Adsorption behaviour of Fe(II) and Cr(VI) on activated carbon: Surface chemistry, isotherm, kinetic and thermodynamic studies

Maneechakr, Panya; Karnjanakom, Surachai

doi:10.1016/j.jct.2016.11.021

Cited by 119 publications

(34 citation statements)

References 27 publications

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“…3b). The same results were observed in the works of Cheng et al (2016) and Maneechakr and Karnjanakom (2017). To further understand the mechanisms on how the Cr 6+ ions get adsorbed on the surface of the MFHAC, FTIR studies were employed on the optimized MFHAC, before and after Cr 6+ adsorption.…”

Section: Crsupporting

confidence: 72%

Optimization and Response Surface Modelling of Activated Carbon Production from Mahogany Fruit Husk for Removal of Chromium (VI) from Aqueous Solution

Magoling

Macalalad

2017

BioResources

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The use of activated carbon (AC) from lignocellulosic wastes has gained a lot of research interest because of its great economic and environmental value. In this work, AC was prepared from mahogany fruit husk (MFH) via chemical activation with phosphoric acid and heat treatment. The relationships among the activation parameters H3PO4%, heating temperature, and holding time, and their effect on chromium (VI) removal, were investigated using the response surface method (RSM), following a central composite design (CCD). The optimized activation conditions resulted in a 92.3% Cr 6+ removal efficiency for a 50 mg/L Cr 6+ aqueous solution. The surface properties of the optimized MFHAC were investigated using scanning electron microscopy (SEM), energydispersive X-ray spectroscopy (EDS), Fourier-transform infrared (FTIR) spectroscopy, and nitrogen adsorption/desorption studies. The MFHAC prepared under the optimized conditions had a high surface area (SBET) of 1130 m 2 /g, with a well-developed porous structure. The equilibrium data of Cr 6+ adsorption onto the MFHAC was best fit by the Langmuir isotherm model, while the adsorption kinetic data followed the pseudo-second order kinetic model. Hence, MFHAC proved to be an efficient technology for removing Cr 6+ from simulated wastewater.

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Section: Crsupporting

confidence: 72%

Optimization and Response Surface Modelling of Activated Carbon Production from Mahogany Fruit Husk for Removal of Chromium (VI) from Aqueous Solution

Magoling

Macalalad

2017

BioResources

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“…Based on the R 2 values obtained from various isotherms studied in this work, the best fitted adsorption isotherms were to be in the order of prediction precision: Langmuir > Temkin > Freundlich > D‐R isotherms and their corresponding R 2 values are 0.99, 0.92, 0.91, and 0.81, respectively. Iron (II) adsorption capacity of porous CS, 51.81 mg/g, obtained in this study is really high when compared to the other activated carbon studied for these applications …”

Section: Resultsmentioning

confidence: 62%

“…The effect of initial iron (II) concentrations on adsorption capacity of porous CS in the range of 25 to 100 mg/L of iron (II) was investigated at temperature: 30°C, pH: 3.5, and adsorbent dose: 1.1 g/L. The net adsorption capacity (mg iron (II)/g porous CS) was higher at higher initial concentration of iron (II) . The initial iron (II) concentration provides the necessary driving force to overcome the resistance to the mass transfer of adsorbate from the bulk solution to the surface of the adsorbent.…”

Section: Resultsmentioning

confidence: 99%

Chitosan as a biosorbent for adsorption of iron (II) from fracking wastewater

Kaveeshwar

Sanders

Kumar³

et al. 2017

Polymers for Advanced Techs

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In this work, porous chitosan (CS) was investigated as a biosorbent for the removal of iron (II) from the synthetic fracking wastewater. The underlying problem with the production water from fracking industries is that it contains iron (II) up to 55 mg/L, which needs to be eliminated. Porous CS had a specific surface area of 1.05 m 2 /g with the average pore diameter of 319 A, as determined by using Brunauer-Emmett-Teller surface area analysis. The kinetics, isotherms, and thermodynamic analysis confirm that the porous CS can be a potential candidate for iron (II) removal.Both the pseudo-first-order model and pseudo-second-order model have good fit on iron (II) adsorption with the porous CS. Kinetic studies revealed that the CS-iron (II) adsorption system was controlled by intraparticle diffusion. The monolayer adsorption capacity of the porous CS from Langmuir model was found to be 51.81 mg/g. The experimental data were fitted against common adsorption isotherms and yielded excellent fits in the following order:Langmuir > Temkin > Freundlich > Dubinin-Radushkevich isotherms. Thermodynamic studies revealed that the adsorption of iron (II) onto porous CS was feasible and spontaneous. The adsorption process is endothermic, and the entropy is the driving force.

