Indian Journal of Chemical Technology Vol. 18, May 2011, pp. 188-196 Non-conventional low-cost adsorbent from Euphorbia antiquorum L for the removal of Direct Blue 53 from its aqueous solution P Sivakumara* & P N Palanisamyb a Department of Chemistry, Arignar Anna Government Arts College, Namakkal 637 002, India b Department of Chemistry, Kongu Engineering College, Erode 638 052, India Received 4 January 2010, accepted 21 February 2011 This paper reports the adsorption potential of activated carbon prepared from Euphorbia antiquorum L wood by H3PO4 impregnation in batch mode experiments. The effects of various process controlling parameters such as solution pH, adsorbate concentration and temperature are analyzed. Maximum of 58.40 mg/g of dye adsorbed at a pH of 2.0 and the adsorption decreases with increase in pH. Various kinetic and isotherm models are employed to analyze the feasibility and mechanism of adsorption. The prepared adsorbent removed 145.45 mg/g of dye at an initial dye concentration of 100 mg/L and the kinetics obeys pseudo second order. Freundlich isotherm fits exceptionally well with good r2 value. Thermodynamic parameters like ∆G°, ∆H° and ∆S° are evaluated. The positive enthalpy proves that the adsorption process is endothermic in nature. Experiments are also performed for recovery of dye loaded carbon through regeneration as a function of pH, the maximum desorption occurs at a pH of 10 is only 19.29%. The prepared sorbent can be conveniently employed for the colour removal as its adsorptive capacity is comparable with commercial adsorbents. Keywords: Euphorbia antiquorum L, Activated carbon, Adsorption, Surface area, Desorption More than 10,000 dyes have been widely used in textile, paper, rubber, plastics, leather, cosmetic, pharmaceutical, and food industries, which generated huge volume of wastewater every year1. Some of the ill effects of dye bearing wastewater are aesthetic pollution of environment and also carcinogenicity due to their degradation products. Several techniques like electrochemical coagulation, reverse osmosis, nano filtration and adsorption using activated materials are used for the removal of dye from wastewater2. Adsorption using activated carbon is widely favoured because of their high adsorption capacities and amphoteric properties which enables its adsorption of both anionic and cationic dyes3,4. Numerous adsorbents have been prepared from agricultural by-products and waste plant materials like canes from easy growing wood species5,6, agro wastes7, eucalyptus bark8, babool wood9 and bamboo10. Exploration of good low cost adsorbent may contribute to the sustainability of the environment and also offer promising benefits for the commercial purpose. The objective of the present work is to evaluate the sorption of Direct Blue 53 from its aqueous solution ______________________ *Corresponding author (E-mail: shivagobi@yahoo.com) onto Euphorbia antiquorum L wood activated carbon prepared by H3PO4 impregnation method. The wood cannot be used for any purpose, even for combustion the wood burns with high smoke, this has tempted the authors to use this wood for the preparation of an activated carbon. To effectively apply this class of sorbents, there is a need to understand the kinetics and mechanism of interaction between the dye molecules and the sorbent particle. Materials and Methods Chemical activation of the precursor Euphorbia antiquorum L wood was used as raw material for the preparation of activated carbon. About the precursor, it is widespread throughout peninsular India, it can be found growing up to an altitude of 800 m, the vernacular name of the plant is “Triangular Spurge”. One of the largest armed tree in Euphorbias with an average height of 5-7 m, it has been known to attain gigantic proportions if left undisturbed. The odour of its latex is pungent and lingering, it is easily propagated from seed or vegetatively. The wood was cut into pieces of 2 to 3 cm size, dried in sunlight for 10 days. The dried material soaked in a boiling solution of 10% H3PO4 for 1 h and SIVAKUMAR & PALANISAMY: NON-CONVENTIONAL ADSORBENT FOR REMOVAL OF DIRECT BLUE 53 kept at room temperature for 24 h. After 24 h the wood material separated, air dried and carbonised in muffle furnace at 400°C. The carbonised material was powdered and activated in a muffle furnace at 800°C for a period of 10 min. Then the material was washed with plenty of water to remove residual acid until the washings becomes neutral. The washed carbon was dried, sieved to a particle size of 300 to 800 µm (50 to 20 ASTM standard mesh) and stored in a tight lid container for further adsorption studies. Physicochemical characters of the activated carbon was studied as per the standard testing method11,12. The BET surface area of the activated carbon was measured at 77 K using N2 gas sorption analyzer (Nova 1000, Quanta Chrome Corporation, USA). Inorder to determine the pore characteristics, the N2 adsorption-desorption isotherms was studied using ASAP 2020 Gas sorption analyzer. Some important physicochemical characteristics are given in Table 1. Adsorbate All the chemicals used are reagent grade. A Direct dye (Direct Blue 53) having molecular formula (Mol wt.: 960.82) with CI No.: 23860, λmax: 611 nm (E. Merck, India) was chosen as the adsorbate. The structure of the selected dye is shown in Fig. 1. The dye content of the Direct Blue 53 taken for the analysis is 85% and the same has been taken in to consideration for the preparation of stock solution. A stock solution containing 1000 mg of the dye per litre was prepared by dissolving the dye in double distilled water and was used to prepare the adsorbate solutions by appropriate dilution as required. Table 1 Physico-chemical characteristics of EAAC S.No. 1 2 3 4 5 6 7 8 9 10 Properties Values pH Moisture content, % Bulk density, g/mL Porosity, % pHZPC Surface area (BET), m2/g Fixed carbon, % Total pore volume (cm3/g) Mesoo-pore volume (cm3/g) Micro-pore volume (cm3/g) 6.90 7.56 0.48 55.32 6.82 918 57.94 0.4141 0.1778 0.2363 Fig. 1 Structure of Direct Blue 53 189 Adsorption studies The adsorption experiments were carried out by shaking 100 mg of adsorbent with 200 mL of dye solution of 25 to 100 mg/L concentration at 200 rpm in a temperature controlled orbital shaker. All the kinetic and isotherm studies (except effect of pH) were carried out at a pH of 8.22 (the natural pH of dye in distilled water). Adsorption isotherm data were obtained at 30, 40 and 50°C by shaking 100 mg of the adsorbent with 200 mL of dye solution of various concentrations by fixing the agitation time as 120 min. The mixture was withdrawn at specified interval then centrifuged using electrical centrifuge (universal make) at 5000 rpm for 10 min and unadsorbed supernatant liquid was analyzed for the residual dye concentration using Elico make Bio-UV visible spectrometer (BL-198) at 611 nm. The amount of dye adsorbed at onto carbon was calculated by the following mass balance relationship: qt = ( C0 − Ct ) × V W ... (1) where, Co and Ct are the initial and equilibrium liquidphase dye concentrations (mg/L) respectively, V is the volume of dye the solution (L), and W is the weight of adsorbent (g). The effect of pH was studied by adjusting the pH of the adsorptive solution by using 0.1 N NaOH and 0.1 N HCl. All the experiments conducted in duplicate and mean of the two values are taken for calculation. Maximum deviation was ± 4 %. In order to simplify the discussion, hereafter in this paper Direct Blue 53 will be designated as DB53 and the Euphorbia antiquorum L activated carbon will be designated as EAAC. Desorption studies Desorption studies as a function of pH were conducted to analyze the possibility of reuse the adsorbent for further adsorption and to make the process more economical. After adsorption experiments the dye loaded carbon washed gently with double distilled water to remove any unadsorbed dye, if present. Desorption studies were conducted using several such carbon samples. 500 mg of the dye loaded carbon agitated above the equilibration time with 50 mL of double distilled water of various pH and the desorbed dye was estimated as stated in the adsorption studies12,13. 