Bed Depth Service Time Model Research Articles

Adsorption performance of packed bed column for benzylformic acid removal using CaO2 nanoparticles

Abstract A packed bed column for the recovery of benzylformic acid from the dilute aqueous stream was operated using CaO2 nanoparticles adsorbent. CaO2 nanoparticles were synthesized and characterized by XRD and HR-FESEM. HR-FESEM confirmed that the average size of 32 nm for CaO2. The adsorption breakthrough curve was determined by varying the operating parameters: initial benzylformic acid concentration (9.53–13.47 mg/mL), flow rate (2.5–3.5 mL/min), and bed height (10–20 cm). The bed depth service time (BDST) model at 40%, 50%, and 90% breakthrough provided a good fit to experimental data. Five mathematical models; Thomas, Yoon–Nelson, Clark, Bohart–Adams, Wolborska model was applied to the experimental data using linear regression and the optimum parameters of the column were determined. Analysis of the regression coefficients indicated that the regressed lines provided excellent fits to the experimental data with R2 values ranging from 0.947–0.996 using Thomas model. The experimental and predicted breakthrough time (tb) value of Thomas is in close agreement than Yoon–Nelson, Clark, Bohart–Adams and Wolborska models. The Thomas has been found more appropriate for α-toluic acid removal in a packed bed column. The results are useful for the design of packed column for adsorption, which can be further extended to other systems.

Response surface methodology and optimization of arsenic continuous sorption process from contaminated water using chitosan

Arsenic presence in water implies a serious social problem in many countries. Among the different water remediation techniques, continuous sorption in columns is a useful methodology because of its effectiveness and low cost. Arsenic sorption onto the natural, non-toxic and biodegradable biopolymer chitosan has been studied. In this work, a green, sensitive and economic method was adapted to dose As(V) concentrations. Kinetic and equilibrium studies were carried out. Furthermore, a continuous sorption process was applied and improved by a Response Surface Methodology (RSM) - Central Composite Design (CCD). Column bed height and feed flow rate were selected as independent variables, while the percentage of As(V) removal was considered as the response to be optimized. With the aim of predicting the highest elimination efficiency of arsenic, a second-order polynomial regression model was used. Results showed that As(V) batch sorption appears to be completed after 5 min with a 19.63 mg g−1 of maximum sorption capacity (25 °C, pH 4.5). Equilibrium and kinetic sorption studies followed Langmuir and pseudo-first order models, respectively. Free energy (7.10 kJ mol−1) obtained with Dubinin-Radushkevich model (D–R), demonstrated that the remediation process was physical sorption. The As(V) retention by chitosan was confirmed using FT-IR and XRD spectroscopy techniques. In optimal conditions, a maximum of 76.8% was obtained for As(V) continuous elimination. Thomas and Modified Dose-Response demonstrate to be the best fitting models for continuous sorption data. A critical bed depth, was determined to be 1.5 cm, applying the Bed Depth Service Time model (BDST).

Removal of aqueous fluoroquinolones with multi-functional activated carbon (MFAC) derived from recycled long-root Eichhornia crassipes: batch and column studies.

Fluoroquinolones (FQs) occur broadly in natural media due to its extensive use, and it has systematic effects on our ecosystem and human immunity. In this study, long-root Eichhornia crassipes was reclaimed as a multi-functional activated carbon (MFAC) to remove fluoroquinolones (FQs) from contaminated water. To get insight into the adsorption mechanism, multiple measurements, including FTIR and XPS analyses, were employed to investigate the adsorption processes of ciprofloxacin and norfloxacin as well as the experiments of effect of exogenous factors on adsorption performances. The results confirmed that the adsorption of FQs by MFAC was mainly attributed to the electrostatic interaction, hydrogen bond interaction, and electronic-donor-acceptor (EDA) interaction. In addition, the kinetics and thermodynamics experiments demonstrated that the MFAC possessed great adsorption performance for FQs. According to the Langmuir model, the saturated adsorption capacities exceeded 145.0mg/g and 135.1mg/g for CIP and NOR at 303.15K, respectively. The column experiments were conducted to explore the application performance of MFAC on the advanced treatment of synthetic water at different flow rates and bed depths. The adsorption capacity of CIP on MFAC was estimated by the Thomas models and the bed-depth service time (BDST) models, reaching 127.56mg/g and 11,999.52mg/L, respectively. These results also provide a valid approach for the resource recycling of the redundant long-root Eichhornia crassipes plants. Graphical abstract.

