Ultrahigh Adsorption Capacity Zirconium-Magnesium Composite Oxide Nanoclusters Remove Malachite Green from Aqueous Media

Sun, Yulong; Zheng, Haoxin; Pu, Yanfeng; Yang, Hao; Wang, Jianhong; Zhou, Shuaishuai; Li, Qian; Qiao, Congzhen

doi:https://doi.org/10.1155/2022/1946955

Adsorption Science & Technology

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Abstract Introduction Materials and Methods Results and Discussion Conclusion Data Availability Conflicts of Interest Authors’ Contributions Acknowledgments Supplementary Materials References Copyright Related Articles

Research Article | Open Access

Volume 2022 | Article ID 1946955 | https://doi.org/10.1155/2022/1946955

Ultrahigh Adsorption Capacity Zirconium-Magnesium Composite Oxide Nanoclusters Remove Malachite Green from Aqueous Media

Yulong Sun,¹Haoxin Zheng,²Yanfeng Pu,¹Hao Yang,¹Jianhong Wang,¹Shuaishuai Zhou,¹Qian Li,¹and Congzhen Qiao¹

Academic Editor: Sami-ullah Rather

Received03 Sept 2022

Revised09 Nov 2022

Accepted15 Nov 2022

Published26 Nov 2022

Abstract

The environmental pollution caused by organic dyes has damaged serious harm to human life. Hence, a series of Zr-Mg composite oxide nanoclusters with different metal ratios were synthesized by solvothermal method for adsorption of malachite green in aqueous solution. The optimal adsorbent with Zr/Mg metal molar ratio of 1 : 2 presented good adsorption performance, which adsorption capacity reached 12647.60 mg/g, and removal rate of malachite green reached more than 99%. These adsorbents were characterized by X-ray diffraction, Fourier-transform infrared spectra, nitrogen adsorption-desorption, scanning electron microscope, transmission electron microscope, and other methods. Influence of initial concentration of malachite green solution, pH, adsorption temperature, and contact time on absorption efficiency was investigated through batch experiments. Pseudo-second-order kinetic model can well describe the adsorption kinetic data. The three-parameter Sips isotherm model was more suitable for predicting the experimental results than Langmuir and Freundlich, and the adsorption process was endothermic.

1. Introduction

Along with the needs of human productive activities, the application of dyes in various industries is becoming more and more wide, especially in the textile, leather, paper, plastic, and other industries [1, 2] with the largest application demand. It brings rich colors to human life, but the discharge of dye wastewater into the ecosystem will lead to eutrophication [3] and discoloration [4] of water bodies, which will destroy the ecosystem. It will also pose a threat to human health, with the risk of carcinogenic, teratogenic, and mutagenic [5]. Malachite green (MG) is a typical synthetical triphenylmethane organic compounds, which is not only a common dye but also as an effective fungicide and insecticide [6, 7]. While MG has the characteristics of high toxicity and residue [8] in human body, it will also cause different degrees of damage to the respiratory system, eyes, skin tissue, etc. Therefore, reducing the pollution is not only achieving the goal of protecting the environment but also an effective measure to defend human health.

Like other organic dyes, MG is soluble in water and stable, and it is difficult to achieve effective treatment of dye wastewater pollution in a short time depending on the purification capacity of natural ecosystem. At present, physical or chemical methods such as reverse osmosis, ion exchange, photocatalysis, electrolysis, and filtration [5, 9, 10] technology have been applied to treat dye wastewater. These technologies show explicit advantages, but adsorption is regarded as an effective process method to treat dye wastewater due to its simple operation, low cost, wide material sources, and degradation depth [11–13]. Among the numerous adsorbents, metal oxide adsorbents possess rich adsorption sites, strong chemical stability, high point of zero charge, and crystallinity, meanwhile they are environmentally friendly [14, 15]. Compared with single metal oxide adsorbents, composite metal oxide adsorbents have better adsorption capacity, anisotropy, good mechanical stability, big surface area, and pore volume are part of the reason for its degradation ability [16].

