Optimization of saline wastewater treatment using electrochemical oxidation process: Prediction by RSM method

Darvishmotevalli, Mohammad; Zarei, Ahmad; Moradnia, Maryam; Noorisepehr, Mohammad; Mohammadi, Hamed

doi:10.1016/j.mex.2019.03.015

Cited by 112 publications

(32 citation statements)

References 46 publications

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“…Thus, RSM overcomes situations requiring a large number of experiments minimizing additional chemicals, time, and expensive analysis, promoting a reduction of extra costs (Biswas et al 2019;Şahan 2019). RSM advantages guaranteed its application in several works regarding the removal of contaminants from water to process parameter optimization, such as adsorption (Kaynar et al 2018;Biswas et al 2019;Deng and Chen 2019;Hasan and Setiabudi 2019;Kaur et al 2019;Şahan 2019;Sharifpour et al 2019;Wakkel et al 2019), electrocoagulation (Barsç and Turkay 2016;Murdani et al 2018;Rabahi et al 2018;Deveci et al 2019;Karamati-Niaragh et al 2019), Fenton reaction (Saeed et al 2015;Xie et al 2016;Liu et al 2018), electrochemical oxidation (Garg and Prasad 2015;Domínguez et al 2016;Darvishmotevalli et al 2019;Duarte et al 2019), and photocatalytic degradation (Mirzaei et al 2018;Galedari et al 2019;Karimi et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Caffeine removal using Elaeis guineensis activated carbon: adsorption and RSM studies

Melo

Ide

Duarte

et al. 2020

Environ Sci Pollut Res

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The palm (Elaeis guineensis), known as dendê, is an important oleaginous Brazilian plant with a high performance of oil production. In this work, a 2 3 full experimental design was performed and the response surface method (RSM) was used to indicate the optimum parameter of caffeine adsorption on Elaeis guineensis endocarp activated carbon, since the endocarp is the main by-product from dendê oil production. It was set the adsorbent point of zero charge (pH pzc), and the material was characterized by Fourier transform infrared spectroscopy (FT-IR), thermogravimetric analysis (TGA), and scanning electron microscopy (SEM). The RSM results indicate removal efficiency (%) at the optimal conditions, 0.20 g of adsorbent, and caffeine initial concentration of 20 mg/L, and acidic medium was about 95%. Based on ANOVA and F test (F calculated > F standard), the mathematical/statistical model obtained fits well to the experimental data. The overall kinetic studies showed time was achieved after 5 h and caffeine adsorption followed the pseudo-second-order model suggesting chemisorption is a predominant mechanism. Redlich-Peterson and Sips models best represented the experimental data (0.967 < R 2 < 0.993). Thermodynamic revealed that caffeine adsorption was spontaneous at all temperatures studied, exothermic, and probably with changes in the adsorbate-adsorbent complex during the process. The tests conducted in different water matrixes corroborate the suitability of this adsorbent to be used in caffeine removal even in a complex solution.

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Section: Introductionmentioning

confidence: 99%

Caffeine removal using Elaeis guineensis activated carbon: adsorption and RSM studies

Melo

Ide

Duarte

et al. 2020

Environ Sci Pollut Res

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“…It has also been found to be helpful in attaining increased gene expression and enzyme production ( Abdel-Fattah et al, 2007 ; Halder et al, 2013 ; Meng et al, 2015 ). The screened variables/components significantly affecting the biodegradation process can then be further optimized using response surface methodology (RSM) ( Darvishmotevalli et al, 2019 ). For a generation of response plots, various designs like central composite design (CCD), Box-Behnken design, etc.…”

Section: Introductionmentioning

confidence: 99%

Uncovering Competitive and Restorative Effects of Macro- and Micronutrients on Sodium Benzoate Biodegradation

et al. 2021

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A model aromatic compound, sodium benzoate, is generally used for simulating aromatic pollutants present in textile effluents. Bioremediation of sodium benzoate was studied using the most abundant bacteria, Pseudomonas citronellolis, isolated from the effluent treatment plants of South Gujarat, India. Multiple nutrients constituting the effluent in actual conditions are proposed to have interactive effects on biodegradation which needs to be analyzed strategically for successful field application of developed bioremediation process. Two explicitly different sets of fractional factorial designs were used to investigate the interactive influence of alternative carbon, nitrogen sources, and inorganic micronutrients on sodium benzoate degradation. The process was negatively influenced by the co-existence of other carbon sources and higher concentration of KH2PO4 whereas NH4Cl and MgSO4 exhibited positive effects. Optimized concentrations of NH4Cl, MgSO4, and KH2PO4 were found to be 0.35, 1.056, and 0.3 mg L–1 respectively by central composite designing. The negative effect of high amount of KH2PO4 could be ameliorated by increasing the amount of NH4Cl in the biodegradation milieu indicating the possibility of restoration of the degradation capability for sodium benzoate degradation in the presence of higher phosphate concentration.

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“…To overcome the limitations and disadvantages of the conventional methods, optimising the affecting factors with Response Surface Methodology (RSM) becomes indispensable. The RSM is a reliable statistical technique used for multivariate systems to design experiments, build models, evaluate the effects of factors and seek optimum conditions for desirable responses (Wang et al ., 2014; Arruda et al ., 2020; Darvishmotevalli et al ., 2019; Kucuk and Kocakerim, 2019; Mazloomi et al ., 2019; Yang et al ., 2020).…”

Section: Introductionmentioning

confidence: 99%

Assessing desalination pretreatment conditions towards pilot scale‐up using Box‐Behnken experimental design

Hout

Salem

Tassalit

et al. 2020

Water & Environment J

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The purpose of this study is to optimize the operating conditions in batch mode using Box‐Behnken Design (BBD), for the coagulation‐flocculation line sizing prior the sand filter in the pilot scale. Three coagulants were employed to achieve a high turbidity removal with a low concentration of residual metals. The results showed that the best turbidity removal was obtained with FeCl3. Using BBD (15 experiments), the optimal parameters were: coagulant dose = 5.5 mg FeCl3/L, slow stirring time = 33 min and slow stirring velocity = 45 rpm, in these conditions, the turbidity removal reached 94.89% and the residual iron concentration was 0.449 mg/L. Regarding the model fit, the obtained R2 values were 99.67% for turbidity removal and 99.47% for residual iron concentration. The optimum conditions obtained from this study could be scaled up and applied to desalination plants. BBD approach is of great interest because it allows the prediction of the response value without performing experiments.

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Optimization of saline wastewater treatment using electrochemical oxidation process: Prediction by RSM method

Abstract: Graphical abstract

Cited by 112 publications

References 46 publications

Caffeine removal using Elaeis guineensis activated carbon: adsorption and RSM studies

Caffeine removal using Elaeis guineensis activated carbon: adsorption and RSM studies

Uncovering Competitive and Restorative Effects of Macro- and Micronutrients on Sodium Benzoate Biodegradation

Assessing desalination pretreatment conditions towards pilot scale‐up using Box‐Behnken experimental design

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