Home Physical Sciences Sesbania sesban L. biomass as a novel adsorbent for removal of Pb(II) ions from aqueous solution: non-linear and error analysis
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Sesbania sesban L. biomass as a novel adsorbent for removal of Pb(II) ions from aqueous solution: non-linear and error analysis

  • Ali Hashem

    Ali Hashem Mohamed obtained his BSc degree in Chemistry in 1983 (Faculty of Science, Assiut University), his MSc degree in Organic Chemistry in 1989 (Faculty of Science, Zagazig University, Egypt, 1989) and his PhD in Organic Chemistry in 1993 (Faculty of Science, Cairo University, Cairo, Egypt). He was then appointed as a Researcher in the Department of Pretreatment and Finishing of Cellulose Based Textiles, Textile Research Division, National Research Centre, Egypt. At the same Department, he was promoted as an Associate Professor in 2001 and as a Full Professor in 2006. In 2008, he started working as a Foreign Professor at the Textile Engineering Department, Mehran University, Pakistan, for one year. Currently, he works as a Professor of Organic Chemistry at Shaqra University, Saudi Arabia. His main research interests include cellulose and carbohydrate chemistry, adsorption chemistry and wastewater treatment, polymer chemistry, and color chemistry. He has (co-)authored about 60 peer-reviewed publications.

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    and Sayed M. Badawy

    Sayed M. Badawy, studied Chemistry at Cairo University and obtained his PhD in Physical Chemistry in 2001. He has been employed as a fellow of chemistry at Cairo University since 2008. Currently, he works as an Assistant Professor of Physical Chemistry at Aljouf University. His major research interests include polymer and environmental chemistry. He is the author or co-author of about 20 peer-reviewed publications.

Published/Copyright: April 24, 2015
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Abstract

In the present study, we reported the feasibility of the Sesbania sesban L. as a biosorbent to remove Pb(II) from aqueous solutions. The ability of S. sesban L. to adsorb Pb(II) was investigated by using batch adsorption procedure. Such effects as pH, contact time, adsorbate concentration, and biosorbent dosage on the adsorption capacity were studied. The experimental data were analyzed using various adsorption kinetic models, namely, pseudo-first-order model, the pseudo-second-order model, Batacharia-Venkobachar, the Elovich equation, the intraparticle diffusion model, and Bangham equation. Results show that the pseudo-second-order equation provides the best correlation for the biosorption process. To determine the best fit isotherm, the experimental equilibrium data were analyzed using two-parameter (Langmuir, Freundlich, Dubinin-Radushkevich, and Tempkin) and three-parameter isotherms (Redlich-Peterson, Sips, Khan, and Toth). The examination of error analysis methods showed that the Langmuir isotherm model and Redlich-Peterson models provide the best fit for experimental data than other isotherms. Sebania sesban L. is found to be inexpensive and effective adsorbent for removal of Pb(II) from aqueous solutions.

1 Introduction

Heavy metals are found in the wastewater streams of industrial processes, including paint manufacture, leather tanning, battery manufacture, electroplating, plastics manufacturing, fertilizers, pigments, mining, and metallurgical processes and others. Their removal has attracted much practical and academic interest owing to increased concerns with their environmental impact [1]. The chemical methods used for the removal of metal ions from industrial effluents, such as precipitation, ion exchange and solvent extraction, have high chemical and energy requirements, hazardous sludge formation, and high cost requirements for large scale processing [2–4]. This has led to a search for cheaper adsorbents. With this aim in mind, numerous low-cost alternative adsorbents have been proposed, including ligno-cellulosic wastes and polysaccharide biopolymers, such as chitin and starch [5].

Agricultural by-products are mainly composed of cellulose and lignin, which are available in large quantities and constitute one of the most abundant renewable resources in the world. Lignin has polar functional groups, which include alcohols, aldehydes, ketones, carboxylic, phenolic, and ether groups. To some extent, these groups have the ability to bind heavy metals by donating an electron pair from these groups to form complexes with the metal ions in solution.

Agricultural by-products have been examined for potential use as inexpensive adsorbents for heavy metal removal [6–10]. The abundance and availability of Sesbania sesban L. residues as desert plants make them good candidates for incorporation as adsorbent of heavy metals from wastewater.

Pb(II) is a metal that can be considered an environmental concern. The problem of Pb(II) pollution due to use in lead service pipes, particularly with soft water was the first recognized form of metal pollution. Other sources of Pb(II) pollution are battery industry, autoexhaust, paints, etc. Major health effects due to Pb(II) poisoning are nervous and renal breakdown, weakness, headache, brain damage, convulsions, behavioral disorders and constipation [11]. Biosorption is defined as a process in which solids of natural origin are employed for the sequestration of heavy metals from an aqueous environment.