Over the past few decades, zirconium-based composite materials were widely applied in water treatment field in various forms. This is because the introduction of zirconium improved the adsorbent properties such as large specific surface area and pore volume [17], improved physical and chemical stability, plentiful adsorption sites [18], and low diffusion resistance [19–22]. As an alkaline earth metal, magnesium is a wide application in many fields; it also shows good performance in the field of environmental governance. According to the previous studies, it was found that the introduction of magnesium could increase the adsorption capacity of the material for different dyes [23–26]. Renuka et al. [27] prepared Mg doped ZrO₂ nanoparticles by Aloe Vera gel assisted method to degraded Rhodamine B. However, Zirconium-magnesium composite materials have excellent heat resistance and corrosion resistance, and are widely used in industries such as manufacturing high temperature nozzles and steam turbine blades [28], and there are few reports in the field of environmental governance.

In this study, we synthesized a zirconium-magnesium composite oxide nanocluster with ultrahigh adsorption capacity. Firstly, MG removal performance, kinetics, and isotherms were evaluated to obtain an optimized composition of Zr/Mg molar ratio and pH of MG solution. Then, various technologies were used to characterize the prepared adsorbents in order to analyze their surface, morphology, and structural characteristics. Additionally, the reusability of the nanocluster after desorption was evaluated. Finally, the adsorption mechanism was demonstrated by employing characterization techniques. With the aforementioned results, this study is aimed at suggesting an economic, high adsorption, and efficient adsorbent for MG removal.

2. Materials and Methods

2.1. Chemicals for Synthesis

Malachite green (C₅₂H₅₄N₄O₁₂, AR, nm)was purchased from Macklin company. Zirconium nitrate pentahydrate (Zr(NO₃)₄∙5H₂O, ≥99.0%) and magnesium nitrate hexahydrate (Mg(NO₃)₂∙6H₂O, ≥99.0%), KOH (≥96.0%), HCl (36–38%) were obtained from Tianjin Kermel Chemical Reagents Co., LTD. (Tianjin, China) and Sinopharm Chemical Reagents Co., LTD. (Shanghai, China), respectively. Anhydrous ethanol was bought from Tianjin Fuyu Fine Chemicals Co., LTD. (Tianjin, China) and KCl (≥99.5%) from Tianjin Tianda Chemical Experiment Factory. All reagents were directly used without further purification in this study.

2.2. Preparation of Zr-Mg Composite Oxide Nanoclusters

Zr-Mg composite oxide nanoclusters were prepared by solvothermal method [29]. 7.2 mmol Zr(NO₃)₄ 5H₂O and x mol (, 5.4, 7.2, 9.0, 10.8, 12.6, 14.4) Mg(NO₃)₂∙6H₂O were dissolve in 40 mL anhydrous ethanol. The solution was stirred for 30 min after dissolution completely. Then, 40 mL 4 M sodium hydroxide aqueous solution of ethanol was added dropwise in 90 min and stirred for 1 h. The mixture was transferred into an autoclave with Telfon liner, heated at 120°C for 12 h. After natural cooling, the solid sample was washed by deionized water until it was natural. The sample was dried for 8 h at 60°C and calcined at 700°C to obtain the adsorbent, which was denoted as y-ZM (y: the molar ratio of Mg/Zr, ZM: Zr-Mg composite oxide). Likewise, pure ZrO₂ and MgO were prepared in the same way. The schematic diagram of the adsorbents was displayed in Scheme 1.

2.3. Characterization

X-ray Diffraction (XRD) analyses were obtained from Bruker D8 Advance (Bruker, Germany) from 5° to 90° with Cu Kα radiation ( Å). Fourier transform infrared (FT-IR) spectra carried out Bruker Vertex 70 spectrometer (Bruker, Germany) scan with a range of 400-4000 cm^-1. The Autosorb-iQ-MP-C (Quantachrome, American) was employed to determine nitrogen adsorption-desorption isotherm, specific surface area and pore volume were calculated by Brunauer-Emmett-Teller (BET) method; pore size distribution was calculated by Barrett-Joyner-Halenda (BJH) method. The morphology of the samples was analyzed by field emission scanning electron microscope (FESEM) (JEOL JSM-7610F Plus, Japan), and field emission transmission electron microscope (FETEM) JEOL JEM-F200, Japan) with an energy dispersive spectrometer (EDS). The X-ray photoelectron spectroscopy (XPS) was carried out by X-ray diffractometer (ESCALAB250Xi, Thermo Fisher Scientific, American) with Al Kα radiation, C1s binding energy (BE) at 284.8 eV was referenced. pH at the point of zero charge (pH_PZC) was determined as follows [30, 31]. A series of initial pH (pH_initial) from 2 to 12 was adjusted by 0.1 M HCl and 0.1 M KOH. Then, 50 mL KCl solution (0.1 M) with different pH was added to a flask containing 20 mg adsorbent, and the final pH (pH_final) was measured after stirring for 48 h. pH_initial and pH_final were used to calculate the pH_PZC.

