Characterization of natural and activated bentonite samples
X‑ray fluorescence (XRF)
The findings revealed an improvement in the properties of the activated bentonite (AB). As shown in Table 1, the iron content was reduced as a result of the magnetic separation process. The chemical analysis indicated that calcium montmorillonite was the primary clay mineral present in the natural bentonite sample, as evidenced by its calcium content. However, after activation, calcium levels decreased while sodium concentration increased. Additionally, the reduction in iron content in the activated sample further confirmed the effectiveness of the magnetic separation technique.
X‑ray diffraction (XRD)
XRD analysis of the natural and activated bentonite samples confirmed that montmorillonite was the primary mineral, accompanied by smaller amounts of kaolinite and quartz. The absence of the dolomite peak in the activated sample suggests its removal during the acetic acid treatment, as illustrated in Fig. 3. The structural alterations identified in the XRD patterns of activated bentonite significantly contribute to improving its adsorption capability. The expansion of interlayer spacing following alkali activation, as evidenced by the shift in diffraction peaks, creates more available sites for heavy metal ion uptake. These modifications enhance the material’s surface area and cation exchange capacity (CEC), leading to more effective adsorption of Cu2⁺, Pb2⁺, and Ni2⁺ from aqueous solutions. Additionally, the improved crystallinity and phase composition of activated bentonite strengthen its ability to retain metal ions by supporting monolayer adsorption.
Fourier‑transform infrared spectroscopy (FTIR)
The FTIR spectra of natural and activated bentonite samples, presented in Fig. 4, illustrate the presence of characteristic functional groups. Notably, the stretching vibrations associated with Si–O and Si–O–Al bonds appear at 540 cm-121, while the peak at 905 cm−1 is attributed to Si–O–Si–O–Al stretching21. The peak observed at 800 cm−1 corresponds to O–Si–O stretching. A broad band near 3433 cm−1 is associated with the stretching vibrations of OH or H2O molecules, possibly present on the clay surface, and the peak at 1633 cm−1 is linked to H–O–H bending vibrations22. The O–H stretching vibration of structural hydroxyl groups in montmorillonite appears at 3633 cm-1. Furthermore, both natural and activated bentonite samples display distinct peaks near 995 cm-1 and 912 cm-1, corresponding to Si–O and Al–O stretching vibrations, respectively23. The modifications observed in the FTIR spectra after activation indicate the formation of additional hydroxyl (–OH) and silanol (Si–OH) functional groups, which play a vital role in the adsorption mechanism. These functional groups serve as active binding sites for metal ions, promoting both surface complexation and ion exchange. The enhanced presence of hydroxyl groups following activation strengthens the interaction between metal ions and the bentonite surface, ultimately boosting adsorption efficiency.
Swelling index
The swelling index results indicate a significant improvement in the bentonite sample after activation. As shown in Table 2, the swelling index of activated bentonite increased to 27 ± 1.1 mL/2 g, compared to 7 ± 0.4 mL/2 g for natural bentonite.
Cation exchange capacity
The cation exchange capacity (CEC) was evaluated using BaCl2 as the saturating cation. As shown in Table 2, activation with 5% Na2CO3 significantly enhanced the CEC, increasing from 45 ± 1.4 meq/100g in natural bentonite to 60 ± 2.0 meq/100g in activated bentonite.
Point of zero charge determination
Figure 5 depicts the point of zero charge (pzc) assessment for both natural and activated bentonite using the pH drift method. The pzc, defined as the pH at which the surface has no net charge (ΔpH = 0), was determined to be 7.3 for natural bentonite and 7.9 for activated bentonite. This parameter is essential for understanding how bentonite’s surface charge changes with pH. When the solution pH is below the pzc, protonation of surface hydroxyl groups occurs, creating a net positive charge on the edge sites, while the basal surfaces remain negatively charged. This leads to electrostatic repulsion, reducing metal cation adsorption. In contrast, at pH levels above the pzc, deprotonation of surface hydroxyl groups results in a net negative surface charge, which strengthens as pH increases. This negative charge enhances electrostatic attraction, facilitating metal cation adsorption.
Scanning electron microscope (SEM)
Figure 6 presents SEM images and EDX spectra of natural and activated bentonite, providing insight into the adsorption mechanism. Natural bentonite has a dense and less porous structure, while activation results in a more fragmented and highly porous form. The alkali activation process alters the material’s structure, expanding its surface area and increasing the number of active adsorption sites, thereby improving its capacity to trap heavy metal ions. The enhanced porosity of activated bentonite promotes better metal ion diffusion, ensuring greater interaction with adsorption sites24. Additionally, the rougher surface texture and increased pore volume create more opportunities for ion exchange and surface complexation, enhancing its efficiency in adsorbing Cu2⁺, Pb2⁺, and Ni2⁺. The EDX spectra confirm the elemental makeup of the samples, indicating significant changes in element distribution post-activation.
