Next Article in Journal
Plant-Mediated Synthesis of Electrocatalytically Active Cd–Cs Mixed Oxide Nanocomposites and Their Multifunctional Antioxidant and Anticorrosive Performance
Previous Article in Journal
The Effect of Co/TiN Interfaces on Co Interconnect Resistivity
Previous Article in Special Issue
The Supramolecular Structure Modulates the Acidity of Amphiphiles
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Comparative Study on Cation Adsorption and Thermodynamic Characteristics of Clay Minerals in Electrolyte Solutions

1
Research Institute of Petroleum Exploration & Development, China National Petroleum Corporation, Beijing 100083, China
2
School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100083, China
3
State Key Laboratory of Enhanced Oil & Gas Recovery, Beijing 100083, China
4
Institute of Porous Flow and Fluid Mechanics, The Chinese Academy of Sciences, Beijing 100083, China
5
PetroChina Changqing Oilfield Company, No. 3 Oil Production Plant, Yinchuan 750001, China
6
School of Pharmacy, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
*
Authors to whom correspondence should be addressed.
Surfaces 2025, 8(4), 90; https://doi.org/10.3390/surfaces8040090
Submission received: 28 October 2025 / Revised: 25 November 2025 / Accepted: 3 December 2025 / Published: 15 December 2025

Abstract

The interaction between clay minerals and electrolyte solutions critically affects waterflooding efficiency in enhanced oil recovery (EOR). This study systematically investigated the adsorption and thermodynamic properties of montmorillonite, illite, and kaolinite in different cationic solutions (K+, Na+, Ca2+, Mg2+), integrating adsorption isotherm analysis with immersion calorimetry for the first time. Montmorillonite showed the highest adsorption capacity, with the cation affinity following K+ > Na+ > Ca2+ > Mg2+. The highest immersion enthalpy was observed in KCl solution, indicating the dominant roles of ionic radius and solvation energy. Cation adsorption induced deformation of clay lamellae and modification of Si-O and Al-OH groups. These findings suggest that optimizing injected ion composition can enhance reservoir stability and waterflood performance, providing thermodynamic insights for EOR process optimization.

1. Introduction

Clay is a common type of layered silicate mineral, consisting of alternating arrayed layers of silicon-oxygen tetrahedra and aluminum-oxygen octahedra interconnected by hydrogen bonds or other weaker van der Waals forces [1,2,3,4,5]. As we know, the characteristics of the clay/electrolyte interface play a critical role in numerous processes of various applications [6,7,8,9,10]. The surface of clay minerals is typically negatively charged, forming a double-layer structure with ions in the electrolyte solution. At the clay/electrolyte interface, water molecules and ions can enter and be adsorbed within the interlayer spaces of clay minerals, leading to the expansion or contraction of the clay [11,12,13,14,15]. Some ions undergo non-specific adsorption with the clay surface through electrostatic attraction, while others form specific adsorption at active surface sites, even resulting in chemical bonding [16,17,18]. In the field of petroleum extraction, waterflooding is a commonly used EOR technique, where the adsorption and ion exchange behavior of clay minerals significantly influence the stability of the reservoir and the flow characteristics of the fluids during the waterflooding process. Studies have shown that the interaction between electrolyte solutions and clay minerals during waterflooding can affect the efficiency of the process, particularly by altering the surface properties and dispersion characteristics of the clay minerals. This can effectively improve the mobility of water, thereby enhancing the oil recovery from the reservoir.
It has been reported that the interaction between clay minerals and electrolyte solutions was significantly influenced by layered structure, surface charge, and porosity of clay minerals, as well as the concentration and ion types in electrolyte solutions. For example, it has been found that the exchange of cations with different valence states in montmorillonite exhibits distinct selectivity, in which divalent cations typically exhibit more stable associations formed within the interlayers of clay minerals compared to monovalent cation [19,20,21]. Some researchers highlight the significance of hydrated ions in the interactions between clay minerals and electrolyte solutions, revealing the crucial role of hydration degree and ionic radius in the ion exchange process [22,23]. It has been revealed that elevated temperatures accelerate mineral dissolution and cation migration, significantly altering the stability of mineral structures and their adsorption capacity [24,25,26]. Despite some advance in interaction mechanisms between clay minerals and electrolyte solutions, the specific processes and influencing factors of these mechanisms still require further in-depth study. Especially, the electrolyte solutions commonly used are mixed electrolyte solutions in petroleum extraction. Although there has been extensive research on the interaction between single ions and clay minerals, these studies predominantly rely on single experimental methods, lacking a multidimensional and systematic analysis [27,28,29]. Further studies are needed to uncover the complex interaction mechanisms involved.
Herein, we investigated the adsorption behavior and thermodynamic properties of montmorillonite, illite, and kaolinite in different cationic solutions, for the first time combining adsorption isotherms and immersion enthalpy to provide a systematic quantitative comparison. The results showed that the adsorption capacity of all three clay minerals increases with the concentration of cations, with montmorillonite exhibiting the highest adsorption capacity. The adsorption capacity of the different cations follows the order: K+ > Na+ > Ca2+ > Mg2+. Additionally, cation adsorption leads to significant changes in the surface morphology and surface groups of the clay minerals, primarily owing to that the strong interactions between the cations and the mineral surfaces altered the crystal morphology of the minerals. These quantitative principles provide a theoretical foundation for interface optimization in engineering processes such as oil and gas development and environmental remediation.

