Abstract
Contaminant arsenic(V) has been regarded as one of the top-priority pollutants to remove from water. In this contribution, different mesoporous Y-Al binary oxides were prepared by the wet impregnation method via varying the molar ratio of Y/Al in the range of 0.029 to 0.116. The manufactured materials were employed as adsorbent to separate arsenic(V) from water. The adsorbent was characterized by N2 adsorption–desorption isotherm, point of zero charge (PZC) and Fourier transform infrared (FT-IR). Furthermore, the effect of experimental parameters on adsorption performance was evaluated by batch experiments, including the molar ratio of Y/Al, adsorbent dosages and contact time, initial concentration, initial pH and temperature. The results indicated that the adsorbent presented an optimal adsorption performance for As(V) uptake when the molar ratio of Y/Al was 0.058. The obtained experimental data were best fitted by Langmuir isotherm and the maximum adsorption capacity was 60.93 mg/g at pH 6.6 ± 0.1. Additionally, according to the results of adsorption kinetics, it was pronounced that adsorption process was complied with pseudo-second-order model. The adsorption thermodynamic suggested that the adsorption of As(V) is endothermic and spontaneous natural. Moreover, based on the results of FT-IR, PZC and initial pH, it is demonstrated that ion-exchange and electrostatic interaction were the dominating adsorption mechanism.
INTRODUCTION
In recent decades, effective separation of As(V) species from solutions attracted much attention since this kind of species are the thermodynamically stable, are identified in overwhelming quantity and compose a seriously health threat (Matschullat 2000). Many kinds of techniques are designed to remove As(V), such as precipitation, ion-exchange, electrocoagulation, biological, adsorption, etc. (Vaclavikova et al. 2008). Among these available treatment approaches, adsorption has been regarded as the most effective method to remove As(V) due to the low cost, high efficiency, simple operation and less or no byproducts production (Han et al. 2013). Ordinarily, the most important factor in adsorption system is the adsorbent, which directly interacts with adsorbate. Therefore, the research relevant to efficient adsorbent quest has attracted extensive concern (Peng et al. 2016).
By far, most materials were employed as adsorbent to separate As(V) from solution, including activated carbon, neutralized red mud (Genç et al. 2003) and ferrihydrite (Jain et al. 1999). The hydroxyl groups located on the adsorbent surface turn out to be the activated group to uptake As(V) (Li et al. 2010). Therefore, metal oxides have attracted much attention since they include abundant hydroxyl groups and offer high affinity to As(V) species. Specifically, Chen et al. (Chen et al. 2007) demonstrated that As(V) removal performance has significantly increased with graft iron oxide over activated carbon. Additionally, according to the report of Zhang et al. (Zhang et al. 2005), As(V) maximum adsorption capacity of Ce-Fe binary mixed oxide was 4 to 5 times higher compared to that of individual CeO2 and Fe3O4. Furthermore, the metal (M)-OH group has been confirmed by Fourier transform infrared (FT-IR) and X-ray photoelectron spectroscopy (XPS) characterization techniques and it was the dominant bonding site of As(V). Therefore, it was concluded that even more (M)-OH groups are capable of improving As(V) adsorption performance.
Recently, increasing porous material is developed with the discovery of M41S. Due to the excellent pore structure and high surface area, more active (M)-OH groups have been exposed over the surface of the adsorbent to contact the adsorbate. As an example, fast adsorption rate (equilibrium time less than 2 h) and high removal efficiency (94.7%) are exhibited in removal As(V) by mesoporous alumina, which proved to be superior compared to the commercial alumina which presents an equilibrium time of more than 9 h and a maximum removal efficiency below 50% (Han et al. 2013). Additionally, much attention has been focused on the composite metal oxides to increase the amount of active (M)-OH groups, while the eminent adsorption performance is observed in composite materials, such as Ce-Ti (Li et al. 2010) and Fe-Ti (Gupta & Ghosh 2009).