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“…It can be seen from Fig. 5c that the percent removal of Fe(II) and Cu(II) increased with the increase in temperature, indicating that their adsorption onto adsorbents is endothermic [46,47]. For Ni(II) however, the percent removal decreased, indicating exothermic adsorption of Ni(II) [37].…”

Section: Effect Of Temperaturementioning

confidence: 88%

Heavy metal removal from industrial effluent using bio-sorbent blends

Sreedhar

Reddy

2019

SN Appl. Sci.

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There is extensive literature on the use of adsorbents derived from waste to treat industrial effluents containing heavy metal ions. However, there is limited information on the use of adsorbent blends. This is applicable for treating effluents which contain a number of heavy metals, so any one single adsorbent may not be suitable for achieving high percent removal of all ions. The present work employs adsorbent blends to treat an electrochemical effluent in batch mode. This work aims to provide valuable insights on the interaction of heavy metals with the adsorbents in blends. Effluent from an electrochemical industry was treated with blends of calcium bentonite, fly ash and wheat bran in different compositions to remove heavy metal ions (Fe, Ni, Cu, As, Zn, Cd) from an aqueous effluent solution. The optimal set of conditions identified were pH, 5-7; contact time, 60-90 min; agitation speed of 200 rpm; adsorbent dosage of 1 g/50 mL; and particle size of 150-300 μ. Metal ions arsenic, zinc and cadmium were completely removed. The percentage removal of (Fe, Ni, Cu) metal ions was in the order Fe(II)(96.73%) > Ni(II)(74.03%) > Cu(II)(70.70%) at optimum conditions in a short equilibrium time of 90 min. Batch experiments were conducted to determine the factors such as adsorbent composition, temperature, pH, agitation speed, dosage, contact time and particle size affecting adsorption, and all these parameters were found to strongly influence the adsorption. Experimental data were analyzed for Langmuir and Freundlich isotherms. Langmuir isotherm shows the maximum adsorption capacities were in order Fe(II)146.1 mg/g > Ni(II) 115.9 mg/g > Cu(II) 74.5 mg/g. Freundlich parameter 'n' was found to be greater than 1 which showed that the adsorption is feasible for all three metals. Freundlich isotherm fit the data comparatively better, but neither of the two isotherms satisfactorily explained the adsorption, which indicated heterogeneity of adsorption. Kinetic studies were performed and analyzed for pseudo-first-and pseudo-second-order kinetics and the Weber-Morris intraparticle diffusion model. The adsorption data fit accurately to pseudo-second-order kinetic model with coefficient of correlation values greater than 0.99 for all three heavy metals. The kinetic constants were found to be 8.49 * 10 −3 , 5.82 * 10 −3 , 5.27 * 10 −3 g mg min for Fe(II), Ni(II) and Cu(II), respectively. From the intraparticle diffusion model, it was inferred that there were different rate-limiting steps during the duration of the adsorption process, including intraparticle diffusion and boundary layer diffusion.

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Adsorption behaviour of Fe(II) and Cr(VI) on activated carbon: Surface chemistry, isotherm, kinetic and thermodynamic studies

Cited by 119 publications

References 27 publications

Optimization and Response Surface Modelling of Activated Carbon Production from Mahogany Fruit Husk for Removal of Chromium (VI) from Aqueous Solution

Optimization and Response Surface Modelling of Activated Carbon Production from Mahogany Fruit Husk for Removal of Chromium (VI) from Aqueous Solution

Chitosan as a biosorbent for adsorption of iron (II) from fracking wastewater

Heavy metal removal from industrial effluent using bio-sorbent blends

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