2. Materials and Methods

2.1. Materials

The clay minerals (montmorillonite, illite and kaolinite) were purchased from Guzhang Shan Lin Shi Yu Mineral Co., Ltd. (Guzhang, China). All of electrolytes (NaCl, KCl, CaCl2, MgCl2) were of analytical grade and obtained from Beijing Chemical Co., Ltd. (Beijing, China). Water was purified using a Milli-Q system with the final resistivity of 18 MΩ·cm. All the chemicals were commercially sourced and used without any further purification.

2.2. Experimental Methods

2.2.1. Measurement of Swelling Capacity

Firstly, weigh 1.00 g of montmorillonite dry sample. Place the sample into a graduated cylinder containing 50 mL of water, then securely close the cylinder with a stopper. Hold the cylinder and shake it in an up-and-down direction approximately 300 times. Open the stopper of the cylinder and add 25 mL of hydrochloric acid, then add water to bring the volume to the 100 mL mark. The addition of hydrochloric acid adjusts the pH and ionic strength of the suspension to a controlled acidic environment, facilitating edge-face aggregation of clay platelets and forming a stable, expanded sediment with a clear sediment–supernatant boundary, thereby enabling reproducible determination of the swelling capacity. Securely close the stopper again and shake the cylinder about 200 times. Allow the graduated cylinder to stand undisturbed on a flat surface for 24 h. Afterward, record the scale value of the sediment interface (accurate to ±0.5 mL). The swelling capacity is calculated using the following equation:
V s = V / m
where Vs is the swelling capacity, in mL/g; V is the volume of the sediment, in mL; m is the mass of the sample, in g.

2.2.2. Batch Adsorption Experiments

Firstly, 0.2 g of ore was added in a 50 mL flask, followed by 30 mL of the prepared electrolyte solution with a specific concentration. Then, the flask was placed in a constant-temperature shaker and oscillated at 80 rpm for 24 h. Upon completion of the shaking process, the mineral suspension was transferred into a centrifuge tube and centrifuged at 9000 rpm for 10 min. The supernatant was collected and filtered after centrifugation. The concentration of the supernatant (C, mmol/L) is determined by ion chromatography. The initial concentration of the electrolyte solution is denoted as C0 (mmol/L), V (L) represents the volume of the added solution, and m (g) refers to the mass of the added mineral sample. The calculation formula for the cation adsorption on the mineral surface (q) is as follows:
q = ( C 0 C ) V m

2.2.3. Microcalorimetric Experiments

Microcalorimetric experiments were conducted using a C80 microcalorimeter (Setaram, Lyon, France), with the sample cell temperature controlled at 25 ± 0.1 °C (temperature stability ±0.1 °C). Firstly, 100 mg of clay powder was added to the reaction cell, and the lower chamber was sealed with a polytetrafluoroethylene (PTFE) membrane. Then, 2 mL of deionized water or electrolyte solution (100 mmol/L) was added to the upper chamber, which was also sealed, ensuring that the sample and reference cells were in identical conditions, and the system temperature was maintained at 25 ± 0.1 °C. After equilibrating for 60 min at 25 ± 0.1 °C, the reference cell remained unchanged, and the PTFE membrane of the sample cell was pierced with the top of a stirrer to allow thorough mixing of the solution with the clay. During this process, the heat changes in the sample cell were recorded until equilibrium was reached, and no further heat flow was observed. The time required to reach equilibrium was approximately 120 min. By integrating the heat flow curve, corrected for baseline, the heat released during the mixing of clay with water or salt solution was determined. The immersion enthalpy refers to the change in system enthalpy when a clay mineral is fully immersed in water or electrolyte solution. Under constant pressure conditions, the immersion enthalpy can be directly represented by the heat change measured using the immersion calorimetry method.

2.3. Characterization Methods

The micromorphology of the samples was examined using a S-4800 scanning electron microscope (SEM, Hitachi, Tokyo, Japan) operating under vacuum at an acceleration voltage of 20 kV. X-ray diffraction (XRD) analysis was conducted with a Siemens D500 powder X-ray diffractometer, scanning in the 2θ range of 5°~70°. Fourier Transform Infrared (FT-IR) spectra were recorded using a Nicolet 6700 FT-IR spectrometer equipped with a Smart Orbit diamond micro-ATR accessory (Thermo Scientific, Waltham, MA, USA).

