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Original article
10 (
2_suppl
); S1883-S1893
doi:
10.1016/j.arabjc.2013.07.017

Equilibrium, kinetics and thermodynamics of Cadmium (II) biosorption on to composite chitosan biosorbent

Biopolymers and Thermo Physical Laboratories, Department of Chemistry, Sri Venkateswara University, Tirupati 517 502, A.P., India
Department of Biological & Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia
US Army Engineering Research and Development Center, CERL, Champaign, IL 81822, USA

⁎Corresponding author. Tel.: +91 9393621986. madala.suguna@gmail.com (Suguna Madala)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Peer review under responsibility of King Saud University.

Abstract

A composite chitosan biosorbent (CCB) was prepared by coating chitosan onto ceramic alumina. The uptake capacity of CCB for Cadmium (II) was studied under equilibrium conditions in the temperature range 298–318 K. The sorbent was characterized by high temperature, pyrolysis, porosimetry, FTIR, SEM, EDAX and XRD analyses. The adsorption capacity of the biosorbent is investigated as a function of initial pH, contact time, initial concentration of adsorbate, amount of biomass and temperature. The data were analyzed using different kinetic and isotherm models. Pseudo-second-order model and Elovich equation provided a better representation of the experimental data. Among the adsorption isotherm models, Langmuir model gave a better fit of the equilibrium data. The calculated thermodynamic parameters showed that the biosorption of Cd(II) ions is feasible, spontaneous and endothermic in nature. Experimental results indicated that the CCB beads appear to be a promising biosorbent material for the removal of Cd(II) ions from aqueous media.

Keywords

Biosorption
Cadmium(II)
Composite chitosan biosorbent (CCB)
Isotherm models
Kinetics
Thermodynamics
1

1 Introduction

Heavy metal removal from ground water and industrial waste water is currently an important environmental concern. Heavy metals have been continuously released into the environment due to rapid industrialization and have created a major global concern. The removal of these metal ions from drinking water is a real challenge due to their trace quantities, formation of complexes with natural organic matter and toxic even at very low concentrations (Vieira and Beppu, 2006). Unlike some organic pollutants, heavy metals are not biodegradable and cannot be metabolized or decomposed. Heavy metals can easily enter into the food chain through a number of pathways and cause progressive toxic effects with gradual accumulation in living organisms over their life span. Many toxic metals are often detected in industrial waste water which originates from metal plating, mining activities, smelting, battery manufacture, printing, paint and pigment industries etc., (Niu et al., 2010; Hu et al., 2011; Shukla and Sakhardande, 1992).

Cadmium is a dangerous pollutant that is released into aquatic medium from electro-plating industries, batteries, phosphate fertilizers, mining, pigments, stabilizers and alloys. Cadmium finds its way to the water streams through waste discharge (Low and Lee, 1991; Salim et al., 1992). Cadmium has been classified as a human carcinogen and teratogen impacting lungs, kidneys, liver renal dysfunction, hypertension, hepatic injury and reproductive organs (Waalkes, 2000; Sharma, 2008; Mahalik et al., 1995; Kazi et al., 2008a, b). The World Health Organization has set a maximum guideline concentration of 0.003 mg L−1 for Cd in drinking water (WHO, 2008). Therefore, it is very essential to control the concentration of heavy metals in waste water before its disposal into the environment.

The techniques that have been widely used to remove toxic metals from industrial effluents are ion exchange, chemical precipitation, complexation, elecrodeposition, liquid–liquid extraction, reverse osmosis, oxidation–reduction process, evaporation, membrane separation and adsorption. But these methods are expensive and ineffective especially when the heavy metal ions are present in the waste water at low concentrations. Adsorption is one of the most economical, effective and widely used methods for the removal of toxic metals from aqueous environment.