The aim of the present work is to explore the possibility of utilizing S. sesban L. for the adsorption of Pb(II) from contaminated water. The effects of such factors as pH, adsorbent dose, adsorbate concentration, contact time, and initial concentration were investigated. The kinetics of Pb(II) adsorption on the adsorbent was analyzed by fitting various kinetic biosorption isotherm models. Using biosorption isotherm models can help determine the best-fit isotherm equation that, in turn, can be used to optimize the design of biosorption system for the removal of lead utilizing S. sesban L. Experimental equilibrium data were fitted to two-parameter (Freundlich, Langmuir, Dubinin-Radushkevich, and Temkin), three-parameter (Redlich-Peterson, Sips, Khan, and Toth), four-parameter (Weber-van Vliet, Fritz-Schlunder, and Baudus) and five-parameter models (Fritz-Schlunder). Error analysis was carried out to test the adequacy and accuracy of the isotherm models.

2 Materials and methods

2.1 Materials

2.1.1 Adsorbent:

Sesbanias sesban L. is a desert plant obtained from Sabha in Libya. The residues of its fruity part were ground and passed through 50–150 μm sieves, washed with distilled water until the filtrate was colorless, washed with acetone, and then finally dried in an electric oven at 60°C for 3 h.

2.1.2 Reagents:

Lead(II) acetate, cadmium(II) acetate, nickel(II) acetate, mercury(II) acetate, zinc(II) acetate, EDTA, sodium carbonate, acetic acid, and acetone were all used as laboratory grade chemicals (Merck, Germany).

2.2 Methods

2.2.1 Adsorption studies:

A known volume (100 ml) of a Pb(II) ion solution with a concentration in the range 100–1000 mg/l was placed in a 125 ml Erlenmeyer flask. An accurately weighed sample of S. sesban L. adsorbent (0.05 g) with a particle size in the range 50–150 μm was then added to the solution. A series of such flasks was prepared; the pH values of the contents adjusted by the addition of 0.1 m HNO3 or 0.1 m Na2CO3 and then shaken at a constant speed of 150 rpm in a shaking water bath at 30°C for a known time length. At the end of the agitation time, the metal ion solutions were separated by filtration. Blank experiments were carried out simultaneously without the addition of the S. sesban L. adsorbent. The extent of metal ion adsorption onto the adsorbent was calculated mathematically by measuring the metal ion concentration before and after the adsorption through direct titration against the standard EDTA solution. The amount of Pb(II) adsorbed on S. sesban L. at equilibrium, q (mg/g), and percent removal of lead were calculated according to the following relationships:

(1)qe=(Co-Ce).V(l)W, (1)
(2)Percentremoval=Co-CeCo×100%, (2)

where Co and Ce are the initial and final concentrations of Pb(II), respectively, V is the volume of Pb(II) (l), and W is the weight of S. sesban L. adsorbent (g). The extent of Hg(II), Cd(II), Ni(II), and Zn(II) ion adsorption onto adsorbent was also measured by calculating the metal ion concentration before and after the adsorption through direct titration against the standard EDTA solution. All experiments were carried out in duplicate and the mean values of qe were reported. Microsoft Office Excel and Excel solver softwares were used for kinetic and modeling calculations.

2.3 Error analysis

In the single-component isotherm studies, the optimization procedure requires that an error function be defined to evaluate the fit of the isotherm to the experimental equilibrium data. The common error functions for determining the optimum isotherm parameters included the following: average relative error (ARE), sum of the squares of the errors (ERRSQ), hybrid fractional error function (HYBRID), Marquardt’s percent standard deviation (MPSD), and sum of absolute errors (EABS) [11]. In the present study, all error functions were used to determine the best fit in isotherm model. The expressions are provided below.

