Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol

Mohammad, Y.S.; Shaibu-Imodagbe, E.M.; Igboro, S.B.; Giwa, Abdur-Rahim Adebisi; Okuofu, C. A.

doi:10.1155/2014/278075

Cited by 26 publications

(20 citation statements)

References 41 publications

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“…Also it shows that 14.34% of the variation is not discussed by the model and is due to residual errors [21]. The model can be validated if the value of 2 is approaching unity and value of standard deviation is lower [23]. The standard deviation was obtained as 7.43, showing good fit with the model.…”

Section: Development Of Model Equation and Optimization Of Experimentmentioning

confidence: 78%

Tea fiber waste as an adsorbent to remove phenol from wastewater

Surana¹,

Bagri²,

Girish

2018

IJET

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The current work investigates the phenol adsorption from wastewater using tea fibre waste as an adsorbent. The agricultural waste was treated with phosphoric acid and various properties like surface are, pore volume and average particle size of the adsorbent were determined. The optimization of the parameters like temperature, pH, dosage and concentration were done with response surface methodology (RSM). The quadratic model developed from the optimization was used to relate the variation of percent removal with respect to experimental parameters. The equilibrium data obeyed Freundlich model while kinetic data followed first order model. From the thermodynamic studies, the feasibility of the process was found. The adsorption capacity for the tea fibre was obtained as 12.59 mg/g.

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Section: Development Of Model Equation and Optimization Of Experimentmentioning

confidence: 78%

Tea fiber waste as an adsorbent to remove phenol from wastewater

Surana¹,

Bagri²,

Girish

2018

IJET

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“…1. The R 2 value closer to unity is desirable as an indication that predicted values are closer to the actual values [14]. The R 2 value is relatively high at R 2 = 0.9625, indicating that there is good agreement between the adsorption capacity from experimental data and model prediction.…”

Section: Development Of Model For Optimisation Of Cuo Impregnationmentioning

confidence: 80%

Optimisation of Copper Oxide Impregnation on Carbonised Oil Palm Empty Fruit Bunch for Nitric Oxide Removal using Response Surface Methodology

et al. 2018

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Oil palm empty fruit bunch (EFB) was successfully modified with phosphoric acid hydration followed by impregnation with copper oxide (CuO) to synthesize CuO modified catalytic carbon (CuO/EFBC) for low-temperature removal of nitric oxide (NO) from gas streams. CuO impregnation was optimised through response surface methodology (RSM) using Box-Behnken Design (BBD) in terms of metal loading (5-20%), sintering temperature (200-800˚C) and sintering time (2-6 hours). The model response for the variables was NO adsorption capacity, which was obtained from an up-flow column adsorption experiment with 100 mL/min flow of 500 ppm NO/He at different operating conditions. The optimum operating variables suggested by the model were 20% metal loading, 200˚C sintering temperature and 6 hours sintering time. A good agreement (R2 = 0.9625) was achieved between the experimental data and model prediction. ANOVA analysis indicated that the model terms (metal loading and sintering temperature) are significant (Prob.>F less than 0.05).

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“…The characteristics of activated carbons were optimized in order to achieve high pollutant removal efficiency in shortest time possible. The proposed solution, in contrast to those presented in other papers [ 57 , 58 , 59 ] is universal, because it enables to analyze the influence of the analyzed sorbent (here: activated carbon) and employed oxidizer as well as their properties. The previous models usually did not account for these aspects and considered only a single activated carbon, which led to their numerous limitations.…”

Section: Methodsmentioning

confidence: 99%

Modeling and Optimization of Pollutants Removal during Simultaneous Adsorption onto Activated Carbon with Advanced Oxidation in Aqueous Environment

Dąbek

Picheta-Oleś²,

Szeląg

et al. 2020

Materials

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The paper presents the results of studies on the modeling and optimization of organic pollutant removal from an aqueous solution in the course of simultaneous adsorption onto activated carbons with varied physical characteristics and oxidation using H2O2. The methodology for determining the models used for predicting the sorption and catalytic parameters in the process was presented. The analysis of the influence of the sorption and catalytic parameters of activated carbons as well as the oxidizer dose on the removal dynamics of organic dyes-phenol red and crystal violet-was carried out based on the designated empirical models. The obtained results confirm the influence of specific surface area (S) of the activated carbon and oxidizer dose on the values of the reaction rate constants related to the removal of pollutants from the solution in a simultaneous process. It was observed that the lower the specific surface area of carbon (S), the greater the influence of the oxidizer on the removal of pollutants from the solution. The proposed model, used for optimization of parameters in a simultaneous process, enables to analyze the effect of selected sorbents as well as the type and dose of the applied oxidizer on the pollutant removal efficiency. The practical application of models will enable to optimize the selection of a sorbent and oxidizer used simultaneously for a given group of pollutants and thus reduce the process costs.

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Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol

Cited by 26 publications

References 41 publications

Tea fiber waste as an adsorbent to remove phenol from wastewater

Tea fiber waste as an adsorbent to remove phenol from wastewater

Optimisation of Copper Oxide Impregnation on Carbonised Oil Palm Empty Fruit Bunch for Nitric Oxide Removal using Response Surface Methodology

Modeling and Optimization of Pollutants Removal during Simultaneous Adsorption onto Activated Carbon with Advanced Oxidation in Aqueous Environment

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