Adsorption studies of As(III) from wastewater with a novel adsorbent in a three-phase fluidized bed by using response surface method

Dora, D.T.K.; Mohanty, Y. K.; Roy, Gour Gopal; Sarangi, B.

doi:10.1016/j.jece.2013.04.011

Cited by 24 publications

(7 citation statements)

References 34 publications

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“…The CCD comprises either the full factorial or fractional factorial design at two levels (2 n ), centre points (cp), which corresponds to the middle level of the factors and axial points (2n), which depends on the explicit properties anticipated for the design and the number of variables associated (Myers and Montgomery 2002). The five significant parameters affecting arsenic adsorption, namely the initial arsenic concentration ( x 1 ), gas (air) flow rate x 2 , liquid (arsenic solution) flow rate (x 3 ), static bed height (x 4 ) and biosorbent average particle size ( x 5 ) were selected as independent variables (Dora et al 2013) and the percentage arsenic removal (Y) was considered as the dependent variable (response). This methodology requires the transformation of the actual process variables ( X i ) into coded values ( x i ) using the following Eq.…”

Section: Response Surface Methodologymentioning

confidence: 99%

“…The presence of different functional groups in carbon-based materials or their modified activated surface enhances the adsorption capacity for specific contaminants. Several bio-based adsorbents such as stem of acacia nilotica (Baig et al 2010) bagasse fly ash-iron coated and sponge iron char (Yadav et al 2014), anaerobic sludge biomass (Chowdhury and Mulligan 2011), coconut husk carbon (Manju et al 1998), Fe(III)-activated biomass of staphylococcus xylosus (Aryal et al 2010), activated red mud (Soner Altundogan et al 2002), sorghum biomass (Haque et al 2007), chitosan-coated biosorbent (Boddu et al 2008), iron oxide-coated biomass (Pokhrel and Viraraghavan 2008), fungal biomass (Say et al 2003), biochar by-products from fast wood/bark pyrolysis ) shelled moringaoleifera seeds (Kumari et al 2006), ralstoniaeutropha MTCC 2487 with activated carbon (Mondal et al 2008), cashew nut shale (Dora et al 2013), modified sludge biomass (Ramteke and Gogate 2016), agricultural residue rice polish (Ranjan et al 2009a, b), Maugeotia genuflexa biomass (Sari et al 2011), sugarcane carbon (Roy et al 2014), waste rice husk (Amin et al 2006) have been investigated previously by various researchers for arsenic biosorption. However, most such sorbents are edible or can be used as a fodder for cattle.…”

Section: Introductionmentioning

confidence: 99%

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Application of an agro-industrial waste for the removal of As (III) in a counter-current multiphase fluidized bed

Aniya

2018

Int. J. Environ. Sci. Technol.

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Arsenic pollution in groundwater has been identified as a major hazard in developing countries. In this purview, Karanja or Pongamia pinnata seed cake, a biodiesel residue has been proposed to being utilized to curb the arsenic menace using an agro-industrial waste. The study investigates the biosorption of As (III) onto thermally activated de-oiled karanja seed cake (TAKB) with a surface area of 19.8 m 2 ⁄g in a counter-current multiphase fluidized bed column. Experiments were designed with the aid of a full factorial central composite design to study the effect of five different process variables on the percentage adsorption of As (III). The maximum uptake capacity of the biosorbent was obtained to be 0.226 mg/g which was comparable to other reported biosorbents. Multiple regression analysis was used to derive a quadratic polynomial that developed a correlation between the independent process parameters and the percentage removal of As (III) together the analysis of variance . The optimum parameters for maximum percentage removal of As (III) were determined to be an initial As (III) concentration of 0.378 mg/L, gas and liquid flow rates of 0.224 and 0.074 L/min, respectively, static bed height of 0.069 m and the average particle size of the biosorbent as 1.73 mm. Isotherm studies based on Langmuir and Freundlich models were also conducted in order to estimate the maximum sorption capacity of TAKB. A confirmatory test with groundwater at optimum conditions for real-time application was performed, and 93.17% As (III) removal was attained.