2.3.1 ARE:

(3)ARE=i=1n|(qe)exp.-(qe)calc.(qe)exp.|i (3)

2.3.2 APE:

(4)APE%=i=1N|[((qe)exp.-(qe)calc.)/qexp.|N×100 (4)

2.3.3 ERRSQ:

(5)ERRSQ=i=1n[(qe)calc.-(qe)exp.]2 (5)

2.3.4 HYBRID:

(6)Hybrid=100n-pi=1n[((qe)exp.(qe)calc.)2(qe)exp.]i (6)

2.3.5 MPSD:

(7)MPSD=1n-pi=1n[((qe)exp.-(qe)calc.)(qe)exp.]1002 (7)

2.3.6 EABS

(8)EABS=i=1n|(qe)exp.-(qe)calc.|i (8)

3 Results and discussion

3.1 Characterization of adsorbent (adsorption of metal cations)

The adsorption of Pb(II), Cd(II), Hg(II), Ni(II), and Zn(II) ions in the concentration of 400 mg/l by S. sesban L. biomass was carried out at pH 4, as shown in Table 1. The results indicate that the adsorption capability for these heavy metal ions is in the following order: Pb(II)>Cd(II)>Ni(II)>Hg(II)>Zn(II). Hence, the adsorption properties of Pb(II) were investigated in detail.

Table 1

Adsorption of different metal ions onto the S. sesban L. adsorbent at 30°C.

Metal cationsPercent removal (%)
Pb(II)98.3
Hg(II)37.6
Cd(II)88.5
Ni(II)72.4
Zn(II)19.1

Adsorption conditions: Metal ion concentration, 400 mg/l; pH, 4; adsorbent concentration, 0.5 g/l; contact time, 2 h; adsorption temperature, 30°C.

3.2 Factors affecting the adsorption of Pb(II) onto S. sesban L.

The biosorption process of heavy metals is influenced by several factors, such as pH, adsorbent dose, contact time, and adsorbate concentration. The effects of these parameters were investigated in this section.

3.2.1 Effect of pH

The pH of the aqueous solution is an important controlling parameter in the adsorption process [12]. In the present work, the adsorption of Pb(II) onto the S. sesbanL. adsorbent was studied over the pH range of 2–4.5 for a constant adsorbent dose and constant concentration of adsorbate at 30°C. As the pH of the adsorption medium decreases, the extent of adsorption capacity, qe, decreases (Figure 1). At high acidity, the S. sesban L. particle surface will be completely covered with H3O+ ions, and Pb(II) ions would be able to compete with them for adsorption sites. With the increase in pH, the competing effect of hydronium ion decreases and the positively charged Pb(II) ions would adsorb on the free binding sites of the adsorbents. This is a common observation for all cases of adsorption of metal cations on the solid surface in media of different acidity and basicity [13]. It is also significant that the active sites on the S. sesban L. are weakly acidic in nature and with increasing pH, they are gradually deprotonated making available more and more sites for metal ion uptake [14]. At a pH value that is more than 4.5, the adsorption studied could not be carried out because metal ion will precipitate as lead hydroxide in this range.

Figure 1: Effect of pH on the adsorption capacity of Pb(II) onto S. sesban L. at 30°C.[Adsorption conditions employed: Pb(II) ion concentration, 300 mg/l; adsorbent concentration, 0.3 g/l; agitation time, 2 h; adsorption temperature, 30°C; particle size, 50–150 μm.]
Figure 1:

Effect of pH on the adsorption capacity of Pb(II) onto S. sesban L. at 30°C.

[Adsorption conditions employed: Pb(II) ion concentration, 300 mg/l; adsorbent concentration, 0.3 g/l; agitation time, 2 h; adsorption temperature, 30°C; particle size, 50–150 μm.]

3.2.2 Effect of adsorbent concentration (adsorbent dose)

The effect of adsorbent dose on both the adsorption capacity and the percentage removal of Pb(II)ions onto S. sesban L. were studied at pH 4.5 employing adsorbent doses within the range of 0.3–10 g/l and at a fixed initial metal ion concentration of 200 mg/l (Figure 2). It is clear from this figure that the percent removal of Pb(II) increases from 15.3% to 99.2% by increasing the concentration of adsorbent from 0.3 to 10 g/l. On the one hand, the increase in percent removal of Pb(II) with increasing adsorbent concentration could be attributed to the greater availability of the exchangeable sites of the adsorbent. On the other hand, the adsorption capacity (qe), or the amount of Pb(II) adsorbed per unit mass of adsorbent (mg/g), decreases by increasing the concentration of adsorbent (Figure 2). The decrease in adsorption capacity with increasing adsorbent concentration is mainly due to the fact that the sorbent has high maximal adsorption capacity; furthermore, at tested Pb(II) concentration, when almost total and constant amount of Pb(II) is adsorbed, the adsorption capacity (qe) decreases.

Figure 2: Effect of sample dose on both adsorption capacity and % removal of Pb(II) onto S. sesban L. at 30°C.[Adsorption conditions employed: Pb(II) ion concentration, 300 mg/l; pH, 4.5; agitation time, 2 h; adsorption temperature, 30°C; particle size, 50–150 μm.]
Figure 2:

Effect of sample dose on both adsorption capacity and % removal of Pb(II) onto S. sesban L. at 30°C.