190 INDIAN J. CHEM. TECHNOL., MAY 2011 Results and Discussion Effect of agitation time and initial dye concentration on adsorption The amount of DB53 removed by EAAC increases from 43.48 to 145.45 mg/g while increasing the initial concentration from 25 to 100 mg/L (Fig. 2a). Rapid uptake of dye noticed at the initial 20 min of contact time (1.74 mg/g/min at 25 mg/L to 5.35 mg/g/min at 100 mg/L of initial dye concentration). Adsorption rate decreases from 0.145 mg/g/min at 25 mg/L to 0.641 mg/g/min at 100 mg/L and reaches equilibrium at 90 min. The initial rapid uptake is due to the concentration gradient created by the vacant adsorbent surface between adsorbate in solution and adsorbate on the carbon. The increase in dye concentration eases the resistance and makes more contact between dye and solvent. Availability of dye molecules in the vicinity of adsorbent also increased while increasing the concentration, which results in high uptake of dye at higher concentration14. The results indicate that the adsorption reaches equilibrium at 90 min, beyond which there is no change in the adsorption capacity and therefore 120 min is fixed as equilibration time for isotherm studies. pH is increased, the number of negatively charged sites increases and positively charged sites decreases. Poor adsorption of DB53 at higher pH value is due to the competition between the negatively charged hydroxyl ions and anionic dye for the sorption sites16. Effect of temperature on dye removal Figure 2b represents the uptake of DB53 onto EAAC at 30, 40 and 50°C keeping the initial dye concentration at 50 mg/L. The equilibrium sorption capacity of DB53 onto EAAC increases from 80.86 mg/g to 91.49 mg/g while increasing the temperature from 30 to 50°C. The increase in uptake with increase in temperature indicates the adsorption of DB53 by EAAC is an endothermic process, the same was conformed by the thermodynamic studies. Fig. 2 Effect of agitation time on the adsorption DB53 onto EAAC (a) initial Concentration Variation (b) temperature variation Effect of pH Initial pH is one of the most important environmental factors influencing the solution chemistry of the dyes. Hydrolysis, complexation by organic and/or inorganic ligands, redox reactions, precipitation are strongly influenced by pH and, on the other side, strongly influence the speciation and adsorption availability of the dyes15. The effect of pH for the adsorption of DB53 onto EAAC over a pH range of 2 to 12 is represented in Fig. 3. The uptake of DB53 decreased from 58.40 mg/g to 16.00 mg/g when the solution pH was increased from 2 to 12. The maximum uptake of DB53 by EAAC was obtained at pH 2.0. When the Fig. 3 Effect of pH on the adsorption and desorption of DB53 onto EAAC SIVAKUMAR & PALANISAMY: NON-CONVENTIONAL ADSORBENT FOR REMOVAL OF DIRECT BLUE 53 Kinetics of adsorption Many kinetic models have been proposed to elucidate the mechanism of solute adsorption. The rate and mechanism of adsorption is controlled by various factors like physical and/or chemical properties of adsorbent as well as mass transfer process. These kinetic models are useful for the design and optimization of effluent-treatment process. In order to investigate the mechanism of DB53 adsorption by EAAC the following four kinetic models were considered. Pseudo first-order kinetic model The pseudo first-order kinetic model was proposed by Lagergren17. The integrated form of the model is log(qe − qt ) = log qe − k1 t 2.303 … (2) where, qe is the amount of dye adsorbed at equilibrium (mg/g), qt is the amount of dye adsorbed at time t (mg/g), k1 is the first-order rate constant (min -1) and t is time (min). Hence, a linear trace is expected between the two parameters, log(qe-qt) and t, provided the adsorption follows first order kinetics. The values of k1 and qe can be determined from the slope and intercept. The results of a plot log(qe-qt) versus t at various initial dye concentrations and temperatures (figure not shown) are given in Table 2. The calculated equilibrium sorption capacity qe(cal) and the qe(exp) 191 