2.4. Batch Adsorption Experiments

The 5000 mg/L MG solution was prepared as stock solution, and a certain amount of MG stock solution was diluted to the desired concentration at each experiment. Batch adsorption tests were carried out in sealed conical bottles containing 50 mL MG solution in an air shaker (THZ-100, Shanghai Yiheng Instrument Co., LTD., Shanghai, China). The effects of temperature (303 K, 313 K, and 323 K), initial solution concentration (1000-5000 mg/L), pH [2–7] of MG solution, and time on the adsorption were investigated. The concentration of MG solution was analyzed via a dual-beam UV-Vis spectrophotometer ( nm, length of cm, PERSEE TU-1900, Beijing, China). The adsorption performance of adsorbents for MG were described by (mg/g) and removal rate, it can be calculated as follows: where (g) is the adsorbent dose, (mg/g) is the equilibrium absorption capacity, (mL) is the MG solution volume, and and (mg/L) are the initial and equilibrium MG solution concentration, respectively.

3. Results and Discussion

3.1. Characterization of y-ZM

Figure 1(a) shows the XRD pattern of y-ZM (y =0.50-2.00) and pure ZrO₂. According to Figure 1(a), pure ZrO₂ presented in all y-ZMs in the form of monoclinic phase (PDF#37-1484, m-ZrO₂). The planes (-111) and (111) corresponding two strong diffraction peaks at 28.2° and 31.5° belong to m-ZrO₂. Two strong diffraction peaks at 30.3° and 50.4° belonged to tetragonal zirconia (PDF#50-1089, t-ZrO₂), and the corresponding planes were (011) and (112), respectively. The diffraction peak at 42.9° and its corresponding (200) plane was cubic phase of magnesium oxide (PDF#45-0946), and the intensity of this peak increased with the increase of magnesium abundance. It can be seen from the Figure 1(a) that intensity of the diffraction peak of t-ZrO₂ at 30.3° showed an increase trend with increase of magnesium abundance. Due to a large number oxygen vacancies in MgO [27], m-ZrO₂ will exhibit a tendency transform to tetragonal phase [19]. Therefore, the content of t-ZrO₂ in the adsorbents of y-ZM rises with the increasing of magnesium abundance, which caused the intensity of diffraction peak of t-ZrO₂ at 30.3°.

(a)

(b)

The fraction of t-ZrO₂ in the mixture phase of ZrO₂ (t-ZrO₂ and m-ZrO₂) was calculated by where is the integrate intensity of the XRD line.

Figure 1(b) indicated the abundance of tetragonal phase relative to the monoclinic phase obtained from the analysis. This also showed that the content of t-ZrO₂ phase increased with increase in Mg²⁺ concentration. It indicated that at 700°C, the concentration of oxygen vacancies increases due to the presence of Mg²⁺, and the m-ZrO₂ needed to transform to the t-ZrO₂ to maintain the stability of the material [32]. Changes of oxygen content can also cause phase transition of ZrO₂ [28, 33], the low diffraction peaks intensity of 0.75-ZM and 1.25-ZM at 30.3° may be caused by the lower oxygen content in the calcination process.

XPS analysis of 2.00-ZM was applied to evaluate the element composition and oxidation state, and the results were presented in Figure 2 and Figure S4. The characteristic peaks of Mg, Zr, C, and O elements can be observed in Figure 2(a). Mg 1 s (Figure 2(b)) spectrum fitted by 1302.5, which was in accord with previously reported in the literature for Mg²⁺²⁶. Zr 3d_3/2 at 183.5 eV and Zr 3d_5/2 at 181.2 eV constituted the Zr 3d spectrum (Figure 2(c)). It was reported that the BE of pure ZrO₂ Zr 3d_3/2 and Zr 3d_5/2 is 183.9 and 181.6 eV, respectively, and the BE decreased in this work due to the strong electrophilicity of ZrO₂ [34]. The high-resolution O 1 s spectrum (Figure 2(d)) of 2.00-ZM was divided into two peaks by deconvolution. The BE was concentrated at 529.3 and 531.1 eV, respectively, corresponding to the lattice oxygen in the sample and hydroxyl groups on the surface [27, 35].