[Adsorption conditions employed: Pb(II) ion concentration, 300 mg/l; pH, 4.5; agitation time, 2 h; adsorption temperature, 30°C; particle size, 50–150 μm.]

3.2.3 Effect of contact time

Figure 3 shows the effect of agitation time at various initial adsorbate concentrations on the adsorption capacity of S. sesban L. towards Pb(II) ions. As can be seen, the adsorption capacity increased with increasing agitation time and initial concentration of the adsorbate, remaining virtually constant after equilibrium had been attained. The time necessary to achieve equilibrium increased with increasing adsorbate concentration, being 30 and 60 min for adsorbate concentrations of 246.6 and 474.2 mg/l, respectively. This contact time, which is one of the parameters for economical wastewater treatment plant operations, is very small.

Figure 3: Effect of contact time on adsorption capacity of Pb(II) onto S. sesban L. at 30°C.[Adsorption conditions employed: Pb(II) ion concentrations, 247, 474 mg/l; pH, 4.5; adsorbent concentration, 0.3 g/l; adsorption temperature, 30°C; particle size, 50–150 μm.]
Figure 3:

Effect of contact time on adsorption capacity of Pb(II) onto S. sesban L. at 30°C.

[Adsorption conditions employed: Pb(II) ion concentrations, 247, 474 mg/l; pH, 4.5; adsorbent concentration, 0.3 g/l; adsorption temperature, 30°C; particle size, 50–150 μm.]

3.2.4 Effect of adsorbate concentration

3.2.4.1 Adsorption isotherm

Adsorption isotherm describes how adsorbates interact with adsorbents are critical in optimizing the use of adsorbents. The amount of adsorbate per unit mass of adsorbent at equilibrium, qe (mg/g), and the adsorbate equilibrium concentration, Ce (mg/l), allows plotting the adsorption isotherm, qe vs. Ce (Figure 4) at 30°C; here, mathematical models can be used to describe and characterize the adsorption process. The most common isotherms for describing solid-liquid sorption systems are two-parameter isotherms (Langmuir, Freundlich, Temkin, and Dubinin) and three-parameter isotherms (Redlich-Peterson isotherms, Toth, Sips, Khan, and Hill). Therefore, in order to investigate the adsorption capacity of Pb(II) onto S. sesban L., the experimental data were fitted to these equilibrium models.

Figure 4: Equilibrium adsorption isotherm of Pb(II) onto S. sesban L. at 30°C.[Adsorption conditions employed: pH, 4.5; adsorbent concentration, 0.3 g/l; adsorption temperature, 30°C; agitation time, 2h; particle size, 50–150 μm.]
Figure 4:

Equilibrium adsorption isotherm of Pb(II) onto S. sesban L. at 30°C.

[Adsorption conditions employed: pH, 4.5; adsorbent concentration, 0.3 g/l; adsorption temperature, 30°C; agitation time, 2h; particle size, 50–150 μm.]

3.2.4.1.1 Two parameter isotherms

The Langmuir model: Langmuir equation [15] was applied for adsorption equilibrium of Pb(II) by S. sesban L. This model is based on the assumption that the maximum adsorption corresponds to a saturated monolayer of adsorbate molecules on the adsorbent surface, and that the energy of adsorption is constant because there is no transmigration of adsorbate in the plane surface. The nonlinear form of Langmuir isotherm is given by the following equation:

(9)qe=KL.Ce1+aL.Ce, (9)

where aL is Langmuir isotherm constant (l/mg), KL is the Langmuir constant (l/g), and kl/aL represents the adsorption capacity, qmax (mg/g).

The Freundlich model: The Freundlich model [16] is a special case applied to non-ideal adsorption on heterogeneous surfaces and to multilayer adsorption, suggesting that binding sites are not equivalent and/or independent. This model is described by Eq. 10 as follows:

(10)qe=KF.Ce1/n, (10)

where qe is the equilibrium concentration of Pb(II) on S. sesban L. adsorbent (mg/g), Ce is the equilibrium concentration of Pb(II)ions (mg/l), and KF (mg/g) and n are the Freundlich constant characteristic of the system, which are the indicators of adsorption capacity and adsorption intensity, respectively.

