirability functions and CCD was successfully applied for the modelling of mica flotation, considering simultaneously the four flotation responses to achieve the maximum recovery of mica and minimal loss of Pb, Cu, and Zn to the flotation concentrate. Keywords: chlorite, talc, flotation, response surface methodology, central composite design, optimization.

scholarly journals Study on optimal adsorption conditions of norfloxacin in water based on response surface methodology

2022 ◽  
Author(s):  
Ming Zhang ◽  
Kuo Zhang ◽  
Jinpeng Wang ◽  
Runjuan Zhou ◽  
Jiyuan Li ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Reaction Temperature ◽  
Polynomial Regression ◽  
Single Factor ◽  
Solution Ph ◽  
Box Behnken Design ◽  
Simulated Wastewater ◽  
Predicted Values ◽  
Single Factor Experiment

Abstract The waste pomelo peel was pyrolyzed at 400 °C to prepare biochar and used as adsorbent to remove norfloxacin (NOR) from simulated wastewater. The adsorption conditions of norfloxacin by biochar were optimized by response surface methodology (RSM). On the basis of single-factor experiment, the adsorption conditions of biochar dosage, solution pH and reaction temperature were optimized by Box-Behnken Design (BBD), and the quadratic polynomial regression model of response value Y1 (NOR removal efficiency) and Y2 (NOR adsorption capacity) were obtained respectively. The results show that the two models are reasonable and reliable. The influence of single factor was as follows: solution pH &gt; biochar dosage &gt; reaction temperature. The interaction between biochar dosage and solution pH was very significant. The optimal adsorption conditions after optimization were as follows: biochar dosage = 0.5 g/L, solution pH = 3, and reaction temperature = 45 °C. The Y1 and Y2 obtained in the verification experiment were 75.68% and 3.0272 mg/g, respectively, which were only 2.38% and 0.0242 mg/g different from the theoretical predicted values of the model. Therefore, the theoretical model constructed by response surface methodology can be used to optimize the adsorption conditions of norfloxacin in water.

scholarly journals The Optimization of Parameters for the Spray Drying Process of Wood Apple Extract using Response Surface Methodology

2019 ◽  
Vol 9 (2) ◽  
pp. 4528-4535
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Spray Drying ◽  
Sensory Quality ◽  
Drying Process ◽  
Nutritional Components ◽  
Predicted Model ◽  
Input Variables ◽  
Predicted Values ◽  
Experimental Values

Wood apple is a fruit, which containing many nutrient values and bioactive compounds. In the present study, The response surface methodology (RSM) was used to optimize the input variables of the spray drying process. Three coded independent variables viz. input dry substance concentration (X1 ), input flow (X2 ), spray drying temperature (X3 ), corresponds to the encoded variables Z1 (from 20 to 24 %), Z2 (from 5.35 to 6.72 mL/min.), Z3 (from 140 to 160oC). The R2 correlation coefficient between the experimental values and the predicted values from the model up to 0.967 indicated the satisfactorily of the predicted model. Three optimal input parameters to get the highest efficiency of dry matter recovery (51.80 %) were derived at Z1 = 24 %, Z2 = 5.35 mL/min., Z3 = 160oC. The powder product obtained has a good sensory quality, high contents of antioxidants and nutritional components.

Process Optimization of Microwave Drying Sludge with Response Surface Methodology

2011 ◽  
Vol 396-398 ◽  
pp. 1269-1272 ◽  
Author(s):  
Mu Xin Han ◽  
Dong Mei Li ◽  
Yu Jie Feng ◽  
Yu Fei Tan
Keyword(s):  
Response Surface Methodology ◽  
Moisture Content ◽  
Response Surface ◽  
Microwave Drying ◽  
Tree Bark ◽  
Treatment Efficiency ◽  
Optimum Parameters ◽  
Predicted Values ◽  
Experimental Values ◽  
The Relationship

