Research Article  Open Access
Md. Nasir Uddin, Md. Tariqul Islam, Sreejon Das, "A Novel Biosorbent, WaterHyacinth, Uptaking Methylene Blue from Aqueous Solution: Kinetics and Equilibrium Studies", International Journal of Chemical Engineering, vol. 2014, Article ID 819536, 13 pages, 2014. https://doi.org/10.1155/2014/819536
A Novel Biosorbent, WaterHyacinth, Uptaking Methylene Blue from Aqueous Solution: Kinetics and Equilibrium Studies
Abstract
The adsorption of MB dye from aqueous solution onto HCl acid treated waterhyacinth (HWH) was investigated by carried out batch sorption experiments. The effect of process parameters such as pH, adsorbent dosage, concentrations and contact time, and ionic strength were studied. Adsorption of MB onto HWH was found highly pH dependent and ionic strength shows negative impact on MB removal. To predict the biosorption isotherms and to determine the characteristic parameters for process design, Langmuir, Freundlich, Temkin, and Halsey isotherms models were utilized to equilibrium data. The adsorption kinetics was tested for pseudofirstorder (PFO), pseudosecondorder (PSO), intraparticle diffusion (IPD), and Bangham’s kinetic models. The Langmuir isotherm model showed the goodnessoffit among the tested models for equilibrium adsorption of MB over HWH and indicated the maximum adsorption capacity as 63.30 mg/g. Higher coefficient of determination () and better agreement between the qe (experimental) and (calculated) values predicted that PSO kinetic model showed the goodnessoffit for kinetic data along with rate constant , , and , respectively, for the studied concentration range. At the initial stage of adsorption, the overall rate of dye uptake was found to be dominated by external mass transfer, and afterwards, it is controlled by IPD mechanism.
1. Introduction
Adsorption is one of the most widely applied techniques for removal of certain classes of chemical pollutants from waters, especially those that are hardly demolished in traditional watertreatment plants [1]. Amongst the various industrial sectors, textile, tannery, and pharmaceutical industries are emitting significant volume of dyes and pigments into wastewater [2]. The adsorption process can be taken as an effective alternative for the pollutants uptake from waste water only when the adsorbent is inexpensive and does not need an additional pretreatment before its application [3].
The extent of pollutants uptake by aquatic plant has been extensively tested [4–6]. Waterhyacinth (WH), an aquatic plant, has received considerable attention because of its potential to remove pollutants, when used as a biological filtration system [7]. Malik [8] pointed out that the WH has tremendous survival capability in the presence of toxic pollutants and hence it should be able to be used effectively in heavy metals removal process, as well as other pollutants from polluted water. Many great efforts have demonstrated that WH can be used to adsorb a cationic dye (methylene blue, MB) [4], phenol [9], cadmium [5], copper [10], uranium (VI) [11], Victoria blue [12], crystal violet [13], and so forth, from aqueous solution.
Low et al. [12] have performed the biosorption of basic dyes (MB and Victoria blue) by WH roots at different operating conditions including pH, sorbent dosage, contact time, and initial concentrations. They showed that the rate constant for the sorption of methylene blue is controlled by pseudofirstorder (PFO) model while maximum rate constant was found per min for 100 mg/L of initial methylene blue concentration (IMBC). Finally, they pointed out that, with increasing IMBC (100–500 mg/L), the rate constant for intraparticle diffusion was also increased (0.082–1.554 ) and WH roots have a great potential as a biosorbent for basic dyes; however, this is less so for acidic dyes. Soni et al. [14] have studied the batch adsorption to remove the MB from an aqueous solution over WH roots powder at varying operating conditions such as pH, adsorbent dose, initial concentration of dye, and contact time. They have reported that maximum 95% removal of dye was attained at optimum experimental condition. Experimental equilibrium data were best correlated by both Langmuir and Freundlich isotherms and the maximum dye uptake was found to be 8.04 mg/g. The adsorption kinetic data are adequately fitted to the pseudosecondorder (PSO) kinetic model along with higher regression determination for all ranges of dye concentrations. Likewise, Kanawade and Gaikwad [15] described that the uptaking of MB from aqueous solution by using WH as an adsorbent depends on its initial concentration and contact time. They also noticed that adsorption of MB onto WH follows Langmuir isotherm model.