Recent researchers have been focused on the modification of chitosan. Coating chitosan as a thin layer onto an immobilization support increases the accessibility of its binding sites, and improves the mechanical stability (Wan et al., 2004). Several studies of metal ion adsorption by modified chitosan have been carried out in recent years, such as isotherm, kinetic and thermodynamic studies of lead and copper uptake by H2SO4 modified chitosan (Kamari and Ngah, 2009), the removal of lead and copper by chitosan –coated sand (Wan et al., 2010), adsorption characterization of Pb(II) and Cu(II) by chitosan- tripolyphosphate beads (Ngah and Fatinathan, 2010), removal of lead by glutaraldehyde cross linked chitosan beads (Suguna et al., 2011), removal of copper, lead and nickel by chitosan immobilized on bentonite (Futalan et al., 2011), removal of copper and nickel by chitosan coated PVC beads (Popuri et al., 2009), removal of Cu(II) and Cd(II) by chitosan crosslinked with epichlorohydrin-triphosphate (Laus and de Favere, 2011), removal of Hg(II), Cd(II) and Zn(II) by cross-linked magnetic chitosan- phenylthiourea resin (Moneir and Abdel Latif, 2012). Krishnapriya and Kandaswami (2010) synthesized a new chitosan biopolymer derivative and studied adsorption of metal ions. Gupta et al. (2012) have studied the adsorptive removal of Pb(II), Co(II) and Ni(II) by hydroxyapatite/chitosan composite from aqueous solution. Monier et al. (2012) studied the adsorption of Cu(II), Cd(II) and Ni(II) ions by cross-linked magnetic chitosan-2-aminopyridine glyoxal schiff’s base. Boddu et al. (2003) prepared CCB beads and studied the removal of hexavalent chromium from waste water and also studied about the removal of copper (II) and nickel (II) ions from aqueous solutions (Boddu et al., 2008).

Chitosan contains reactive hydroxyl and amino groups that have the potential to bind heavy metals. Pure chitosan has the property to agglomerate and form a gel in aqueous medium, so most of the hydroxyl and amino groups are inaccessible for metal binding. To improve its adsorption capacity and enhance the sorption rate, the design and exploration of novel adsorbents are still necessary. Transport of the metal contaminants to the binding sites plays a very important role in the process design. With an objective to provide a physical support to withstand the mechanical pressure in a hydrodynamic environment, to improve its resistance toward dissolution in acidic medium, to make the binding sites readily available for the adsorbate and to increase the porosity thereby to achieve enhanced adsorption rates, we have prepared a composite chitosan biosorbent by coating chitosan on alumina.

The primary objective of the present study was to evaluate the removal efficiency of the CCB for Cd(II) ions from aqueous solutions. Various spectroscopic and microscopic examinations were done to characterize the material and evaluate its performance for Cd(II) uptake. Experimental parameters affecting the biosorption process such as effect of pH, initial metal ions concentration, biomass dosage, contact time and temperature were studied. The experimental equilibrium adsorption data were analyzed by different kinetic and isotherm models. The thermodynamic parameters such as Δ, Δ and Δ for biosorption process were evaluated.

2

2 Materials and methods

2.1

2.1 Materials

Medium molecular weight chitosan (75–85% deacetylated), oxalic acid dehydrate, and 150 mesh-activated alumina were obtained from Sigma–Aldrich Chemicals (St. Louis, MO, USA). All the necessary chemicals used were of analytical grade and obtained from M/S Qualigens Fine Chemicals, Mumbai, India. Stock solution (1000 mg L−1) was prepared by dissolving Cd(NO3)2.4H2O. This was further diluted to obtain the desired concentration for practical use. The pH of the solution was measured with a Digisun electronics digital pH meter using a solid electrode calibrated with a standard buffer solution. A flame atomic absorption spectrophotometer (Shimadzu AA-6300, Japan) with deuterium background corrector was used. All measurements were carried out in an air/acetylene flame. A 10 cm long slot burner head, a lamp and an air-acetylene flame were used. The operating parameters for working element were set as recommended by the manufacturer. The FTIR spectra were recorded using Thermo-Nicolet FTIR, Nicolet IR- 200 series, Germany. Scanning Electron Microscopy (Model Evo15, CarlZeiss, England) has been used to study the surface morphology of the biosorbent. The synthetic solutions were prepared by diluting Cd(II) standard stock solutions (concentration 1000 ± 3 mg L−1). Fresh dilutions were used in each experiment.

2.2

2.2 Synthesis of composite chitosan biosorbent

CCB was synthesized following the procedure described by Boddu et al. (2003). Ceramic alumina with 150 mesh sizes was dried in oven for 4 h at 110 °C followed by stirring with oxalic acid for 4 h at room temperature, filtering, washing twice with DI water, and drying in an oven at 70 °C under vacuum for 24 h. About 50 g of medium molecular weight chitosan was slowly added to 1000 mL of 10 wt.% oxalic acid solution with stirring. The acid and chitosan formed a viscous mixture (gel), which was heated to 40–50 °C to facilitate mixing. Approximately 500 mL of the chitosan gel was diluted with water and heated to 40–50 °C while stirring vigorously. About 500 g of the acid treated alumina was slowly added to the diluted gel and stirred for about 36 h at constant stirring rate. The contents are allowed to settle, and the clear liquid was filtered out under vacuum with Whatman no 41 filter paper. The composite biosorbent was washed twice with DI water and dried in the oven at 55 °C under vacuum for 24 h. The coating process was then repeated on the once coated biosorbent to increase loading of chitosan onto the alumina. Excess oxalic acid in the composite biosorbent was neutralized by treatment with aqueous NaOH. The mixture was then filtered with Whatman No. 41 filter paper and washed with DI water to remove excess NaOH. Twice-coated biosorbent was then allowed to dry in the oven under vacuum at 55 °C for about 48 h. The biosorbent was sieved and the beads between −32 and +60 mesh were used for the experimental work.