3. Results and Discussion

Montmorillonite, illite, and kaolinite are typical clay minerals commonly found in oil reservoirs, each possessing distinct interlayer structures and surface characteristics. Their interactions with electrolyte solutions play a significant role in influencing the oil displacement efficiency during waterflooding processes. The scanning electron microscopy (SEM) was used to analyze the distinct microstructural characteristics of montmorillonite, illite and kaolinite, revealing their unique crystalline structures. As shown in Figure 1, montmorillonite exhibits a layered, plate-like morphology with noticeable interlayer spaces. The plates are stacked together through face-to-face, face-to-edge, and edge-to-edge interactions, with the average particle size ranging from 1~10 μm. Illite exhibits relatively smaller and more aggregated particles with a rougher surface and appears less stratified compared to montmorillonite. The particles display an irregular, angular sheet-like and fine flaky crystalline form, with individual layer thicknesses ranging from approximately 50~100 nm. Kaolinite demonstrates a well-organized plate-like structure with tightly stacked layers and minimal interlayer spacing, resulting in a densely packed arrangement. The observed smooth and flat surfaces of the plates suggest a structurally stable mineral, with the diameter ranges from approximately 1~3 μm. As shown in Table S1, montmorillonite, kaolinite, and illite are all aluminosilicate minerals. Montmorillonite contains small amounts of Na+ and Mg2+, indicating it is a sodium-based montmorillonite. Kaolinite is a pure aluminosilicate, while illite contains small amounts of K+.
X-ray diffraction (XRD) was employed to further characterize the structure and composition of the three types of clay minerals (Figure 2a). The standard reference cards (PDF) were used for comparison analysis to confirm the diffraction peaks of each mineral and calibrate the experimental data. By comparing with the standard reference cards (PDF#00-029-1498, PDF#00-006-0221, PDF#00-026-0911), the main characteristic diffraction peaks of montmorillonite, kaolinite, and illite were identified, and their positions were marked on the XRD pattern. The standard cards provide precise crystallographic information, ensuring the accurate identification of the mineral compositions. The XRD pattern of montmorillonite shows relatively broad diffraction peaks, with the characteristic diffraction peak of the (001) facet at 7.1° (d001 = 12.44 Å), indicating that montmorillonite has a large interlayer spacing and a certain degree of structural disorder (JCPDS 00-029-1498). In contrast, the XRD patterns of illite and kaolinite exhibit strong and distinct diffraction peaks, reflecting their smaller interlayer spacing and higher degree of crystallinity. The dioctahedral structure of kaolinite is demonstrated by its characteristic diffraction peaks at 12.3° and 24.9°, corresponding to the (001) and (002) facets (d001 = 7.19 Å; d002 = 3.57 Å), respectively (JCPDS 00-006-0221), while the characteristic diffraction peaks of illite at 8.8° (d001 = 10.04 Å) and 26.7° (d003 = 3.34 Å) suggest its trioctahedral layered structure (JCPDS 00-026-0911). Although the XRD patterns predominantly correspond to the analyzed clay minerals, some minor peaks were observed, which may correspond to trace impurities such as quartz or feldspar.
Furthermore, the Fourier transform infrared spectroscopy (FT-IR) was used to analyze the molecular structures and chemical compositions of clay minerals (Figure 2b). Montmorillonite and illite show broad absorption bands around 3620 cm−1 for sharp O-H stretching vibrations, indicating the presence of hydroxyl groups, which are typically associated with interlayer water or surface hydroxyl groups. Kaolinite is distinctive for multiple sharp O-H stretching bands around 3695, 3650, 3620, and 3600 cm−1, indicating its well-ordered structure and inner-surface hydroxyl groups. Additionally, the observed 1000–1100 cm−1 region should be ascribed to Si-O stretching vibrations, while the Al-O-H bending vibration appeared at approximately 910 cm−1 for the three clay minerals. Table S2 presents the specific surface area and average pore size data of different clay minerals obtained through N2-BET analysis. The results indicate that illite exhibits the highest specific surface area (28.933 m2/g), followed by montmorillonite (12.105 m2/g) and kaolinite (12.434 m2/g). In contrast, montmorillonite has the largest average pore size (18.423 nm), while illite and kaolinite have average pore sizes of 14.811 nm and 16.395 nm, respectively. In order to investigate the swelling properties of different clay minerals, we measured the swelling capacity of three clay minerals. The results show that montmorillonite has the highest swelling capacity, approximately 52.3 mL/g, indicating strong hydration due to the readily available sodium ions between the layers. Illite exhibits a swelling capacity of 21.6 mL/g, which is lower than that of sodium montmorillonite, as potassium ions are less effective at promoting hydration. Pure kaolinite has the lowest swelling capacity, only about 7.2 mL/g, suggesting minimal swelling behavior, likely due to its stable structure and the lack of ions capable of significant hydration between its layers. This indicates that the swelling behavior of clay minerals is heavily influenced by their ionic composition and structural characteristics. These results provide a foundation for further investigation into the adsorption properties of different clay minerals.