Kaur et al. [13] have used WH as a potential adsorbent to remove dye crystal violet (CV) from aqueous solutions under different experimental conditions corroborating that adsorption increases with increase in contact time, adsorbent dose, temperature, and pH. The experimental sorption data showed the goodnessoffit with PSO model along with higher correlation coefficients . A maximum adsorption capacity of 58.1 mg/g was achieved from experimental equilibrium data which highly fitted with Langmuir model that enables to describe the adsorptive behavior of the dye onto WH charcoal. Uddin et al. [9] have carried out the adsorption of phenol from aqueous solution by WH ash utilizing PFO and PSO models at varying experimental conditions such as contact time, phenol concentration, adsorbent dosage, and pH. They reported that the kinetic data followed closely the PSO model as compared with PFO model. On the other hand, Bhainsa and D’Souza [11] have conducted the uranium uptake by dried roots of WH and found that the adsorption was rapid and the WH could remove 54% of the initial uranium present within 4 min of contact time. With increasing initial uranium concentration, the specific metal ion uptake was decreased, while at higher dose of WH, the uptake rate was increased and reached a plateau beyond the concentration of 6 g/L. The process was favored at pH 56 and was least influenced by temperature.
In this study, the waste WH, after treatment with HCl acid, was used and evaluated as a possible biosorbent for the removal of a MB from aqueous solution. The pretreatment of WH biomass with HCl acids causes the loss of biomass weight by removing the lignin [16] and increases the surface area of the WH due to opening of the pore mouth of the WH adsorbent. The objectives of the present study are to determine the kinetic and equilibrium batch adsorption parameters for MB removal from aqueous solution and to predict the maximum possible adsorption capacity. The feasibility of HWH use as a potential adsorbent is also studied by using error functions.
2. Materials and Methods
2.1. Adsorbent Preparation
Live WH was collected from the local ponds. The collected WH were cleaned thoroughly with water for several times to eliminate earthy matter and all the soil particles followed by boiling in water for 30 min. Live WH consists of 9495% water and barely contains 50–60 g total solid per kilogram [17]. In the present study, the WH was subjected to washing and chemical treatment with hydrochloric acid (HCl) to remove lignin and soluble compounds. The WH was soaked in 0.1 M HCl for 20 min and again washed with distilled water. The WH was then dried in the oven, setting temperature in the range of 90–100°C for 8 hours. The dried WH was ground, and the powder was used as an adsorbent. Particle size of the adsorbent samples used for the experiments was in the range of m.
2.2. Methylene Blue
Methylene blue (C_{16}H_{18}N_{3}H_{2}O) was purchased from Merck and used without further purification. The stock solutions of MB were prepared in distilled water. All MB solutions used in this study were prepared by weighing and dissolving the required amounts of MB in distilled water.
2.3. Adsorption Kinetic Experiments
To study the effect of important parameters like pH, adsorbent mass, initial concentrations, and contact time on the adsorptive removal of MB, the kinetic adsorption experiments were carried out. The experimental procedure was as follows: several L MB solutions of known concentration, amount of the adsorbent (HWH), were taken in a L stopper plastic conical flask at desired pH. The MB solution was then agitated using a flash shaker at 500 osc/min constant oscillation rate. The temperature was controlled at °C with neutral pH of 6.9. Samples were withdrawn at time intervals and were centrifuged, and the residual MB concentration in solution was measured immediately using UV/VIS spectrophotometer (Shimadzu Model UV1601) at wavelength 662 nm. The amount of dye adsorbed was determined from the difference in concentration between samples withdrawn. The stirring was continued until the concentration of MB was constant. To investigate the effect of pH on dye removal was carried over a pH range of 1–11. The pH of zero point charge (pH_{pzc}) plays an important role in the adsorption process. The pH_{pzc} of WH adsorbent in the aqueous phase was determined by utilizing the titration method with different system pH values [18]. For this purpose, 50 mL of a 0.1 M potassium nitrate solution was taken in a 100 mL Erlenmeyer flask. A 0.1 g of adsorbent was added to the solution and agitated with a magnetic stirrer. The pH was then adjusted by the addition of aqueous solutions of HCl or NaOH (0.10 M). After half an hour contact time, the final pH was calculated and plotted against surface charge of the adsorbent. All the experiments were conducted in triplicate, and the average values were recorded.
2.4. Batch Equilibrium Studies
The batch equilibrium studies were carried out by adding 0.25 g HWH adsorbent to L MB solutions of different initial concentrations (50–250 mg/L) in flash shaker and agitating till the equilibrium was reached and uptake of the dye from the aqueous solution at equilibrium state was calculated by using the following equation: where (mg MB/g HWH adsorbent) is called adsorption capacity and defined as the amount of MB adsorbed per unit weight of adsorbent (HWH) at equilibrium state. and (mg/L) are the liquidphase concentrations of MB at initial and equilibrium states, respectively. The volume of the solution is (L) and is the mass of dry adsorbent used (g).