Enhanced adsorption performance of oxidised coconut coir for removal of Cd(II) ions by multi-column arrangement in series.

Biosorption potential of oxidised coconut coir (OCC) for removal of Cd(II) was evaluated by multi-column arrangement by connecting three columns in series. Effect of flow rate at 5, 10 and 15mL/min was studied at 30mg/L initial Cd(II) concentration. The dynamic capacity of the system was found to be 321, 206 and 83mg/L for 5, 10 and 15mL/min flow rates, respectively, by applying the bed depth service time model. Biosorbent usage rates for single-column and multi-column systems were compared. Better utilisation of biosorbent was observed when the columns are connected in series at similar operating parameters. A simple acid-base regeneration procedure was found to be effective in desorbing/regenerating the cadmium bound biosorbent. Adsorption efficiency was found to decrease from 76.3% for the first cycle to 72.2% and 70.6% in the second and third cycles, respectively. Regeneration efficiencies were more than 94% up to 3 cycles. The study highlights the effectiveness of the multi-column system in biosorption against the conventional single-column system.

Fixed-bed Column Studies on Removal of As (V) by Radiation Grafted Polymer “Chitosan-g-MAETC”

The removal of As (V) has been investigated in Fixed-bed column using radiation grafted adsorbent “chitosan grafted 2-Methacryloyloxyethyltrimethyl ammonium chloride”. Removal percentage of As (V) is found to be higher (98 %) at inlet concentration of As (V) 40 mg/L, flow rate 1 ml/min and bed depth 3 cm. The bed depth service time model and Thomas model are used to analyze the column data in terms of As (V) uptake rate and column capacities. Regeneration studies suggest maximum reusability of grafted polymer up to six cycles. Based on the As (V) uptake capacity, the developed grafted chitosan has been applied for the removal As (V) ions from contaminated ground water samples. The adsorbent has been found to be a potential adsorbent for toxic As (V) ions from water (>95 % removal) and could be regenerated effectively and used repeatedly for further experiment.

An efficient calixarene-based functional material for the sorption and recovery of Cr(VI) from water

ABSTRACTThe present study elaborates synthesis of calix[4]arene-functionalised resin (GX) and its application in sorption of Cr(VI) from water. Effect of variation in pH was explored through batch study, which indicates that maximum sorption of 89% occurs at pH 4. Similarly, in dynamic mode, various parameters, i.e. change in concentration, flow rate and bed height, were optimised using Bed Depth Service Time (BDST) model. Based on the BDST model, maximum sorption capacity was found to be 85 mg g−1 at optimum conditions. The (GX) is recoverable up to 97% and also has the potential to regenerate and reuse till six cycles.

Breakthrough modeling of furfural sorption behavior in a bagasse fly ash packed bed

Adsorptive breakthrough modelling is essential for design of a sorption packed bed. In this work, breakthrough modelling of the furfural uptake in bagasse fly ash (BFA) packed bed has been performed. Effect of various parameters like bed height (Z = 15–60 cm), flow rate (Q = 0.02–0.04 L/min) and initial furfural concentration (Co = 50-200 mg/L) on the breakthrough curve of furfural sorption in a BFA packed bed have been studied. Enhanced breakthrough performance was observed for the higher value of Z, and lower values of Co and Q. For Co = 100 mg/L, packed bed operated at Q = 0.03 L/min and Z = 60 cm was found to have lowest adsorbent utilization rate of 5.61 g/L with highest breakthrough volume of 14.67 L. Bed depth service time and Thomas models well represented the experimental data points under all experimental conditions. It can be concluded that BFA can be utilized efficiently in continuous system for the removal of furfural. Overall, more than 99% of furfural was adsorbed in BFA packed bed at experimental conditions. Keywords: Bagasse fly ash, Breakthrough, Column study, Furfural removal, Sorption

Determination of adsorption operating conditions in dynamic mode on basis of batch study: Application for Dimethylphthalate elimination on activated carbon prepared from Arundo donax