Previous studies have been reported that the adsorption capacity of clay minerals is mainly determined by their own characteristics, such as structure type, specific surface area, and surface charge. Cation exchange capacity (CEC) is an important parameter reflecting the adsorption capacity of clay minerals. Through the ammonium chloride-absolute ethanol method, the CEC values of montmorillonite, illite, and kaolinite were determined to be 72.23 ± 3.39 mmol·(100 g)−1, 26 ± 2.17 mmol·(100 g)−1, and 8.61 ± 0.72 mmol·(100 g)−1, respectively. The adsorption of different metal ions on clay minerals is shown in Figure 3. It can be observed that the equilibrium adsorption capacity of clay minerals for cations increases with the initial concentration of cations, which is primarily attributed to the dynamic equilibrium between the unsaturated active adsorption sites in clay and the cation concentration. The adsorption characteristics of clay minerals for different cations referred from the saturation adsorption values of these isotherms are summarized as follows: (1) For the same cation, the adsorption capacity of the three clay minerals follows the order: montmorillonite > illite > kaolinite; (2) For the same clay mineral, the adsorption capacity for cations is ranked as K+ > Na+ > Ca2+ > Mg2+. Clearly, the adsorption trends observed in the data align with the CEC results, suggesting that the adsorption capacity of clay minerals is closely related to their cation exchange capacity. This indicates that the adsorption behavior is largely driven by ion exchange processes. Montmorillonite, which contains sodium ions (Na+) and has a higher CEC, demonstrates a stronger affinity for cations, particularly divalent ions such as Ca2+ and Mg2+. In contrast, illite, which contains potassium ions (K+), exhibits a lower cation exchange capacity and, consequently, a weaker adsorption affinity for other cations. The presence of sodium and potassium ions in montmorillonite and illite further influences their ability to adsorb other cations through ion exchange, underscoring the significant role of ion exchange in the adsorption process.
To further analyze the adsorption data, the Langmuir adsorption model was applied to fit the experimental results and estimate the key parameters. The Langmuir adsorption model is expressed by the following equation:
q e = q max K L C e 1 + K L C e
where qe is the amount of adsorbate adsorbed per unit mass of the adsorbent at equilibrium (units: mmol/g); qmax is the maximum adsorption capacity (units: mmol/g), which represents the amount of adsorbate when the adsorption sites are fully saturated; KL is the Langmuir constant (units: L/mmol), which indicates the affinity of the adsorbent for the adsorbate; Ce is the concentration of the adsorbate in the solution at equilibrium (units: mmol/L).
The resulting parameters are presented in Table 1, Table 2, Table 3 and Table 4, and the experimental data were successfully fitted to the Langmuir adsorption model, with the Langmuir coefficient R2 close to 1 for all cases, indicating a strong correlation and excellent agreement between the experimental data and the Langmuir isotherm. This suggests that the adsorption of metal cations on the clay minerals follows a monolayer adsorption process, where all the adsorption sites are equivalent and have the same adsorption affinity. Additionally, the fitted maximum adsorption capacity parameters (qmax) were found to be generally consistent with the experimentally determined maximum adsorption capacities, further validating the reliability of the model. These results highlight the suitability of the Langmuir model in describing the adsorption behavior of clay minerals for metal cations.
The measured immersion enthalpies of clay minerals in pure water and different electrolyte solutions at 25 °C are listed in Table 5. The immersion enthalpies of montmorillonite, illite, and kaolinite in pure water are 16.13 J/mol, 5.36 J/mol, and 9.92 J/mol, respectively. These results reflect the discrepancy in thermodynamic behavior of various minerals upon contact with water, which are mainly influenced by factors such as their surface properties and interlayer interactions. Montmorillonite has strong surface hydrophilicity, which can be evidenced by the lowest water contact angle among the three types of clay minerals (Figures S1–S3). Additionally, the interlayer spacing of montmorillonite is relatively large, as evidenced by XRD characterization, which reveals a characteristic diffraction peak with a d001 value of 1.26 nm. These characteristics endow montmorillonite with strong adsorption capacity and hydration ability for water molecules, resulting in intense interactions with water and the release of considerable heat. Although kaolinite exhibits some degree of hydrophilicity, its interlayer spacing (d001 = 0.53 nm) is smaller than that of montmorillonite, resulting in relatively weaker water absorption and a lower immersion enthalpy. Illite has relatively poor hydrophilicity and a more compact structure, with an interlayer spacing of 0.79 nm, resulting in weak water adsorption. Consequently, the interaction between water and illite is minimal, making its immersion enthalpy the lowest among the three clay minerals.