2.5. Batch Kinetic Studies
The procedures of kinetic experiments were basically identical to those of equilibrium tests. The effect of adsorbent dosage was investigated by contacting L dye solution of initial concentration of 100 mg/L with different HWH adsorbent dosage (0.5–3 g/L) till the equilibrium was achieved. Kinetics of adsorption was studied by analyzing adsorptive uptake of the dye from the aqueous solution at different time intervals and the amount of adsorption at time , (mg MB/g HWH adsorbent), was calculated by using the following equation: where and (mg/L) are the liquidphase concentrations of MB at initial and any time, respectively. The volume of the solution is (L) and is the mass of dry adsorbent used (g).
2.6. Fourier Transform Infrared Spectroscopy (FTIR)
Fourier transform infrared spectroscopy of the adsorbent was done by using an FTIR spectrophotometer (Model: FTIR 2000, Shimadzu, Kyoto, Japan). Spectra of the samples were recorded in the range from 500 to 4000 cm^{−1}. Approximately 3% of dry samples were taken to prepare about 150 mg KBr disks shortly before analysis of the FTIR spectra.
2.7. Effect of Ionic Strength on Adsorption
The effect of ionic strength on the amount of MB adsorbed by HWH was performed over the NaCl concentration range from 0 to 0.18 mol/L. MB solutions of 100 mg/L were agitated with 0.25 g/L of HWH for 4 hours.
3. Establishment of Adsorption Models
3.1. Adsorption Isotherm Models
The adsorption isotherm indicates how the adsorption molecules distribute between the liquid phase and the solid phase when the adsorption process reaches an equilibrium state. Langmuir isotherm [19] refers to homogeneous monolayer adsorption onto a surface containing a finite number of adsorption sites of uniform strategies of adsorption with no transmigration of adsorbate in the plane of surface. The linear equation in this model is represented as follows: Equation (3) is known as Langmuir isotherm where is the amount of adsorbate in the adsorbent at equilibrium (mg/g), is the equilibrium concentration (mg/L), and and are the Langmuir isotherm constants related to adsorption capacity and rate of adsorption, respectively. The above linearized equation can be fitted to get the maximum capacity, , by plotting a graph of versus .
To determine whether the MB adsorption process by HWH is favorable or unfavorable for the Langmuir type adsorption process, the isotherm shape can be classified by a term , a dimensionless constant separation factor, which is defined below: where is the dimensionless separation factor and is the initial solution concentration (mg/L). The parameter indicates the shape of the isotherm accordingly: unfavorable (when ), linear (when ), favorable (when ), and irreversible (when ). The calculated values at different initial MB concentration are plotted to determine the applicability of Langmuir isotherm.
The Freundlich isotherm [20] model is derived by assuming a heterogeneous surface of adsorption capacity and adsorption intensity with a nonuniform distribution of heat of adsorption. The wellknown linearized form of Freundlich isotherm can be written as where and are Freundlich constants related to adsorption capacity and adsorption intensity, respectively. The is equivalent to when equals unity. However, in other cases when , the value depends on the units upon which and are expressed. The ((mg/g) ) represents the quantity of dye adsorbed onto HWH for unit equilibrium concentration. A value for below one indicates a normal Langmuir isotherm while a value above one represents cooperative adsorption [21]. The plot of versus gave a straight line and predicts the value for Freundlich constants parameters.
Temkin and Pyzhev [22] pointed out that the heat of adsorption of all the molecules on the adsorbent surface layer would decrease linearly with coverage due to adsorbateadsorbate interactions. They pointed out that the heat of adsorption of all the molecules on the adsorbent surface layer would decrease linearly with coverage due to adsorbateadsorbate interactions. The linear form of this isotherm can be given by In (6), and are the Temkin isotherm constants. The constant is related to the heat of adsorption. A plot of versus enables one to determine the constants and .
The Halsey isotherm model [23] reported the multilayer adsorption and the fitting of the experimental data to this equation explains the heteroporous nature of the adsorbent. The Halsey model can be expressed as follows: According to (7), a plot of versus should give a straight line and the Halsey constants which are usually denoted by and can be determined from the plot.