2.3

2.3 Batch studies

Batch adsorption experiments were carried out in Erlenmeyer flasks by adding 0.1 g of CCB in 100 mL of aqueous Cd(II) solution at desired initial pH, metal ion concentration and temperature. The initial pH was adjusted with solutions of 0.1 M HCl or 0.1 M NaOH. The flasks were gently agitated in a temperature controlled water bath shaker at 200 rpm for a period of 3 h. All the experiments were performed in triplicates at the desired initial conditions and the concurrent value was taken. The contents of flask were separated from the biosorbent by filtration, using Whatman No. 42 and the filtrate was analyzed for remaining metal concentration in the sample using atomic absorption spectrophotometer. The amount of metal ion sorbed per unit mass of the biosorbent (mg g−1) was evaluated by using the following equation:

(1)
q e = ( C i - C e ) V m where qe (mg g−1) is the adsorption capacity at equilibrium, Ci and Ce denote respectively the initial and equilibrium concentrations of metal ion (mg L−1), V (L) is the volume of adsorbate and m (g) is the amount of adsorbent. To study the effect of initial pH on the metal ion uptake by CCB, sorption experiments were performed by using 100 mL of solution with initial metal ion concentration of 100 mg L−1 and adsorbent dose of 0.1 g at 298 K by varying the pH of the solution. The effect of adsorbent dose on adsorption of metal ions was studied by agitating 100 mL of 100 mg L−1 metal solution with different amounts of adsorbent. Effect of initial metal ion concentration was studied with initial metal ion concentrations of 100, 200, 300 and 400 mg L−1 keeping adsorbent and pH constant. The effect of contact time on the removal of the metal ion was studied by varying the contact time from 30 to 210 min at 298 K.

3

3 Results and discussion

3.1

3.1 Characterization of biosorbent

3.1.1

3.1.1 Determination of chitosan loading on alumina by pyrolysis technique

High temperature pyrolysis indicated that pure alumina lost about 2.1 wt.%, oxalic acid treated alumina lost 4.5 wt.% and single coating CCB lost 7.8 wt.%. The net amount of chitosan on the twice coated biosorbent was found to be 21.1 wt.%. Pure chitosan leaves a residue of about 0.7 wt.% after pyrolysis at 750 °C. Chitin is obtained from crab shells by acid–base extraction and chitosan is obtained from chitin by the deacetylation process. The residue may be due to a small amount of calcium carbonate that remains bound with the chitin. Since the residue is in such a small amount, no attempt was made to correct the chitosan net weight for this.

3.1.2

3.1.2 Surface area analysis

Surface area, pore volume and pore diameter of the CCB were determined with a Micromeritics BET instrument by means of adsorption of ultra pure nitrogen at −196 °C. Average values of these properties are 125.24 m2g−1, 0.1775 cm3g−1 and 71.12 Å respectively.

3.1.3

3.1.3 FTIR analysis

FTIR spectral analysis is important in identifying the different functional groups present on the surface of biosorbent which are responsible for the binding of metal ions. FTIR spectra in the range of 4000–500 cm−1 for the CCB before and after biosorption of Cd(II) are shown in Fig. 1(a) and (b) respectively. The FTIR spectrum of CCB in Fig. 1(a) indicates the presence of predominant peaks at 3379.8 cm−1 (–OH and –NH stretching), 2924.87 cm−1 (–CH stretching), 1661.0 cm−1 (–NH bending in –NH2), 1393.3 cm−1 (–NH deformation vibration in –NH2) and 1065.1 cm−1 (–C–O–C– stretching). This reveals that all functional groups present in chitosan are intact even after coating on alumina and are available for interaction with the metal ions. The intensity of transmittance of peaks is relatively greater in the case of CCB loaded with metal ions compared to the virgin CCB. This may be attributed to the presence of fewer free functional groups in the CCB loaded with metal ion. This observation provides evidence that the functional groups such as –NH2, and –OH are involved in binding the cadmium metal ion to CCB. The proposed model for the formation of a complex between chitosan and cadmium metal ion is shown in Supplementary Figure 1.