Further investigation reveals that the contribution of cations to the immersion enthalpy of clay minerals varies and is influenced by the properties of the cations (e.g., ionic radius, charge, solvation characteristics). Among all cations, the K+ ion showed the highest immersion enthalpy, which can be ascribed to the moderate ionic radius of K+ ion, facilitating strong electrostatic attraction with the negatively charged interlayer of clay. Additionally, K+ ion has relatively low solvation energy, which allows its hydration shell to be more easily stripped away, enabling direct interaction with the negative charges in the clay interlayer and thereby releasing more energy. The immersion enthalpies of divalent cations are higher than that of Na+ ion but lower than that of K+ ion. This is because divalent cations exhibit stronger interactions with clay due to their higher charge density compared to monovalent cations. However, their stronger solvation makes it more difficult to remove their hydration shell compared to K+, resulting in slightly lower immersion enthalpies. Na+ ion gave the lowest immersion enthalpy, which is due to its smaller ionic radius and higher solvation energy, making its hydration shell harder to remove, and thereby suppressing its direct interaction with clay.
The surface morphology of clay minerals underwent significant changes after being immersed in electrolyte solutions. As shown in Figure 4a, montmorillonite exhibited a clear difference in surface morphology before and after adsorption of different cations. Before adsorption, montmorillonite appeared as a flake aggregate with relatively flat plates, while the plates presented a disordered stacking pattern with the increased curvature after adsorption. Similarly to montmorillonite, illite also underwent a transformation from an aggregated structure to a disordered stack of plate-like structures after cation adsorption. As shown in Figure 4b, kaolinite experienced a reduction in plate-like structures to varying degrees after the adsorption of cations, with a clear increase in fragmentation. These above structural changes are mainly due to the fact that the increased net charge on the clay aggregates leads to repulsive interactions between the plates in the aggregate after cation adsorption, causing them to become more dispersed and stacked in a more disordered manner. Additionally, cations can strongly interact with the surface structure of the minerals, resulting in the detachment of layers or the disruption of the crystal morphology, in which the effect extent follows the order: K+ > Na+ > Mg2+ > Ca2+. This is in the reverse order of the hydrated ionic radius of the cations. In principle, a higher cation charge density enhances the electrostatic attraction to the negatively charged clay surface. However, in aqueous suspensions the measured exchange enthalpy is governed by a competition between clay–cation electrostatics and the energy required to disrupt the cation hydration shell. Therefore, the observed enthalpy sequence suggests that the weaker hydration and lower desolvation penalty of K+ and Na+ outweigh the stronger but more highly hydrated divalent cations under the present conditions. To further elucidate the influence of different electrolyte environments on clay surface charge, we measured the zeta potentials of montmorillonite, illite, and kaolinite in pure water as well as in 100 mmol/L NaCl, KCl, MgCl2, and CaCl2 solutions (Figure S4). The results reveal clear and systematic trends governed by both cation valence and hydration characteristics. Montmorillonite, which carries the highest layer charge among the three clays, shows the strongest response to electrolyte addition. Its zeta potential increases monotonically from a highly negative value in pure water to progressively less negative values in monovalent (Na+, K+) and then divalent (Mg2+, Ca2+) electrolyte solutions. This trend reflects the efficient charge screening and electrostatic neutralization provided by higher-valence cations. In contrast, illite and kaolinite exhibit much lower intrinsic surface charge, and therefore their zeta potentials change within a narrower range. Nevertheless, both minerals follow the same hierarchy: Na+ produces only slight shifts toward less negative values, K+ induces a marked increase resulting in a positive zeta potential, and Mg2+ and Ca2+ lead to further enhancement. Ca2+ consistently generates the most positive values, consistent with its lower hydration energy and stronger affinity for clay surfaces relative to Mg2+.
Figure 5 presented the FT-IR spectra of montmorillonite after the adsorption of cations. Compared with that of pristine samples, there are distinct differences in relative peak intensities: (1) A slight decrease in the relative intensity of the O-H stretching vibration peak of structural water at 3640 cm−1 after adsorption, suggesting the binding of cations to the structural O-H of clay reduces the amount of structural O-H. The order of decrease in intensity among different cations is K+ > Na+ > Mg2+ > Ca2+, which is basically consistent with the amount of cation adsorption; (2) An increase in the relative intensity of the O-H stretching vibration absorption peak (3435 cm−1) of water molecules adsorbed on montmorillonite, and a corresponding enhancement of the bending vibration absorption peak at 1635 cm−1, implying the large amount of water bound to the cations adsorbed on montmorillonite. The enhancement order among different cations is Mg2+ > Ca2+ > Na+ > K+, which is consistent with the ability of binding water molecules; (3) A significant decrease in the relative intensity of the Si-O stretching vibration peak (1020 cm−1) and Al-OH bending vibration peak (937 cm−1), indicating that the interaction between cations and montmorillonite alters the relative quantities of functional groups on montmorillonite. Similarly to montmorillonite, the absorption peaks for structural water in illite and kaolinite decreased in intensity after cation adsorption, while the absorption peaks for adsorbed water increased significantly. The Si-O bending vibration peak and Al-OH bending vibration peak also showed a notable decrease. However, compared to montmorillonite, the change in the absorption peaks of the two samples is less pronounced owing to its weaker cation adsorption capacity.

