Modeling and optimization of tartaric acid reactive extraction from aqueous solutions: A comparison between response surface methodology and artificial neural network

Marchitan, Natalia; Cojocaru, Corneliu; Mereuta, Aliona; Duca, Gheorghe; Creţescu, Igor; Gonţa, Maria

doi:10.1016/j.seppur.2010.08.016

Cited by 108 publications

(39 citation statements)

References 41 publications

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“…The role of ANO-VA test is to compare variation due to deviation from mean value. In Table 3 ) are very often used in literature 31,38 . Correlation coefficient is 0.920 that indicates a solid performance of the proposed CCD model.…”

Section: Resultsmentioning

confidence: 99%

Optimization of Quercetin Extraction from Green Tea ( Camellia sinensis ) Using Central Composite Design, and the Pharmacological Activity of the Extract

Savić

Nikolić

et al. 2016

Chem.Biochem.Eng.Q.

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The aim of this paper was to optimize an extraction procedure of quercetin from green tea using central composite design. Extraction time, ethanol concentration, and solid to liquid ratio were selected as the independent variables, while quercetin yield was defined as a response. The impact of factors and their interactions on the quercetin yield was studied based on the results of ANOVA test. The extraction time of 58.5 min, ethanol concentration of 94.7 % (v/v), and solid to liquid ratio of 1:19.4 (m/v) were found as the optimal conditions. The experimental confirmation of the proposed optimal conditions indicated that there was a good agreement between the experimental and predicted values. In addition to quercetin, the presence of 17 bioactive compounds was confirmed in the green tea extract using mass spectrometry method. Antioxidant, antimicrobial and antitumor activity of the optimal extract was determined using DPPH assay, disk diffusion method, and MTT assay, respectively.

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Section: Resultsmentioning

confidence: 99%

Optimization of Quercetin Extraction from Green Tea ( Camellia sinensis ) Using Central Composite Design, and the Pharmacological Activity of the Extract

Savić

Nikolić

et al. 2016

Chem.Biochem.Eng.Q.

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“…RSM is a widely used optimization technique that allows the location of optimum point on the modeled response surface, which corresponds to the optimum conditions where the optimum system response is observed (Rajkumar and Muthukumar 2012;Cicek et al 2008;Marchitan et al 2010;Soreanu et al 2009). The most common models used in RSM are polynomial regression equations having the general expression (i.e., Marchitan et al 2010):…”

Section: Response Surface Modelingmentioning

confidence: 99%

“…The ordinary least squares (OLS) method is usually used, and the estimations of the regression coefficients can be written as follows (Akhnazarova and Kafarov 1982;Bezerra et al 2008;Marchitan et al 2010;Myers and Montgomery 2002):…”

Section: Response Surface Modelingmentioning

confidence: 99%

A low-cost sorbent for removal of copper ions from wastewaters based on sawdust/fly ash mixture

Creţescu

Soreanu

Harja

2014

Int. J. Environ. Sci. Technol.

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In the present work, a low-cost sorbent prepared from mixed local conifer sawdust (SW) and fly ash (FA) provided by a Romanian power plant was developed. On the basis of the preliminary studies, both materials were qualified as suitable sorbents for the removal of copper ions; however, the sorption capacity and material structures of the SW is influenced by the FA. Therefore, a sorbent based on SW-FA mixture is proposed in this study for the removal of copper ions to improve the efficiency of the SW alone. The sorption capacity of the novel sorbent toward Cu(II) ion removal from aqueous solution has been investigated by employing the regression modeling techniques. In order to describe the sorption equilibrium, the obtained data were fitted using the classical isotherm models. In addition, the experimental design and response surface methodology have been applied for modeling and optimization of the Cu(II) removal process. The operational parameters used in the experimental design were as follows: the initial copper concentration, pH of initial solution and sorbent dose. The maximum removal efficiency of Cu(II) was 79.56 %, which was experimentally validated.

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“…The process parameters determine the performance. Many studies have exploited the probability of optimizing and predicting the results applying models based on reaction kinetics [21][22][23], artificial neural networks [24,25], and response surface methodology (RSM) [26]. Among these methods, RSM is a statistical-based method with wide application for designing experiments, evaluating the individual, and interaction effects of independent variables simultaneously, and optimizing the process parameters with limited number of trials according to special experimental design based on factorial designs [27,28].…”

Section: Introductionmentioning

confidence: 99%

Optimization of electro-Fenton oxidation of biologically pretreated coal gasification wastewater by response surface methodology

Hou

Han

et al. 2015

Desalination and Water Treatment

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A B S T R A C TThe response surface methodology coupled with central composite design was applied to optimize the operational parameters of electro-Fenton (EF) as advanced treatment of biologically pretreated coal gasification wastewater. The integration of TOC, COD, and total phenols removal was selected as the response for model establishment and optimization. A quadratic model with high significance was developed to predict the treatment performance and optimize process parameters. The optimal parameters were determined as pH 3.83, 1.44 mmol L −1 of Fe 2+ concentration, and 16.28 mA cm −2 of current density, with the predicted optimal integration removal efficiency of 73.29%. TOC decay in the EF under optimal condition followed pseudo-first-order kinetic reaction with the apparent rate constant of 0.0103 min −1 . The mass transfer constant was determined to be 4.29 × 10 −5 m s −1 at the optimal current density. The results demonstrated that EF could serve as a technically feasible and cost-effective method with potential applications for the advanced treatment of biologically stabilized coal gasification wastewater.

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Modeling and optimization of tartaric acid reactive extraction from aqueous solutions: A comparison between response surface methodology and artificial neural network

Cited by 108 publications

References 41 publications

Optimization of Quercetin Extraction from Green Tea ( Camellia sinensis ) Using Central Composite Design, and the Pharmacological Activity of the Extract

Optimization of Quercetin Extraction from Green Tea ( Camellia sinensis ) Using Central Composite Design, and the Pharmacological Activity of the Extract

A low-cost sorbent for removal of copper ions from wastewaters based on sawdust/fly ash mixture

Optimization of electro-Fenton oxidation of biologically pretreated coal gasification wastewater by response surface methodology

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