FTIR spectra of (a) CCB beads before biosorption (b) Loaded with Cd(II).
Figure 1
FTIR spectra of (a) CCB beads before biosorption (b) Loaded with Cd(II).

3.1.4

3.1.4 Scanning electron microscopic studies

Scanning electron micrographs (SEM), recorded using software controlled digital scanning electron microscope, are given in Fig. 2(a) and (b). The SEM of CCB beads shows no particular crystalline structure and it rather appears spherical. The SEM micrographs of CCB beads illustrate the surface texture and porosity of CCB beads with holes and small openings on the surface, thereby increasing the contact area, which facilitates the pore diffusion during adsorption. The porous nature is clearly evident from these micrographs.

Scanning electron micrographs of (a) scanning electron micrographs of the CCB at 100× (b) scanning electron micrographs of the CCB at 800×.
Figure 2
Scanning electron micrographs of (a) scanning electron micrographs of the CCB at 100× (b) scanning electron micrographs of the CCB at 800×.

3.1.5

3.1.5 EDAX analysis

The sample composition and element contents were analyzed by using the energy dispersive analysis system of X-ray (EDAX) (EDAX, Ltd., USA). EDAX analysis was conducted to evaluate the adsorption of cadmium on CCB beads. The EDAX spectrum of CCB beads indicated the presence of C, O, Al, K, Na and Si in the structure (Fig. 3(a)) but did not show the characteristic signal of Cd ions on the surface of pure CCB beads. An EDAX spectrum was also recorded for CCB loaded with Cd(II) ions (Fig. 3(b)), which gives the characteristic peak for Cd at 3.20 keV. This confirms the binding of the cadmium ions to CCB surface.

Energy dispersive X-ray (EDAX) analysis of (a) CCB beads before biosorption (b) After biosorption of Cd(II).
Figure 3
Energy dispersive X-ray (EDAX) analysis of (a) CCB beads before biosorption (b) After biosorption of Cd(II).

3.1.6

3.1.6 X-ray diffraction studies

Powder X-ray diffraction patterns were recorded on a Bruker D8-Advance diffractometer using graphite monochromatic CuKα1 (1.5406 Å) and Kα2 (1.54439 Å) radiations. Fig. 4 (a) and (b) shows the X-ray diffraction patterns of CCB biosorbent before and after adsorption of Cd(II). In Fig. 4(a) three broad peaks are centered at 2 theta = 19.20°, 29.95° and 41.61° and also half broad peak at 5°, which indicate the amorphous nature of the biosorbent, so the metal ion could more easily penetrate through the biosorbent surface. In Fig. 4(b), one major broad amorphous peak at 20–38°, one minor broad amorphous peak at around 42.17° and one broad hump at 6.52–10.33° also amorphous.

XRD pattern of (a) CCB beads before biosorption (b) Loaded with Cd(II).
Figure 4
XRD pattern of (a) CCB beads before biosorption (b) Loaded with Cd(II).

3.2

3.2 Effect of pH

In order to evaluate the influence of this parameter on the adsorption of Cd(II) the experiments are carried out in the pH range of pH 2.0–8.0. The experiments could not be conducted at pH less than 2.0 to avoid dissolution of CCB beads and could not be conducted above pH at 8.0 to avoid the precipitation of Cd(II) ions. The variation of adsorption capacity of CCB beads with pH is graphically represented in Supplementary Fig 2. The maximum uptake of Cd(II) ions takes place at pH 6.0 and decreases in adsorption capacity on either side of pH 6.0. The free amino groups (–NH2) in chitosan (Ch-) exist in equilibrium with the protanated amino group in the presence of acidic aqueous solution. Ch - NH 2 + H 2 O Ch - NH 3 + + OH -

The amino groups are protophillic and become NH3+ in an acidic medium. At low pH values, protons occupy most of the sorption sites on the biosorbent surface resulting in adsorption of smaller amounts of cadmium ions because of electrostatic repulsion. With the increase of pH, the amino groups become free from protanation due to a decrease in the concentration of hydrogen ions leading to the decrease in competition of H+ with metal ions for sorption sites and thus the adsorption capacity increases. However the precipitation of Cd(II) ions could lead to the decrease of adsorption capacity above pH 8.0.