3.2. Adsorption Kinetic Models
The kinetic behavior of MB removal by using HWH was studied to evaluate the rate of adsorbate uptake from aqueous solution, which controls the mechanism of dye adsorption. Several twoparameter kinetic models, namely, pseudofirstorder (PFO), pseudosecondorder (PSO), and intraparticle diffusion (IPD), are applied to evaluate the dynamics of the adsorption of MB from aqueous solution onto HWH. These models can be expressed as follows.
PFO model [24] is
PSO model [24] is
IPD model [25] is All of these models are widely used to determine the kinetics of adsorption process and convert the equation into a nonlinear form by transforming the kinetics variables. The difference between experimental data and theoretical data can be estimated from the curvature plots with regression coefficient (). Besides the value of , the suitability of kinetic models to narrate the adsorption process was further analyzed by using several statistical equations which read From (11), the number of data points, experimental adsorption capacities, and calculated adsorption capacities are represented by , , , respectively.
4. Results and Discussions
4.1. FTIR Analysis
WH is a natural fiber, which is primarily composed of cellulose, lignin, and wax. The FTIR spectrum of WH would therefore contain many bands at the different absorption regions. The WH FTIR spectrum cannot be accurately interpreted to identify its functional groups. It can, however, be used as one of the tools to differentiate the modified WH. Figure 1 shows a very complicated behavior of WH during the course of adsorption. Primarily, WH indicates band at 3390 cm^{−1} due to stretching frequency of –OH. A minor shift was noticed for the spectra results from aromatic ring from 1593 to 1598 cm^{−1}. This is likely because the interaction between carboxylic groups (–COO^{−}) and MB^{+} cations would be difficult due to proximity between aromatic rings of lignin moieties and MB The adsorption band for WH in the range between 1312 and 1005 cm^{−1} was shifted which reflects the stretching frequency of C–O of methoxy group (–OCH_{3}) of the aromatic ring of lignin. Through the electrostatic interaction, other hydroxyl and carboxyl groups such as phenolic and aliphatic extractives could participate in sorption of MB. Poots et al. [26] showed that carboxylic and hydroxyl groups were identified as the most important groups for sorption of MB. After adsorption, it is seen that the trends of C–O were altered from 1036 cm^{−1} to 1039.60 cm^{−1} It is obvious from Figure 1 that MB gave strong spectra at 1580 cm^{−1}, 1420 cm^{−1}, 1376 cm^{−1}, and 650.70 cm^{−1}, respectively.
4.2. Effect of pH on Adsorption
The interaction between dye molecule and adsorbent is basically a combined result of charges on dye molecules and the surface of the adsorbent [27]. Figure 2 shows that pH of the solution has significantly affected adsorption of MB on HWH. When the pH of dye solution was increased from 1.835 to 6.934, the adsorption capacity of MB increased from 8.87 to 50.41 mg/g. At pH range of 4.827 to 6.934, the uptake of dye increased very rapidly from 18 to 50.41 mg/g as shown in Figure 2. The HWH sorbent achieved its optimum adsorption capacity for MB at pH of 6.934. A decrease from 50.41 to 20.67 mg/g of adsorption capacity was observed in the pH range of 6.934–11. This fact may be explained from the solubilization of organic groups present on the HWH sorbent [18].
The adsorption of MB onto adsorbent surface is influenced by the surface charge on the sorbent and the initial pH of the solution [28]. The pH at the point of zero charge, pH_{pzc} value of HWH, was found to be 6.72, which is very close to neutral point (Figure 3). As the pH of the solution increases (when ), the surface of HWH may get negatively charged due to sorption of OH^{−}, and the sorption process is highly favored through electrostatic force of attraction. At pH 6.934, surface of HWH sorbent was negatively charged to its maximum number. Further addition in pH did not increase surface charge intensity as well as adsorption capability [29]. On the other hand, when , the HWH surface may get positively charged due to adsorption of the H^{+} and a force of repulsion occurs between the dye cation and the HWH sorbent surface. At low pH (<2) sorption was unfavorable, probably because of the excess H^{+} ions competing for sorption sites on the adsorbent making H^{+}dye^{+} exchange unattractive. Several investigations have reported that MB adsorption usually increases as the pH is increased [3, 30].