Adsorption studies using natural and activated bentonite samples
Effect of pH
To examine the impact of pH on the adsorption of copper, lead, and nickel onto bentonite clay, a series of single-component aqueous solutions (50 mL each) containing 20 mg/L of Cu2⁺, Pb2⁺, and Ni2⁺ were prepared at varying pH levels ranging from 1 to 9. The pH adjustments were made using HCl and NaOH. A 0.05 g portion of both natural and activated bentonite (equivalent to 1 g/L) was introduced as the adsorbent, and the mixtures were agitated at 20 °C for 120 min in a water bath shaker. The remaining metal concentrations in the solutions were analyzed using a GBC atomic absorption SavantAA spectrometer after generating a reference calibration curve. The adsorption capacities of activated bentonite for each metal ion were determined as follows: Cu2⁺; 2.6 ± 0.01, 4.6 ± 0.03, 10.6 ± 0.03, 14 ± 0.03, and 19 ± 0.05 mg/g; Pb2⁺; 2.2 ± 0.03, 3.4 ± 0.02, 9.2 ± 0.04, 13 ± 0.04, and 18.4 ± 0.05 mg/g; and Ni2⁺;1.4 ± 0.008, 2.9 ± 0.02, 8.16 ± 0.03, 12.2 ± 0.05, and 15 ± 0.04 mg/g at pH levels of 1, 3, 5, 7, and 9, respectively. The results indicated that activated bentonite exhibited superior adsorption performance compared to its natural counterpart.
Overall, adsorption capacity was observed to decrease at lower pH levels. This trend can be attributed to the competitive interaction between metal cations and hydronium (H3O⁺) ions for available adsorption sites on the bentonite surface. At highly acidic conditions, the abundance of H3O⁺ ions overshadow metal ions, leading to surface saturation with H3O⁺, thereby reducing metal uptake. As pH increases, H3O⁺ ions gradually vacate the surface, making more binding sites accessible for metal ions, ultimately enhancing their adsorption onto bentonite25. The sharp increase of adsorption of heavy metals at pH > 8 may be because of their hydroxide precipitation on adsorbent surface and these results agreed with results of previous study26. The adsorbent capacity of the examined heavy metals was determined in the following order: Cu2+ > Pb2+ > Ni2+, as seen in Fig. 7.
Effect of the adsorbent dose
The effect of adsorbent dosage was studied to identify the optimal amount for heavy metal removal. The findings indicate that increasing the adsorbent dose enhances the adsorption capacity, as anticipated, owing to the increased availability of adsorption sites on the adsorbent surface. Concentrations of natural and activated bentonite were tested at 0.25, 0.5, 0.75, 1, and 1.25 g/L, using 50 mL of a 20 mg/L single solution of Cu2+, Pb2+ and Ni2+ at pH 7 and 20 °C for 120 min, as shown in Fig. 8. The residual solution was analyzed using GBC AA. It was found that increasing the adsorbent dosage from 0.25 to 1.25 g/L significantly improved the adsorption capacities (3.56 ± 0.04, 6.86 ± 0.03, 10.18, 14 ± 0.5 and 16.84 ± 0.05 mg/g for Cu2+, 3.04 ± 0.02, 6.38 ± 0.03, 9.18 ± 0.04, 13 ± 0.04 and 15.62 ± 0.05 mg/g for Pb2+ and 2.86 ± 0.03, 5.92 ± 0.04, 8.54 ± 0.04, 12.2 ± 0.05 and 14.76 ± 0.04 mg/g for Ni2+), which can be attributed to the increased availability of exchangeable sites in the bentonite clay structure27. The findings demonstrated that the activation of bentonite enhanced the adsorption capacity and removal efficiency.
Effect of contact time
The adsorption capacity of activated bentonite steadily increased with time, reaching equilibrium at 120 min under controlled conditions: 50 mL of a 20 mg/L single-metal solution, pH 7, a temperature of 20 °C, and an adsorbent dosage of 0.05 g (1 g/L), as illustrated in Fig. 9. The influence of contact time on Cu2+, Pb2+, and Ni2+ adsorption was examined at different time intervals. The results indicated a rapid adsorption rate within the first 20 min, aligning with previous studies that have reported swift metal ion uptake within 10–20 min.