values have shown large deviation at various initial dye concentrations as well as at various temperatures. The Lagergren pseudo first order rate law failed to explain the adsorption of DB53 by EAAC with poor fit at various concentrations and temperatures. The adsorption data for the whole range of temperatures studied shows deviation from the straight line. Pseudo second-order kinetics The adsorption may also be described by pseudo second-order kinetic model18 if the adsorption does not follow the first-order kinetics. The linearized form of the pseudo second-order model is t 1 1 = + t 2 qt k2 qe qe … (3) where, k2 is the second-order rate constant (g/mg/min). A plot of t/qt and t should give a linear relationship if the adsorption follows second-order. The qe and k2 can be calculated from the slope and intercept of the plot. The pseudo second-order plot at various initial dye concentrations and temperatures are given in Figs 4a and 4b and results are given in Table 2. The equilibrium sorption capacity qe(cal) and qe(exp) are in close agreement at various concentrations as well at various temperatures of study. From the results it is clear that the initial sorption rate, h, and equilibrium sorption capacity qe, increases with increasing the temperature and initial dye concentration. The Table 2 Calculated kinetic parameters for the adsorption of DB53 onto EAAC at various initial concentrations Concentration (mg/L) 25 Pseudo first order kinetics k1 (min -1) qecal (mg/g) qeexp.(mg/g) r2 Pseudo second order kinetics k2 × 10-4 (g/mg min) h qecal(mg/g) r2 Elovich model α (mg/g min) β (g/mg) r2 Intra particle diffusion model kid (mg/g min) r2 50 75 Temperature (°C) 100 30 40 50 0.0679 38.57 43.48 0.9950 0.0507 57.61 80.85 0.9821 0.0509 82.52 114.18 0.9907 0.0560 123.25 145.45 0.9703 0.0504 57.57 80.86 0.9360 0.0469 58.04 85.11 0.9216 0.0392 54.79 91.49 0.9703 41.00 8.23 45.87 0.9969 20.16 20.57 85.47 0.9964 14.17 22.08 120.48 0.9948 9.04 15.03 156.25 0.9979 20.16 20.57 85.47 0.9964 28.63 22.73 88.50 0.9972 25.54 14.73 94.34 0.9966 13.24 0.099 0.9807 23.58 0.054 0.9825 33.82 0.039 0.9837 37.46 0.029 0.9966 23.58 0.054 0.9825 231.62 0.092 0.9815 494.80 0.072 0.9512 2.44 0.9985 4.32 0.9537 6.59 0.9770 10.51 0.9681 4.32 0.9537 3.19 0.9890 4.12 0.9963 INDIAN J. CHEM. TECHNOL., MAY 2011 192 activation energy for chemisorption (g/mg). A plot of qt versus ln t gives a linear trace (figure not shown) with a slope of (1/β) and an intercept of 1/β ln (α β). The initial sorption rate, α, increases from 13.24 to 37.46 mg/g/min while increasing the initial concentration from 25 to 100 mg/L and 23.58 to 494.80 mg/g/min while increasing the temperature from 30 to 50°C. Similar trend of rapid initial uptake was observed experimentally. The other coefficient, β, decreases with increasing the initial dye concentration and increases with increase in temperature. Intra particle diffusion model In the batch mode adsorption process, initial adsorption occurs on the surface of the adsorbent. In addition, there is a possibility of the adsorbate to diffuse into the interior pores of the adsorbent. Weber and Morris22 suggested the following kinetic model to investigate the adsorption is intra-particle diffusion or not. According to this theory qt = kd . t½ Fig. 4 Pseudo second order plot for the adsorption DB53 onto EAAC (a) initial Concentration Variation (b) temperature variation adsorption of DB53 by EAAC is explained well by pseudo second-order kinetics with a very high correlation coefficient. The rapid uptake of dye indicates that the rate determining step could be chemisorption in nature19. Elovich model The Elovich equation is mainly applicable for chemisorption kinetics. The equation is often valid for systems in which the adsorbing surface is heterogeneous20. The Elovich model is generally expressed as21: dqt = α e − β qt dt … (4) Integrating this conditions, gives qt = 1 ln(αβ ) + 1 equation for the boundary ln t … (5) β β where, α is the initial adsorption rate (mg/g/min) and β is related to the extent of surface coverage and the … (6) where, kd is the rate