4.3. Effect of Adsorbent Dosage
Adsorbent dose is representing an important parameter due to its strong effect on the capacity of an adsorbent at given initial concentration of adsorbate. Effect of adsorbent dose on removal of MB was monitored by varying adsorbent doses from 0.50 to 3.0 gm/L. The adsorption of dye decreased with the adsorbent dose and the percentage of dye removal increased (24.20–96.80%) with increasing HWH adsorbent dosage from 0.50 to 3.0 gm/L [12]. At higher biomass to solute concentration ratio, there is a very fast superficial sorption onto the adsorbent surface that produces a lower solute concentration in the solution than when biomass to solute concentration ratio is lower. This is because a fixed mass of biomass can only adsorb a certain amount of dye. Therefore, the more the adsorbent dosage is, the larger the volume of effluent that a fixed mass of HWH can purify is [31]. Figure 4 shows the effect of HWH adsorbent dosage on adsorption capacity. It can be seen that from Figure 4 the adsorption capacity reduced from 181.50 to 30.25 mg/g when HWH adsorbent dosage increased from 0.50 to 3.0 gm/L. Similar results were reported by Patil et al. [32]. Many factors can be attributed to this adsorbent concentration effect. The most important factor is that adsorption site remains unsaturated during the adsorption reaction. This decrease in adsorption capacity with increase in adsorbent mass is mainly attributed by nonsaturation of the adsorption sites during the adsorption process [33]. Thus, the amount of dye adsorbed onto unit weight of adsorbent gets reduced causing a decrease in equilibrium adsorption capacity, (mg/g), with increasing adsorbent mass.
4.4. Effect of Initial MB Concentration and Contact Time
Figure 5 shows the effect of initial MB concentration, , on the kinetics of adsorption of the dye at pH (6.9), HWH dosage 0.25 g/L, and . It can be apparent from Figure 5 that adsorption capacity increased with increase in MB concentration. This indicates that the initial dye concentration plays an important role in determining the adsorption capacity of MB on HWH. This may be related to the solution state of MB at different concentrations. In the beginning of the adsorption process, the MB is adsorbed on the external surface of HWH particle, which increases the local concentration of MB on the surface and leads to the formation of MB aggregates. MB molecules are known to form dimers and aggregates, depending on the conditions of solution such as pH, concentration, and presence of other ions [34, 35]. MB aggregates can migrate from the external surface of HWH to the internal pores, resulting in deaggregation of the MB aggregates and restoring monomers. At high loading rates of MB, it is expected that agglomerates are predominant in solution, while monomers and dimers are virtually absent in the MBadsorbent complexes on the solid surface. As the MB concentrations increased from 50 to 150 mg/L, the experimental adsorption capacity for MB increased from 33 to 53.10 mg/g. It can be inferred from Figure 5 that the contact time needed to reach equilibrium with initial concentration was less than 2 hours. The surface of HWH contains a large number of active sites and MB uptake can be related to the active sites on equilibrium time [36]. It is also noticed from Figure 5 that more than 80% of the total amount of dye uptake was observable in the initial rapid phase and thereafter the sorption rate was found to decrease.
4.5. Effect of Ionic Strength
The extent of MB adsorption was sharply attributed by the concentration and nature of the electrolyte ionic species added to the dyebath [37]. The influence of common salt (NaCl) on the MB adsorption rate over HWH adsorbent is shown in Figure 6. Principally, the adsorption capacity decreases with an increase in ionic strength if electrostatic forces between the adsorbent surface and adsorbate ions are attractive. Likewise, the adsorption capacity increases with an increase in ionic strength if electrostatic interaction is repulsive [38, 39]. As seen in Figure 6 the adsorption capacity and removal percentage decreased in the presence of salt concentration. This is likely because of a competitive effect between MB ions and cations from the salt for the sites available for the adsorption process when salt concentration added in the MB solution; that is, the degree of adsorbing reduced as salt concentration increased. As seen in Figure 6, the dye sorption and removal percentage were decreased in the presence of salt concentrations (0 to 0.18 mol/L). The values of adsorption capacity reduced from 46.82 to 31.41 mg/g while removal percentage reduced from 93.91% to 85.1%. Moreover, the effective concentration of MB and available reaction sites decrease as the ionic strength increases; therefore, a decreasing characteristic in adsorption capacity of MB over the adsorbents is highlighted. However, HWH adsorbent still has larger removal percentage at 0.16 mol/L of salt concentration, and hence it could be used to efficiently remove MB from aqueous solution with higher salt concentration.
4.6. Adsorption Isotherms Studies
The wellestablished Langmuir isotherm suggests the presence of monolayer coverage of the adsorbate at the outer surface of the adsorbent; once an adsorbate molecule occupies a site, no further adsorption can take place at that site. The linearized equation (3) can be fitted to get the maximum capacity, , by plotting a graph of versus as shown in Figure 7 and it is found to be 63.30 mg/g. The isotherm parameters calculated from the linear relationship of versus are represented in Table 1. Several factors such as number of sites in the biosorbent material, the accessibility of the sites, the chemical state of the sites (i.e., availability), and the binding strength can be affected by the maximum capacity. The linear regression coefficient () is good agreement to reach unity (0.9938) for the studied concentrations. The applicability of Langmuir isotherm to describe the MB adsorption onto HWH surface can be viable from Figure 8.

