scholarly journals Central composite design for the optimization of removal of the azo dye, methyl orange, from waste water using fenton reaction

2012 ◽  
Vol 77 (2) ◽  
pp. 235-246 ◽  
Author(s):  
Mahsa Azami ◽  
Morteza Bahram ◽  
Sirous Nouri ◽  
Abdolhosein Naseri

In this study the degradation of Methyl Orange, using Fenton reaction was studied and optimized using central composite design as a response surface methodology. The effects of various experimental parameters in this reaction were investigated using central composite design. 28 experiments, with 4 factors and 5 levels for each factor were designed. These factors (or variables) were: initial concentration of Fe (II), initial concentration of H2O2, initial concentration of oxalate and the reaction time. A full-quadratic polynomial equation between the percentage of dye degradation (as a response) and the studied parameters was established. After removing the non-significant variables from the model, response surface method was used to obtain the optimum conditions. The optimum ranges of variables were: 0.25 - 0.35 mM for initial concentration of Fe (II), 5-17 mM for initial concentration of H2O2, 4-9 mM for initial concentration of oxalate, and 50-80 min for the reaction time. Also the results of extra experiments showed that these optimized values can be used for real samples and yield to a high value for the response.

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
M. C. Math ◽  
K. N. Chandrashekhara

The Central Composite Design is used for the optimization of alkaline catalyzed transesterification parameters such as methanol quantity, catalytic concentration, and rotational speed by keeping the temperature and reaction time constant. The Central Composite Design method is employed to get the maximum safflower oil methyl ester yield. The combined effects of catalyst concentration, rotational speed, and molar ratio of alcohol to oil were investigated and optimized using response surface methodology. A statistical model has predicted the maximum yield of safflower oil methyl ester (94.69% volume of oil) parameters such as catalyst concentration (0.6 grams), methanol amount (30 mL), rotational speed (600 rpm), and keeping constant reaction temperature (55°C to 65°C) and reaction time (60 minutes). Experimental maximum yield of 91.66% was obtained at above parameters. XLSTAT is used to generate a linear model to predict the methyl ester yield as a function of methanol quantity, catalyst concentration, and rotational speed by keeping constant reaction temperature (55°C to 65°C) and reaction time (60 minutes). MINITAB is used to draw the 3D response surface plot and 2D contour plot to predict the maximum biodiesel yield.


2021 ◽  
Vol 43 (6) ◽  
pp. 461-475
Author(s):  
Nur Hanis Mohamad Hanapi ◽  
Sharifah Hanis Yasmin Sayid Abdullah ◽  
Azimah Ismail ◽  
Hafizan Juahir

Objectives : This study evaluated and identified the removal of colors and chemocal oxygen demands from thextile dye effluents by Bacillus cereus isolated from the local textile wastewater treatment plant.Methods : Central composite design (CCD) from response surface methodology (RSM) was applied in order to achieve the optimized treatment process condition for the textile dyes wastewater degradation. Two-level of three process parameters with six center points resulted a total of twenty runs of experiments were performed. Bacterial inoculum (-1,+1) (%, v/v), agitation (-1, +1) (rpm), and pH (-1, +1) were tested.Results and Discussion : During the ten days of biodegradation process, highest decolourization achieved was 88.67% with low pH and agitation; and medium level of initial concentration of bacterial inoculum. Highest chemical oxygen demand (COD) removal was achieved with 99.20% from high pH (pH 10), low agitation (100 rpm) and high initial concentration of bacterial inoculum (15%, v/v).Conclusions : The biological treatments was able to remove colour and chemical oxygen demand with application of CCD, giving the optimum settings of the three process parameters studied.


2019 ◽  
Vol 2 (3) ◽  
pp. 48
Author(s):  
Hisworo Ramdani ◽  
Reki Wicaksono Ashadi ◽  
Narjisul Ummah

This study aims to get the maximum uptake condition to produce the best vitamin C, color, and water content that was desired. The analysis used in this study uses the Central Composite Design from Response Surface Methodology (RSM). RSM was a tool that can calculate the optimum value of the factors given based on research data or better known as Multiple Variable Functions (FPG). The temperature and blast time as a research experimental factor of the desired response are color and vitamin C. The color optimization results showed Y = 17.276 - 0.945x1 + 1.787x2 - 1.638x12 - 2.619x22 + 0.934x1x2 and produce maximum color at optimum temperature and reaction time 85.46 (86 ± 0.5) oC and 12 minutes. The optimization results of vitamin C showed Y = 12.144 + 1.834x1 + 0.117x2 + 1.441x12 - 1.052x22 - 1.540x1x2 and produce maximum vitamin C at optimum temperature and reaction time 98.11 (98 ± 0.5) oC and 5 minutes. The results of the validation at the above temperature produce a color of 17.4 and vitamin C 15.2 mg / 100 g.Keywords: blanch, chili, drying, optimization, RSM


2015 ◽  
Vol 9 (11) ◽  
pp. 68
Author(s):  
Widayat Widayat ◽  
Hadiyanto Hadiyanto ◽  
Bambang Cahyono ◽  
Ngadiwiyana Ngadiwiyana

The objective of this research was to obtain optimum condition of eugenol production from clove oil using a central composite design method. The main process occured in the eugenol production was saphonification and neutralization processes. In order to optimize these processes, the ratio of NaOH/clove oil and temperature were studied as design variables i.e. ratio of NaOH/clove oil=1:2.5-1:3.5 while temperature was varied between 40 and 60oC. The yield of eugenol was considered as the main response in of this experiment. The result showed that the optimum condition was achieved when the temperature and the ratio of NaOH/clove oil were 50oC and 2.75:1, respectively and the yield was 39.17%.<br />


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