The Temkin model: The Temkin isotherm [17] has been used in the following form:

(11)qe=RTbTln(ATCe), (11)

where R is the universal gas constant (8.31441 J-1.mol-1.K-1), T is the absolute temperature (K), AT is the Temkin isotherm constant (g/mg), and bT is the Temkin constant.

Dubinin-Radushkevich model: This isotherm [18] is generally expressed as follows:

(12)qe=qD.exp(-BD[RTln(1+1Ce)]2) (12)

Dubinin-Radushkevich have reported that the characteristic sorption curve is related to the porous structure of the sorbent. The constant, BD is, related to the mean free energy of sorption per mole of the sorbate as it is transferred to the surface of the solid from infinite distance in the solution. This energy can be computed using the following relationship by Hasany and Chaudhary [19]:

(13)E=12BD. (13)
3.2.4.1.2 Three-parameter isotherms

Redlich-Peterson model: The Redlich-Peterson model is used as a compromise between the Langmuir and Freundlich models, and is written as follows [20]:

(14)qe=ACe1+BCeg, (14)

where qe is the amount of lead adsorbed (mg/g) at equilibrium, Ce(mg/l) is the concentration of adsorbate at equilibrium, and A (L/g) and B are the Redlich constants and gis exponent, respectively, which lie between 1 and 0.

Toth model: The Toth isotherm model [21] is useful in describing heterogeneous adsorption systems, which satisfy both the low and high-end boundaries of the concentration [22]. It can be represented by the following equation:

(15)qe=KtCe(at+Ce)1/t, (15)

where Kt, at, and t are the Toth isotherm constants.

Sips model: Sips isotherm [23] is a combined form of Langmuir and Freundlich expressions deduced for predicting the heterogeneous adsorption systems [24], and circumventing the limitation of the rising adsorbate concentration associated with the Freundlich isotherm model. The Sips model can be represented by the following equation:

(16)qe=KsCeBs1+asCeBs, (16)

where Ks is the Sips model isotherm constant (L/g), as is the Sips model constant (L/mg), and Bs is the Sips model exponent. At low sorbate concentrations, it effectively reduces to the Freundlich isotherm and does not obey Henry’s law.

Khan model: Khan isotherm [25] is a generalized model suggested for the pure solutions, in which bK and aK are devoted to the model constant and model exponent, respectively. The Khan isotherm model can be represented as follows:

(17)qe=qk.bK.Ce(1+bK.Ce)aK, (17)

where bk is the Khan model constant, ak is the Khan model exponent, and qk is the maximum uptake (mg/g). The maximum adsorption capacity, qmax, is considered to be the most important parameter for the comparison of adsorbents. The adsorption capacity values for Pb(II) obtained from the Langmuir isotherm model was found to be 303.03 mg/g. In comparison with other adsorbents reported in the literature for adsorption of Pb(II), the S. sesban L. biomass had a better affinity for removal of Pb(II) ions [2].

3.3 Error analysis and the non-linear regression method

In the nonlinear regression method, the validity of the widely used isotherm models to the experimental data was examined by trial-and-error using the solver add-in with Microsoft Excel. The R2 value is used to minimize the error distribution between the experimental equilibrium data and the predicted isotherms.

The fitting presentation of two and three parameter models are shown in Figures 5 and 6. The constants and error analysis of the two- and three-parameter models are given in Tables 2 and 3.

Figure 5: Comparison of two-parameter isotherm models with experimental data of Pb(II) onto S. sesban L. at 30°C.
Figure 5:

Comparison of two-parameter isotherm models with experimental data of Pb(II) onto S. sesban L. at 30°C.

Figure 6: Comparison of three-parameter isotherm models with experimental data of Pb(II) onto S. sesban L. at 30°C.
Figure 6:

Comparison of three-parameter isotherm models with experimental data of Pb(II) onto S. sesban L. at 30°C.

Table 2

Constants and error analysis of two-parameter models for adsorption of Pb(II) onto S. sesban L. at 30°C.

Isotherm modelParameterValueError analysisValue
LangmuiraL0.003643ARE0.081949
APE%3.582562
kL1.083313EABS9.827173
ERRSQ54.5608683
R20.9993Hybrid7.289455
MPSD0.928260979
Freundlich1/n0.457034ARE0.44113
APE%6.301855
kF11.00562EABS66.09527
ERRSQ877.0452465
R20.9932Hybrid111.1068
MPSD0.952659911
TempkinAT0.030577ARE0.284302
APE%4.061461
bT0.354287EABS42.37424
ERRSQ533.0907543
R20.9985Hybrid78.48461556
MPSD0.950333168
Dubinin-RadushkevichqD254.5765ARE0.376264
APE%5.375206
BD2.6860806EABS44.856802
ERRSQ691.1824974
R20.9986Hybrid99.48582
MPSD0.953737
Table 3

Constants and error analysis of three-parameter models for adsorption of Pb(II) onto S. sesban L. at 30°C.