constant of the above model and is analyzed by plotting qt versus t½. A plot of qt versus t½ at various initial dye concentrations and temperatures are shown in Fig. 5a and 5b respectively and the results are given in Table 2. The linear portion of the plot for widerange of contact time between adsorbent and adsorbate does not pass through the origin. This deviation from the origin or near saturation may be done due to the variation of mass transfer in the initial and final stages of adsorption23,24. Such a deviation from the origin indicates that pore diffusion is the only controlling step24. From the Fig. 6 we could see that there are two different regions before the equilibrium. The initial pore diffusion due to external mass transfer (r2 = 0.9968 to 0.9974) followed by the intra particle diffusion (r2 is in the range 0.9537 to 0.9885). The high correlation coefficient in the first region proves that pore diffusion play a major role for the adsorption DB53 on to EAAC. Adsorption isotherm The equilibrium existence of adsorbate between the liquid and solid phase is well described by adsorption isotherms. Experimental isotherm data collected at different temperatures fit in Langmuir, Freundlich, Tempkin and Dubinin-Raduskevich adsorption isotherm models. SIVAKUMAR & PALANISAMY: NON-CONVENTIONAL ADSORBENT FOR REMOVAL OF DIRECT BLUE 53 Langmuir model The Langmuir model25 was originally developed to describe the adsorption of gas on to solid surface. It suggests the formation of monolayer adsorption and also the surface is energetically homogeneous. The Langmuir isotherm can be expressed as; 193 Q0 .bL .Ce … (7) (1 + bL .Ce ) Linear form of the rearranged Langmuir model is qe = Ce C 1 = + e qe Q0 .bL Q0 … (8) where, Ce is the dye concentration in solution at equilibrium (mg/L), Q0 is a constant related to adsorption capacity (mg/g) and bL is Langmuir constant related to energy of adsorption (L/mg). The constants Q0 and bL can be calculated from the slope and intercept of the plot of Ce/qe versus Ce. The results of Langmuir plot (figure not shown) are given in Table 3. Langmuir adsorption capacity varies from 208.33 to 192.31 mg/g for the range of temperatures studied. The high adsorption capacity is due to high surface area and porosity of the adsorbent. The adsorption capacity is comparable with the results reported in the literature. The essential characteristics of Langmuir isotherm can be expressed by dimensionless constant called equilibrium parameter, RL26. RL = 1/ (1+bL.C0) … (9) where, bL is the Langmuir constant and C0 is the initial concentration (mg/L). The value of RL indicates the nature of the adsorption process as given below Fig. 5 Intra particle diffusion plot for the adsorption of DB53 onto EAAC (a) initial Concentration Variation and (b) temperature variation Fig. 6 Freundlich isotherm plot for the adsorption DB53 onto EAAC at various temperatures Table 3 Results of various isotherm plots for the adsorption of DB53 onto EAAC Temperature, °C 30 40 50 Langmuir isotherm Q0 (mg/g) 208.33 200.0 192.31 bL (L/mg) 0.0085 0.0092 0.0098 kL 1.768 1.830 1.883 r2 0.9945 0.9545 0.9404 Freundlich isotherm n 1.72 1.92 1.94 kf (mg1-1/n L1/n g-1) 20.58 27.99 32.13 r2 0.9956 0.9921 0.9912 Tempkin isotherm bT (J/mg) 52.73 50.62 52.13 aT(L/g) 0.351 0.431 0.738 r2 0.9118 0.9878 0.9948 Dubinin-Raduskevich isotherm qD (mg/g) 1.00 1.00 1.00 B × 10-7(mol2/J2) 4.00 4.00 4.00 E (kJ/mol) 1.581 1.590 1.616 r2 0.9087 0.9518 0.9614 INDIAN J. CHEM. TECHNOL., MAY 2011 194 RL> 1 Unfavourable RL = 1 Linear 0 < RL < 1 Favourable RL = 0 Irreversible RT ln(aT .C e ) qe = bT … (12) The linear form of Tempkin equation is The RL value ranges between 0.405 and 0.9218 for the range of temperatures studied indicate that the adsorption of DB53 by EAAC is favourable. qe = RT RT ln aT + ln C e bT bT … (13) Freundlich model27 It is a most popular model for a single solute system, based on the distribution of solute between the solid phase and aqueous phase at equilibrium28. The Freundlich equation is expressed as; q e = k f C e1 / n … (10) where, Kf is the measure of adsorption