4. Conclusions

In conclusion, the adsorption of cations on clay minerals (montmorillonite, illite, and kaolinite) significantly alters their surface morphology and chemical structure. Cation adsorption leads to a more disordered stacking and disruption of plates in clay minerals, with changes more pronounced in montmorillonite due to its higher adsorption capacity. FT-IR analysis reveals that the adsorption of cations decreases the intensity of structural water absorption peaks, while increasing the absorption of adsorbed water, especially for divalent cations. These interactions alter the relative quantities of key functional groups like Si-O and Al-OH. The results highlight the importance of cation type and mineral structure in influencing the adsorption behavior, which is crucial for applications in environmental and industrial processes.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/surfaces8040090/s1, Figure S1: The water contact angle of montmorillonite; Figure S2: The water contact angle of illite; Figure S3: The water contact angle of kaolinite; Figure S4: Zeta potentials of three clay minerals in pure water and different electrolyte solutions; Table S1: Element content analysis of clay mineral samples; Table S2: Specific surface area and average pore size analysis of clay mineral samples.

Author Contributions

Conceptualization, J.W., B.D., K.Z. and M.Z.; writing—original draft preparation, H.H., S.Z. and Y.L.; writing—review and editing, J.W. and M.Z.; visualization, M.Z.; supervision, J.W.; project administration, J.W.; funding acquisition, J.W. and M.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This project was funded by the National Science and Technology Major Project of New Oil and Gas Exploration and Development (No. 2025ZD1406202), the New Mechanism and New Method Research of Greatly Improving Oil Recovery in Low Permeability/Tight Reservoir (2023ZZ0404), and the Fundamental Research Funds for the Central Universities.

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors declare that this study received funding from the PetroChina Company Limited. The funder had the following involvement with the study: New Mechanism and New Method Research of Greatly Improving Oil Recovery in Low Permeability/Tight Reservoir (2023ZZ0404).