Isotherm modelParameterValueError analysisValue
Redlich-PetersonA1.300678ARE0.276685114
APE%3.952644
B0.012595EABS43.8983
ERRSQ499.5646306
G0.84573534Hybrid54.47489934
MPSD0.945917
R20.9978
Tothkt11.48352ARE0.35602695
APE%5.086099
at32.83996EABS62.11466714
ERRSQ962.905
1/t0.541661964Hybrid85.95346521
MPSD0.94817191
R20.9967
SipsKs3.819127ARE3.08E-01
APE%4.394151
as0.007387EABS51.36080064
ERRSQ6.14E+02
Bs0.701091Hybrid5.98E+01
MPSD9.46E-01
R20.9968
Khanqk8.11541ARE0.415353
APE%5.93361
ak0.526693EABS65.51011
ERRSQ883.0889
bk1.530914Hybrid86.105277
MPSD0.949273
R20.9941

Among the two- and three-parameter models, the highest R2 value and lowest ARE, APE%, EABS, ERRSQ, MPSD, and Hybrid values are observed with the Langmuir (two-parameter) followed by Redlich-Peterson (three-parameter) models, indicating that they have better fit than the rest of the isotherm models.

3.4 Kinetics of adsorption

Six kinetic models, namely, the pseudo-first-order, Bhattacharya-Venkobachar, pseudo-second-order, Bangham, intraparticle diffusion and Elovich models, were used to investigate the adsorption process of Pb(II) on S. sesban L.

3.4.1 Pseudo-first-order model

The pseudo-first-order equation [26] is given by the following:

(18)dqtdt=k1(qe-qt), (18)

where qt is the amount of adsorbate adsorbed at time t (mg/g), qe is the adsorption capacity at equilibrium (mg/g), k is the pseudo-first-order rate constant (min-1), and t is the contact time (min). By integrating Eq. (18) with the initial condition, qt=0 at t=0, the following equation is obtained:

(19)log(qe-qt)=logqe-k.t2.303. (19)

In order to obtain the rate constants, the straight line plot of log(qe-qt) against t for Pb(II) onto Sesbania sesban L. was tested. The intercept of this plot should give logqe. However, if the intercept is not equal to qe, the reaction is not likely to be first order even if this plot has high correlation coefficient (R2) with the experimental data [27]. For the data obtained in the present study, the plots of log(qe-qt) vs. t as required by Eq. 19 for the adsorption of Pb(II) at initial concentrations of 246.6 and 474.2 mg/l by S. sesban L. (figure not shown) give correlation coefficients, R2, with low values. This indicates that the adsorption of Pb(II) onto S. sesban L. is not acceptable for this model.

3.4.2 Bhattacharya-Venkobachar model

The Bhattacharya-Venkobachar [28] equation is expressed as

(20)log[1-Ut]=-(k2.303)tWhereUt=[(Co-Ct)/(Co-Ce)] (20)

where Co, Ct, and Ce are the concentrations of Pb(II) (mg/l) at time zero, time t and at equilibrium time, and k is the first order rate constant (min-1) for adsorption of Pb(II) onto S. sesban L. The R2 values for the concentrations of 246.6 and 474.2 mg/l (figure not shown) are very low, indicating that the adsorption of Pb(II) onto S. sesban L. is not acceptable for this model.

3.4.3 Pseudo-second-order model

The pseudo-second-order model [27] is represented as follows:

(21)dqtdt=k2(qe-qt)2, (21)

where k2 is the pseudo-second-order rate constant (g/mg.min). By integrating Eq. (21) with the initial condition, qt=0 at t=0, the following equation is obtained:

(22)tqt=1(k2.qe)2+tqet, (22)

where k2 is the pseudo-second-order adsorption rate constant. This equation predicts that if the system follows pseudo-second-order kinetics, the plot of t/qe vs. t should be linear. Plotting the experimental data obtained for the adsorption of Pb(II)at initial concentrations of 246.6 and 474.2 mg/l onto S. sesban L. according to the relationship given in Eq. (22) gives linear plots. The correlation coefficient values, R2, are 0.977 and 0.999 for the initial concentrations of 246.6 and 474.2 mg/l, respectively (Figure 7 and Table 4), indicating the applicability of the pseudo-second-order kinetic equation to the experimental data. Given that the first-order and pseudo-second-order models cannot identify the diffusion mechanism, the kinetic results were then subjected to analysis using the intra-particle diffusion model.

