Efficient oxidation/mineralization of pharmaceutical pollutants using a novel Iron (III) oxyhydroxide nanostructure prepared via plasma technology: Experimental, modeling and DFT studies

Pelalak, Rasool; Heidari, Zahra; Alizadeh, Reza; Ghareshabani, Eslam; Nasseh, Negin; Marjani, Azam; Albadarin, Ahmad B.; Shirazian, Saeed

doi:10.1016/j.jhazmat.2021.125074

Cited by 45 publications

(9 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As can be observed, all the terms of the model (the linear and interaction terms) have a p-value less than 0.05, which means that both terms are significantly effective on REA 36 , 37 . Moreover, the calculated F-value for the regression model is meaningfully higher than the acquired F-distribution, which demonstrates the predicted strength of the fitted model 38 .…”

Section: Resultsmentioning

confidence: 91%

Modeling and optimization of radish root extract drying as peroxidase source using spouted bed dryer

Hamedi

Afsahi

Riahi‐Madvar

et al. 2021

Sci Rep

View full text Add to dashboard Cite

The main advantages of the dried enzymes are the lower cost of storage and longer time of preservation for industrial applications. In this study, the spouted bed dryer was utilized for drying the garden radish (Raphanus sativus L.) root extract as a cost-effective source of the peroxidase enzyme. The response surface methodology (RSM) was used to evaluate the individual and interactive effects of main parameters (the inlet air temperature (T) and the ratio of air flow rate to the minimum spouting air flow rate (Q)) on the residual enzyme activity (REA). The maximum REA of 38.7% was obtained at T = 50 °C and Q = 1.4. To investigate the drying effect on the catalytic activity, the optimum reaction conditions (pH and temperature), as well as kinetic parameters, were investigated for the fresh and dried enzyme extracts (FEE and DEE). The obtained results showed that the optimum pH of DEE was decreased by 12.3% compared to FEE, while the optimum temperature of DEE compared to FEE increased by a factor of 85.7%. Moreover, kinetic parameters, thermal-stability, and shelf life of the enzyme were considerably improved after drying by the spouted bed. Overall, the results confirmed that a spouted bed reactor can be used as a promising method for drying heat-sensitive materials such as peroxidase enzyme.

show abstract

Section: Resultsmentioning

confidence: 91%

Modeling and optimization of radish root extract drying as peroxidase source using spouted bed dryer

Hamedi

Afsahi

Riahi‐Madvar

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The fitted and trained model was further used to interpret the obtained adsorption data 71 . The results of simulations as 3D and 2D plots of Qe are illustrated in Figs.…”

Section: Resultsmentioning

confidence: 99%

Neural-based modeling adsorption capacity of metal organic framework materials with application in wastewater treatment

Parsaei

Roudbari

Piri

et al. 2022

Sci Rep

View full text Add to dashboard Cite

We developed a computational-based model for simulating adsorption capacity of a novel layered double hydroxide (LDH) and metal organic framework (MOF) nanocomposite in separation of ions including Pb(II) and Cd(II) from aqueous solutions. The simulated adsorbent was a composite of UiO-66-(Zr)-(COOH)2 MOF grown onto the surface of functionalized Ni50-Co50-LDH sheets. This novel adsorbent showed high surface area for adsorption capacity, and was chosen to develop the model for study of ions removal using this adsorbent. A number of measured data was collected and used in the simulations via the artificial intelligence technique. Artificial neural network (ANN) technique was used for simulation of the data in which ion type and initial concentration of the ions in the feed was selected as the input variables to the neural network. The neural network was trained using the input data for simulation of the adsorption capacity. Two hidden layers with activation functions in form of linear and non-linear were designed for the construction of artificial neural network. The model’s training and validation revealed high accuracy with statistical parameters of R2 equal to 0.99 for the fitting data. The trained ANN modeling showed that increasing the initial content of Pb(II) and Cd(II) ions led to a significant increment in the adsorption capacity (Qe) and Cd(II) had higher adsorption due to its strong interaction with the adsorbent surface. The neural model indicated superior predictive capability in simulation of the obtained data for removal of Pb(II) and Cd(II) from an aqueous solution.

show abstract

“…Heterogeneous transition metal-based catalysts (e.g., oxides, 12 hydroxides, 13,14 oxyhydroxides, 15 and suldes 16 ) are readily used in AOPs. Their advantages include earth abundance, high stability, low cost, etc.…”

Section: Introductionmentioning

confidence: 99%

Reactive oxygen species on transition metal-based catalysts for sustainable environmental applications

et al. 2022

View full text Add to dashboard Cite

show abstract

Efficient oxidation/mineralization of pharmaceutical pollutants using a novel Iron (III) oxyhydroxide nanostructure prepared via plasma technology: Experimental, modeling and DFT studies

Cited by 45 publications

References 61 publications

Modeling and optimization of radish root extract drying as peroxidase source using spouted bed dryer

Modeling and optimization of radish root extract drying as peroxidase source using spouted bed dryer

Neural-based modeling adsorption capacity of metal organic framework materials with application in wastewater treatment

Reactive oxygen species on transition metal-based catalysts for sustainable environmental applications

Contact Info

Product

Resources

About