(a)

(b)

(c)

(d)

Figure 3 was the FT-IR spectrum of 2.00-ZM before and after adsorption. The peaks at 445 and 755 cm^-1corresponding to the Zr-O stretching vibration of monoclinic ZrO₂, 503 cm^-1 was the Zr-O stretching vibration of tetragonal ZrO₂ [32, 36]. The transmittance enhancement of the broad peak at 1411 cm^-1 may be caused by the C=C stretching vibration in the benzene ring of MG. The Mg-O-Mg vibration modes of MgO [37] appeared between 750 cm^-1 and 583 cm^-1. The peak at 1624 cm^-1 and 3420 cm^-1 was due to H-O-H bending vibration and stretching vibration of -OH of adsorbed water, respectively [9, 38]. The peaks at 1624 cm^-1 and 3420 cm^-1 were shifted a little from the spectrum of 2.00-ZM after adsorption, which was caused by the adsorption of MG on 2.00-ZM. The peak at 3695 cm^-1 was due to the stretching vibration of free -OH [39].

Figure 4(a) and Figure S1(a) showed that the pure MgO mainly exists in three shapes, they existed in the forms of regular quadrilateral and hexagonal, and irregular net-like shapes, respectively. These net-like structures were self-assembled from the open loop as shown in Figure 4(b) and Figure S1(b) as basic units. The self-assembled of these basic units developed into a single-loop, double-loop, irregular network shape as shown in Figure S1(c–e), and finally become a hexagonal shape as shown in Figure S1(a). The size and shape of pure ZrO₂ (Figure 4(c) and Figure S2) were not uniform, there were not only spheres around 30 nm but also clusters mainly existed around 200 nm. Figures 4(d) and 5(a) show that the 2.00-ZM composite metal oxides inherited the morphology of ZrO₂ clusters and the clusters size were basically around 200 nm. These clusters of 2.00-ZM assembled by about 30 nm spheres were beneficial to increase the number of intergranular mesoporous and facilitate the adsorption of MG on the surface of adsorbents.

(a)

(b)

(c)

(d)

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)

Further characterization to the structure of the 2.00-ZM clusters were carried out by TEM, high-angular-annular dark field scanning transmission electron microscopy (HAADF-STEM, Figure 5(b)), and EDS, high-resolution transmission electron microscopy (HR-TEM). Figures 5(c)–5(g) demonstrate the elemental EDS mapping results of 2.00-ZM clusters, confirming the elements of Zr, Mg, and O existed in the prepared 2.00-ZM clusters. Mg exhibited the same contour with O, but distribution of Mg and Zr in some areas is different. This is because the magnesium ions in the divalent cationic state have difficulty getting into the crystal lattice of zirconia [27]. It can be seen that clear lattice fringe from the HR-TEM image shown in Figure 5(h) indicated that the as-prepared samples presented a crystal conformation in nature. The measured lattice spacing is 0.2905 nm, which correspond well to the (011) plane of t-ZrO₂, and further explained the existence of tetragonal zirconia.

Figure S3 were presented nitrogen adsorption-desorption isotherms and pore size distribution for y-ZM, and the corresponding structural parameters were listed in Table 1. According to IUPAC classification, these isotherms belong to type II and type IV isotherms. The relative pressure rose smoothly between 0.2 and 0.8 because of multilayer adsorption of N₂ molecules on the surface of the adsorbents, and rapidly rose between 0.8 and 1.0 is due to occurrence of capillary condensation [32]. From Figure S3(b), existence of adsorption hysteresis indicated that the series of y-ZM were mesoporous materials [40]. It can be seen from Table 1, with the increase of magnesium abundance (y increased from 0.50 to 2.00), V_t and D_ave of the samples gradually increase (V_t increased from 28.697 m [2]/g to 34.550 m [2]/g, D_ave increased from 2.152 nm to 3.708 nm), which can effectively reduce the diffusion resistance and enhance the adsorption rate of dye. But, with the increase of magnesium abundance, S_BET showed an increasing trend. It can be concluded that the abundance of Mg was the dominant factor causing the increase of pore volume and surface, and the adsorption capacity of the adsorbents may increase with the abundance of Mg.