Figure 7: Pseudo-second order reaction of Pb(II) onto S. sesban L. at 30°C.
Figure 7:

Pseudo-second order reaction of Pb(II) onto S. sesban L. at 30°C.

Table 4

Kinetic parameters for the adsorption of Pb(II) onto S. sesban L. at 30°C.

ParametersModelsValues
(247 mg/l)(474 mg/l)
k1Pseudo-first order------
R2------
k1Bhattacharya-Venkobacher------
R2------
k1Pseudo-second order2.58x10-45.17x10-4
qe(Exp.)214.954354.041
qe (Calc.)256.41370.37
R20.97690.9992
KoBangham’s equation------
α------
R2------
KPIntra-particle diffusion6.04875.0876
C153.3300.5
R20.94840.9897
αElovich equation------
α------
R2------
R2------

3.4.4 Bangham model

Bangham’s equation [29] was employed for applicability of adsorption of Pb(II) onto S. sesban L., whether the adsorption process is diffusion controlled. This is expressed as follows:

(23)loglog(CoCo-q.m)=log(kom2.303V)+αlogt, (23)

where Co is initial concentration of adsorbate (mg/l), V is the volume of metal ion (ml), m is the weight of adsorbent used per liter of solution (g/l), q is the amount of adsorbate retained at time t (mg/g), and α(≺1) and k0 are constants. The double logarithmic plot, according to Eq. 23, yields satisfactory linear curves for the adsorption of Pb(II) by S. sesban L. The R2 values of 246.6 and 474.2 mg/l (figure not shown) are very low, indicating that the adsorption of Pb(II) onto S. sesban L. is not acceptable for this model.

3.4.5 Intra-particle diffusion

The intra-particle diffusion model [30] can be expressed by the following equation:

(24)qt=kP.t+12C, (24)

where kp is the intra-particle diffusion rate constant (mg. g-1.min-1/2), and qt is the amount of solute adsorbed per unit mass of adsorbent. The data of solid phase metal concentration against time t at the initial concentrations of 246.6 and 474.2 mg/l of Pb(II) were further processed in order to test the rate of diffusion in the adsorption process. Adsorption process incorporates the transport of adsorbate from the bulk solution to the interior surface of the pores in S. sesban L. The rate parameter for intra-particle diffusion, kp, for the Pb(II)on S. sesban L. is measured according to Eq. 24. The plots of qt vs. t1/2for the Pb(II) concentrations of 246.6 and 474.2 mg/l is shown in Figure 8. As can be seen, the plot is curved at the initial portion followed by linear portion and plateau. The initial curved portion is attributed to the bulk diffusion and the linear portion to the intra-particle diffusion, while the plateau corresponds to the equilibrium. The deviation of straight lines from the origin (Figure 9) may be attributed to the difference between the rate of mass transfer in the initial and final stages of adsorption. Further, such deviation of straight line from the origin indicates that the pore diffusion is not the rate-controlling step [31]. The values of kp (mg. g-1.min-1) obtained from the slope of the straight line (Figure 9) are listed in Table 4. The R2 value for the initial concentrations of 246.6 and 474.2 mg/l are listed in Table 4. The value of intercept, C (Table 4), gives an idea about the boundary layer thickness, i.e., the larger the intercept, the greater the boundary layer effect [32]. This value indicates that the adsorption of Pb(II) onto S. sesban L. is acceptable for intra-particle diffusion mechanism.

Figure 8: Intra-particle diffusion of Pb(II) onto S. sesban L. at concentrations of 246.5645 and 474.1625 mg/L.
Figure 8:

Intra-particle diffusion of Pb(II) onto S. sesban L. at concentrations of 246.5645 and 474.1625 mg/L.

Figure 9: Test of intra-particle diffusion of Pb(II) onto Sesbania sesban L at concentrations of 246.5645 and 474.1625 mg/l.
Figure 9:

Test of intra-particle diffusion of Pb(II) onto Sesbania sesban L at concentrations of 246.5645 and 474.1625 mg/l.

