Optimization of arsenite adsorption on hydroxy apatite based adsorbent using the adaptive neuro-fuzzy inference system

Bajić, Zoran; Pamučar, Dragan; Bogdanov, Jovica; Bučko, Mihael; Veličković, Zlate

doi:10.5937/vojtehg67-21519

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…20 The mode of variation of (θ) with the extract concentration (C) determines the adsorption isotherm describing the system. 21 Several adsorption isotherms (Langmuir, Temkin and Frumkin) were evaluated to determine the effective adsorption isotherm, according to the following equations: 22,23 Langmuir:…”

Section: Adsorption Isothermsmentioning

confidence: 99%

Anticorrosion action of the olive leaf compounds extracted under optimal parameters as determined with experimental design

Touazi

Bučko

Maizia

et al. 2023

JSCS

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In this study, an agricultural waste product was used to prepare a green corrosion inhibitor based on olive leaves (Olea Europaea Syslvestris). Firstly, an optimization study of antioxidant activity of Olea Europaea Syslvestris leaves monitored by the DPPH free radical trapping method, was carried out using full factorial design. In the second step, the extract obtained under optimal conditions was tested as a green corrosion inhibitor for steel in 0.5 mol dm?3 HCl, using gravimetric and electrochemical methods. The results obtained by various tech-niques showed that the extract acted as a mixed-type inhibitor. The adsorption of the inhibitor was spontaneous (?Gads = ?12.443kJ mol?1), through the mechanism of physical adsorption, and it obeyed the Langmuir adsorption isotherm. The highest corrosion inhibition efficiency of 92 % was obtained for 2.8 10?3 g cm?3of inhibitor, as measured by gravimetric method.

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Section: Adsorption Isothermsmentioning

confidence: 99%

Anticorrosion action of the olive leaf compounds extracted under optimal parameters as determined with experimental design

Touazi

Bučko

Maizia

et al. 2023

JSCS

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“…In order to confirm the adsorption model that best corresponds to the experimental data, they were analyzed by the ANOVA variance analysis, using the F value together with the values of the correlation coefficient (R) from the regression analysis. (Pantić et al, 2019;Bajić et al, 2019)…”

Section: Statistical Analysis Of the Experimental Datamentioning

confidence: 99%

“…However, it is difficult to predict optimal reaction conditions based on such results due to possible interactions between different independent variables involved in adsorption reactions. (Pantić et al, 2019;Bajić et al, 2019) Recently, various statistical programs have been used that are useful to help establish the design of the experiment. Using response surface methodology (RSM) as a mathematical function, it is possible to examine the individual and interactive influences of different variables in relation to different predictors.…”

Section: Optimization Of the Experimental Adsorption Conditionsmentioning

confidence: 99%

Pulverized river shellfish shells as a 904 cheap adsorbent for removing of malathion from water: Examination of the isotherms, kinetics, thermodynamics and optimization of the experimental conditions by the response surface method

Veličković¹,

Vujičić²,

Stojanović³

et al. 2021

Vojnotehnički glasnik

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Introduction/purpose: In this study, we investigated the possibility of removing the organophosphorus pesticide malathion from water using a new adsorbent based on the biowaste of river shell shards from the Anodonta Sinadonta woodiane family, a material that accumulates in large quantities as waste on the banks of large rivers. Two adsorbents were tested - mechanically comminuted river shells (MRM) and mechanosynthetic hydroxyapatite from comminuted river shells (RMHAp). Methods: The obtained adsorbents were characterized and tested for the removal of the organophosphorus pesticide malathion from water. In order to predict the optimal adsorption conditions using the Response Surface Method (RSM), the authors investigated the influence of variable factors (adsorption conditions), pH values, adsorbent doses, contact times, and temperatures on the adsorbent capacity. Results: The best adsorption of malathion was achieved at mean pH values between 6.0 and 7.0. The adsorption data for malathion at 25, 35, and 45 °C were compared using the Langmuir, Freundlich, DubininRadushkevich (DR), and Temkin isothermal models, as well as pseudofirst order, pseudo-second order and Elovic kinetic models for modeling adsorption kinetics. The maximum Langmuir adsorption capacity for MRM and RMHAp at 25 °C was 46,462 mg g-1 and 78,311 mg g-1 , respectively. Conclusion: The results have showed that malathion adsorption on both adsorbents follows the pseudo-second kinetic model and the Freundlich isothermal model. The thermodynamic parameters indicate the endothermic, feasible, and spontaneous nature of the adsorption process.

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Review of Soft Computing Techniques for Modeling, Design, and Prediction of Wastewater Removal Performance

Banerjee¹,

Karri²,

Mukhopadhyay³

et al. 2021

Soft Computing Techniques in Solid Waste and Wastewater Management

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Optimization of arsenite adsorption on hydroxy apatite based adsorbent using the adaptive neuro-fuzzy inference system

Cited by 5 publications

References 20 publications

Anticorrosion action of the olive leaf compounds extracted under optimal parameters as determined with experimental design

Anticorrosion action of the olive leaf compounds extracted under optimal parameters as determined with experimental design

Pulverized river shellfish shells as a 904 cheap adsorbent for removing of malathion from water: Examination of the isotherms, kinetics, thermodynamics and optimization of the experimental conditions by the response surface method

Review of Soft Computing Techniques for Modeling, Design, and Prediction of Wastewater Removal Performance

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