3.2. Determination of the Optimal Adsorbent

In order to determine the optimal Zr/Mg molar ratio, a series of y-ZM NPs with different Mg abundances were investigated as adsorbents for MG removal. From Figure 6, it can be seen that with the increase of “y”, the adsorption capacity of y-ZM for MG also increased. This may be because pore volume played a key role in the adsorption process, it can be seen from Table 1 that the adsorption capacity of y-ZM showed a positive relationship with the pore volume, which make the diffusion resistance effectively reduced. For this reason, the adsorption capacity of y-ZM increased with the increase of abundance of Mg. Therefore, the optimal Zr/Mg molar ratio is 4 : 8.

(a)

(b)

(c)

3.3. Determination of pH_PZC and the pH Effect on MG Adsorption by 2.00-ZM

The pH_PZC of 2.00-ZM is shown in Figure 6(b) and the value was 11.02, which may indicate that the MG removal with 2.00-ZM was more effective at . As shown in Figure 6(c), the experimental results were as expected, and the removal rate of 2.00-ZM for MG in solution can reach more than 99% when . However, removal rate of MG at initial pH of 2 is only about 10%, which may due to the competitive adsorption of excess H⁺ with C₂₃H₂₅N₂⁺ in the solution [41]. The H⁺ adsorbed on the surface of 2.00-ZM causes protonation (Figure 7), which reduced the adsorption capacity of 2.00-ZM to C₂₃H₂₅N₂⁺ due to electrostatic repulsion. The deprotonation of the 2.00-ZM surface makes it maintain negative charge and enhanced the removal of C₂₃H₂₅N₂⁺ when the pH was greater than 2. Moreover, due to the existence of C=C and C-N bonds in C₂₃H₂₅N₂⁺, interaction, interaction, and hydrogen bond may affect the adsorption capacity of MG.

(a)

(b)

(c)

(d)

3.4. Adsorption Kinetics

The kinetics study was carried out at different initial concentration of MG (1000 and 2500 mg/L) and 303 K. In addition, pseudo-first-order (PFO) and pseudo-second-order (PSO) models are used to fit experimental data, and the corresponding model and fitted model parameters of were shown in Figures 8(a)–8(b) and Table S1. It can be seen from the Figure 8(a) that initial adsorption rate was fast, and the initial concentration of MG with 1000 and 2500 mg/L had reached the equilibrium at 80 and 130 min, respectively. This may be because zirconium-based adsorbent has no internal diffusion resistance [19], which makes it easier for MG in aqueous solution to contact with the adsorbent surface, resulting in a fast adsorption rate for MG. The correlation coefficients (R²) of PSO were greater than PFO by fitting calculation, which indicated that chemisorption was the rate-controlling step of the adsorption process [42].

(a)

(b)

3.5. Adsorption Isotherms

When the initial MG concentration were the same, the adsorption capacity of MG onto 2.00-ZM adsorbent in 303 K, 313 K, and 323 K condition were evaluated using adsorption isotherms as given in Figures 8(c)–8(e) and stimulated by Langmuir, Freundlich, Temkin, and Sips [43–45] isotherm models. Equation of Sips model is as follow (Langmuir and Freundlich models were shown in Supplementary Information): where (mg/g) is Sips maximum adsorption capacity, is the equilibrium constant for heterogeneous solid, and is the heterogeneous parameter.

It can be seen from Figure 7(a), the adsorption of MG on the surface of 2.00-ZM was hardly affected by temperature when initial MG concentration were same, which indicated that 2.00-ZM has a wide temperature range. In Figure 7(d) and Table S2, these results were shown that three-parameter Sips model was more appropriate to describe adsorption behavior of MG on the 2.00-ZM than the other two classical two-parameter Langmuir and Freundlich models. Which explained that monolayer and multilayer adsorption coexisted in the process of adsorption [46], and the adsorption occurred on heterogeneous surfaces. According to Figures 7(a)–7(d), the equilibrium adsorption capacity increased with the increase of temperature, which demonstrated that MG adsorption on the surface of 2.00-ZM was endothermic. Table 2 presented the comparison of adsorption for MG with other reported adsorbents. It showed that 2.00-ZM is an efficient adsorbent for MG wastewater treatment.

