3.1 The results of synthesis of the geopolymer foams
The whole preparation was simple, and the overall cost was lower than that of traditional commercial inorganic adsorbents. The geo-polymerization mechanism for the zeolite-based geopolymer is that a polycondensation of [AlO4] and [SiO4] groups occurred to form polymer gels with three basic structural units in the hydration layer of the hydrated sodium ions during the condensation polymerization process; this layer was located at the interface between the solid and the liquid in the initial gel [27]. The geopolymer foams were prepared and evaluated using various initial conditions. Given the results in Table 2, examining the effect of raw material composition on the fabricated geopolymer foams showed that increasing sodium silicate more than the calculated stoichiometric value reduces the strength and the dye adsorption. On the other hand, thermal processing (activation) of the zeolite has a positive effect on the strength and adsorption capacity of the adsorbent foam. The results showed that the chemical foaming method resulted in greater strength of the final structure compared to the emulsion templating method with a positive effect on the dye adsorption capacity. By comparing the values related to strength and the ability of the adsorbent foam to absorb the dye, finally, sample 3 was selected as the optimal sample for further adsorption investigations.
Table 2
Examining the effect of raw material composition on geopolymer structure
Samples
|
Synthesis method
|
Sample density (g/mL)
|
Durability in water (day)
|
Dye adsorption (mg/g)
|
S1
|
Chemical foaming
|
0.0087
|
4
|
1.95
|
S2
|
Chemical foaming
|
0.0020
|
3
|
1.72
|
S3
|
Templating Emulsion/Chemical foaming
|
0.0126
|
4
|
2.69
|
S4
|
Templating Emulsion/Chemical foaming
|
0.0075
|
3
|
2.62
|
S5
|
Templating Emulsion/Chemical foaming
|
0.0080
|
2
|
2.04
|
S6
|
Templating Emulsion/Chemical foaming
|
Not produced
|
-
|
-
|
3.2 Analysis of the prepared geopolymer adsorbent
3.2.1 FESEM analysis results
The photograph and FESEM results of the surface structure and cross-sectional view of the prepared geopolymer adsorbent foam are shown in Fig. 2 for morphologic investigation. As shown in Fig. 2, the geo-polymerization reaction causes the formation of a series of macropore structures due to the bursting of bubbles formed by the hydrogen peroxide reaction in the geopolymer substrate:
$$2{\text{H}}_{2}{\text{O}}_{2}\left(\text{l}\right)\to 2{\text{H}}_{2}\text{O}\left(\text{l}\right)+{\text{O}}_{2}\left(\text{g}\right)\uparrow$$
4
Figures illustrate that geopolymer foam has high porosity and many pores with relatively uniform size distribution.
3.2.2 XRD analysis results
Figure 3 represented the XRD results and phase structure of the ZSM-5 zeolite and prepared geopolymer foam. By comparing the X-ray diffraction pattern of the foam created concerning the raw zeolite, it is found that the primary zeolite has a crystalline structure with sharp peaks, whereas the foam produced has an amorphous polymeric structure without the initial sharp peaks which is a representation of the geo-polymerization process to form the desired foam. The main feature was obtained by XRD measurements from the very broad reflection between 2θ = 15 and 35° assigned to an amorphous phase with the presence of a small number of trace minerals. The differences in the 2θ position of the broad reflection in the XRD patterns for zeolite and geopolymer foam provided evidence for the dissolution of SiO4 and AlO4− species from zeolite in the alkaline environment during the geo-polymerization reaction [28]. The sharp reflections due to the residual crystalline phases such as quartz were also observed alongside the broad reflection.
3.2.3 XRF analysis results
The chemical composition of the samples was determined by XRF and is shown in Table 1. Given the results, the presence of sodium and potassium components participating in the geo-polymerization reaction in the resulting foam can be confirmed.
Table 3
Chemical composition of ZSM-5 and zeolite-based geopolymer
Sample
|
Chemical composition
|
SiO2
|
Na2O
|
K2O
|
Cl
|
Al2O3
|
ZSM-5 zeolite
|
97.03
|
-
|
-
|
-
|
1.72
|
Geopolymer foam
|
60.87
|
11.77
|
10.52
|
2.45
|
0.88
|
3.2.4 TGA analysis results
TGA analysis was done to evaluate the thermal stability of the foam. Fig. 4 shows that there are three distinct steps in weight loss. Firstly, about 6 to 8% weight loss at 100°C took place because of water evaporation. As the processes of adsorption of most aqueous pollutants are done at temperatures below 100°C and ambient temperature, this weight loss shows the appropriate thermal stability of the adsorbent for these applications. Then the significant weight loss of 15% occurs between 100 to 400°C that may be because of the decomposition of the geopolymer adsorbent. Stabilization in the temperature range of 400 to 800°C occurred that showed an overall weight reduction of about 20% from 30°C to 800°C, showing geopolymer foam is stable at high temperatures.