To enhance further treatment efficiency of the sludge, a process microwave drying of sludge was optimized using response surface methodology (RSM). A quadratic polynomial mathematical model was developed through Box-Behnken experimental design to describe the relationship between tested variables and moisture content of sludge. The experimental values were found to be in accordance with the predicted values, the correlation coefficient is 0.9203(P < 0.001). Estimated optimum parameters were as follows: The sludge: tree bark is 58:1, microwave power is 630w and processing time is 5.32 minutes. Under these conditions, a lowest moisture content of sludge (49.12%) after microwave drying was reached.

scholarly journals OPTIMIZATION AND CHARACTERIZATION OF CHITOSAN-BASED NANOPARTICLES CONTAINING METHYLPREDNISOLONE USING BOX-BEHNKEN DESIGN FOR THE TREATMENT OF CROHN’S DISEASE

2019 ◽  
pp. 12-23
Author(s):  
GANESH N. SHARMA ◽  
C. H. PRAVEEN KUMAR ◽  
BIRENDRA SHRIVASTAVA ◽  
B. KUMAR
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Encapsulation Efficiency ◽  
Release Mechanism ◽  
Box Behnken Design ◽  
Fed State ◽  
Drug Release Mechanism ◽  
Predicted Values

Objective: The present research was designed to produce methylprednisolone containing chitosan-based nanoparticles using Box-Behnken Design (BBD) and Response Surface Methodology (RSM) for optimization. Methods: Nanostructures were prepared using the ionic gelation method with screened process parameters. According to the design, methylprednisolone chitosan-based nanoparticles (MCSNPs) were optimized using factors like methylprednisolone concentration, stirring speed and temperature whereas particle size, zeta potential and % encapsulation efficiency as responses. From the observed values of responses with confirmation location and desirability, the predicted values were very close to the observed values. Results: Observed values for the optimized formulation have a particle size of 243±2.33 nm with an encapsulation efficiency of 79.3±7.2%. Morphology of the particles using scanning electron microscopy reveals nearly spherical shaped particles. Methylprednisolone was released in vitro in a sustained manner for about 24 h in simulated colonic fluid pH 7, pH 7.8 (Fasted state) and phosphate buffer pH 7.4, when compared to simulated colonic fluid at pH 6 (Fed state). Optimized MCSNPs followed Korsmeyer peppas kinetics with drug release mechanism as anomalous transport. Conclusion: Application of Box-Behnken design and Response Surface Methodology using Design Expert software was successfully used in the optimization of methylprednisolone loaded chitosan-based nanoparticles with high encapsulation efficiency.

scholarly journals Optimization of Reflux Conditions for Total Flavonoid and Total Phenolic Extraction and Enhanced Antioxidant Capacity in Pandan (Pandanus amaryllifoliusRoxb.) Using Response Surface Methodology

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Ali Ghasemzadeh ◽  
Hawa Z. E. Jaafar
Keyword(s):  
Response Surface Methodology ◽  
Antioxidant Capacity ◽  
Response Surface ◽  
Total Phenolic ◽  
Extraction Temperature ◽  
Solid Ratio ◽  
Central Composite Experimental Design ◽  
Operation Parameters ◽  
Predicted Values ◽  
Experimental Values

Response surface methodology was applied to optimization of the conditions for reflux extraction of Pandan (Pandanus amaryllifoliusRoxb.) in order to achieve a high content of total flavonoids (TF), total phenolics (TP), and high antioxidant capacity (AC) in the extracts. Central composite experimental design with three factors and three levels was employed to consider the effects of the operation parameters, including the methanol concentration (MC, 40%–80%), extraction temperature (ET, 40–70°C), and liquid-to-solid ratio (LS ratio, 20–40 mL/g) on the properties of the extracts. Response surface plots showed that increasing these operation parameters induced the responses significantly. The TF content and AC could be maximized when the extraction conditions (MC, ET, and LS ratio) were 78.8%, 69.5°C, and 32.4 mL/g, respectively, whereas the TP content was optimal when these variables were 75.1%, 70°C, and 31.8 mL/g, respectively. Under these optimum conditions, the experimental TF and TP content and AC were 1.78, 6.601 mg/g DW, and 87.38%, respectively. The optimized model was validated by a comparison of the predicted and experimental values. The experimental values were found to be in agreement with the predicted values, indicating the suitability of the model for optimizing the conditions for the reflux extraction of Pandan.

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