In this contribution, composite Y-Al binary oxide with mesoporous structure was synthesized by wet impregnation method under different molar ratio of Y/Al. The obtained materials were used as adsorbent to remove As(V) from water solution. The structure properties of the Y-Al binary oxide were characterized by N2 adsorption–desorption isotherms, point of zero charge (PZC) and FT-IR. The adsorption performance was evaluated by performing batch experiments with variation of the operating parameters (initial pH, adsorption temperature, contact time and initial concentration). The experimental data were analyzed by Langmuir and Freundlich isotherms. Additionally, As(V) uptake mechanism was investigated in detail.
EXPERIMENTAL
Materials
Pluronic P123 (EO20PO70EO20) was provided from Sigma-Aldrich. Aluminum tri-isopropoxide and Y(NO3)3·6H2O were obtained from the Shanghai Chemical Regent Company of China. HCl and NaOH were supplied by Tianjin ShenTai Chemical Reagent Co., Ltd.
Prepared mesoporous Y-Al binary oxide
Wet impregnation method was adopted to prepare mesoporous Y-Al binary oxide. The carrier mesoporous alumina was initially synthesized under room temperature by the previous procedure (Han et al. 2013). Subsequently, the obtained mesoporous alumina was added into the aqueous solution of Y(NO3)3 6H2O under stirring. Finally, the well-mixed sample was dried at 100 °C for 12 h and then calcined at 400 °C for 3 h. The molar ratio of Y/Al in the mixture was 0.029, 0.058, 0.087 and 0.116, while the obtained solid samples were marked as Y-Al1, Y-Al2, Y-Al3 and Y-Al4, respectively.
Characterization
N2 adsorption-desorption isotherms of Y-Al1, Y-Al2, Y-Al3 and Y-Al4 were determined by ASAP 2020 apparatus under −196 °C. The method of Barrett–Joyner–Halenda (BJH) and Brunauer–Emmett–Teller (BET) were adopted to calculate pore size distribution and specific surface area, respectively. The FT-IR spectroscopy was used to measure the surface group change by a Nicolet 560 IR spectrometer. The pH value for the point of zero charge (pHpzc) was obtained by acid-base titration method.
Batch experiments
Here, qt (mg/g) is the adsorption capacity at time t. C0 (mg/L) is the initial and concentration of As(V). Ct (mg/L) is the concentration of As(V) at time t. V (mL) is the volume of As(V) solution. m (g) is the dosage of adsorbent. η (%) is the removal efficiency at time t.
The adsorption isotherm experiments were carried out by different adsorbents (Y-Al1, Y-Al2, Y-Al3 and Y-Al4) under ca. 20 °C and the contact time = 720 min. The adsorbent (0.1 g) was added into 50 mL solution (solid to liquid ratio = 2 g/L) of As(V) with various initial concentrations (4.47, 11.178, 44.703, 89.41 and 178.812 mg/L) at the fixing pH 6.6 ± 0.1. Adsorption kinetics experiments were performed by varying solid to liquid ratio (0.4, 0.6, 1 and 1.4 g/L) under room temperature (ca. 20 °C) for a period of 720 min. And the other operating parameters were as follows: 50 mL solution with As(V) initial concentration of 44.703 mg/L, the pH was 6.6 ± 0.1. The adsorption thermodynamic experiments were investigated by adding 0.05 g adsorbent (Y-Al2) into 50 mL solution (solid to liquid ratio = 1 g/L) with As(V) initial concentration of 44.703 mg/L under different temperatures (20, 35, 50 and 65 °C) and the contact time = 720 min.
RESULTS AND DISCUSSION
Structure properties
The N2 adsorption–desorption isotherms and pore size distributions of mesoporous Y-Al binary oxide including different molar ratios are illustrated in Figure 1. According to Figure 1, the isotherms shapes of the different Y-Al binary oxides are all found to be the type IV curve with H1 hysteresis loop at (P/P0) 0.35–0.90, based on the classification by International Union of Pure and Applied Chemistry (Sing 2009). A similar area (P/P0) of hysteresis loop was observed in different mesoporous Y-Al binary oxides. This indicates that no significant distinction occurs in the pore size of Y-Al1, Y-Al2, Y-Al3 and Y-Al4, which is consistent with the results of pore size distribution (as presented in Figure 1) and the values of BJH pore diameter (as tabulated in Table S1, available with the online version of this paper). The BET surface area and BJH pore diameter of Y-Al1, Y-Al2, Y-Al3 and Y-Al4 are introduced in Table S1. It is pronounced that the BET surface area is decreased with the increasing Y/Al molar ratio.