At the initial phase of adsorption, a large number of available surface sites facilitate metal ion binding. However, as time progresses, occupying the remaining vacant sites becomes more challenging due to repulsive interactions between the solute molecules. The quick electrostatic attraction of heavy metal ions at neutral pH is primarily due to the negatively charged surface of the bentonite, which enhances metal ion removal from the solution18. At equilibrium, after 120 min at 20 °C, the adsorption capacities were 9.2 ± 004, 11.4 ± 0.03, 12.6 ± 0.04, 13.8 ± 0.02 and 14 ± 0.03 mg/g for Cu2+, 8.2 ± 0.03, 10.6 ± 0.02, 11.8 ± 0.04,12.6 ± 0.05 and 13 ± 0.04 mg/g for Pb2+, and 7.4 ± 0.01, 10 ± 0.03, 11 ± 0.04, 11.8 ± 0.04 and 12.2 ± 0.05 mg/g for Ni2+, respectively, with activated bentonite which showed improvement more than natural bentonite.
Effect of initial metal ion concentration
The findings indicated that the adsorption capacity (mg/g) diminished as the initial concentration increased, as seen in Fig. 10. It was observed that adsorption capacity of heavy metals on the activated and natural bentonite samples decreased by increasing the initial metal concentration (50 ml of 10, 20, 30, 40, 50 mg/L of single component solutions) and these results agreed with previous study28 While keeping the other variables constant (1 g/L bentonite, 20 °C, pH 7, and 120 min), this could be attributed to the insufficient number of active sites available for interaction with the adsorbate. The adsorption capacity of activated bentonite was 19 ± 0.04, 14 ± 0.03, 9.94 ± 004, 7.9 ± 0.02 and 6.52 ± 0.03 mg/g for Cu2+, 17.8 ± 0.04, 13 ± 0.04, 6.27 ± 0.03, 4.85 ± 0.05 and 3.92 ± 0.04 for Pb2+, and 16 ± 0.05, 12.2 ± 0.05, 5.67 ± 0.04, 4.35 ± 0.03 and 3.76 ± 0.04 mg/g for Ni2+.
Effect of temperature
The adsorption efficiency of activated bentonite for heavy metals improved with increasing temperature, likely due to enhanced molecular interactions and accelerated reaction kinetics at the adsorbent-adsorbate interface. Higher temperatures may also induce structural expansion in the bentonite layers, facilitating metal ion diffusion29. This effect was examined by adjusting the temperature to 20, 30, 40, 50, and 60 °C while maintaining constant parameters: 50 mL solution containing 20 mg/L of heavy metal, pH 7, an adsorbent dose of 1 g/L, and a contact period of 120 min. The adsorption capacities recorded for Cu2⁺ were 14 ± 0.03, 14.4 ± 0.06, 15 ± 0.05, 15.5 ± 0.06, and 15.8 ± 0.04 mg/g; for Pb2⁺, 13 ± 0.04, 13.6 ± 0.06, 14.2 ± 0.05, 14.6 ± 0.03 and 15.2 ± 0.05 mg/g; and for Ni2⁺, 12.2 ± 0.05, 12.6 ± 0.04, 13.06 ± 0.05, 13.4 ± 0.06 and 13.7 ± 0.05 mg/g, as illustrated in Fig. 11.
Adsorption kinetics
To better understand the mechanism of heavy metal adsorption onto activated bentonite, the subsequent kinetic models were employed to interpret the experimental results.
Pseudo first order model
This kinetic model can be expressed as follows30:
$$\textHalo\left(para_pengemar-slot!_pernahkah\right)= \textmendengarsemboyan_”slot gaco”-jika_belum t$$
(4)
where qe and qt denote the quantity of metal ion adsorbed on the adsorbent (mg/g) at equilibrium and at time t, respectively, K1 signifies the rate constant for first-order adsorption (min-1). By plotting ln (qe–qt) against time (t), a linear relationship is obtained, from which the first-order rate constant (K1) and equilibrium adsorption capacity (qe) are determined from the slope and intercept, respectively. As shown in Fig. 12, the R2 values for Cu2⁺, Pb2+, and Ni2+ are 0.6619, 0.6924, and 0.7278, respectively.
Pseudo second order model
The adsorption data were analyzed using the pseudo-second-order model, represented by the following equation30:
$$\fracsiap-siapjika=\fracslot demobelum+\fracseringsatu-satunya$$
(5)
Figure 13 demonstrates that the correlation coefficient (R2) values were 0.9079 for Cu2+, 0.9949 for Pb2+, and 0.9963 for Ni2+. The results indicate that the adsorption of Cu2+, Pb2+, and Ni2+ ions onto the activated bentonite surface conforms to the pseudo-second-order model. This implies that the adsorption process is primarily controlled by chemical sorption, suggesting the involvement of valence forces, ion exchange, or covalent bond formation31.