References

  1. Bradl, H.B. Adsorption of heavy metal ions on soils and soils constituents. J. Colloid Interface Sci. 2004, 277, 1–18. [Google Scholar] [CrossRef] [PubMed]
  2. Uddin, M.K. A review on the adsorption of heavy metals by clay minerals, with special focus on the past decade. Chem. Eng. J. 2017, 308, 438–462. [Google Scholar] [CrossRef]
  3. Zhang, T.; Wang, W.; Zhao, Y.; Bai, H.; Wen, T.; Kang, S.; Song, G.; Song, S.; Komarneni, S. Removal of heavy metals and dyes by clay-based adsorbents: From natural clays to 1D and 2D nano-composites. Chem. Eng. J. 2021, 420, 127574. [Google Scholar] [CrossRef]
  4. Ewis, D.; Ba-Abbad, M.M.; Benamor, A.; El-Naas, M.H. Adsorption of organic water pollutants by clays and clay minerals composites: A comprehensive review. Appl. Clay Sci. 2022, 229, 106686. [Google Scholar] [CrossRef]
  5. Bhattacharyya, K.G.; Gupta, S.S. Adsorption of a few heavy metals on natural and modified kaolinite and montmorillonite: A review. Adv. Colloid Interface 2008, 140, 114–131. [Google Scholar] [CrossRef]
  6. Garrido-Ramírez, E.G.; Theng, B.K.G.; Mora, M.L. Clays and oxide minerals as catalysts and nanocatalysts in Fenton-like reactions-A review. Appl. Clay Sci. 2010, 47, 182–192. [Google Scholar] [CrossRef]
  7. Palansooriya, K.N.; Shaheen, S.M.; Chene, S.S.; Tsang, D.C.W.; Hashimoto, Y.; Hou, D.; Bolan, N.S.; Rinklebe, J.; Ok, Y.S. Soil amendments for immobilization of potentially toxic elements in contaminated soils: A critical review. Environ. Int. 2020, 134, 105046. [Google Scholar] [CrossRef]
  8. Thomas, N.; Dionysiou, D.D.; Pillai, S.C. Heterogeneous Fenton catalysts: A review of recent advances. J. Hazard. Mater. 2021, 404, 124082. [Google Scholar] [CrossRef]
  9. Fei, Y.; Hu, Y.H. Design, synthesis, and performance of adsorbents for heavy metal removal from wastewater: A review. J. Mater. Chem. A 2022, 10, 1047–1085. [Google Scholar] [CrossRef]
  10. Shaikh, S.M.R.; Nasser, M.S.; Hussein, I.; Benamor, A.; Onaizi, S.A.; Qiblawey, H. Influence of polyelectrolytes and other polymer complexes on the flocculation and rheological behaviors of clay minerals: A comprehensive review. Sep. Purif. Technol. 2017, 187, 137–161. [Google Scholar] [CrossRef]
  11. Tombaácz, E.; Szekeres, M. Colloidal behavior of aqueous montmorillonite suspensions: The specific role of pH in the presence of indifferent electrolytes. Appl. Clay Sci. 2004, 27, 75–94. [Google Scholar] [CrossRef]
  12. Chinoune, K.; Bentaleb, K.; Bouberka, Z.; Nadim, A.; Maschke, U. Adsorption of reactive dyes from aqueous solution by dirty bentonite. Appl. Clay Sci. 2016, 123, 64–75. [Google Scholar] [CrossRef]
  13. Alkan, M.; Doǧan, M. Electrokinetic properties of kaolinite in mono- and multivalent electrolyte solutions. Micropor. Mesopor. Mat. 2005, 83, 51–59. [Google Scholar] [CrossRef]
  14. Goldberg, S. Inconsistency in the triple layer model description of ionic strength dependent boron adsorption. J. Colloid Interface Sci. 2005, 285, 509–517. [Google Scholar] [CrossRef]
  15. Greathouse, J.A.; Cygan, R.T.; Fredrich, J.T.; Jerauld, G.R. Molecular Dynamics Simulation of Diffusion and Electrical Conductivity in Montmorillonite Interlayers. J. Phys. Chem. C 2016, 120, 1640–1649. [Google Scholar] [CrossRef]
  16. Rusmin, R.; Sarkar, B.; Biswas, B.; Churchman, J.; Liu, Y.; Naidu, R. Structural, electrokinetic and surface properties of activated palygorskite for environmental application. Appl. Clay Sci. 2016, 134, 95–102. [Google Scholar] [CrossRef]
  17. Jara, A.A.; Goldberg, S.; Mora, M.L. Studies of the surface charge of amorphous aluminosilicates using surface complexation models. J. Colloid Interface Sci. 2005, 292, 160–170. [Google Scholar] [CrossRef] [PubMed]
  18. Baeyens, B.; Bradbury, M.H. Cation exchange capacity measurements on illite using the sodium and cesium isotope dilution technique: Effects of the index cation, electrolyte concentration and competition: Modeling. Clay Miner. 2004, 52, 421–431. [Google Scholar] [CrossRef]
  19. Yan, H.; Zhang, Z. Effect and mechanism of cation species on the gel properties of montmorillonite. Colloids Surf. A 2021, 611, 125824. [Google Scholar] [CrossRef]
  20. Zheng, Y.; Zaoui, A. How water and counterions diffuse into the hydrated montmorillonite. Solid State Ion. 2011, 203, 80–85. [Google Scholar] [CrossRef]
  21. Zhao, Y.; Gu, X.; Gao, S.; Geng, J.; Wang, X. Adsorption of tetracycline (TC) onto montmorillonite: Cations and humic acid effects. Geoderma 2012, 183–184, 12–18. [Google Scholar] [CrossRef]
  22. Han, B.; He, B.; Geng, R.; Zhao, X.; Li, P.; Liang, J.; Fan, Q. Ni(II) sorption mechanism at the vermiculite-water interface: Effects of interlayer. J. Mol. Liq. 2019, 274, 362–369. [Google Scholar] [CrossRef]
  23. Guo, P.; Xu, N.; Li, D.; Huangfu, X.; Li, Z. Aggregation and transport of rutile titanium dioxide nanoparticles with montmorillonite and diatomite in the presence of phosphate in porous sand. Chemosphere 2018, 204, 327–334. [Google Scholar] [CrossRef] [PubMed]
  24. Deng, L.; Shi, Z.; Luo, L.; Chen, S.; Yang, L.; Yang, X.; Liu, L. Adsorption of hexavalent chromium onto kaolin clay based adsorbent. J. Cent. South Univ. 2014, 21, 3918–3926. [Google Scholar] [CrossRef]
  25. Özmetina, E.; Kocakerim, M.M. Removal of Methylene Blue dye from aqueous solutions by illite clay. Desal. Water Treat. 2018, 124, 279–286. [Google Scholar] [CrossRef]