Cadmium in an aqueous solution is hydrolyzed with the formation of various species, depending on the solution pH. Moreover, Cd2+, which is the main hydrolyzed cadmium species in the pH range 5.0–7.0 appears in the form of Cd(OH)+, Cd(OH)2, and Cd(OH)3. Among them Cd2+ is the predominant species in the solution within this pH range. The fraction of negatively charged hydrolysis products in the solution increases as pH increases. Chitosan can form chelates with cadmium ions with the release of H+ ions. A chelate formation may require the involvement of the two or more complexion groups from the molecule. The Cd(II) ion may seek two or more amine groups from chitosan to form the complex. This should normally reduce the solution pH. In the case of chitosan, the protanation of NH2 groups occurs at a rather low pH range. The fact that the pH of the solution increased as the adsorption progressed suggests that Cd(II) formed a covalent bond with the NH2 group. The two NH2 groups could come from two different glucosamine residues of the same molecule, or from two different molecules of chitosan. Jha et al. (1988) compared the stability constants for ammonia and amino complexes with those for chloro complexes of cadmium and noted that the formation of covalent bond with amine nitrogen is the more preferred reaction.

3.3

3.3 Effect of adsorbent dosage

To understand the effect of amount of adsorbent on adsorption of Cd(II), the experiments were performed at pH 6.0 with 100 ml of sorbate solution by varying the amount of adsorbent from 0.05 to 0.5 g. The percent removal of Cd(II) ions increases with increase of amount of CCB due to the greater availability of binding sites of the biosorbent. The maximum removal efficiency is with 0.4 g of CCB and the maximum percent removal is about 93.76% (Fig. 5).

Effect of biosorbent dose on percent removal of Cd(II) onto CCB beads. (Experimental conditions: initial conc. 100 mg/L, contact time 3 h, pH 6.0.).
Figure 5
Effect of biosorbent dose on percent removal of Cd(II) onto CCB beads. (Experimental conditions: initial conc. 100 mg/L, contact time 3 h, pH 6.0.).

3.4

3.4 Effect of contact time and initial metal ion concentration

The extent of adsorption increases with time and attained equilibrium for all the concentrations Cd(II) studied (100–400 mg L−1) at 180 min. The plot was drawn between time and adsorption capacity (Supplementary Figure 3). In the initial stages the removal efficiencies of the biosorbent increased rapidly due to the abundant availability of active binding sites on the biomass, and with gradual occupancy of these sites, the sorption became less efficient in the later stages.

3.5

3.5 Adsorption kinetics

In order to investigate the mechanism and to determine the rate controlling step of adsorption of Cd(II) on CCB, kinetic models were used. The rate constants were calculated using pseudo-first-order and pseudo-second-order kinetic models (Siva Kumar et al., 2012) and the rate controlling step was determined by intra-particle diffusion model. The pseudo-first-order is represented by:

(2)
ln ( q e - q t ) = ln q e - k 1 t where k1 is the pseudo-first-order rate constant (min−1) of adsorption, qe and qt (mg g−1) are the amounts of metal ion adsorbed at equilibrium and time t (min), respectively. The value of k1 was calculated from the slope of the linear plot of log (qe–qt) verses t. The linear form of pseudo-second-order equation can be written as:
(3)
t q t = 1 k 2 q e 2 + 1 q e t
where k2 is the pseudo-second-order rate constant (g mg−1 min−1). The values of k2 and qe were calculated from the plot of t/qt vs. t (Supplementary Figure 4). The results of kinetic parameters are shown in Table 1. The validity of each model could be checked by the fitness of the straight lines (R2 values). The qe (cal) values calculated from pseudo-first-order kinetic model differed appreciably from the experimental values. However, in the pseudo-second-order kinetic model the calculated qe (cal) are very close to qe (exp) at all initial metal ion concentrations. Further, the values of correlation coefficients (R2) of pseudo-first-order model were less than pseudo-second-order model indicating that the pseudo-second-order is better obeyed than the pseudo-first-order model.
Table 1 Values of the parameters of kinetic models for Cd(II) onto CCB beads.
Metal ions (mg/L) qe, exp (mg/g) Pseudo-first-order Pseudo-second-order Weber-Morris Chemisorption
qe, cal (mg/g) k1 R2 qe, cal (mg/g) k2×10−3 (mg/g min) R2 qe, cal (mg/g) Kid R2 qe,cal a(mg/g min) b × 10−2(g/mg) R2
100 70.9 40.3 0.014 0.999 83.3 0.39 0.997 68.5 2.8 0.958 68.6 10.7 7.5 0.988
200 114.2 52.8 0.021 0.965 120.0 0.64 0.999 112.6 2.4 0.926 112.5 696.0 8.2 0.986
300 155.9 52.1 0.014 0.987 160.6 0.45 0.999 152.9 3.4 0.961 153.0 931.1 6.0 0.974
400 205.7 52.9 0.012 0.949 210.0 0.37 0.998 201.5 3.7 0.953 201.5 9066.0 5.6 0.963

