Central composite design for the optimization of removal of the azo dye, Methyl Red, from waste water using Fenton reaction

Azami, Mahsa; Bahram, Morteza; Nouri, Sirous

doi:10.5267/j.ccl.2013.03.003

Cited by 21 publications

(12 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results show that the H 2 O 2 /Fe 2+ ratio is an important parameter in Fenton's reactions because it directly influences the quantum yield of °OH generation [34]. Its importance was confirmed by previous studies, including Azami et al (2013) during optimization of the azo dye removal, methyl red, from the wastewaterapplied Fenton process. The results confirmed that when increasing Fe…”

Section: Development Of Mathematical Modelsupporting

confidence: 65%

“…, an increasing pattern is detected in the dye removal ratio, but increasing the Fe 2+ more than a specific limit can lead to a fix or decrease the percentage of dye elimination and the optimum ranges of Fe 2+ was 0.1-0.4 mM [35]. The results of studies by Jafari et al (2014) and Tuty Emilia A. et al (2014) showed that increasing the Fe 2+ ion above optimal dosage cannot be the cause of an increase in the removal efficiency because of the tendency of the HO^° to react with Fe 2+ and H 2 O 2 in the oxidation-reduction reaction [4,30].…”

Section: +mentioning

confidence: 99%

See 1 more Smart Citation

Applying Response Surface Methodology to Optimize the Fenton Oxidation Process in the Removal of Reactive Red 2

Mousavi¹,

Nazari²

2017

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Section: Development Of Mathematical Modelsupporting

confidence: 65%

Section: +mentioning

confidence: 99%

Applying Response Surface Methodology to Optimize the Fenton Oxidation Process in the Removal of Reactive Red 2

Mousavi¹,

Nazari²

2017

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

“…These results are also confirmed in previous studies by Azami et al . , Jafari Mansoorian et al . , and Emilia et al .…”

Section: Resultsmentioning

confidence: 99%

Evaluate the Performance of Fenton Process for the Removal of Methylene Blue from Aqueous Solution: Experimental, Neural Network Modeling and Optimization

Mousavi

Vasseghian

Bahadori

2018

Env Prog and Sustain Energy

View full text Add to dashboard Cite

In this article, degradation of Methylene Blue by Fenton's oxidation process was investigated. The effect of, Fe2+ and H2O2 concentrations and reaction time in initial concentration of the dye = 10 mg/L, pH = 3 and lab temperature on the dye removal was studied. Also, Artificial Neural Networks (ANN) was applied to model the dye removal data obtained by Fenton oxidation process. A network consisting of two layers of eight neurons in the hidden layer was considered. Very low root mean squared error (RMSE) of 1.262 and high determination of coefficient (R2) of 0.995 in the network calculation verified validity of the acquired network for further analysis and optimization. © 2018 American Institute of Chemical Engineers Environ Prog, 39:e13126, 2020

show abstract

“…The synthesis of Nd 2 O 3 nanoparticles were carried out based on a published study [43]. The ligand Schiff base was used to synthesize the nanoparticles of neodymium.…”

Section: Synthesis Of Nd 2 O 3 Nanoadsorbentmentioning

confidence: 99%

Acid Dye Removal from Aqueous Solution by Using Neodymium(III) Oxide Nanoadsorbents

et al. 2020

View full text Add to dashboard Cite

In the current work, neodymium oxide (Nd2O3) nanoparticles were synthesized and characterized by means of X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM). The major aim/investigation of this research was to fit/model and optimize the removal of Acid Blue 92 (AB92) dye from synthetic effluents (aqueous solutions) using the adsorption process based on neodymium oxide (Nd2O3) nanoparticles. To optimize the adsorption conditions, central composite design (CCD) based on response surface methodology (RSM) was applied. The effects of pH (3–9), adsorbent dosage (0.1–1 g/L), initial concentration of AB92 (100–300 mg/L), and contact time (10–100 min) on the adsorption process were investigated. Apart from equilibrium and kinetic experiments, thermodynamic evaluation of the adsorption process was also undertaken. The adsorption process was found to have the best fitting to Langmuir isotherm model and pseudo-second-order kinetic equation. Also, the process was found to be spontaneous and favorable with increased temperature. The optimal conditions found were: pH = 3.15, AB92 concentration equal to 138.5 mg/L, dosage of nanoadsorbent equal to 0.83 g/L, and 50 min as contact time, which resulted in 90.70% AB92 removal. High values for the coefficient of determination, R2 (0.9596) and adjusted R2 (0.9220) indicated that the removal of AB92 dye using adsorption can be explained and modeled by RSM. The Fisher’s F-value (25.4683) denotes that the developed model was significant for AB92 adsorption at a 95% confidence level.

show abstract

Central composite design for the optimization of removal of the azo dye, Methyl Red, from waste water using Fenton reaction

Cited by 21 publications

References 13 publications

Applying Response Surface Methodology to Optimize the Fenton Oxidation Process in the Removal of Reactive Red 2

Applying Response Surface Methodology to Optimize the Fenton Oxidation Process in the Removal of Reactive Red 2

Evaluate the Performance of Fenton Process for the Removal of Methylene Blue from Aqueous Solution: Experimental, Neural Network Modeling and Optimization

Acid Dye Removal from Aqueous Solution by Using Neodymium(III) Oxide Nanoadsorbents

Contact Info

Product

Resources

About