To discern the surface group of mesoporous Y-Al binary oxide before and after uptake of As(V) under different initial pH, the FT-IR spectra are illustrated in Figure 2. It was concluded that three clear peaks at 3,628, 1,382 and 580 cm−1 appeared in fresh Y-Al2, which is respectively attributed to the vibration of basic hydroxyl group, Y-OH group and the overlap of M (metal)-O (Pavel et al. 2011). Nevertheless, the peaks at 3,628 and 1,382 cm−1 were weakened and shifted to 1,210 and 1,156 cm−1 after adsorption of As(V), which demonstrates that hydroxyl group on the surface of mesoporous Y-Al binary oxide was reduced and involved in the adsorption process. Simultaneously, a new band appeared at ca. 830 cm−1 after adsorption of As(V) (Curve b of Figure 1). It can be assigned to the vibration of As-O, which proves the removal of As(V) on the Y-Al2 (Pillewan et al. 2011). Therefore, it indicated that ion exchange between As(V) species and hydroxyl group was the adsorption mechanism.
(A) the N2 adsorption-desorption isotherm and (B) the pore size distribution of (a) Y-Al1, (b) Y-Al2, (c) Y-Al3 and (d) Y-Al4.
(A) the N2 adsorption-desorption isotherm and (B) the pore size distribution of (a) Y-Al1, (b) Y-Al2, (c) Y-Al3 and (d) Y-Al4.
As previously reported, the value of PZC was ca. 8.86, which is higher compared to that of pure alumina (8.3) due to the loading of (yttrium oxide) alkaline oxide (Tripathy & Raichur 2008). The result indicated that the surface of Y-Al2 will be positive charges at pH < 8.86, which is in favour of binding As(V) anions. On the contrary, the deprotonation occurred on the surface of Y-Al2 at pH > 8.86. Thus, the electrostatic repulsion (between negative charged surface of Y-Al2 and As(V) anions) will be difficult to adsorption of As(V) anions.
The FT-IR of Y-Al2 before and after adsorbed As(V) under different initial pH. (a) fresh Y-Al2, (b) pH = 2.0, (c) pH = 6.6 ± 0.1, (d) pH = 4.0, (e) pH = 9.0.
The FT-IR of Y-Al2 before and after adsorbed As(V) under different initial pH. (a) fresh Y-Al2, (b) pH = 2.0, (c) pH = 6.6 ± 0.1, (d) pH = 4.0, (e) pH = 9.0.
As(V) separate performance
Effect of the molar ratio of Y/Al
According to previous research (He et al. 2015), the difference of adsorbent component would cause a significant variation in the adsorption performance. The effect of molar ratio of Y/Al on As(V) uptake is illustrated in Figure 3. It is found that As(V) adsorption capacity of mesoporous Y-Al binary oxide increased first when molar ratio of Y/Al increasing in the region of 0.029–0.058. It can be explained in that the available adsorption sites for As(V) uptake were increased with the loading of Y. And then As(V) uptake decreased with further increasing Y/Al molar ratio in the range of 0.058–0.116. This result might be associated with the monolayer distribution of yttrium oxide over the surface of alumina. The reduction of adsorption capacity at high molar ratio could be attributed to the aggregation and accumulate of the activated groups which will increase the pore blockage (He et al. 2015). Therefore, the optimal adsorption capacity (56.86 mg/g) was obtained at Y-Al2 (the molar ratio of Y/Al was 0.058), and Y-Al2 was used in the following experimental procedure.