The intra-particle diffusion model is used to investigate the diffusion controlled adsorption system. The probability of the intra-particle diffusion was explored by using the following equation (Weber and Morris, 1964):

(4)
q t = k id t 1 / 2 + C where qt (mg g−1) is the adsorption capacity at any time t (min), kid is the intraparticle diffusion rate constant (mg g−1 min1/2), C is the value of intercept which gives an idea about the boundary layer thickness, i.e., the larger intercept; the greater is the boundary effect. The plots of qt vs. the square root of time obtained for the adsorption of Cd(II) onto CCB at different concentrations are shown in Supplementary Figure 5. The intraparticle rate constant kid (mg g−1 min1/2) and intercept C are given in Table 1. The plots are not linear over the whole time range, indicating that more than one step is involved in the adsorption of metal ions. If the intra-particle diffusion is the only rate-controlling step then the plot should pass through the origin, else the boundary layer diffusion affects the adsorption to some degree. The linear curve is deviated from the origin or near saturation because of the differences in the mass transfer rate in the initial and final stages of adsorption. The plots are not passing through origin indicating that the intra particle diffusion is not the only rate determining factor.

Boyd model is applied to check whether sorption proceeds via film diffusion or intraparticle diffusion mechanism. The model can be expressed in the following form (Boyd et al., 1947):

(5)
F = 1 - 6 Π 2 exp ( - B t ) where F = qt/qe; qe is the amount of metal ions adsorbed at equilibrium (mg g−1), qt represents the amount of ions adsorbed at any time t (min) and Bt is a mathematical function of F. Eq. (5) can be rearranged by taking the natural logarithm to obtain the equation:
(6)
B t = - 0.4977 - ln ( 1 - F )
The plots of Bt vs. t at different initial concentrations of Cd(II) are shown in Supplementary Figure 6, which are linear with the correlation coefficient (R2) greater than 0.987. The results suggest that the adsorption process is controlled by film diffusion.

The Elovich equation has been applied satisfactorily to some chemisorption processes. The Elovich equation can be written in the following form (Kellner et al., 1998):

(7)
q t = 1 b ln ( ab ) + 1 b ln t where a (mg g−1 min−1) is the initial sorption rate and b (g mg−1) is the desorption constant related to the extent of surface coverage and activation energy for chemisorption. The parameters (1/b) and (1/b) ln(ab) can be obtained from the slope and intercept of the linear plot of qt vs. ln t (Supplementary Figure 7). The plots are linear with good correlation coefficient values (Table 1). This suggests that the sorption process follows the pseudo-second-order kinetic model based on the assumption that the rate determining step may be chemisorption, involving valence forces through sharing or exchange of electrons between adsorbent and adsorbate.

3.6

3.6 Adsorption isotherm modeling

Isotherms are the equilibrium relations between the concentration of adsorbate on the solid phase and its concentration in the liquid phase. From the isotherms the maximum adsorption capacity can be obtained. These data provide information on the capacity of the adsorbent or the amount required to remove a unit mass of pollutant under the system conditions. Langmuir and Freundlich isotherms are the most common isotherms describing the solid–liquid adsorption system. The Langmuir model assumes that adsorption takes place at specific homogeneous sites on the surface of the adsorbent and also, when a site is occupied by an adsorbate molecule, no further adsorption can take place at this site. The Langmuir equation is expressed by the following expression (Langmuir, 1916):

(8)
1 q e = 1 q m K L C e + 1 q m where qe (mg g−1) is the amount of metal ion adsorbed per unit mass of adsorbent, Ce (mg L−1) is the equilibrium concentration of metal ions, qm is the monolayer biosorption capacity of the adsorbent (mg g−1) and KL (mg L−1) is the Langmuir equilibrium constant, respectively. The graph of (Supplementary Figure 8) 1/qe vs. 1/Ce was plotted to determine qm and KL and the values were shown in Table 2.
Table 2 Langmuir, Freundlich, Dubinin–Ruduskevick and Temkin isotherm constants for biosorption of Cd(II) onto CCB beads at different temperatures.
Temp K Langmuir Freundlich Dubinin-Ruduskevick Temkin
qmax (mg/g) b (L/mg) R2 KF (mg/g) n R2 qm (mg/g) β × 10−3 (mol2 kJ) E (kJ/mol) R2 bT (L/mg) AT (J/mol) R2
298 95.2 0.087 0.999 9.09 1.53 0.998 48.6 8.0 8.0 0.898 118.6 1.07 0.969
308 101.0 0.158 0.998 12.95 1.48 0.969 59.6 7.0 8.5 0.879 97.0 1.14 0.979
318 108.7 0.256 0.999 20.11 2.02 0.998 67.9 6.0 9.1 0.997 120.3 2.00 0.969