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Section: Response Surface Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of an agro-industrial waste for the removal of As (III) in a counter-current multiphase fluidized bed

Aniya

2018

Int. J. Environ. Sci. Technol.

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“…where t (min) is the adsorption time; q t (mg g -1 ) the amount of adsorbate at time t; q e (mg g -1 ) the amount of adsorbate at equilibrium; k 2 (g mg -1 min -1 ) the equilibrium rate constant of pseudo-second-order adsorption. Four types of the pseudo-second-order models were defined as [17,18]:…”

Section: Adsorption Kinetics Studymentioning

confidence: 99%

Removal of zinc(II) ion by graphene oxide (GO) and functionalized graphene oxide–glycine (GO–G) as adsorbents from aqueous solution: kinetics studies

Najafi

2015

Int Nano Lett

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The main purpose of this study is to explain the absorption of zinc from aqueous solution by grapheme oxide and functionalized grapheme oxide with glycine as the adsorbent surface. For confirmed functionalized graphene oxide, the glycine amino group was added to the surface of graphene oxide. The effects of the initial concentration of Zn(II) ions and contact time were studied. Results showed that with increasing initial concentration of Zn(II) ions, the adsorption capacity increased. The adsorption capacity did not show a large change after 50 min; therefore, for the study of kinetic parameters, the optimal time of 50 min was selected. The chemical structure of graphene oxide was confirmed by using FT-IR analysis. The adsorption process of Zn(II) ions graphene oxide and functionalized graphene oxide-glycine surfaces was fixed at 298 K and pH 6. The pseudo-first-order and the pseudo-second-order (types I, II, III and IV) kinetic models were tested for the adsorption process and the results showed that the kinetic parameters best fit type (I) of the pseudo-second-order model. A high R 2 was used to be the best match.

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“…In literature, RSM based on central composite design (CCD) has been used in different applications of engineering including heavy-metal removal, dye removal, biofuel production, etc. (Auta and Hameed, 2011; Betiku and Taiwo, 2015; Dora et al., 2013; Skorupskaite et al., 2015). However, this is the first study on the optimization of methyl orange (MO) adsorption on SBB.…”

Section: Introductionmentioning

confidence: 99%

Application of response surface methodology for optimization of methyl orange adsorption by Fe-grafting sugar beet bagasse

Ghorbani

Kamari

2016

Adsorption Science & Technology

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The adsorptive removal of methyl orange dye using a sugar beet bagasse (SBB) as agro-industrial by-product has been investigated. The adsorption potential of SBB was improved by grafting with FeCl 3 Á6H 2 O. The dependency of removal efficiency (R) and adsorption capacity (q e ) on the level and magnitude of variables including initial pH, methyl orange concentrations, and sorbent dosage was investigated and optimized by central composite design under response surface methodology (RSM). Besides, the effect of temperature on adsorption process was evaluated in terms of thermodynamic study. The good agreement found between observed and predicted values supports and confirms the suitability of the applied model to predict adsorption state. The applied models revealed that methyl orange removal in aqueous solution was affected by all the three factors studied. By consideration of seven starting points in the response surface solutions, the best local maximum was found to be at initial solution pH 2.51, sorbent dosage of 0.37 g.L À1 , initial dye concentration of 100 mg.L À1 , removal efficiency of 51.8%, adsorption capacity of 221.5 mg.g À1 , and desirability of 0.692. A pseudo second-order model more accurately represented the adsorption process. Moreover, Freundlich isotherm model was superior to the Langmuir isotherm model.

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Adsorption studies of As(III) from wastewater with a novel adsorbent in a three-phase fluidized bed by using response surface method

Cited by 24 publications

References 34 publications

Application of an agro-industrial waste for the removal of As (III) in a counter-current multiphase fluidized bed

Application of an agro-industrial waste for the removal of As (III) in a counter-current multiphase fluidized bed

Removal of zinc(II) ion by graphene oxide (GO) and functionalized graphene oxide–glycine (GO–G) as adsorbents from aqueous solution: kinetics studies

Application of response surface methodology for optimization of methyl orange adsorption by Fe-grafting sugar beet bagasse

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