Comparative analysis study by response surface methodology and artificial neural network on salicylic acid adsorption optimization using activated carbon

Taoufik, Nawal; Elmchaouri, Abdellah; Mahmoudi, Soufiane El; Korili, S.A.; Gil, A.

doi:10.1016/j.enmm.2021.100448

Cited by 19 publications

(13 citation statements)

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“…A rotatable central composite design uniform with rotational isovariance and uniform accuracy was used to investigate the empirical relationships between two responses (PCP removal efficiency and adsorbed amount). This matrix has many advantages, particularly high resolution and minimal number of trials [ 33 ]. For four factors (pH of solution, mass of adsorbent, contact time, and initial concentration), a full five-level factorial design requires 54—625 experiments, while the centered composite design with rotational isovariance requires only 31 experiments.…”

Section: Discussionmentioning

confidence: 99%

“…The traditional method remains limited since it does not consider all of the possible combinations; however, this is possible using a statistical design, such as response surface methodology (RSM) [ 31 , 32 ]. RSM employs a group of mathematical and statistical techniques based on the fit of empirical models with experimental data obtained as part of the experimental design [ 33 ]. To achieve this objective, linear or square polynomial functions are used to describe the system studied and, consequently, to explore the experimental conditions until optimization is reached.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of the Pentachlorophenol Adsorption by Organo-Clays Based on Response Surface Methodology

et al. 2022

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The aim of this study is to optimize the adsorption of pentachlorophenol (PCP) using an organo-clay under the response surface methodology. The adsorbent was selected from a montmorillonite exchanged by various cations, such as Fe3+, Al3+, Zn2+, Mg2+, Na+, and modified by bromide cetyltrimethylammonium (CTAB) as surfactant. The obtained organo-montmorillonite was characterized using several techniques, such as Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), thermogravimetric analysis (TGA), scanning electron microscopy (SEM), and nitrogen adsorption, performed at −196 °C. The results showed an increase in basal space from 1.65 to 1.88 nm and a decrease in the specific surface and pore volume, with an increase in pore diameter, including the presence of characteristic bands of -CH2- and -CH3- groups at 2926 and 2854 cm−1 in the FTIR spectrum after the modification. The optimization of PCP removal by clay adsorbents is achieved using the response surface methodology (RSM) with a four-factor central composite model, including pH of solution, mass of adsorbent, contact time, and initial concentration. The results proved the validity of the regression model, wherein the adsorption capacity reaches its maximum value of 38 mg/g at a lower adsorbent mass of 20 mg, pH of 6, contact time (tc) of 5 h, and initial concentration of 8 mg/L.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of the Pentachlorophenol Adsorption by Organo-Clays Based on Response Surface Methodology

et al. 2022

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“…The pollution of wastewater by drugs and their byproducts is an increasingly serious environmental problem. − Salicylic acid is one of the simplest aromatic phenolic acids . It is a kind of analgesic, antipyretic drug and plays an important role in preventing platelet aggregation . It is also an irreplaceable synthetic raw material for some traditional medicines such as aspirin and glyburide as well as a synthetic raw material or intermediate for food preservatives, dyes, and pesticides .…”

Section: Introductionmentioning

confidence: 99%

“… 4 It is a kind of analgesic, antipyretic drug and plays an important role in preventing platelet aggregation. 5 It is also an irreplaceable synthetic raw material for some traditional medicines such as aspirin and glyburide as well as a synthetic raw material or intermediate for food preservatives, dyes, and pesticides. 6 In recent years, salicylic acid has been identified as a water pollutant due to its chroma and high ecological toxicity.…”

Section: Introductionmentioning

confidence: 99%

Mass-Transfer Simulation of Salicylic Acid on Weakly Polar Hyper-cross-linked Resin XDA-200 with Coadsorption of Sodium Ion

et al. 2022

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The mass-transfer process of salicylic acid on hyper-cross-linked resin XDA-200 was experimentally and theoretically studied. Undissociated salicylic acid was found to be the favorable form for salicylic acid adsorption on the resin. A pH-dependent adsorption isotherm model established in this paper could well fit the adsorption isotherm data at different pH values. Surface diffusion is the main mass-transfer mode for salicylic acid in resin particles. The salicylate anions and Na + coadsorbed on the resin. The modified surface diffusion model considering the coadsorption was proposed. The model could satisfactorily fit the concentration decay curves of salicylic acid at different pH values and feed concentrations. NaOH aqueous solution at pH 12 could elute salicylic acid in the fixed bed efficiently. A pH-dependent dynamic adsorption and elution process model considering axial diffusion, external mass transfer, surface diffusion, pH-dependent adsorption equilibrium, as well as coadsorption of salicylate anions and Na + was established. The model could well predict the breakthrough and elution curves at different feed concentrations. The research carried out in this paper has reference significance for optimizing the separation process of salicylic acid and its analogues.

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“…The relationship between factors and a response could be modeled by fitting a linear equation using multiple linear regression to experimental data. Several studies use the multiple linear regression analysis together with other statistical tools such as factor analysis or artificial neural network to correlate the factors that influence a process and optimize them (Lin et al , 2013; Strand et al , 2015; Kim et al , 2018; Ghaedi et al , 2018; Taoufik et al , 2021).…”

Section: Introductionmentioning

confidence: 99%

Use of multivariate analysis for determining the most influential physicochemical properties of activated carbon in cadmium removal

Valencia

Kou

2022

MMMS

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PurposeThe goal of this paper is to model the activated carbon adsorption capacity of cadmium using a polynomial regression model. The properties that influence the removal of heavy metals by activated carbon must be taken into consideration in order to synthesize materials specific to the characteristics of the pollutant.Design/methodology/approachMultivariable analysis applications allow a comprehensive description of the relationship between activated carbon surface properties and heavy metal adsorption.FindingsThe authors use a second-grade polynomial regression model to determine the influence of porosity and surface acidity in cadmium adsorption by activated carbon.Originality/valueThe authors propose a statistic analysis to correlate the carbon properties with its cadmium adsorption capacity. Model coefficient analysis will give a better comprehension of the influence of activated carbon porosity and surface acidity of cadmium removal.

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Comparative analysis study by response surface methodology and artificial neural network on salicylic acid adsorption optimization using activated carbon

Cited by 19 publications

References 50 publications

Optimization of the Pentachlorophenol Adsorption by Organo-Clays Based on Response Surface Methodology

Optimization of the Pentachlorophenol Adsorption by Organo-Clays Based on Response Surface Methodology

Mass-Transfer Simulation of Salicylic Acid on Weakly Polar Hyper-cross-linked Resin XDA-200 with Coadsorption of Sodium Ion

Use of multivariate analysis for determining the most influential physicochemical properties of activated carbon in cadmium removal

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