3.6. Adsorption Mechanism

Combined with characterization of y-ZM, adsorption kinetics and isotherms, mechanism of the adsorption process was discussed. The results show that the adsorption mechanism of MG mainly included pore filling, electrostatic attraction, interaction, and hydrogen bond. Results of N₂ adsorption-desorption showed that increased with the increase of pore volume, indicating that pore filling contributed to adsorption. Significant change of -OH of before and after adsorption of 2.00-ZM were observed from FT-IR spectra, suggested that hydrogen bond and interaction existed between benzene ring in MG molecule and -OH in 2.00-ZM. pH_PZC of 2.00-ZM was determined to be 11.02, indicated that the adsorption mechanism of MG involved electrostatic attraction. The possible adsorption mechanism of MG in this adsorption system is shown in Figure 9.

3.7. Reusability of 2.00-ZM

A thermal regeneration method was used to regenerate adsorbent, 0.15 g of used 2.00-ZM was calcined at 600°C for 4 h. The powder collected after cooling to room temperature can be directly used for adsorption experiments. Due to the loss of adsorbents in the process of recovering the adsorbents, the regeneration experiments were carried out according to the proportion of 0.01 g adsorbents used in 25 mL MG solution. The results of the regeneration experiments are shown in Figure 10, and the removal rate of MG hardly changed with the increase of the number of cycles. The adsorbent capacity of the adsorbent to MG was more than 99% after three cycles of regeneration. These showed that 2.00-ZM has good regeneration stability, efficient, and promising adsorbent in environmental remediation.

4. Conclusion

Nanoclusters of y-ZM was successfully synthesized by solvothermal method. Characterization of XRD showed that Mg was the main reason for crystalline phase transformation of ZrO₂ from monoclinic to tetragonal phase. Morphology and structure analysis indicated that the series of y-ZM retained nanoclusters structure of ZrO₂, and the lattice fringe of tetragonal ZrO₂ was observed by HR-TEM. Results analysis showed that of the series of y-ZM increased with the increase of Mg abundance and pore volume. Moreover, the optimal 2.00-ZM had a wide pH work range [3–7] and maximum adsorption capacity (12647.60 mg/L). Kinetic analysis showed that the pseudo-second-order kinetic model could obtain better correlation than pseudo-first-order model with kinetic data, and 2.00-ZM can reach 99% removal rate for the initial MG concentration of 2500 mg/L in 130 min. The three-parameter Sips isotherm model had a good correlation coefficient, which indicated that monolayer and multilayer adsorption coexisted in the adsorption process. Pore filling, electrostatic attraction, hydrogen bond, and interactions were the main factors affecting the adsorption of MG on the 2.00-ZM surface. 2.00-ZM still maintains a good removal rate for MG after three cycles of regeneration, which demonstrated that the material had high reuse potential and practical application value.

Data Availability

The data used to support the findings of this study are included within the article and Supplementary information files.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Haoxin Zheng contributed equally to this work and can be considered as co-first authors.

Acknowledgments

The investigation was supported by Kaifeng Science and Technology Planning Development Project (2001005).

Supplementary Materials

Supplementary data associated with this article can be found in the Supplementary Information. (Supplementary Materials)

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Copyright © 2022 Yulong Sun 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.

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Adsorption Science & Technology

Ultrahigh Adsorption Capacity Zirconium-Magnesium Composite Oxide Nanoclusters Remove Malachite Green from Aqueous Media

Abstract

1. Introduction

2. Materials and Methods

2.1. Chemicals for Synthesis

2.2. Preparation of Zr-Mg Composite Oxide Nanoclusters

2.3. Characterization

2.4. Batch Adsorption Experiments

3. Results and Discussion

3.1. Characterization of y-ZM

3.2. Determination of the Optimal Adsorbent

3.3. Determination of pHPZC and the pH Effect on MG Adsorption by 2.00-ZM

3.4. Adsorption Kinetics

3.5. Adsorption Isotherms

3.6. Adsorption Mechanism

3.7. Reusability of 2.00-ZM

4. Conclusion

Data Availability

Conflicts of Interest

Authors’ Contributions

Acknowledgments

Supplementary Materials

References

Copyright

3.3. Determination of pH_PZC and the pH Effect on MG Adsorption by 2.00-ZM