As(V) uptake over (a) Y-Al1, (b) Y-Al2, (c) Y-Al3 and (d) Y-Al4. Experimental condition: adsorbent dosage =0.1 g, volume = 50 mL, pH = 6.6 ± 0.1, adsorption temperature = 20 °C, As(V) concentration (C0): 4.47, 11.178, 44.703, 89.41, 178.812 mg/L, respectively.
As(V) uptake over (a) Y-Al1, (b) Y-Al2, (c) Y-Al3 and (d) Y-Al4. Experimental condition: adsorbent dosage =0.1 g, volume = 50 mL, pH = 6.6 ± 0.1, adsorption temperature = 20 °C, As(V) concentration (C0): 4.47, 11.178, 44.703, 89.41, 178.812 mg/L, respectively.
Effect of adsorbent dosages and contact time
The effect of adsorbent dosages and contact time on As(V) removal efficiency is illustrated in Figure 4. It is pronounced that the removal percentage was increased by increasing the amount of Y-Al2, due to the development of adsorption sites at the fixed As(V) species. The maximum removal efficiency ca. 100% was obtained at adsorbent 0.1 g (the equilibrium time is ca. 150 min). This can be interpreted as a distribution of a variety of active sites in the adsorbent (Y-Al2). Additionally, the time required to reach equilibrium is reduced by increasing the adsorbent dosages. As an example, the equilibrium time for 0.02 g and 0.05 g were 600 min and 300 min, respectively. This reveals that adsorption rate increases with the increase of active sites.
Effect of adsorbent dosages and contact time on the removal of As(V) over Y-Al2. (a) 0.02 g, (b) 0.03 g, (c) 0.05 g, (d) 0.07 g and (e) 0.1 g. Experimental condition: As(V) initial concentration = 44.703 mg/L, volume = 50 mL, pH = 6.6 ± 0.1, adsorption temperature = 20 °C.
Effect of adsorbent dosages and contact time on the removal of As(V) over Y-Al2. (a) 0.02 g, (b) 0.03 g, (c) 0.05 g, (d) 0.07 g and (e) 0.1 g. Experimental condition: As(V) initial concentration = 44.703 mg/L, volume = 50 mL, pH = 6.6 ± 0.1, adsorption temperature = 20 °C.
Effect of initial concentration
Initial concentration is a key parameter to assess the performance to removal contaminant from solution. The effect of initial As(V) concentration on removal percentage was investigated and the results are illustrated in Figure 5. It is pronounced that due to the increase of As(V) species in high concentration and the fixed dosage of Y-Al2, As(V) removal percentage was decreased from 99.98% to 55.23% when an initial concentration increase from 4.47 mg/L to 89.41 mg/L, and the final As (V) concentration reached 8.94 μg/L and 40.03 mg/L, respectively. World Health Organization stipulates the As(V) concentration must be lower than 10 μg/L (Martínez-Villafañe et al. 2009). This result indicates that Y-Al2 is an efficient adsorbent for removing As(V) from low level of initial concentration (As(V) initial concentration lower than 4.47 mg/L) and achieved the ‘drinking water’ goal.
Effect of initial concentration on the removal of As(V) over Y-Al2. (a) 4.47, (b) 11.18, (c) 22.35, (d) 44.703 and (e) 89.41 mg/L. Experimental condition: adsorbent dosage = 0.05 g, volume = 50 mL, pH = 6.6 ± 0.1, adsorption temperature = 20 °C.
Effect of initial concentration on the removal of As(V) over Y-Al2. (a) 4.47, (b) 11.18, (c) 22.35, (d) 44.703 and (e) 89.41 mg/L. Experimental condition: adsorbent dosage = 0.05 g, volume = 50 mL, pH = 6.6 ± 0.1, adsorption temperature = 20 °C.
Effect of temperature
Temperature constitutes an important parameter in As(V) removal from wastewater. The effect of temperature on adsorption of As(V) was presented in Figure 6. The adsorption capacity increased from 36.08 to 39.42 mg/g with varying adsorption temperature from 20 to 65 °C. This phenomenon can be attributed to the increase of collision frequency (between adsorbate and adsorbent) with the increase of adsorption temperature. It notes that increasing temperature contributed to the adsorption of As(V). And the detailed analyses were presented in adsorption thermodynamic study.