Adsorption isotherm models
The adsorption isotherm illustrates the equilibrium relationship between the concentration of the adsorbate in the liquid phase and its concentration on the adsorbent surface under specific conditions. Langmuir and Freundlich isotherm models were used to establish the relationship between the amounts of Cu2+, Pb2+, and Ni2+ ions adsorbed by activated bentonite clay and their equilibrium concentrations in the aqueous solution.
Langmuir isotherm model
The linear representation of the Langmuir isotherm model, which characterizes monolayer adsorption on a surface with a finite number of uniform binding sites, is articulated by the subsequent equation32:
$$\frachatikonsep= \fraccome backraja slot+ \fracadalahslots$$
(6)
In this context, qmax signifies the maximum monolayer adsorption capacity (mg/g), Ce indicates the equilibrium concentration of metal ions in solution (mg/L), qe refers to the amount of metal ions adsorbed per gram of activated bentonite at equilibrium (mg/g), and KL represents the Langmuir constant associated with the affinity of the binding sites (L/mg). The Langmuir isotherm assumes the formation of a single monolayer during the reaction, with fixed positions for the adsorbate, no interaction between the adsorbate and adsorbent, and no overlap between adsorbate molecules on the surface33. The correlation coefficients for the Langmuir isotherm were 0.9979 for copper, 0.9972 for lead, and 0.9973 for nickel, as shown in Fig. 14. This signifies that the Langmuir isotherm effectively characterizes Cu2+, Pb2+, and Ni2+ adsorption onto bentonite clay, implying that the adsorption process transpires as anticipated. The calculated maximum monolayer capacities (qmax) were 14 ± 0.03 mg/g for Cu2+, 13 ± 0.04 mg/g for Pb2+, and 12.2 ± 0.05 mg/g for Ni2⁺.
The Langmuir isotherm’s essential properties can be represented by RL, a dimensionless constant referred to as the separation factor or equilibrium parameter. The value of RL is determined using the following equation34:
$$Bro and Sis_beri= \fractenangsering$$
(7)
Co indicates the initial concentration of metal ions (mg/L), whereas KL signifies the Langmuir adsorption equilibrium constant (L/mg). The RL parameter serves as a more reliable indicator of the adsorption process. It specifies the arrangement of the isotherm as follows: unfavorable (RL > 1), linear (RL = 1), favorable (0 L L = 0)35. The computed RL values for Cu2+, Pb2+, and Ni2+ in this investigation were determined to be within the interval of 0 L L varied from 0.0097 to 0.0466 for Cu2+; while it ranged from 0.014 to 0.066 for Pb2+, and it spanned from 0.0306 to 0.1361 for Ni2+, as seen in Fig. 15.
Freundlich isotherm model
The following equation expresses the linear form of the Freundlich model36:
$$log \, q_saat \, = \,log \, K_sekarang \, + \,1/n \, log \, C_hanya satu$$
(8)
As presented in Fig. 16, the correlation coefficients (R2) for Cu2+, Pb2+, and Ni2+ were 0.9661, 0.9910, and 0.9954, respectively. These values suggest that the Freundlich isotherm model provides a less accurate fit for the adsorption data. Therefore, the Langmuir isotherm provided a better fit for the adsorption of Cu2+, Pb2+, and Ni2⁺.
Thermodynamics studies
The thermodynamic parameters ΔH° and ΔS° were determined from the slope and intercept of the Van’t Hoff plot of ln KL versus 1/T (Fig. 17). The negative values of Gibbs free energy change (ΔG°) for Cu2+, Pb2+, and Ni2+ adsorption confirm that the process is spontaneous and thermodynamically favorable. These values also indicate the presence of electrostatic interactions between the metal ions and the activated bentonite surface. Furthermore, the magnitude of ΔG° reflects the strength of metal ion binding, where more negative values correspond to stronger interactions. This adsorption behavior is influenced by the electrical, chemical, and structural properties of activated bentonite. The enthalpy change (ΔH°) provides insights into the energy dynamics of the adsorption process37. The positive ΔH° values for Cu2+, Pb2+, and Ni2+ as illustrated in Table 3 confirm that the process is endothermic, meaning that adsorption efficiency improves with increasing temperature. Similar studies have been previously observed38. In general, ΔH° values below 20 kJ/mol suggest a physical adsorption mechanism, while values exceeding this range indicate additional processes such as ion exchange, which involves weak chemical interactions. The entropy change (ΔS°) provides further insight into adsorption behavior, particularly in terms of molecular arrangement. A negative ΔS° suggests that metal ions assume a more ordered configuration on the bentonite surface, leading to reduced system randomness. Conversely, a positive ΔS° implies structural modifications in both the adsorbent and adsorbate during the adsorption process. Overall, the thermodynamic analysis confirms that heavy metal adsorption onto activated bentonite is spontaneous, endothermic, and influenced by electrostatic interactions and ion exchange.
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