Comparative Study Between Response Surface Methodology and Artificial Neural Network for Adsorption of Crystal Violet on Magnetic Activated Carbon

Salehi, Iman; Shirani, Mahboube; Semnani, Abolfazl; Hassani, Mohsen; Habibollahi, Saeed

doi:10.1007/s13369-016-2109-3

Cited by 37 publications

(12 citation statements)

References 27 publications

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“…The straight line nature of the graph with positive slope indicates the endothermic nature of the reaction. An increase in temperature helps the reaction to compete more efficiently with decreasing the chances of e -/h + recombination [24,25]. The energy of activation, Ea, was calculated from the value of intercept of Arrhenius plot of ln k vs 1/T (Fig.…”

Section: Thermodynamic Studymentioning

confidence: 99%

Effect of doping parameters on photocatalytic degradation of methylene blue using Ag doped ZnO nanocatalyst

Shelar

Mahajan

Patil³

et al. 2020

SN Appl. Sci.

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The aim of this study is the synthesis, characterization and photocatalytic degradation of ZnO and Ag doped ZnO nanocatalysts of various compositions synthesized by using co-precipitation method. The nanocatalysts were annealed at the 723.15 K temperature. The obtained nanocatalysts were characterized in concerns their crystalline structure using X-ray diffraction, morphology using scanning electron microscopy (SEM) and electron dispersive X-ray spectroscopy (EDS) in concern with their composition. Photocatalytic activity of nanocatalyst was tested by applying it for photocatalytic degradation of Methylene Blue under different experimental conditions. The photocatalytic activity found to increase with the increase of dopant concentration.

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Section: Thermodynamic Studymentioning

confidence: 99%

Effect of doping parameters on photocatalytic degradation of methylene blue using Ag doped ZnO nanocatalyst

Shelar

Mahajan

Patil³

et al. 2020

SN Appl. Sci.

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“…Water pollution is an urgent environmental problem world widely for large amount of toxics in wastewaters generated from manufacturing and industries, including pesticides, 1,2 medicines, 3 dyes, 4–8 endocrine disruptor, 9 radioactives, 10 and so forth. These water pollutions make people suffering from a severe environmental problem, which poses a big threat to human health and ecological balance 11,12 .…”

Section: Introductionmentioning

confidence: 99%

Chestnut shell‐like hollow spheres of C/Co₃O₄ nanoparticles as adsorbent for the removal of Congo red in wastewater

Wang

et al. 2022

Env Prog and Sustain Energy

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Chestnut shell‐like hollow spheres of C/Co3O4 nanoparticles was prepared through hydrothermal method, and occupied as adsorbent for the treatment of toxic dyes in wastewater. The obtained material was analyzed by XRD, SEM, TEM, XPS, and BET, the resultant R‐Co3O4/C hybrid hollow spheres were of hollow structure and performed excellent in the adsorption of Congo red (CR). The adsorption capacities of CR and was determined to be 446.43 mg g−1. CR was calculated to be chemisorpted on R‐Co3O4/C hybrid hollow sphere, and R‐Co3O4/C hybrid hollow sphere after been used can be fast regenerated through UV‐Fenton process at pH 3 and showed good cyclic stability.

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“…13,14 RSM is a statistical approach that allows establishing the relationships between several independent variables (factors) and process outcomes, which is subsequently analyzed to identify the optimum values of the independent variables for the best response. [15][16][17][18] Due to the complication and variability of persuading factors, it is hard to estimate the comparative importance of some affecting factors, also, in many processes, the relationship between them, and the response variable is usually unknown, especially in the presence of complex interactions. 14 Optimization through applying RSM involves the implementation of the statistically designed experiments for minimizing the number of experiments to be performed; then the estimation of the coefficients of a mathematical model using regression analysis method;…”

Section: Introductionmentioning

confidence: 99%

Statistical optimization of photocatalytic degradation process of methylene blue dye by SnO–TiO₂–AC composite using response surface methodology

Deriase

El‐Salamony

Amdeha

et al. 2021

Env Prog and Sustain Energy

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Photocatalytic activity of bi-metal oxides SnO-TiO 2 -AC photocatalyst was evaluated in methylene blue (MB) dye degradation In this study, a three-level, four-factor, D-optimal experimental design, combined with response surface methodology, was employed to optimize the photocatalytic degradation process of MB dye in a batch reactor. Effectiveness of essential process variables: light intensity (254-400 nm), initial dye concentration (100-200 ppm), photocatalyst dose (0.5-1.5 g/L), and irradiation time (1-5 h) were investigated, modeled, and optimized successfully. To determine the process efficiency, the final concentration of dye together with degradation percentage was defined as response variables. Analysis of variance indicated that the proposed quadratic polynomial models agreed with the experimental study with R 2 and p-value of 0.9211, p < 0.001 and 0.8166, p < 0.05 for a final concentration of dye and degradation percentage, respectively. Numerical optimization was carried out based on the desirability function for maximum dye removal. Accordingly, dye removal conditions resulted in light intensity, initial dye concentration, photocatalyst dose, and irradiation time of 400 nm of visible light, 100 ppm, 1.5 g/L, and 3.77 h, respectively. Under these optimal conditions, the final dye concentration and degradation percentage were 4.713 ppm and 95.28%. According to Pareto analysis, the order of the operating variables on the dye degradation efficiency was: photocatalyst does < irradiation time < light intensity < initial concentration of dye.

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Comparative Study Between Response Surface Methodology and Artificial Neural Network for Adsorption of Crystal Violet on Magnetic Activated Carbon

Cited by 37 publications

References 27 publications

Effect of doping parameters on photocatalytic degradation of methylene blue using Ag doped ZnO nanocatalyst

Effect of doping parameters on photocatalytic degradation of methylene blue using Ag doped ZnO nanocatalyst

Chestnut shell‐like hollow spheres of C/Co₃O₄ nanoparticles as adsorbent for the removal of Congo red in wastewater

Statistical optimization of photocatalytic degradation process of methylene blue dye by SnO–TiO₂–AC composite using response surface methodology

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Comparative Study Between Response Surface Methodology and Artificial Neural Network for Adsorption of Crystal Violet on Magnetic Activated Carbon

Cited by 37 publications

References 27 publications

Effect of doping parameters on photocatalytic degradation of methylene blue using Ag doped ZnO nanocatalyst

Effect of doping parameters on photocatalytic degradation of methylene blue using Ag doped ZnO nanocatalyst

Chestnut shell‐like hollow spheres of C/Co3O4 nanoparticles as adsorbent for the removal of Congo red in wastewater

Statistical optimization of photocatalytic degradation process of methylene blue dye by SnO–TiO2–AC composite using response surface methodology

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Product

Resources

About

Chestnut shell‐like hollow spheres of C/Co₃O₄ nanoparticles as adsorbent for the removal of Congo red in wastewater

Statistical optimization of photocatalytic degradation process of methylene blue dye by SnO–TiO₂–AC composite using response surface methodology