capacity and n is the adsorption intensity Linear form of Freundlich equation is log q e = log k f + 1 log C e n where, bT is the Tempkin constant related to heat of sorption (J/mg) and aT the Tempkin isotherm constant (L/g), A plot of qe versus ln Ce (figure not shown) is used to determine the constants bT and aT. However, the model failed to explain the adsorption isotherm compared to other isotherms due to its poor fit for the experimental data. Dubinin-Radushkevich isotherm The isotherm proposed by Dubinin32 has the following form … (11) A plot of log qe versus log Ce (Fig. 6) gives a linear trace with a slope of 1/n and intercept of log kf. When 1/n is >1.0, the change in adsorbed concentration is greater than the change in the solute concentration. The Freundlich model is suitable for use with heterogeneous surface but can describe the adsorption data over a restricted range only. It is often found that when the Freundlich equation is fitted to data at higher and intermediate concentrations, since the Freundlich equation does not approach Henry’s Law of ideal dilute solutions. The Freundlich parameters kf and n are given in Table 3. The Freundlich constant, kf increases with increase in temperature. The value of n is greater than 1.0 indicating the adsorption DB53 onto EAAC is favourable. Freundlich model is more appropriate to explain the nature of adsorption with correlation coefficient of 0.9912 to 0.9956 rather Langmuir model shows poor fit (r2 = 0.9404 to 0.9945). Tempkin isotherm The Tempkin29 isotherm assumes that the fall in the heat of adsorption is linear rather than logarithmic as stated in Freundlich expression30. The heat of sorption of all the molecules in the layer would decrease linearly with coverage due to sorbate/sorbent interactions31. The Tempkin isotherm is applied in the following form qe = qD .e − Bε 2 … (14) Linear form of Dubinin-Radushkevich isotherm is ln qe = ln qD – Bε2 … (15) where, qD is the theoretical saturation capacity (mg/g), B is a constant related to the mean free energy of adsorption per mole of the adsorbate (mol2/J2) and ε is polanyi potential which is related to the equilibrium as follows; ε = RT ln(1+1/Ce) … (16) where, R is the Universal gas constant (8.314 J/mol/K) and Ce is the equilibrium dye concentration of adsorbate in solution (mg/L). A plot of ln qe versus ε2 gives a linear trace (figure not shown) and the constants qD and B calculated from the slope and intercept respectively. The mean free energy of adsorption E calculated from B using the following equation E = 1/ (2B)½ … (17) Based on this energy of activation one can predict whether an adsorption is physisorption or chemisorption. If the energy of activation is <8 kJ/mol, the adsorption is physisorption and if the energy of activation is 8-16 kJ/mol, the adsorption is SIVAKUMAR & PALANISAMY: NON-CONVENTIONAL ADSORBENT FOR REMOVAL OF DIRECT BLUE 53 195 suggested good affinity of the dye towards the adsorbent and the adsorption is spontaneous in nature33. Negative values of ∆G° indicate that the adsorption process is favourable and spontaneous in nature. ∆G° decreased from -1.437 kJ/mol to 1.701 kJ/mol with increase in temperature from 30 to 50°C. Desorption studies Desorption increases with increase of pH from 2 to 10 and there is no considerable change in desorption above pH 10. As shown in Fig. 3, the maximum percent of desorption observed at pH 10 was 19.20%. Fig. 7 Van’t Hoff plot for the adsorption DB53 on to EAAC at 30, 40 and 50°C Table 4 Thermodynamical parameters for the adsorption DB53 onto EAAC Temperature, °C ∆H°, kJ/mol ∆S°, J/K/mol ∆G°, kJ/mol 30 40 50 2.555 13.716 -1.437 -1.569 -1.701 chemisorption in nature27. The activation energy of adsorption is found to be 1.581 kJ/mol indicates that the adsorption is physisorption in nature. Thermodynamics of adsorption Thermodynamic parameters like ∆H°, ∆S° and ∆G° were measured based on Van’t Hoff’s plot. ∆S O ∆H O 1 ln bL = − R R T … (18) where, bL is the Langmuir equilibrium constant, ∆H° and ∆S° are the standard enthalpy and entropy changes of adsorption