From Figure 8 it was observed that sorption was found to be more favorable at higher concentrations. Also the value of in the range of 0 to 1 at all initial dye concentrations confirms the favorable uptake of the MB process. Also higher values at lower dye concentrations show that the adsorption is more favorable at lower dye concentrations.
According to (5), a plot of versus gave a straight line (Figure 9) and predicts the value for Freundlich constants parameters. The experimental results of indicated that the adsorption isotherms of MB adsorption on HWH followed normal Langmuir models [40]. Higher value of (21.22 (mg/g) (L/mg)^{1/n}) confirms the suitable dyeadsorbent interaction in the studied concentration range. Table 1 gives the values of parameters and correlation coefficient of the Freundlich equation. A lower value (0.9851) of Freundlich equation is indicating that the experimental data correlates well with Langmuir isotherm which reflects the monolayer adsorption. This may be explained from the complex nature of the sorbent material and its varied multiple active sites as well as irregular pattern of the experimental results. In addition, the higher value (4.737) of n is also confirming that the interaction between sorbent and solute molecules is expected to be strong.
The experimental equilibrium data for MB adsorption over HWH adsorbent, calculated from (1), is fitted with Temkin isotherm (6). A plot of versus should give a straight line (Figure 10) and enables one to determine the constants and . These constants are represented in Table 1. Higher value (9.4401) of indicates the endothermic nature of adsorption process. The value of the correlation coefficient () confirms that the adsorption of MB dyes onto HWH adsorbent provides better results than that of the Freundlich isotherm but less than that of Langmuir isotherm for the studied concentration range.
The Halsey isotherm model describes the multilayer adsorption and the fitting of the experimental data to this equation validates the heteroporous nature of the adsorbent. According to (7), a plot of versus should give a straight line (Figure 11) and the Halsey constants which are usually denoted by and can be determined from the plot. The evaluated parameters are represented in Table 1. Evidently, the regression coefficient values for Halsey and Freundlich isotherm models are similar (0.9851). This is indicative that the correlation of the experimental equilibrium data for MB removal onto HWH by Halsey model is in good agreement with Freundlich isotherm model.
4.7. Adsorption Kinetics Studies
The experimental kinetic data of MB, calculated from (2), were correlated by three kinetic models as stated above. The calculated parameters of the kinetic equations (8)–(10) with values at different IMBCs are presented in Table 2. It may be observed from Figure 12 that, as IMBC was increased, the sorption capacity was found to be increased. The experimentally observed adsorption capacity enhances from 33 to 53.10 mg/g as the IMBC increases from 50 to 150 mg/L. A possible reason may be that different IMBCs have different solution phases. In the early stage of the sorption process, MB generates aggregates. This is because the local concentration of MB onto the HWH surface enhanced due to MB uptake was found to be on the external surface of HWH adsorbent. Additionally, it is known that aggregates and dimers are generated from MB molecules but the formation environment depends on process variables such as pH, the presence of other ions, and concentration [34, 35]. Moreover, the migration of MB aggregates from the outer surface of the HWH adsorbent to interior pores leads to the disaggregation of MB aggregates and release of monomers. It is anticipated that the HWH adsorbent surface was virtually free of both monomers and dimers while agglomerates seem to dominate the dye solution when high concentration loading of MB was tested.

By analyzing the values, it may be seen from Table 2 that the PFO kinetic model was not appropriate for accurately describing the adsorption of MB onto HWH. It can also be observed from Figure 12 that the adsorption data did not show good fit by PFO equation (8) for all IMBCs. This is indicative of the fact that all studied concentrations deflect from theory from the initial stage of adsorption. As the IMBC increases, the difference between experimentally obtained values for adsorption capacity and calculated values from PFO model was increased in a way that the experimentally obtained values are higher than the calculated value. It is also confirmed from Table 2 that, for all studied concentrations, the PFO model shows a poor fit to the experimental data because the difference between experimental and calculated adsorptions is much higher.
