Optimization of Peroxidase-Catalyzed Oxidative Coupling Process for Phenol Removal from Wastewater Using Response Surface Methodology

2007 ◽  
Vol 41 (20) ◽  
pp. 7073-7079 ◽  
Author(s):  
Salehe Ghasempur ◽  
Seyed-Fakhreddin Torabi ◽  
Seyed-Omid Ranaei-Siadat ◽  
Mehdi Jalali-Heravi ◽  
Nasser Ghaemi ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Oxidative Coupling ◽  
Phenol Removal ◽  
Coupling Process

scholarly journals Application of Response Surface Methodology to Enhance Phenol Removal from Refinery Wastewater by Microwave Process

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Sherif A. Younis ◽  
Waleed I. El-Azab ◽  
Nour Sh. El-Gendy ◽  
Shuokr Qarani Aziz ◽  
Yasser M. Moustafa ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Output Power ◽  
Petroleum Refinery ◽  
Irradiation Time ◽  
Reaction Rates ◽  
Design Parameters ◽  
Phenol Removal ◽  
Refinery Wastewater ◽  
Petroleum Refinery Wastewater

Phenol contaminated petroleum refinery wastewater presents a great threat on water resources safety. This study investigates the effect of microwave irradiation on removal of different concentrations of phenol in an attempt for petroleum refinery wastewater treatment. The obtained results show that the MW output power and irradiation time have a significant positive effect on the removal efficiency of phenol. The kinetic reaction is significantly affected by initial MW output power and initial phenol concentrations. Response surface methodology (RSM) was employed to optimize and study the interaction effects of process parameters: MW output power, irradiation time, salinity, pH, and H2O2 concentration using central composite design (CCD). From the CCD design matrix, a quadratic model was considered as an ultimate model (R2 = 0.75) and its adequacy was justified through analysis of variance (ANOVA). The overall reaction rates were significantly enhanced in the combined MW/H2O2 system as proved by RSM. The optimum values for the design parameters of the MW/H2O2 process were evaluated giving predicted phenol removal percentage of 72.90% through RSM by differential approximation and were confirmed by experimental phenol removal of 75.70% in a batch experiment at optimum conditions of 439 W MW power, irradiation time of 24.22 min, salinity of 574 mg/L, pH 5.10, and initial H2O2 concentration of 10% (v/v).

Optimization of Phenol Removal Using Ti/PbO2 Anode with Response Surface Methodology

2016 ◽  
Vol 142 (4) ◽  
pp. 04016004 ◽  
Author(s):  
C. García-Gómez ◽  
J. A. Vidales-Contreras ◽  
J. Nápoles-Armenta ◽  
P. Gortáres-Moroyoqui
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Phenol Removal ◽  
Pbo2 Anode

Phenol Removal from Wastewater by CWPO process over Cu-MOF nanocatalyst- Process Modeling by Response Surface methodology (RSM) and kinetic and Isothermal Studies

2021 ◽  
Author(s):  
Ozra Golipoor ◽  
Seyed Ali Hosseini
Keyword(s):  
Aqueous Solution ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Modeling ◽  
Metal Organic Frameworks ◽  
Phenol Removal ◽  
Porous Structures ◽  
Phenol Compounds ◽  
Metal Organic

Water-stable metal-organic frameworks (MOFs), with their unique porous structures, have attracted the attention of scientists exploring novel and efficient ways for the elimination of phenol compounds from aqueous solution. Several...

Optimization of Oxidative Coupling of Methane Using Response Surface Methodology

2012 ◽  
Author(s):  
Nor Aishah Saidina Amin ◽  
Zaki Yamani Zakaria
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Oxidative Coupling ◽  
Operating Temperature ◽  
Product Yield ◽  
Weight Percent ◽  
Oxidative Coupling Of Methane ◽  
Equation Model ◽  
Anova Analysis

Tindak balas penggandingan beroksida metana (OCM) terhadap mangkin Li/MgO dioptimumkan menggunakan reka bentuk eksperimen daripada perisian ‘Statsoft Statistica’ versi 6.0. Pemboleh ubah yang di pilih dalam kajian ialah suhu operasi, jumlah kadar aliran suapan per berat mangkin (F/W), dan peratus berat Li yang dimasukkan ke dalam mangkin MgO, manakala penukaran metana, kememilihan C2, dan keberhasilan C2 merupakan sambutannya. Model persamaan diuji menggunakan analisis Anova dengan 99% darjah keyakinan. Metodologi sambutan permukaan (RSM) digunakan bagi menentukan sambutan optimum. Dengan menggunakan analisis varians dan eksperimen tambahan, kejituan model dapat disahkan. Kata kunci: OCM, pengoptimuman, reka bentuk eksperimen, metodologi sambutan permukaan Oxidative Coupling of Methane (OCM) reaction over Li/MgO catalyst was optimized using experimental design from ‘Statsoft Statistica’ version 6.0 software. The manipulated variables chosen in this study were operating temperature, total flow rate per weight of catalyst (F/W), and weight percent of Li doped into MgO catalyst, whilst methane conversion, C2 product selectivity, and C2 product yield were the responses. The equation model was tested with Anova analysis with 99% degree confidence. The Response Surface Methodology (RSM) was employed to determine the optimum responses. By means of variance analysis and additional experiments, the adequacy of this model was confirmed. Key words: OCM, optimization, experimental design, response surface methodology

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 Optimization of process parameters using response surface methodology for the removal of phenol by emulsion liquid membrane

2012 ◽  
Vol 14 (1) ◽  
pp. 46-49 ◽  
Author(s):  
A. Balasubramanian ◽  
S. Venkatesan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Surfactant Concentration ◽  
Liquid Membrane ◽  
Phase Ratio ◽  
Phenol Removal ◽  
Statistical Experimental Design ◽  
Emulsion Liquid Membrane ◽  
Optimization Of Process Parameters

Optimization of process parameters using response surface methodology for the removal of phenol by emulsion liquid membrane Emulsion liquid membrane technique (ELM) was used for the extraction of phenol from synthetic and industrial effluents. In this study, the liquid membrane used for phenol removal was composed of kerosene as the solvent, Span-80 as the surfactant and Sodium hydroxide as an internal reagent. Statistical experimental design was applied for the optimization of process parameters for the removal of phenol by ELM. The effects of process parameters namely, Surfactant concentration, membrane or organic to internal phase ratio (M/I) and emulsion to an external phase ratio (E/E) on the removal of phenol were optimized using a response surface method. The optimum conditions for the extraction of phenol using Response surface methodology were: surfactant concentration - 4.1802%, M/I ratio: 0.9987(v/v), and E/E ratio: 0.4718 (v/v). Under the optimized condition the maximum phenol extraction was found to be 98.88% respectively.

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