This study aims to determine the operating conditions to implement the Dimethylphthalate removal using an activated carbon prepared from Arundo donax, carbonized at 358 °C during 13 min. To achieve this objective, the study is conducted in batch and dynamic mode. Several kinetic models are applied, namely pseudo-first order, pseudo-second order, intragranular, and Bangham models. The pseudo-second-order model fits the data perfectly, the estimated regression coefficients >0.999. The intragranular diffusion takes place in two stages. The two-parameter (Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich) and three-parameter models (Redlich-Peterson, Sips, and Toth) are applied to model the equilibrium isotherms. The nonlinear regression methodology based on the error functions (hybrid fractional error function, Marquardt’s percent standard deviation, average relative error, Sum of the absolute errors) is applied. The HYBRID fits properly the data showing that the Temkin model gives the best fitting (R2adj = 0.992), and the Dubinin-Radushkevich model the worst (R2adj = 0.793). The thermodynamic study shows that the adsorption occurs according to a physical process. The DMP desorption is more effective with a 5% NaOH solution. In dynamic mode, the runs are conducted in fixed bed column. The effect of the bed height, the DMP initial concentration, and the flow rate on the breakthrough curves is investigated, then these breakthrough curves are modeled using the Thomas and Bed Depth Service Time models. The regeneration of the exhausted Arundo donax activated carbon is performed in a column, after 5 cycles, the breakthrough time decreases from 65.3 to 26.8 h, however, the exhaustion time varies less rapidly.

Analysis of Breakthrough Curves of Dynamic Adsorptive Removal of Pollutants from Water

A comparative analysis is made of mathematical models of breakthrough curves C/C0 = f(t) describing the removal of pollutants from water, where C0 and C are the pollutant concentrations in water flows at the inlet and outlet of an adsorption column, respectively, and t is current time. It is shown that, within the Thomas and BDST (bed depth service time) models, the time dependence of breakthrough concentration C is described by the linear equation ln(C0/C–1) = a0–a1t, where a0 and a1 are coefficients, which have different meanings in different models. Approximation of experimental dependences by this linear theoretical dependence enables locating these coefficients and then, using them, calculating adsorption parameters, in particular, the adsorption rate constant k and dynamic adsorption capacity qm. These parameters are determined for processes described in the literature, namely, dynamic adsorption of Hg(II) on granulated activated carbon and activated carbon cloth and dynamic adsorption of nitrate ions on commercial anion-exchange resin PA408.

Adsorption studies of packed bed column for the removal of dyes using amine functionalized radiation induced grafted fiber

In this paper, the adsorption performance of packed bed column with amine functionalized radiation-induced grafted fibers (AFF) for the removal of acid blue 80 (AB 80) was investigated. Pretreated banana fibers were grafted with glycidyl methacrylate (GMA) with the assistance of electron beam irradiation and subsequently functionalized with imidazole, which was used as the precursor of anionic dye adsorption. The effect of flow rate, bed height and inlet concentration on the breakthrough curves were analyzed in terms of AFF adsorption performance. The experiment revealed that the increase in bed height and inlet concentration promoted the adsorption efficacy, whereas reduction was observed when the flow rate increased. The highest bed capacity obtained was 194.45 mg/g at adsorption condition of 5 ml/min flow rate, 100 mg/l inlet concentration and 50 mm of bed height. In order to determine the optimum operational parameters, the data were collected via the experiment fitted into Yoon and Nelson, and Thomas and Bed Depth Service Time (BDST) mathematical models. At various conditions, Thomas model closely defined the behaviors of the breakthrough curves. The maximum adsorption capacity calculated from Yoon–Nelson and Thomas models increased with the increase in flow rate and inlet concentration. However, a reduction was observed with the increase in bed height. Meanwhile, the BDST model exhibited good agreement with the experimental data as well as high correlation coefficient value r2 ~ 0.99, which indicated the validity of BSDT model for the column adsorption system with AFF. The experimental results attained had suggested that developed AFF is quite effective as a biosorbent for the removal of the dyes.

Long Term and Large-Scale Continuous Studies on Zinc(II) Sorption and Desorption on Hybrid Pectin-Guar Gum Biosorbent.

Pectin-guar gum biosorbent was tested for zinc(II) ions removal in column process. Sorption–desorption experiments were performed in laboratory and at larger scale. The breakthrough and elution curves were obtained for various conditions. The Bed Depth Service Time model was tested for utility in data estimation. Possibility of sorbent reuse and its lifetime was examined in 20 repeated sorption–desorption cycles. Finally, tests were repeated for real wastewater from galvanizing plant, giving satisfactory results. The effectiveness of Zn(II) sorption happened to be dependent on process parameters; tests have proved that it increased with increasing bed height and with decreasing flow rate or grain size. For an initial zinc concentration of 30 mg/L, even 2096 mL of zinc solution could be purified in small scale experiment (2 g of fine grain sorbent and flow rate 60 mL/h) or 5900 L in large-scale (16 kg of large grain sorbent and flow rate 45 L/h). This allowed for 40-fold or 49-fold zinc increases in concentration in one sorption–desorption cycle. The most successful results are meant that at least 20 sorption–desorption cycles could be performed on one portion of biosorbent without loss of its effectiveness, large-scale tests for real wastewater from galvanizing plant gave satisfactory results, and that the form and mechanical stability of our sorbent is suitable for column usage with flow rates applicable in industry.