respectively. The values of ∆H° and ∆S° are calculated from the slopes and intercepts of the linear plot of ln bL versus 1/T. The free energy of specific adsorption ∆G° (kJ/mol) is calculated from the following expression ∆G° = ∆H° – T∆S° … (19) Van’t Hoff plot for the adsorption process is given in Fig. 7 and the values are presented in Table 4. The mean adsorption enthalpy ∆H° was found to be 2.555 kJ/mol, indicates that the bonding between DB53 and EAAC surface is very weak. The positive enthalpy proves that the adsorption process is endothermic in nature. Positive values of ∆S° Conclusions The present study revealed that activated carbon prepared from Euphorbia antiquorum L wood by H3PO4 impregnation can be employed as potential adsorbent for the removal of direct dyes such as Direct Blue 53 from its aqueous solution. Rapid uptake of dye noticed at the initial 20 min of contact time and the rate decreases thereafter and reaches equilibrium at 90 min. The adsorption follows pseudo second-order kinetics. The intra particle diffusion study reveals that the removal of dye occurs through a pore diffusion process. Freundlich model is more appropriate to explain the nature of adsorption with high correlation coefficient rather Langmuir model shows poor fit. Thermodynamic parameters accounts for the feasibility of the process at various temperatures of study. The maximum percent of desorption observed at pH 10 was 19.20%. Acknowledgements The authors gratefully acknowledge the financial support granted by the University Grants Commission (UGC), New Delhi, under the Major Research Project Scheme to carry out this study. References 1 Mondal S, Environ Eng Sci, 25 (2008) 383. 2 Karthikeyan S, Sivakumar P & Palanisamy P N, E J Chem, 5 (2008) 409. 3 Palanisamy P N & Sivakumar P, Rasayan J Chem, 1(4) (2008) 901. 4 Sivakumar P & Palanisamy P N, Desalination, 249 (2009) 388. 5 Basso M C, Cerrella E G & Cukierman A L, Ind Eng Chem Res, 41 (2002) 180. 6 Macias G A, Diaz M A, Gomez V & Gonzalez M, Smart Mater Struct, 12 (2003) 24. 7 Jambulingam M, Karthikeyan S, Sivakumar P, Kiruthika J & Maiyalagan T, J Sci Ind Res, 66 (2007) 495. 196 INDIAN J. CHEM. TECHNOL., MAY 2011 8 Vikrant S, Tony S S & Pant K K, Bioresour Technol, 97 (2006) 1986. 9 Satish M, Vanraj B C & Manocha L M, Carbon Sci, 3(3) (2002) 133. 10 Chan L S, Cheung W H & McKay G, Desalination, 218 (2008) 304. 11 ISI, Activated Carbon, Powdered and Granular – Methods of sampling and its tests, (Bureau of Indian Standards, New Delhi), IS 877-1989. 12 Gooding J J, Compton R G, Brennan C M & Atherton J H, J Colloid Interface Sci, 180(2) (1996) 605. 13 Hsieh C T & Teng H, J Colloid Interface Sci, 230 (2000) 171. 14 Ju D J, Byun I G, Lee C H, Ahn G H & Park T J, Water Practice Technol, 1 (2006) 01. 15 Ayla O, Gonul A & Meral T, J Hazard Mater, B135 (2006) 355. 16 Vijayaraghavan K, Han M H, Choi S B & Yun Y S, Chemosphere, 68 (2007) 1838. 17 Lagergren S, Kung Sven Veten Hand, 24 (1898) 1. 18 Ho Y S & McKay G, Proc Biochem, 34 (1999) 451. 19 Low K S, Lee C K & Tan K K, Bioresour Technol, 52 (1995) 79. 20 Perez-Marin A B, Meseguer Z V, Ortuno J F, Aguilar M, Saez J & Llorens M, J Hazard Mater, B139 (2007) 122. 21 Chien S H, Clayton W R & McClellan G H, Soil Sci Soc Am J, 44 (1980) 260. 22 Weber W J & Morris J C, Proc Int Conf Adv Water Pollut Res, 2 (1963) 231. 23 Pandey K K, Prasad G & Singh V N, Environ Technol Lett, 50 (1986) 547. 24 Mohanty K, Jha M, Meikap B C & Biswas M N, Chem Eng Sci, 60 (2005) 3049. 25 Langmuir I, J Am Chem Soc, 40 (1918) 1361. 26 Hall K R, Eagleton L C, Acrivos A & Vermeulen T, Ind Eng Chem Fund, 5 (1966) 212. 27 Ozcan A S, Erdem B & Ozcan A, Colloid Surf A, 266 (2005) 73. 28 Freundlich H, Colloid and capillary chemistry, (E P Dutton & Co., New York), 1928 29 Choy K K H, McKay G & Porter J F, Resour Conserv Recy, 27 (1999) 57. 30 Aharoni C & Ungarish M, J Chem Soc Faraday Trans, 73 (1977) 456. 31 Hosseini M, Mertens S F L, Ghorbani M & Arshadi M R, Mater Chem Phys, 78 (2003) 800. 32 Dubinin M M, Chem Rev, 60 (1960) 235. 33 Gupta V K, Mittal A & Gajbe V, J Colloid Int Sci, 284 (2005) 89.