Effect of temperature on the removal of As(V) over Y-Al2. Experimental condition: As(V) initial concentration = 44.703 mg/L, adsorbent dosage = 0.05 g, volume = 50 mL, pH = 6.6 ± 0.1, adsorption temperature = 20, 35, 50 and 65 °C.
Effect of temperature on the removal of As(V) over Y-Al2. Experimental condition: As(V) initial concentration = 44.703 mg/L, adsorbent dosage = 0.05 g, volume = 50 mL, pH = 6.6 ± 0.1, adsorption temperature = 20, 35, 50 and 65 °C.
Effect of solution pH
Ordinary, pH is one of the most critical factors with significant influence on As(V) uptake, which will affect the form of arsenic and the surface potential of adsorbent. According to Figure 7, it can be found that the maximum removal efficiency was achieved at pH equal to 4. The removal efficiency increases by increasing of the pH from 2 to 4. And the reason can be attributed to the fact that the number of H2AsO4− is increased in this pH region, which were sorbed over the protonated hydroxyl group of adsorbent Y-Al2 via electrostatic interaction (Li et al. 2010). However, the removal efficiency sharply decreases when the initial pH further increases from 4 to 12. It can be ascribed to the concentration of OH− which increases by pH further increase, thus resulting in the competition between arsenate and OH− in the solution (Han et al. 2016b). In detail, when the initial pH varied from 4 to 8, the zeta potential of Y-Al2 decreased which led to the weakness of electrostatic interaction. On the contrary, when the initial pH was equal to or higher than 9, the zeta potential of Y-Al2 was negatively charged. Therefore, the removal efficiency decreases under alkaline conditions due to the repulsive force existing between the negatively charged surface and arsenate. Simultaneously, the main mechanism is ion-exchange between hydroxyl groups on the surface of Y-Al2 and arsenate. These findings are in agreement with the result of FT-IR.
Effect of initial pH on the removal of As(V) over Y-Al2 and final pH. Experimental condition: As(V) initial concentration = 44.703 mg/L, adsorbent dosage = 0.05 g, volume = 50 mL, adsorption temperature = 20 °C.
Effect of initial pH on the removal of As(V) over Y-Al2 and final pH. Experimental condition: As(V) initial concentration = 44.703 mg/L, adsorbent dosage = 0.05 g, volume = 50 mL, adsorption temperature = 20 °C.
By observing Figure 7, a very interesting phenomenon occurs. When the initial pH is lower than 8, the final pH becomes higher than the initial pH. Since the hydroxyl groups on surface of Y-Al2 had been protonated (H+ in the solution were adsorbed), which results in the final pH increase. In contrast, when the initial pH is greater than 8, the final pH becomes lower compared to the initial pH. This occurs since the OH− in the solution strongly compete with arsenate (HAsO42– and AsO43–) for the active sites of Y-Al2. In addition, according to previous research, it has been reported that alumina preferentially sorbed OH− in the solution, which attributes to its weak acidity (Doukkali et al. 2012).
Adsorption isotherm
The adsorption isotherm of the adsorbent mesoporous Y-Al binary oxide was investigated at pH 6.6 ± 0.1 and the corresponding results are presented in Figure S2 (available with the online version of this paper). The experimental data were evaluated by Langmuir and Freundlich isotherm equations and the corresponding parameters were summarized in Table 1. It was pronounced that the correlation coefficient (R2) of Langmuir isotherm model was significantly higher compared to Freundlich isotherm model. It was indicated that the adsorption behavior corresponds efficiently to Langmuir isotherm model rather than Freundlich isotherm model, which also reveals that the As(V) uptake belongs to a monolayer adsorption (Deng & Yu 2012a). Meanwhile, the preferable fitting between experimental data and Langmuir isotherm model reveals the fact that the adsorption reactions occurred on the homogeneous surface of Y-Al binary oxide (Zhang et al. 2013).