Continuous dye adsorption and desorption on an invasive macrophyte (Salvinia minima).

The continuous adsorption-desorption of methylene blue (MB) on an invasive macrophyte, Salvinia minima, was investigated in fixed-bed columns. The effects of bed depth (h) (9.30, 18.70, and 28cm), inlet dye concentration (C0) (51 ± 1.20, 154 ± 2.00, and 250 ± 1.50mgL-1), and flow rate (Q) (7 and 14mLmin-1) on dye removal and breakthrough curves were assessed. Thomas, modified dose-response (MDR) and bed depth service time (BDST) models were fitted to the experimental data. Desorption and regeneration studies were also performed. The breakthrough time was affected by h, C0, and Q. The dynamic bed capacity at the breakthrough point (qb) increased with increasing h but decreased with increasing C0 and Q. Dynamic bed capacities (qe) from 318 to 322mgg-1 were achieved at h= 28cm, C0= 154 ± 2.0, or 250 ± 1.50mgL-1, independently of the Q value. High MB removals were also observed (75-78%). FTIR analysis revealed that hydroxyl and carboxyl groups could be involved in dye adsorption. MDR and BDST models were both successfully used to predict the breakthrough curves of MB adsorption onto S. minima. A high regeneration efficiency (> 87%) was obtained after three adsorption-desorption cycles. These results confirm that the use of S. minima biomass could be a very efficient and eco-friendly alternative for MB adsorption in continuous mode.

Removal of Antimony Metalloid From Synthetic Effluent Using Seaweed as a Low-Cost Natural Sorbent: Adsorption on a Fixed-Bed Column

Antimony is an environmental pollutant categorized as metalloids. The biosorption of Sb(III) ions from aqueous solutions investigated by Sargassum glaucescens brown alga seaweed in a fixed bed column. Column experiments were carried out to evaluate the effect of bed height and flow rate on the biosorption process and to obtain the experimental breakthrough curves. The highest biosorption capacity of S. glaucescens for Sb (III), was 5.89 mg/g found within a flow rate of 8 mL/min and a bed height of 15 cm. Furthermore, it was observed that by increasing the bed height the breakthrough and exhaustion times increased, while these times reduced as the flow rate rises. The column data obtained under different conditions were fitted to the Yan and Bed Depth Service Time models, which coefficient correlations obtained from Yan’s model, were found to be satisfactory. Biosorption-desorption experimental data were evaluated by one-way ANOVA and one-sample t-test methods to investigate the statistical importance of uptake capacities after three cycles for five desorbents.

Biosorption of Cu(II) from aqueous solution onto immobilized Ficus religiosa branch powder in a fixed bed column: Breakthrough curves and mathematical modeling

We investigated the adsorption potential of powdered branches from Ficus religiosa, an abundantly available plant, for the removal of Cu(II) from aqueous solution via column studies. Biomass was used as silica immobilized form and characterized using available techniques, including Fourier transformed infrared spectroscopy (FTIR) and scanning electron microscope (SEM). Breakthrough curve approach was used to explain removal capacity of biomass in a continuous flow mode, using different operating parameters like bed height (5-30 cm), inlet metal concentration (100-300mg/L) and pH (3-5) of the solution, at a fixed flow rate of 2mL/min. Biosorption of Cu(II) favored with increased service time (breakthrough and exhaust time) of the column with an increase in pH of inlet solution. Maximum biosorption capacity (17.5mg/g) for Cu(II) was achieved at 5 cm bed height, pH 5 and 300 mg/L influent Cu(II) concentration. Findings suggested that Ficus religiosa branch powder takes less service time and thus triggers fast removal of metal ions. Bed depth service time (BDST), Thomas and Yoon-Nelson models were effectively applied to the breakthrough data. The study indicated that the immobilized powdered branches could be used for the effective removal of Cu(II) ions in a continuous flow mode.

