Fixed bed Column Adsorption of Cu (II) onto Maize Tassel-PVA Beads

Sekhula, Mahlatse M.; Okonkwo, Jonathan O.; Zvinowanda, Caliphs; Agyei, Nana N.; Chaudhary, Abdul J.

doi:10.4172/2157-7048.1000131

Cited by 41 publications

(32 citation statements)

References 20 publications

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“…This might be because the breakthrough curves for each bed depth did not reach the C/C 0 of 1, indicating mass transfer limitation of the system. Similar observation was reported by Sekhula et al [30], who found high r 2 values of the Thomas model (r 2 = 0.97-0.98), but some of the breakthrough curves did not reach the C/C 0 of 1. Also, Salmani et al [31] observed high r 2 values of the Thomas model (r 2 = 0.98), despite the breakthrough curves did not reach the C/C 0 of 1.…”

Section: Effect Of Bed Depthsupporting

confidence: 87%

Analysis and modeling of column operations on reactive dye removal onto alkaline-treated biomass fly ash

Pengthamkeerati

Satapanajaru

2015

Desalination and Water Treatment

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A B S T R A C TThe adsorption characteristics of Reactive Black 5 (RB5) dye on alkaline-treated biomass fly ash (TFA) were investigated in aqueous solutions in a fixed-bed column. The breakthrough curves increased with decreasing initial dye concentration and the flow rate, and with increasing bed depth. In this column study, the optimum flow rate and bed depth were 5 ml min −1 and 10 cm, respectively. The Thomas model provided a good prediction of the breakthrough curve of RB5 removal by the TFA. The maximum adsorption capacity from the column study was in accordance with the equilibrium capacity in a batch experiment. The bed-depth service time model was used to describe the effect of bed depth on the breakthrough curves, and it revealed a good fit with the experimental data. These results suggest that the fixed-bed TFA is suitable for treating dye wastewater.

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Section: Effect Of Bed Depthsupporting

confidence: 87%

Analysis and modeling of column operations on reactive dye removal onto alkaline-treated biomass fly ash

Pengthamkeerati

Satapanajaru

2015

Desalination and Water Treatment

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“…s (the half life of adsorbate) decreases with an increase in flow rate and decrease in bed height. The equivalent values were obtained for the adsorption of Cu (II) onto Maize Tassel-PVA Beads in Fixed bed Column [30] and adsorption of Cr (VI) by waste acorn of Quercus ithaburensis in fixed beds [31]. A higher R 2 value explains fitness of the model for the overall kinetics of the column.…”

Section: Yoon-nelson Modelmentioning

confidence: 99%

Bench-scale packed bed sorption of Cibacron blue F3GA using lucrative algal biomass

Shanmugam

Alagappan

Shanmugam

2016

Alexandria Engineering Journal

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Adsorption of Cibacron blue F3GA (Reactive Blue 2) onto Spirulina platensis has been investigated in both batch mode and packed bed up-flow column. The effects of solution pH, initial dye concentration, particle size and temperature were studied in batch mode and the optimal conditions were used in continuous mode. The algal biomass revealed maximum dye uptake in acidic pH at room temperature. The breakthrough curves were obtained for various flow rates (4, 8 and 12 ml/min) and bed heights (5, 7.5 and 10 cm). The breakthrough time increased with increasing bed height and decreasing flow rate. The highest adsorption capacity (241.94 mg/g) on a 250 mg/L Reactive Blue 2 solution was accomplished with a flow rate of 12 ml/min and a bed depth of 10 cm. Different models, namely bed depth service time model, Thomas model, Adams-Bohart model, Wolborska model, Yoon-Nelson model, Yan et al. kinetic model and modified dose response model were employed to illustrate the performance of this packed-sorption process. The Thomas model and Yoon-Nelson model validated the sorption bed in a better manner than other models. Fourier Transform Infrared spectra and scanning electron microscopy images verify the sorption capacity of adsorbents. Ó 2016 Faculty of Engineering, Alexandria University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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“…Batch operations are usually performed to evaluate the ability of a material to adsorb as well as the adsorption capacity of the material (Sekhula et al 2012). The data obtained from batch operations are, in most cases, limited to a laboratory scale and thus do not provide data which can be accurately applied in industrial and household systems.…”

Section: Introductionmentioning

confidence: 99%

Removal of arsenic(III) and arsenic(V) on chemically modified low-cost adsorbent: batch and column operations

et al. 2013

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Batch and column operations were performed utilizing thioglycolated sugarcane carbon (TSCC), a lowcost adsorbent, to remove As(III) and As(V) from aqueous systems. Under optimized batch conditions, the TSCC could remove up to 92.7 and 91.4 % for As(III) and As(V), respectively. An artificial neural network model showed the validity of TSCC as a preferable adsorbent for arsenic [As(III) and As(V)] removal in batch studies. In column operations, removal efficiency increases with increase in influent arsenic concentration and adsorbent dose and decreases with increase in flow rate. At an adsorbent dose of 6.0 g, flow rate 3.0 mL min -1 , and initial arsenic concentration 1,500 lg L -1 , the arsenic uptake capacity of TSCC for As(III) and As(V) was found to be 85.01 and 83.82 lg g -1 , respectively. The Thomas model was used to analyze the column experimental data. Results from the column operations indicated that the adsorption behavior of arsenic [As(III) and As(V)] fits exceptionally well with the Thomas model with high correlation coefficient and very low standard error. Examinations of scanning electron microscopy and FTIR spectroscopy reveal that high arsenic adsorption favors surface complexation on the adsorbent surface.

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Fixed bed Column Adsorption of Cu (II) onto Maize Tassel-PVA Beads

Cited by 41 publications

References 20 publications

Analysis and modeling of column operations on reactive dye removal onto alkaline-treated biomass fly ash

Analysis and modeling of column operations on reactive dye removal onto alkaline-treated biomass fly ash

Bench-scale packed bed sorption of Cibacron blue F3GA using lucrative algal biomass

Removal of arsenic(III) and arsenic(V) on chemically modified low-cost adsorbent: batch and column operations

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