The parameters of Langmuir and Freundlich isotherm for the effect of the molar ratio of Y/Al on As(V) adsorption
Langmuir isotherm . | Freundlich isotherm . | ||||||
---|---|---|---|---|---|---|---|
Y/Al . | qmax (mg/g) . | KL . | R2 . | Y/Al . | KF . | 1/n . | R2 . |
0.029 | 39.00 | 0.1760 | 0.9951 | 0.029 | 5.6446 | 0.4673 | 0.8732 |
0.058 | 60.93 | 0.2053 | 0.9785 | 0.058 | 12.3414 | 0.5513 | 0.1497 |
0.087 | 57.14 | 0.1831 | 0.9798 | 0.087 | 9.1559 | 04717 | 0.5375 |
0.116 | 48.80 | 0.3019 | 0.9922 | 0.116 | 9.7141 | 0.4621 | 0.5158 |
Langmuir isotherm . | Freundlich isotherm . | ||||||
---|---|---|---|---|---|---|---|
Y/Al . | qmax (mg/g) . | KL . | R2 . | Y/Al . | KF . | 1/n . | R2 . |
0.029 | 39.00 | 0.1760 | 0.9951 | 0.029 | 5.6446 | 0.4673 | 0.8732 |
0.058 | 60.93 | 0.2053 | 0.9785 | 0.058 | 12.3414 | 0.5513 | 0.1497 |
0.087 | 57.14 | 0.1831 | 0.9798 | 0.087 | 9.1559 | 04717 | 0.5375 |
0.116 | 48.80 | 0.3019 | 0.9922 | 0.116 | 9.7141 | 0.4621 | 0.5158 |
As presented in Table 1, the maximum adsorption capacity is 60.93 mg/g. To evaluate the performance of the adsorbent Y-Al binary oxide for As(V) uptake, the comparison of adsorption capacity of other materials was also listed in Table 2. It is concluded that the adsorption capacity of the adsorbent Y-Al binary oxide is higher than previous reported materials, which indicates that the adsorbent Y-Al binary oxide represents one of the most promising adsorbents for separating As(V) from wastewater.
Comparison of adsorption capacity of As(V) adsorbed over other materials
Adsorbent . | Adsorption capacity (mg/g) . | Source . |
---|---|---|
Mesoporous alumina | 36.6 | Han et al. (2013) |
Alumina | <20 | Tchieda et al. (2016) |
γ-Al2O3 | 26.60 | Chiavola et al. (2016) |
Sigma- Al2O3 | 8.64 | Chiavola et al. (2016) |
Al-Ti | 9.50 | Chiavola et al. (2016) |
Mesoporous Y-Al binary oxide | 60.93 | This work |
Adsorbent . | Adsorption capacity (mg/g) . | Source . |
---|---|---|
Mesoporous alumina | 36.6 | Han et al. (2013) |
Alumina | <20 | Tchieda et al. (2016) |
γ-Al2O3 | 26.60 | Chiavola et al. (2016) |
Sigma- Al2O3 | 8.64 | Chiavola et al. (2016) |
Al-Ti | 9.50 | Chiavola et al. (2016) |
Mesoporous Y-Al binary oxide | 60.93 | This work |
Adsorption kinetics
On the above equations, t (min) is the contact time, qt (mg/g) is the adsorption capacity at any time t, qe (mg/g) represents adsorption capacity at equilibrium, K1 (min−1) and K2 (g/(mg·min)) are the adsorption rate constant of pseudo-first-order model and pseudo-second-order model, respectively.
The curves and parameters of the above two kinetics models are summarized in Figure 8 and Table S2 (available with the online version of this paper), respectively. It is pronounced that the correlation coefficients (R2) of pseudo-first-order are lower than that of pseudo-second-order model. In addition, the qe of calculation (qe(cal)) of pseudo-second-order model is remarkably higher than pseudo-first-order model, which is in agreement with the value of experiment (qe(exp)). Therefore, it can be considered that pseudo-second-order model is the appropriate to analyse the process of As(V) uptake over Y-Al with a variety of dosages (Swain et al. 2011). This result also reveals that the adsorption process was chemisorption and the adsorption reactions were the rate-limiting step mechanism (Deng & Yu 2012b).