PERFORMANCE EVALUATION OF MULTIBED ADSORBENT ON REMOVAL OF HEXAVALENT CHROMIUM THROUGH VARIOUS KINETIC MODELS

In this study, an idea of using multiple layers of adsorbents in adsorption column is proposed for treatment of synthetic wastewater for removal of Cr(VI) ions. In the present study, an effort has been made to study and compare the performance of fixed bed column with single bed adsorbent (RH only) and multi bed adsorbent of Rice Husk (RH), Saw Dust (SD) and Coir Dust (CD) in removal of Cr(VI) from synthetic wastewater and arrive at the parameters of the adsorption column that are useful for process design. From the characterization studies, it has been observed that carbon, aluminium and silica were the major components of the three natural adsorbents studied. It was found that, for better heavy metal removal, natural adsorbents with a percentage of fineness of around 54% could be used in adsorption studies. From the breakthrough curves of single bed and multi bed adsorption columns, it was evident that the multi bed adsorption column performed better. The time taken to achieve the breakthrough point and the exhaustion point in multi bed column is 2.5 times and 1.9 times greater than the time taken by single bed adsorption studies respectively. It was observed that in multi bed adsorption column, at greater bed depths, the significant increase in metal uptake capacity was due to the increase in contact time. Kinetic models viz. Thomas model, Yoon-Nelson model and Bed Depth Service Time model (BDST) were used to predict the performance of the column and sum of squares (SS) error analysis was carried out to test the accuracy of model equations. Higher R2 value and smaller SS value obtained from Thomas model proves that it is suitable to explain the adsorption of Cr(VI) in single and multi bed adsorption column of natural adsorbents. Experimental data fitted well with BDST model where R2 = 0.997. From the cost analysis, multi bed adsorption column was proven to be economical and confirmed that the locally and abundantly available agricultural wastes viz. RH, SD and CD could be used as an alternate to commercially available activated carbon for the removal of Cr(VI) from synthetic wastewater.

Defluoridation in fixed bed column filled with Zr(IV)-loaded garlic peel

Zirconium loaded garlic peel (GP) is an efficient and cheap material for defluoridation of groundwater, while its column run is seldom studied. The purpose of this study was to evaluate the performance of Zr(IV)-loaded garlic peel in the removal of fluoride from a continuous fixed bed column in order to provide guidance for the design and operation of the column reactor. The effects of Zr(IV) ion loading concentration, initial pH, initial fluoride concentration, flow rate and bed depth on the fluorine adsorption performance were investigated. The Thomas model and the bed depth service time model were found to agree well with the experimental data. The practical groundwater samples containing excessive fluoride collected from the Banzhuang Village, Dongguang County, Cangzhou City, Hebei Province, were used to examine the effectiveness in the fixed bed column, and around 1.2 liter clean groundwater was produced to reach the national standard of China (1.0 mg/L) through a 0.5 gram Zr(IV)-GP column, meaning that 2.4 m3 cleaning water can be obtained based on 1 kg Zr(IV)-GP adsorbent. Elution of adsorbed fluoride can regenerate the Zr(IV)-GP column by using 1 M NaOH, and at least 3 cycles were done to find that a little worsening of adsorption capability. In a word, the cleaning of fluoride-bearing groundwater with a Zr(IV)-GP fixed bed column is expected to be applicable on large scale. The adsorbent is inexpensive, and the cost of 1 kg of adsorbent does not exceed $0.50.

Uranium Dynamic Adsorption Breakthrough Curve onto Rice Straw Based Activated Carbon Using Bed Depth Service Time Model

Uranium adsorption was evaluated on rice straw-based carbon (RSK carbon) that had been KOH-oxidized and impregnated with ionic-liquid. Experiments were performed in fixed bed mode using 100 mg/L uranium solution at 3 different bed depths (12, 6, and 3 cm). Uranium adsorption decreased with increasing bed depth. Agreement between column and batch values was judged to be acceptable in light of inherent differences in continuous versus batch operations. Batch mode reaches equilibrium without continuous solution feeding. However, the solution in fixed bed mode was fed constantly without equilibrium. The bed depth service time (BDST) model was used to investigate uranium adsorption. BDST plots were linear, with a high correlation coefficient (R > 0.97), representing its validity when used for fixed bed of RSK carbon. The failure of the 50% breakthrough BDST curve to pass through the origin point may be due to the complex mechanism of uranium removal by RSK carbon. The calculated BDST slopes were in good agreement with the experimental values, while the values of their intercept slightly varied within certain limit of experimental error. These results support the validity of BDST model for designing a fixed bed column for uranium adsorption onto RSK carbon.