The experimental kinetic data of MB were further validated by using PSO model of (9). In comparison to Figure 12, Figure 13 showed that the PSO model fits the experimental data better for the whole period of adsorption. It is also proved from Table 2 that the PSO model better represented the adsorption kinetics and there is good agreement between experimental and calculated adsorption capacity values. In comparison to PFO, the PSO model shows less NSD (values from 2.2246 to 5.2038), SSE (values from 2.6310 to 4.1585), and EABS (values from 1.3700 to 1.3942) values for all studied concentrations. It is meant to that the calculated value obtained from PSO model are closer to the experimental results than the calculated value obtained from PFO model.
It may be observed from Table 2 that the PSO reaction rate model adequately explains the kinetics of MB dye adsorption with a high correlation coefficient for all ranges of dye concentrations studied. Comparing the values for each studied concentration, it is observed from Table 2 that the PSO model provides the best fit with higher values (0.9963 to 0.9992) in comparison to the PFO model ( values from 0.8675 to 0.9073). This result suggests that, as the initial MB concentration increases (50–150 mg/L), the sorption capacity responds positively. As IMBC increases from 50 to 100 mg/L, the PSO rate constant, , increases from to ; however, with further increase in IMBC to 150 mg/L, the shows opposite trends and decreases to . A possible reason may be that different initial MB concentrations have different solution phases. In the early stage of the sorption process, MB generates aggregates. This is because the local concentration of MB onto the HWH surface is enhanced due to the contaminant uptake occurring on the external surfaces of the adsorbent. The higher values indicate that chemical reaction is the rate controlling step throughout the sorption process.
For a PSO type adsorption process it is necessary to investigate the kinetic curve’s characteristics by means of an approaching equilibrium factor value in order to determine whether the MB adsorption by HWH approaches equilibrium or not. The approaching equilibrium factor can be written as displayed in the following equations [41]: where , is known as an approaching equilibrium factor, is the longest operating time in an adsorption system, and is a dimensionless factor, respectively. A plot of versus should give a curvature for three values of as shown in Figure 14. The approaching equilibrium values for the PSO kinetic model are in Table 3.

The curvature of the adsorption curve decreases as increases. It may be clearly noticed from Figure 14 that the curvature of the adsorption process increases when while it decreases at a higher value of (i.e., 0.092). This may be attributed to the fact that the removal of MB from aqueous solution requires larger amounts of the HWH adsorbent [41]. It may be also apparent from Figure 14 that the characteristic adsorption curve approaches pseudoequilibrium in the range and this finding is consistent with the literature [42, 43]. The relationship between the operating time for the adsorption of MB by HWH and the extent of its adsorption is represented by this characteristic curve. Such results are very important for effective engineering design under practical scenarios.
Intraparticle diffusion (IPD) equation was used to study diffusion mechanism. Broadly speaking, the initial adsorption usually occurs on the adsorbent surface during batch experiments. Additionally, there is a high probability of the adsorbate to diffuse into the interior pores of the adsorbent and, hence, IPD emerges as the dominant process [44]. According to Weber and Morris [44] a plot of solute sorbed against the square root of the contact time should yield a straight line passing through the origin when the ratelimiting step is IPD controlled.
Thus the (mg/g min^{1/2}) value can be obtained from the slope of the plot of q (mg/g) versus (min^{1/2}). Theoretically, Figure 15 shows the plot of versus for methylene blue onto HWH particles. From Figure 15, it was observed that the sorption process tends to be followed by two phases. The two phases in the intraparticle diffusion plot suggest that the sorption process proceeds by surface sorption and intraparticle diffusion. The first incisive stage of the plot indicates a boundary layer effect while the second linear stage is due to intraparticle or pore diffusion. The slope of the second linear stage of the plot has been defined as the intraparticle diffusion parameter (mg/g min^{1/2}) while intercept is proportional to the boundary layer thickness. It is indicative of the fact that the larger the intercept value is, the greater the boundary layer effect is and, therefore, the greater the contribution of the surface sorption to the ratelimiting step is. The calculated intraparticle diffusion coefficient value was given by 0.7140, 0.1506, and 0.1040 for an IMBC of 50, 100, and 150 mg/L. It is also noted that the value of the intercept increases from 19.827 to 53.243 as the IMBC increases from 50 to 150 mg/L. The values (Table 2) for this model were lower compared to PSO model and show higher deviation between experimental and calculated values (higher NSD, SSE, and EABS values than those of PSO model).