(A) Pseudo-first-order and (B) pseudo-second-order curves of adsorption kinetics with arsenate adsorbed over Y-Al with different dosages (a) 0.02 g, (b) 0.03 g, (c) 0.05 g, (d) 0.07 g. Experimental condition: As(V) initial concentration = 44.703 mg/L, volume = 50 mL (solid to liquid ratio = 0.4, 0.6, 1 and 1.4 g/L, respectively), pH = 6.6 ± 0.1, adsorption temperature = 20 °C, contact time = 720 min.
(A) Pseudo-first-order and (B) pseudo-second-order curves of adsorption kinetics with arsenate adsorbed over Y-Al with different dosages (a) 0.02 g, (b) 0.03 g, (c) 0.05 g, (d) 0.07 g. Experimental condition: As(V) initial concentration = 44.703 mg/L, volume = 50 mL (solid to liquid ratio = 0.4, 0.6, 1 and 1.4 g/L, respectively), pH = 6.6 ± 0.1, adsorption temperature = 20 °C, contact time = 720 min.
Thermodynamic study
Here, △G0 (KJ/mol) is the change in free energy. R (8.314 J/(mol•K)) is the ideal gas constant. T (K) is the absolute temperature. Kα (L/g) is the equilibrium constant which is calculated by qe/Ce. △H0 (KJ/mol) is the change in enthalpy. △S0 (J/(mol•K)) is the change in entropy.
The value of ΔH0 and ΔS0 are determined by the slope and intercept of the linear plot of Ka vs. 1/T which was illustrated in Figure S3. And the value of all thermodynamic parameters were listed in Table S3. (Figure S3 and Table S3 are available with the online version of this paper.) As shown in Table S3, the positive value of ΔH0 (10.59 KJ/mol) indicates that the adsorption reaction of As(V) is endothermic. Based on the positive value of ΔS0, it suggests that the randomness at the solid/liquid interface increased with the increasing of the adsorption temperature during the adsorption process. In addition, the negative value of ΔG0 (−3.14, −4.15, −4.88 and −5.65 KJ/mol) reveals that the spontaneous nature of As(V) uptake on the surface of Y-Al2. And the reduction of ΔG0 with the further increasing of temperature deems that rising temperature can promote the adsorption capacity of As(V) and this result is according with the above result (Figure 6).
CONCLUSION
In this work, the mesoporous Y-Al binary oxide was successfully prepared by incipient wetness impregnation and used as the adsorbent for As(V) uptake. It was demonstrated that the adsorbent has an optimal adsorption performance for As(V) uptake when the molar ratio of Y/Al was 0.058. The adsorption performance of Y-Al followed the order of Y-Al2 > Y-Al3 > Y-Al4 > Y-Al1. According to the experimental results, the process of As(V) uptake was influenced by many parameters, including the molar ratio of Y/Al, adsorbent dosages and contact time, initial concentration, initial pH and adsorption temperature. Furthermore, the maximum adsorption capacity was 60.93 mg/g, which was calculated from Langmuir isotherm model. The study of kinetics depicted that the adsorption process corresponds to a pseudo-second-order model and chemisorption was the main interaction between adsorbate (As(V)) and adsorbent (Y-Al). The thermodynamic study pointed out that As(V) uptake over Y-Al2 was spontaneous and endothermic. Finally, based on the results of FT-IR, pHpzc and initial pH, it was pronounced that ion-exchange and electrostatic interaction were involved in the adsorption process at pH ≥ 9 and pH < 9, respectively.
ACKNOWLEDGEMENTS
We gratefully acknowledge the support of this work by Natural Science Foundation of China (Grant No. 21507051, 21767016 and U1402233), Personnel Training Funds of Kunming University of Science and Technology (KKSY201422060), and Young Academic and Technical Leader Raising Foundation of Yunnan Province (Grant No. 2008py010).