Fixed-bed adsorption of Reactive Orange 84 dye onto activated carbon prepared from empty cotton flower agro-waste

Abstract The adsorption potential of empty cotton flower agro-residue based activated carbon (CFAC) to adsorb Reactive Orange 84 (RO84) dye from aqueous solution was studied using packed-bed adsorption column. The breakthrough curve characteristics were highly influenced by process variables like influent flowrate, inlet RO84 dye concentration and CFAC bed height. The findings indicated that higher value of dye concentration and bed height were favorable but high influent flowrates was unfavorable for adsorptive removal of RO84 dye. The maximum adsorption capacity of column was found to be about 720 mg of RO84 per 4.67 g of CFAC adsorbent for initial concentration, flowrate and bed height of 200 mg L−1, 15 mL min−1 and 5 cm, respectively. Thomas, Yoon–Nelson and Bed Depth Service Time (BDST) models were applied to calculate kinetic parameters of the laboratory fixed-bed adsorption column. Based on error analyses, Thomas model and BDST model fitted well than Yoon–Nelson model. The study concluded that CFAC is an effective adsorbent for adsorption of RO84 dye using fixed-bed adsorption column.

Continuous removal of Cr(VI) and Orange II over a novel Fe0-NaA zeolite membrane catalyst

A novel Fe0-NaA zeolite membrane catalyst was prepared for continuous removal of Cr(VI) and Orange II (OII) in a fixed bed reactor. Firstly, the NaA zeolite membrane on the paper-like sintered stainless steel fibers support was prepared by wet lay-up papermaking technique and secondary growth method. Then, Fe0-NaA zeolite membrane catalyst was synthesized by traditional liquid-phase technique and characterized by using scanning electron microscopy (SEM) and X-ray diffraction (XRD). Finally, catalytic activity of Fe0-NaA zeolite membrane catalysts was studied by investigating the breakthrough time of Cr(VI) and conversion of OII as well as the iron leaching concentration in the effluent based on the reduction reaction and catalytic wet peroxide oxidation (CWPO) processes in a fixed bed reactor. The results showed that nanoscale Fe0 particles were uniformly loaded on the surface of the NaA zeolite membrane. An acidic environment was more favorable to the reduction of Cr(VI) and the breakthrough time reached 300 min for 4.7% breakthrough at pH 2. Both Yoon-Nelson and Bed Depth Service Time (BDST) models were found to agree well with the experimental results of Cr(VI) removal. The catalyst for CWPO of OII achieved the highest activity (OII conversion > 97%, COD removal ratio about 86.0%, respectively) after continuously ran for 240 min. Meanwhile, low iron leaching concentration (<3.5 mg/L) was detected in the treated effluent.

Biosorptive removal of Zn(II) ions by Pongamia oil cake (Pongamia pinnata) in batch and fixed-bed column studies using response surface methodology and artificial neural network

Design of experiment and artificial neural networks (ANN) have been effectively employed to predict the rate of uptake of Zn(II) ions onto defatted pongamia oil cake. Four independent variables such as, pH (2.0–7.0), initial concentration of Zn(II) ions (50–500 mg/L), temperature (30ºC-50 °C), and dosage of biosorbent (1.0–5.0 g/L) were used for the batch mode while the three independent variables viz. flowrate, initial concentration of Zn(II) ions and bed height were employed for the continuous mode. Second-order polynomial equations were then derived to predict the Zn(II) ion uptake rate. The optimum conditions for batch studies was found to be pH: 4.45, metal ion concentration: 462.48 mg/L, dosage: 2.88 g/L, temperature: 303 K and on the other hand the column studies flow rate: 5.59 mL/min, metal ion concentration: 499.3 mg/L and bed height: 14.82 cm. Under these optimal condition, the adsorption capacity was 80.66 mg/g and 66.29 mg/g for batch and column studies, respectively. The same data was fed to train a feed-forward multilayered perceptron, using MATLAB to develop the ANN based model. The predictive capabilities of the two methodologies were compared, by means of the absolute average deviation (AAD) (4.57%), model predictive error (MPE) (4.15%), root mean square error (RMSE) (3.19), standard error of prediction (SEP) (4.23) and correlation coefficient (R) (0.99) for ANN and for RSM AAD (16.27%), MPE (21,25%), RMSE (13.15%), SEP and R (0.96) by validation data. The findings suggested that compared to the prediction ability of RSM model, the properly trained ANN model has better prediction ability. In batch studies, equilibrium data was used to determine the isotherm constants and first and second order rate constants. In column, bed depth service time (BDST) and Thomas model was used to fit the obtained column data.