The essential characteristics of Langmuir isotherm can be expressed by a dimensionless constant called separation factor (or equilibrium parameter), RL, which is defined by Weber and Chakkravorti as (Weber and Chakkravorti, 1974):

(9)
R L = 1 1 + K L C 0 where C0 (mg L−1) is the initial amount of adsorbate and KL is the Langmuir sorption constant (L mg−1) described above. RL indicates the nature of adsorption. Adsorption is favorable when the value of RL is between 0 and 1.The RL parameter is considered as a more reliable indicator of the adsorption. The value of RL indicates the type of the isotherm to be either unfavorable (RL > 1), linear (RL = 1), favorable (0 < RL < 1) or irreversible (RL = 0). The RL values for Cd(II) ions were shown in Supplementary Table 1 at the temperature range from 298 to 318 K. The values show that the adsorption is favorable for the metal ions by CCB beads.

The Freundlich model assumes a heterogeneous surface with the involvement of sites of different energies in adsorption process. The Freundlich model is given as (Freundlich, 1906):

(10)
log q e = log K F + 1 n log C e where KF ((mg g−1)(L mg−1)1/n) is relating the biosorption capacity and 1/n is an empirical parameter relating the biosorption intensity. Values of n and KF for Cd(II) were calculated at different temperatures (298, 308 and 318 K) from the slope and intercept of log Ce vs. log qe and are presented in Table 2. The R2 values of Freundlich isotherm are greater than 0.969, but lower than 0.999, indicate that this model is unable to describe adequately the relationship between the amounts of Cd(II) adsorbed by the biomass and its equilibrium concentration in the solution. The values of KF are found to be increasing with increase in temperature suggesting that adsorption process is endothermic in nature. The values of n between 1 and 10 represent a favorable sorption.

The equilibrium data were examined by using Dubinin–Radushkevich isotherm (Dubinin and Radushkevich, 1947) in order to determine the nature of the biosorption process as physical or chemical. The D–R sorption isotherm is more general than the Langmuir isotherm as its derivation is not based on ideal assumptions such as equipotent of the sorption sites, absence of steric hindrance between sorbed and incoming particles and surface homogeneity on microscopic level. The linear presentation of D–R isotherm equation is expressed by (Dubinin and Radushkevich, 1947):

(11)
ln q e = ln q m - β ε 2 where qe is the amount of metal ions adsorbed per unit mass of biomass (mg g−1), qm is the maximum biosorption capacity (mg g−1), β is the activity coefficient related to biosorption mean free energy (mol2 kJ−2) and ɛ the Polanyi potential (ɛ = RT ln(1 + 1/Ce)), R and T are the universal gas constant (kJ mol−1 K−1) and the absolute temperature (K). The Dubinin–Radushkevich isotherm parameters for Cd(II) ions at three temperatures are listed in Table 2. E is related to the mean free energy of the sorption per mole of the sorbate (kJ mol−1), as follows:
(12)
E = 1 2 β
The biosorption mean free energy gives information about biosorption mechanism. If E value is between 1 and 8 kJ mol−1 the biosorption process corresponds to physical sorption and in the range 8-–6 kJ mol−1 for chemisorption (Chakravarty et al., 2010). Therefore the results in Table 2, indicate that the biosorption of Cd(II) on CCB beads might be following chemical ion-exchange mechanism.

Temkin isotherm (Temkin and Pyzhev, 1940) contains a factor that explicitly takes into account the adsorbent–adsorbate interactions. The heat of adsorption of all the molecules in the layer would decrease linearly with coverage due to adsorbent–adsorbate interactions. The adsorption is characterized by a uniform distribution of binding energies, up to some maximum binding energy. The linear form of the Temkin isotherm is expressed as:

(13)
q e = RT b T ln A + RT b T ln C e where RT/bT = B (J mol−1), which is the Temkin constant related to heat of sorption whereas AT (L g−1) is the equilibrium binding constant corresponding to the maximum binding energy. R (8.314 J mol−1 K−1) is the universal gas constant and T (K) is the absolute solution temperature. All the correlation coefficients, R2 values and the constants obtained from the four isotherm models applied for adsorption of Cd(II) on the CCB beads are summarized in Table 2. The Langmuir isotherm gave R2 values close to unity indicating that the adsorption of Cd(II) on the CCB beads which is best described by Langmuir model. CCB beads showed comparable biosorption capacity toward Cd(II) with previous literature results shown in Table 3.
Table 3 Comparison of maximum adsorption capacity (mg/g) of CCB beads for Cd(II) on different biosorbents from the literature.
Biosorbent Adsorption capacity Refs.
Chitosan crosslinked with epichlorohydrin-triphosphate 83.75 mg/g Laus and De Favere (2011).
Cross-linked magnetic Chitosan-phenylthiourea resin 120 mg/g Monier and Abdel-Latif (2012).
Thiourea-modified magnetic ion-imprinted chitosan/TiO2 composite 256.41 mg/g Chen et al. (2012).
Succinylated twice-mercerized sugarcane bagasse functionalized with triethylenetetramine (MMSCB) MMSCB-3 86.2 mg/g Leandro and Laurent (2009).
MMSCB-5 106.4 mg/g
Crosslinked chitosan/polyvinyl alcohol blend beads 142.9 mg/g Kumar et al. (2009).
Spray-dried chitosan loaded with reactive orange 16 90.3 mg/g Vasconcelos et al. (2009).
Xanthated chitosan 357.1 mg/g Sankararamakrishnan et al. (2007).
Chitosan/activated carbon composite 52.63 mg/g Hydari et al. (2012).
Chitosan/perlite 179.6 mg/g Hasan et al. (2006).
Chitosan coated cotton fiber 15.74 mg/g Zhang et al. (2008).
Composite chitosan biosorbent 108.7 mg/g Present study

3.7

3.7 Thermodynamic analysis

The thermodynamic parameters such as enthalpy change (Δ), the entropy change (Δ) and the Gibbs free energy change (Δ) for the sorption process were calculated from the variation of Langmuir constant (KL) with temperature (T) using well known relations,

(14)
Δ G 0 = - RT ln K L
(15)
Δ G 0 = Δ H 0 - T Δ S 0
(16)
ln K L = Δ S 0 R - Δ H 0 RT
where R is the universal gas constant (8.314 × 10−3 kJ mol−1 K−1) and KL is Langmuir constant. Enthalpy change due to adsorption of metal ions by CCB over the temperature range studied can be determined from the linear plots of ln KL against 1/T using the least squares analysis (Supplementary Figure 9). The values of Δ, Δ and Δ for sorption of Cd (II) by CCB at different temperatures (298–318 K), given in Supplementary Table 2, show that Δ is small and negative but decreases with increasing temperature. The negative values of Δ demonstrate the process to be spontaneous and positive values of Δ indicating that the process requires some energy input from the outside. Hence the process of the removal of Cd(II) on CCB is endothermic in nature. The positive value of Δ suggested the increase of randomness at the solid/solution interface during the biosorption of metal ions on CCB.

4

4 Conclusion

A composite chitosan biosorbent was prepared and used for the removal of Cd(II) from aqueous medium over a wide range of concentrations. The following conclusions are made based on the results of the present study:

  • The biosorbent was characterized by high temperature pyrolysis, porosimetry, Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM), Energy dispersive X-ray (EDAX) and X-ray diffraction analysis (XRD) techniques.

  • Biosorption of Cd(II) was found to increase with increase in contact time and initial concentration. When the adsorbent dosage increases, the equilibrium adsorption capacity (mg g−1) of CCBbeads gradually decreases, whereas the percent removal efficiency increases.

  • The experimental data are best correlated by pseudo-second-order kinetic model and Elovich equation rather than the pseudo-first-order kinetics. The results of the intraparticle diffusion model suggest that intraparticle diffusion is not the only rate controlling step.

  • Equilibrium data are fitted to Langmuir, Freundlich, Dubinin–Radushkevich and Temkin isotherm models and was found that the equilibrium data are best described by the Langmuir isotherm model. The maximum monolayer biosorption capacity is 108.7 mg g−1 at 318 K.

  • The thermodynamic results show the feasibility, spontaneous and endothermic nature of biosorption of Cd(II) onto CCB beads.

Based on the results, it can be concluded that the CCB is an effective biosorbent for the removal of Cd(II) from aqueous medium.

Acknowledgements

We are thankful to DST, New Delhi, India for the award of Women Scientist and the financial support of this research project, SR/WOS-A/CS/76/2011.

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Appendix A

Supplementary data

Supplementary data associated with this article can be found, in the online version, at http://dx.doi.org/10.1016/j.arabjc.2013.07.017.

Appendix A

Supplementary data

Supplementary data 1

Supplementary data 1 Supplementary tables and figures.

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