As the double nature of intraparticle diffusion plot confirms the presence of both film and pore diffusion, in order to predict the actual slow step involved, the kinetic data were further analyzed using the Boyd kinetic expression. This kinetic expression predicts the actual slowest step involved in the sorption process for different sorbentsorbate systems. The linearized Boyd kinetic expression is given by [4] where is the fractional attainment of equilibrium at time and is a mathematical function of . The values at different contact times can be calculated using (13). The calculated values were plotted against time as shown in Figure 16. Figure 16 is used to identify whether external transport or intraparticle transport controls the rate of sorption [4]. From Figure 16, it was observed that the plots were linear but do not pass through the origin, confirming that, for the studied initial dye concentration, external mass transport mainly governs the sorption process [4]. The calculated values were used to calculate the effective diffusion coefficient, (m^{2}/s), using the relationship where represents the radius of the particle calculated by sieve analysis and by assuming spherical particles. The values were found to be , , and m^{2}/s for an IMBC of 50, 100, and 150 mg/L, respectively.
To correlate the experimental findings evidently, sorption data were further utilized to identify the slow step occurring in the present adsorption system based on the equation proposed by Aharoni et al. [45]: As such linear plot of versus (Figure 17) should give the explanation about the diffusion of adsorbate into pores of adsorbents is not the only ratecontrolling step [46]. The film and pore diffusion both were important to different extents in the removal process. In (15), and are Bangham’s constants while is found to be 0.2891, 0.2044, and 0.2457, respectively, as the initial methylene blue concentration increases from 50 to 100 mg/L. It can be seen that, with IMBC, the values of increase from 0.06816 to 0.0837 g, and with further increase of IMBC, values (0.050 g) show opposite trends. This statement supports the decrease in adsorption capacity with increase in adsorbent mass that is; mainly attributed from the nonsaturation of the adsorption sites of WHW adsorbents during the adsorption process. Therefore, Bangham’s equation cannot explain the MB adsorption process onto HWH adsorbent sufficiently because the linear regression coefficient values (0.8635, 0.7234, and 0.6845, resp., for studied concentration of 50, 100, and 150 mg/L) are far away from the unity and this tendency increases with IMBC.
5. Conclusions
The present study shows that the HCl acid treated waterhyacinth (HWH) can be used as an adsorbent for the removal of MB from its aqueous solutions. Upon comparing all the isotherm models, the isotherm results predicted by the Langmuir model coincide with the experimental values with a high correlation coefficient. The equilibrium data fitted very well in a Langmuir isotherm equation, confirming the monolayer sorption of MB onto HWH with a monolayer sorption capacity of 63.30 mg/g. However, Freundlich, Temkin, and Halsey isotherm model equations were used to express the adsorption phenomenon of MB. The kinetics of MB adsorption onto HWH was examined using PFO, PSO, IPD, and Bangham’s kinetic model. As is evident from the adsorption profiles the PSO equations provide a best fit description for the sorption of MB onto the HWH adsorbent amongst several kinetic models, due to its high correlation coefficient. The adsorption of MB via the HWH adsorbent may be controlled by external mass transfer followed by IPD.
Nomenclature
:  Adsorption capacity at equilibrium (mg/g) 
:  Adsorption capacity at time (mg/g) 
:  Approaching equilibrium factor 
and :  Bangham’s constants 
:  Concentration of solution at time (mg/L) 
:  Cooperative binding constant 
:  Dimensionless factor 
:  Dimensionless separation factor 
:  Effective diffusion coefficient (/s) 
:  Equilibrium MB concentration (mg/L) 
:  Freundlich constants related to adsorption capacity 
:  Freundlich constants related to adsorption intensity 
:  Generalized isotherm constants (mg/L) 
:  Halsey isotherm constant 
:  Halsey isotherm constant (L/g) 
HWH:  Hydrochloric acid treated WH 
:  Initial MB concentration (mg/L) 
IPD:  Intraparticle diffusion coefficient 
:  IPD rate constant 
:  Langmuir isotherm constants (L/mg) 
:  Mass of dry adsorbent (g) 
:  Mathematical function of 
:  Maximum adsorption capacity (mg/g) 
MB:  Methylene blue 
NSD:  Normalized standard deviation 
:  Number of data points 
:  PFO rate constant 
pH_{Pzc}:  pH at the point of zero charge 
PFO:  Pseudofirstorder kinetic model 
PSO:  Pseudosecondorder kinetic model 
:  PSO rate constant 
:  Regression coefficient 
EABS:  Sum of absolute errors 
SSE:  Sum of the errors squared 
:  Temkin constant related to heat of adsorption 
:  Temkin isotherm constants (L/mg) 
:  Volume of solution (L) 
WH:  Waterhyacinth. 
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
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Copyright
Copyright © 2014 Md. Nasir Uddin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.