Received 25 February 2016; accepted 26 March 2016; published 29 March 2016
In recent years, the separation and upgrading rare earth elements with an increased demand for these elements and their compounds are important. The most important uses of this element include controllers of nuclear reactors, production of radiopharmaceuticals, construction of petrochemical catalysts, colored glass, aluminum and steel industries, laser industry, glass that absorbs infrared wavelengths, refining crude oil, production of superconductors and super magnets, chips and computer hard disks, colored bulbs, etc.   .
Extraction and separation of lanthanides from each other due to their very similar physical and chemical properties are considered as a challenge. Thus, it is necessary to provide a method that makes the separation of their selection easy   . Solvent extraction and ion exchange are the most important method of extraction and recovery of lanthanides. The use of the above methods is not cost-effective due to a series of technical limitations and high cost of organic solvents. Therefore, it is necessary to search for new methods and biosorption is considered as a new option in this regard  .
Biosorption is process leading to the separation of metals from aquatic environment using biological materials such as bacteria, fungi, algae and agricultural waste through the creation of complex by toxic elements due to specific groups. The mechanism of biosorption is usually related to chemical bonding between groups of adsorbent surface and metal ions or ion exchange due to ion exchange capacity of the adsorbent. Forasmuch as this process is low-cost, eco-friendly and has a high performance adsorption, it is considered as an efficient alternative to traditional methods for eliminating toxic elements  . That is why in recent years the use of byproducts and agricultural waste such as bark of trees, sawdust, pistachio bark, almond shell, rice and wheat bran, corn residue, etc. have been developed due to cellulosic materials, carbon, and silica in their chemical structure to absorb rare earth elements from water and wastewater  .
Biological materials are abundant are available on the one hand, and they are not used certainly on the other hand. Activated carbon as an adsorbent with high adsorption capacity and low price has many uses in the processes of adsorption from the liquid or gas phase. The production of activated carbon is possible using two methods of physical and chemical activation   . The purpose of activation is creating a porous structure of carbon with high free in the raw material  . In this study, rice straw is used in a chemical activation method considered as a single-stage method for the production of activated carbon. Thus, raw material is mixed with a concentrated solution of an activating agent and the dried mixture is then heated in the oven in an inert atmosphere.
2. Materials & Methods
Chemicals used in this study included cerium oxide, deionized water to prepare a solution containing rare earth elements, hydrochloric acid, ammonia to adjust pH from Merck Company, phosphoric acid 98% - 100%, and distilled water for dilution. Rice straw used in the study was prepared by the agricultural lands in Mazandaran province in the north of Iran. In order to prepare the adsorbent, rice straw was minced into an electric mill. Then it was rinsed with double distilled water and is kept in the oven at a temperature of 60˚C to be dried completely.
First, the dried raw material was combined with a solution of phosphoric acid. Then, it was placed on a heater at 100˚C and stirred to evaporate the moisture in the mixture of straw and phosphoric acid. Next, it was put into the oven at 150˚C for 4 hours to be dried completely. After that, the obtained material was placed into a vacuum furnace at 500˚C for 1 hour. The obtained adsorbent was rinsed with distilled water and then dried in the oven at 100˚C. Finally, the obtained activated carbon was screened using an ASTM E11sieve, 45 meshes (355 micron), to achieve dimensions of 500 - 250 microns.
Image of scanning electron microscope (SEM), a layer of raw straw and activated carbon, is shown in Figure 1. Figure 2 shows functional groups, their formed bonds, and its range for raw straw and activated carbon using Fourier Transform InfraRed (FTIR).
2.1. Adsorption Studies
Adsorption experiments were carried out in a batch system for determining pH, the equilibrium time, optimum temperature, amount of adsorbent, the adsorption capacity of rare earth elements, determination of kinetic and isotherm model. In this research during the reaction time, the contents of the container includes a certain amount of adsorbent and 30 ml serum concentration on a temperature controlled shaker with a mixing speed of 200 rpm. The Induction Coupled Plasma (ICP) device was used to measure the remaining elements in the solution and also determine the adsorption of Cerium in each experiment. After the reaction, the amount of adsorption was determined by calculating the difference between the initial and final concentration. The amount of Cerium adsorption was determined using the following formula:
where C0 is the initial concentration of Cerium (mg/l), Ce is the concentration of Cerium at equilibrium (mg/l), qe is the amount of Cerium adsorption (mg/g), m is the amount of adsorbent (gr), and V is volume of the solution (l).
Figure 1. (a) SEM image of raw straw; (b) Activated carbon mixed with H3PO4.