3.2.5 BET analysis results
Figure 5 shows the BET analysis diagrams for the geopolymer foam. Based on the diagrams, the isotherm is an IV-type isotherm. This type of isotherm is used for porous materials. If the P/P0 ratio is low, it is similar to the type II isotherm, but when this ratio is very large, the material has very narrow, capillary pores, where the adsorption rate increases significantly and the adsorbent material condenses on the surface. This type of isotherm is usually seen for industrial catalysts and the corresponding curve is used to determine the pore size distribution. Furthermore, hysteria is seen in this type of isotherm. Hysteresis shows the presence of meso cavities in the material and can be used to obtain information about the geometry of the cavities.
BET analysis was used to investigate the behavior of nitrogen molecules in the adsorption phenomenon on the adsorbent surface and calculate the specific surface area, total pore volume, and average pore diameter of the adsorbent. According to the BET results, the specific surface area, total pore volume, and average pore diameter of the prepared adsorbent foam were 4.41 m2.g-1, 0.01 cm3.g-1, and 9.62 nm, respectively.
3.2.6 Determination of zero-point charge results
For the Determination of zero-point charge, the graph of (pHf-pHi) vs pHi was plotted as shown in Fig. 6. The intersection of the curve with the horizontal line is known as the endpoints of the pHZPC and this value is about pH =10 for the adsorbent. At high pH values (pH> pHZPC), the adsorbent surface is negatively charged, and the adsorption of dye molecules increases because of the electrostatic adsorption between the surface and the cationic dye molecules. At low pH values (pH <pHZPC), as the adsorbent surface, is positively charged, the expected tendency is to reduce the dye adsorption because of the electrostatic repulsion between the cationic dye molecules and the adsorbent surface [29].
3.3 The results of the methylene blue adsorption by the geopolymer adsorbent
3.3.1 Batch adsorption kinetics
Batch adsorption tests were performed to examine the adsorption kinetics and reach equilibrium time. Fig. 7 indicates the concentration decay of methylene blue over time. The concentration of methylene blue decreases over time, and the adsorption rate decreases as the curve slope. Over time, the value of adsorbed dye increases, and the active sites on the adsorbent surface occupy with dye molecules until approaching the adsorption equilibrium. Adsorption capacity in the equilibrium state was calculated to equal 9.82 mg/g for 10 mg/L initial concentration. The results of the study of kinetic models of pseudo-first-order, pseudo-second-order, Elovich, and intraparticle diffusion are given in Table 4. The proximity of the correlation coefficient (R2) to 1 shows less deviation and more accuracy of the model. According to R2 values, the models were well-fitting to the experimental data but, the pseudo-second-order model has the best adjustment. Given the obtained R2 and the proximity of the obtained adsorption capacity with its experimental value as shown in the figure, one can state that the adsorption process was consistent with the pseudo-second-order kinetic model. In the intraparticle diffusion model Ki,1> Ki,2> Ki,3 examines the adsorption steps on the outer surface, inner section, and equilibrium. In the first stage, the molecules of the adsorptive must be transferred from the solution bulk to the adsorbent surface. The adsorbed molecules must pass through the solution boundary layer that surrounds the adsorbent particle, called film diffusion. In the second stage, the adsorbed molecules must penetrate the adsorbent pores. In the last stage, the particle must be attached to the adsorbent surface, which eventually reaches equilibrium.
Table 4. The Linear form of different kinetics models, and the parameters related to different kinetics models for methylene blue adsorption
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)
3.3.2 Continuous adsorption kinetics
The results of the investigation of the effluent solution from the continuous adsorption column (Fig. 8) indicated that over time the dye concentration inside the column increased, which shows that dye adsorption decreased because the adsorbent active sites were saturated by the dye molecules over time. Adsorption capacity in equilibrium state and column saturation was calculated using equation 3 equal to 5.38 and 8.17 mg/g for 5 and 10 mg/L initial concentration, respectively. The adsorption process of methylene blue was investigated using the Thomas, Bohart-Adams, and Yoon-Nelson models, and the adsorption conformity to each model is represented in Table 4. Investigation of the correlation coefficients led to the conclusion that the Thomas and Yoon-Nelson models have the best fitting which states that adsorption of the adsorbate on the adsorbent occurs directly, meaning that the adsorption rate is controlled by the surface reaction between the adsorbate and the unoccupied capacity of the adsorbent.