3.4.6 Elovich equation

The Elovich model equation [33] is generally expressed as follows:

(25)dqtdt=αexp(-β.qt), (25)

where α is the initial adsorption rate (mg/g.min), and β is the adsorption constant (g/mg) during the experiment. To simplify the Elovich equation, Chien and Clayton [33] assumed αβ≻≻1; by applying the boundary conditions q=0 at t=0 and qt=qt at t=t, Eq. 25 becomes

(26)qt=1βln(αβ)+1βln(t). (26)

If Pb(II) adsorption onto S. sesban L. fits the Elovih model, a plot of qe vs. ln(t) should yield a linear relationship with a slope of 1/β and an intercept of 1/βln(αβ). Figure 10 shows a plot of the linearization form of Elovich model at the Pb(II) concentrations of 246.6 and 474.2 mg/l. The slope and intercept of the plots of qt vs. ln(t) were used to determine the constant β and the initial adsorption rate α. The R2 values for the concentrations of 246.6 and 474.2 mg/l are listed in Table 4. The correlation coefficient values for the Elovich kinetic model obtained at the Pb(II) concentration of 246.6 and 474.2 mg/l are below 0.87, indicating that the adsorption of Pb(II) onto S. sesban L. is not acceptable for this model.

Figure 10: Elovich model of Pb(II) onto S. sesban L. at 30°C.
Figure 10:

Elovich model of Pb(II) onto S. sesban L. at 30°C.

3.5 Mechanism of adsorption

The adsorbent material, S. sesban L. biomass can be considered a microporous biopolymer; therefore, pores are large enough to let Pb(II) ions through. The mechanism of Pb(II) adsorption on porous adsorbents may involve the following four steps: (i) diffusion of ions to the external surface of bio-adsorbent, (ii) diffusion of ions into the pores of the bio-adsorbent, (iii) adsorption of the lead ions on the internal surface of the bio-adsorbent, and (iv) interaction between the anionic groups in bioadsorbent (-COOH groups) and the cations in the solution. The anionic nature of S. sesban L. plays the key role in the adsorption process. The negatively charged surfaces of the biomass attract the oppositely charged lead cations and bring about stronger complexation.

4 Conclusions

Sesbania sesban L. has been utilized as adsorbent material for the removal of Pb(II) from contaminated water. The ability of S. sesban L. to adsorb Pb(II) was investigated by using batch adsorption procedure. The data of the adsorption isotherm were tested using two-parameter models (Langmuir, Freundlich, Temkin, and Dubinin) and three-parameter models (Redlich-Peterson, Toth, Sips, and Khan) using non-linear regression technique. The best fitting model was first evaluated using six different error functions. The examination of all these error estimation methods showed that the Langmuir isotherm model and Redlich-Peterson models provide the best fit for experimental data than other isotherms. The kinetics of adsorption of Pb(II) have been discussed using six kinetic models, i.e., the pseudo-first-order model, the pseudo-second-order model, Batacharia, the Elovich equation, the intraparticle diffusion model, and Bangham equation. The adsorption of Pb(II) onto S. sesban L. could be well described by the pseudo-second-order kinetic model.


Corresponding author: Ali Hashem, National Research Center, Textile Research Division, Cairo, Egypt; and Faculty of Science and Arts at Shaqra, Shaqra University, Shaqra, KSA, e-mail:

About the authors

Ali Hashem

Ali Hashem Mohamed obtained his BSc degree in Chemistry in 1983 (Faculty of Science, Assiut University), his MSc degree in Organic Chemistry in 1989 (Faculty of Science, Zagazig University, Egypt, 1989) and his PhD in Organic Chemistry in 1993 (Faculty of Science, Cairo University, Cairo, Egypt). He was then appointed as a Researcher in the Department of Pretreatment and Finishing of Cellulose Based Textiles, Textile Research Division, National Research Centre, Egypt. At the same Department, he was promoted as an Associate Professor in 2001 and as a Full Professor in 2006. In 2008, he started working as a Foreign Professor at the Textile Engineering Department, Mehran University, Pakistan, for one year. Currently, he works as a Professor of Organic Chemistry at Shaqra University, Saudi Arabia. His main research interests include cellulose and carbohydrate chemistry, adsorption chemistry and wastewater treatment, polymer chemistry, and color chemistry. He has (co-)authored about 60 peer-reviewed publications.

Sayed M. Badawy

Sayed M. Badawy, studied Chemistry at Cairo University and obtained his PhD in Physical Chemistry in 2001. He has been employed as a fellow of chemistry at Cairo University since 2008. Currently, he works as an Assistant Professor of Physical Chemistry at Aljouf University. His major research interests include polymer and environmental chemistry. He is the author or co-author of about 20 peer-reviewed publications.

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Received: 2014-12-10
Accepted: 2015-3-10
Published Online: 2015-4-24
Published in Print: 2015-6-1

©2015 by De Gruyter

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