2.2. The Effects of Solution pH
Solution pH is an important factor for process control of biosorption and affects the characteristics of metal in solution during the reaction of hydrolysis, complexing and reducing the metal recovery  . The pH factor is capable of influencing the analysis status and the bond place. In addition, this factor is capable of affecting the desired metal solution in the form of hydrolysis and complexing through organic and inorganic ligands  . In this study, the pH of the aqueous solution was determined between 1 and 7. As shown in Figure 3, the highest adsorption of cerium is determined by pH = 4.
2.3. The Effect of Temperature
Temperature of the process is also an important factor influencing the biological adsorption of metal ions  . Experiments of cerium adsorption were studied at 20˚C, 25˚C, 30˚C, 35˚C and 40˚C. It was found that the temperature in the range 20˚C to 35˚C has no effect on the biosorption and the cerium adsorption is influenced by temperature at 35˚C to 40˚C (Figure 4).
2.4. The Effect of Adsorbent Dosage
The concentration of adsorbent has a large impact on the adsorbent dosage in a way that increasing the concentration of biosorbents usually decreases the adsorbent dosage which may be due to the complex performance of several factors. At high concentrations of adsorbent, there is not enough adsorbent for complete coverage of solutions with the ability for adsorption on biosorbents which usually leads to low loading of adsorbent. The interference between the bond places due to the high concentration of biosorbents will reduce the loading capacity   . Figure 5 shows the effect of adsorbent dosage on cerium adsorption.
2.5. The Effects of Initial Concentration of Metal
Biosorption of cerium was studied as a function of metal concentration in the range of 50 to 300 mg/L. The amount of cerium adsorbed onto activated carbon increases with increasing initial concentration of metal ions. For element of cerium, when the ion concentration increases, the equilibrium loading of metal ion significantly increases and there is often saturation at higher concentrations (Figure 6).
2.6. The Effect of Contact Time
As shown in Figure 7, the capacity of cerium adsorption is high in the first 300 minutes and increases with increasing contact to 500 minutes. After that, there is no significant increase in cerium adsorption. So, this time of interaction can be considered as equilibrium time of reaction. Rapid adsorption in the initial stages is probably due to the increase in the concentration gradient between the adsorbed material in the solution and adsorbent. As long as the phenomenon of adsorption desires to achieve a stable equilibrium, the initial rapid loading of metal ion will be in the form of physical adsorption. When the contact time increases, many operating groups will par-
Figure 2. (a) FTIR spectrum of raw rice straw and, (b) Activated carbon combined with H3PO4.
Figure 3.The effect of solution pH on the cerium adsorption by activated carbon.
Figure 4. The effect of temperature on the cerium adsorption by activated carbon.
Figure 5. The effects of adsorbent dosage on cerium adsorption by activated carbon.
Figure 6. The effects of initial concentration of cerium ions on cerium adsorption by activated carbon.
Figure 7. The effect of contact time on the cerium adsorption by activated carbon.
ticipate in metal ion adsorption until the equilibrium is obtained. After equilibrium, there is no significant change in metal ion concentration in the solution.
3. Results and Discussion
3.1. Adsorption Isotherms
One of the appropriate tools for the thermodynamic and kinetics model of the adsorption process is using different methods to determine the adsorption isotherm. Adsorption isotherm can be expressed in the form of a relationship between the adsorbed concentration onto solid surfaces and contaminant concentrations in solution phase at equilibrium and constant temperature  . Adsorption isotherms in laboratory are obtained through tests of the batch system   . The results for the adsorption of cerium ions are based on experimental data obtained by the adsorption models of Langmuir and Freundlich and Temkin   .
3.1.1. Langmuir Isotherm
Langmuir model is proposed on the assumption that energy of adsorption is the same in all places. In other words, adsorbent has homogenous surfaces and adsorption occurs in certain places and adsorbed molecules and ions have no interaction effect on each other. Moreover, the maximum adsorption is in the form of monolayer   . Langmuir model is described by the following equation:
where Ce is the concentration of Cerium at equilibrium (mg/l), qe is the amount of Cerium adsorption (mg/g), Qmax is monolayer adsorption capacity (mg/g), and b is parameter related to energy of adsorption (l/mg). According to the curve of Ce based on Ce/qe, a linear equation is obtained which can calculate the coefficients of Qmax and b. Langmuir constants were calculated on the basis of Figure 8 and the results are shown in Table 1.
3.1.2. Freundlich Isotherm
Freundlich isotherm was propposed by Freundlich and Custer in 1894 with a completely empirical relationship and was used in the scope of the changes in low concentrations. It implies that the energy decreases with increasing levels   . Freundlich model can be expressed by the following equation:
where Kf is Freundlich constant and n is adsorption intensity. Freundlich isotherm constants can be achieved by drawing changes of logq to. As shown in Figure 9, Kf is obtained by y-intercept and 1/n is obtained by line slope. The results are presented in Table 1.