3.3.3 Investigation of methylene blue adsorption isotherm by geopolymer adsorbent
Adsorption isotherm is one of the most important factors in designing adsorption systems. Indeed, the adsorption isotherm explains how the adsorbent and the adsorbate interact. Thus, it is always considered as a basic factor in determining the adsorption capacity and optimize the adsorbent consumption. The equilibrium of the adsorption process is usually shown by matching experimental data with different isotherm models such as Langmuir, Freundlich, and Temkin models. The models were plotted (Fig. 9) and the results were represented in Table 5. Investigation of the R2 led to the conclusion that the adjusted models were consistent with the experimental data and the Temkin model has the best fitting.
Table 5. Different isotherm models and their parameters
3.3.4 Examining of thermodynamics of methylene blue adsorption by geopolymer adsorbent
Thermodynamics is carried out to see if the process is endothermic and exothermic as well as spontaneous. In this study, Gibbs free energy (∆G), enthalpy (∆H), entropy (∆S), and energy activation (Ea) were examined at temperatures of 298.15 and 313.15 K. The parameters intended were calculated by the Van't Hoff equation and plot (Fig. 10).
$$\text{l}\text{o}\text{g}\left(\frac{{\text{q}}_{\text{e}}}{{C}_{e}}\right)=-\frac{\varDelta H}{2.303 R} \frac{1}{T}+\frac{\varDelta S}{2.303 R}$$ 4
ΔG = ΔH - TΔS (5)
Eα = ΔH + RT (6)
The results of the calculations of the desired parameters are shown in Table 6. Negative values of enthalpy, entropy and Gibbs free energy show the exothermicity, a reduction in irregularity, and spontaneity of the process, respectively.
Table 6
Thermodynamic parameters for methylene blue adsorption process
C0
(mg/L)
|
T
(K)
|
Ea
(kJ/mol)
|
∆G
(kJ/mol)
|
∆H
(kJ/mol)
|
∆S
(J/mol.K)
|
2
|
298.15
|
45.622
|
-1.103
|
-48.121
|
-157.2
|
313.15
|
45.51
|
1.262
|
|
|
4
|
298.15
|
29.713
|
0.781
|
-32.192
|
-104.3
|
313.15
|
29.589
|
-0.799
|
|
|
6
|
298.15
|
27.445
|
0.025 -
|
29.924 -
|
-100.3
|
313.15
|
27.321
|
1.479
|
|
|
8
|
298.15
|
21.319
|
0.291
|
23.798-
|
-80.8
|
313.15
|
21.194
|
1.503
|
|
|
10
|
298.15
|
15.254
|
1.212
|
17.733-
|
-63.5
|
313.15
|
15.130
|
2.165
|
|
|
3.3.5 Examining the effect of various parameters on the adsorption of methylene blue dye
The effect of temperature
Given the adsorption data at various temperatures in Fig. 11a, the adsorption capacity has decreased with an increase in temperature. With the increase in temperature, the adsorption interaction between methylene blue molecules and active sites of the adsorbent decreases, which reduces the dye adsorption.
The effect of initial concentration
The initial concentration of the solution affects the adsorption. According to the results in Fig. 11a, the adsorption increases with an increase in concentration. This process can be explained by the improvement of the driving force that reduces the mass transfer resistance between the adsorptive and adsorbent. At higher concentrations, it provides a fundamental driving force to reduce the mass transfer resistance between the liquid and the solid phases.
The effect of pH
As a key element in adsorption, pH affects the chemical properties of the adsorbent and solution. Methylene blue is a cationic dye with a positive charge in the solution phase. Hence, methylene blue is an ionic species and its adsorption on the adsorbent surface is primarily affected by the adsorbent surface charge, affected by the pH of the solution. The effect of pH was examined in the range of 5 to 9 (Fig. 11b). As can be seen in the Figure, an increase in the percentage of removal dye was observed by both increasing and decreasing pH. At high pH values, the increase of the dye adsorption can be explained as the negative charging of the surface depending on the pHzpc value of the adsorbent. However, at low pH values, the reason for the dye adsorption value not decreasing can be explained as the replacement of the hydrogen ions on the adsorbent surface with the cationic methylene blue dye molecules in the solution. In an acidic medium, the initial pH value of adsorption firstly increases and then reaches an initial value by decreasing can be accepted as an indication of the previous situation.
3.3.6 Regeneration and reusing the adsorbent
Regeneration and reusing are very important in the adsorbent application. Two methods were used to reduce the adsorbent dye. As Fig. 11c shows, the adsorbents are still capable of adsorbing the dye after four cycles of regeneration and reusing, and in the acidic method, the adsorbent has shown better efficiency than the thermal method, which can be because of the adsorbent degradation in the furnace and thus decreasing its weight and as well as decreasing adsorption level.