Figure 8. Linear representation of Langmuir adsorption isotherm on cerium ions.
Figure 9. Linear representation of Freundlich adsorption isotherm on cerium ions.
Table 1. Constants obtained for the model of Langmuir, Freundlich and Temkin.
3.1.3. Temkin Adsorption Isotherm
Temkin isotherm assumes that the adsorption heat of all molecules in the adsorption layer is linearly reduced. This type of adsorption is characterized by a uniform distribution of bonding energies and is shown as follows:
where B is Temkin constant related to adsorption heat (B = RT/b) and A is constant of equilibrium bond (L/g) which is corresponding to maximum binding energy   . Temkinisotherm constants can be achieved by drawing changes of q to lnCe (Figure 10 and Table 1).
The results of the adsorption of cerium ion based on the adsorption models of Langmuir, Freundlich and Temkin show that Langmuir equation has a very good correlation coefficient in comparison with the other two equations and it indicates the consistency of the results of this research with Langmuir isotherm.
3.2. Adsorption Kinetics
In order to understand the dynamics of adsorption reactions, data on adsorption kinetics were examined.As was observed cerium adsorption increases with increasing time and reaches equilibrium during 300 minutes (Figure 7). The equilibrium time and cerium adsorption depends on the initial concentration of the adsorbed material. In the first stage, adsorption is fast and it gradually declines in the second stage; in other words, the phenomenon of adsorption is under control. The final stage is final equilibrium. There are several mathematical models to describe the reaction kinetics  . In this study, we investigated pseudo-first-order model (Lagergren), pseudo-second-order model (Ho et al.), intraparticle diffusion kinetic model and Elovich kinetic model.
3.2.1. Pseudo-First-Order Kinetics Model
Pseudo-first-order equation was proposed by Lagergren in 1898 for the adsorption kinetics of the liquid on the solid phase. This model is in line with the adsorption rate based on absorption capacity and is expressed as follows    :
where qe is the amount of cerium adsorption (mg/g), qt is adsorption dosage at time of t (mg/g), K1 is pseudo first-order kinetic constant (1/min), and t is time (min). Pseudo-first-order equation constants can be achieved by drawing changes of to t (Figure 11 and Table 2).
3.2.2. Pseudo-Second-Order Kinetics Model
Pseudo-second-order kinetic model is used to determine the kinetics of absorption based on the absorption capacity of the solution and can be expressed as follows    :
where qe is the amount of cerium adsorption (mg/g), qt is adsorption dosage at time of t (mg/g), K2 is pseudo second-order kinetic constant (1/min), and t is time (min). Pseudo-second-order equation constants can be achieved by drawing changes of t/q to t (Figure 12 and Table 2).
3.2.3. Intraparticle Diffusion Kinetics Model
This model is based on the influence of molecules adsorbed to places of the adsorbent in the porosity. Mathematical expression of intraparticle diffusion model is as follows:
where qt is adsorption dosage at time of t (mg/g), Kp is intraparticle diffusion rate constant ((mg/g)∙min−0.5), and C is intraparticle diffusion constant (mg/g)  . Intraparticle diffusion constant can be achieved by drawing changes of qt to t0.5 (Figure 13 and Table 2).
3.2.4. Elovich Kinetics Model
Elovich equation is used to describe the kinetics of absorption and desorption of mineral elements in solid chemistry and can be expressed as follows:
Figure 10. Linear representation of Temkin adsorption isotherm on cerium ions.
Figure 11. The pseudo-first-order kinetic model (Lagergren’s model).
Figure 12. The pseudo-second-order kinetic model (Ho et al.).
Figure 13. The intraparticle diffusion kinetic model.
Figure 14. The elovich kinetic model.
Table 2. The calculated constants based on kinetic models of cerium adsorption.
where q is adsorption dosage at time of t (mg/g), and α and β are constant values during the experiment  . Constant values of Elovich equation can be achieved by drawing changes of q to lnt (Figure 14 and Table 2). According to Table 2, analysis of kinetic data on the adsorption process shows that the correlation coefficient for pseudo-first-order kinetic model is higher than the other three models. The pseudo-first-order kinetic model is the most appropriate model for investigation of experimental data on cerium adsorption.
The results of this study showed that the activated carbon developed from rice straw activated by H3PO4 was a relatively effective adsorbent for the adsorption of cerium from aqueous solution. The adsorption process obeys Pseudo-first-order kinetic model and Langmuir isotherm model. The highest adsorption of Cerium is determined by 4.13 mg/g and pH = 4. The adsorption dosage increases with increasing the temperature more than 35˚C. In addition, the adsorption dosage has a direct relationship between increasing initial concentration and contact time.
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