  26. Demirbas, O.; Alkan, M.; Dǒgan, M.; Turhan, Y.; Namli, H.; Turan, P. Electrokinetic and adsorption properties of sepiolite modified by 3-aminopropyltriethoxysilane. J. Hazard. Mater. 2007, 149, 650–656. [Google Scholar] [CrossRef] [PubMed]
  27. Yu, W.H.; Li, N.; Tong, D.S.; Zhou, C.H.; Lin, C.X.; Xu, C.Y. Adsorption of proteins and nucleic acids on clay minerals and their interactions: A review. Appl. Clay Sci. 2013, 80, 443–452. [Google Scholar] [CrossRef]
  28. El-Rayyes, A.; Babatimehin, A.M.; Ogunbamowo, O.E.; Refat, M.S.; Alsuhaibani, A.M.; Ofudje, E.A. Adsorption of Cd2+ and Bisphenol-A onto the surface of natural clay: Thermodynamics, kinetics and isothermal investigations. J. Taibah Univ. Sci. 2025, 19, 2546751. [Google Scholar] [CrossRef]
  29. Ravisankar, R.; Kiruba, S.; Eswaran, P.; Senthilkumar, G.; Chandrasekaran, A. Mineralogical Characterization Studies of Ancient Potteries of Tamilnadu, India by FT-IR Spectroscopic Technique. J. Chem. 2010, 7, 185–190. [Google Scholar] [CrossRef]
Figure 1. SEM images of (a) montmorillonite (top: ×5k; bottom: ×30k), (b) illite (top: ×5k; bottom: ×30k), and (c) kaolinite (top: ×5k; bottom: ×30k).
Figure 1. SEM images of (a) montmorillonite (top: ×5k; bottom: ×30k), (b) illite (top: ×5k; bottom: ×30k), and (c) kaolinite (top: ×5k; bottom: ×30k).
Surfaces 08 00090 g001
Figure 2. (a) XRD spectra of the three clay minerals. (b) FT-IR spectra of the three clay minerals: 3695 cm−1, 3650 cm−1, 3620 cm−1, 3600 cm−1 (O-H stretching vibration); 1000–1100 cm−1 (Si-O stretching vibration); 910 cm-1 (Al-OH bending vibration); 520 cm−1 (Si-O bending vibration); 460 cm−1 (O-Si-O bending vibration).
Figure 2. (a) XRD spectra of the three clay minerals. (b) FT-IR spectra of the three clay minerals: 3695 cm−1, 3650 cm−1, 3620 cm−1, 3600 cm−1 (O-H stretching vibration); 1000–1100 cm−1 (Si-O stretching vibration); 910 cm-1 (Al-OH bending vibration); 520 cm−1 (Si-O bending vibration); 460 cm−1 (O-Si-O bending vibration).
Surfaces 08 00090 g002
Figure 3. Adsorption performance of all three clay minerals (black square: montmorillonite, yellow circle: illite, blue triangle: kaolinite) in different aqueous solutions of (a) NaCl, (b) KCl, (c) MgCl2, (d) CaCl2, where qe is the adsorption capacity of the cation at equilibrium, Ce is the concentration at adsorption equilibrium of the cation.
Figure 3. Adsorption performance of all three clay minerals (black square: montmorillonite, yellow circle: illite, blue triangle: kaolinite) in different aqueous solutions of (a) NaCl, (b) KCl, (c) MgCl2, (d) CaCl2, where qe is the adsorption capacity of the cation at equilibrium, Ce is the concentration at adsorption equilibrium of the cation.
Surfaces 08 00090 g003
Figure 4. SEM images of clay minerals after immersion: (a) montmorillonite, (b) illite, and (c) kaolinite.
Figure 4. SEM images of clay minerals after immersion: (a) montmorillonite, (b) illite, and (c) kaolinite.
Surfaces 08 00090 g004
Figure 5. FT-IR spectra of clay minerals after immersion: (a) montmorillonite, (b) illite, and (c) kaolinite: 3640 cm−1 (O-H stretching vibration of structural water); 3435 cm−1 (O-H stretching vibration of adsorbed water); 1635 cm−1 (O-H bending vibration of adsorbed water).
Figure 5. FT-IR spectra of clay minerals after immersion: (a) montmorillonite, (b) illite, and (c) kaolinite: 3640 cm−1 (O-H stretching vibration of structural water); 3435 cm−1 (O-H stretching vibration of adsorbed water); 1635 cm−1 (O-H bending vibration of adsorbed water).
Surfaces 08 00090 g005
Table 1. Nonlinear fitting parameters of Langmuir adsorption isotherm of Na+ adsorption of mineral samples.
Table 1. Nonlinear fitting parameters of Langmuir adsorption isotherm of Na+ adsorption of mineral samples.
Clay TypeLangmuir Mode (Na+)
qmax
mmol/g
KL
L/(mmol)
R2
Montmorillonite0.3450.01140.992
Illite0.2420.01150.977
Kaolinite0.1140.02570.996
Table 2. Nonlinear fitting parameters of Langmuir adsorption isotherm of K+ adsorption of mineral samples.
Table 2. Nonlinear fitting parameters of Langmuir adsorption isotherm of K+ adsorption of mineral samples.
Clay TypeLangmuir Mode (K+)
qmax
mmol/g
KL
L/(mmol)
R2
Montmorillonite0.4710.02110.998
Illite0.1990.06950.989
Kaolinite0.06800.04610.998
Table 3. Nonlinear fitting parameters of Langmuir adsorption isotherm of Mg2+ adsorption of mineral samples.
Table 3. Nonlinear fitting parameters of Langmuir adsorption isotherm of Mg2+ adsorption of mineral samples.
Clay TypeLangmuir Mode (Mg2+)
qmax
mmol/g
KL
L/(mmol)
R2
Montmorillonite0.1570.21840.974
Illite0.1060.08510.996
Kaolinite0.03110.01340.998
Table 4. Nonlinear fitting parameters of Langmuir adsorption isotherm of Ca2+ adsorption of mineral samples.
Table 4. Nonlinear fitting parameters of Langmuir adsorption isotherm of Ca2+ adsorption of mineral samples.
Clay TypeLangmuir Mode (Ca2+)
qmax
mmol/g
KL
L/(mmol)
R2
Montmorillonite0.1940.02630.991
Illite0.1020.02160.996
Kaolinite0.04210.04790.996
Table 5. Immersion enthalpies (per gram) of clay minerals with pure water and different electrolyte solutions (100 mmol/L) at 25 ± 0.1 °C.
Table 5. Immersion enthalpies (per gram) of clay minerals with pure water and different electrolyte solutions (100 mmol/L) at 25 ± 0.1 °C.
SolutionΔHimm (J/g)
MontmorilloniteIlliteKaolinite
pure H2O16.135.369.92
NaCl17.068.1214.47
KCl22.818.3614.95
MgCl219.817.9112.52
CaCl218.166.1612.48
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wu, J.; Hu, H.; Zhao, S.; Li, Y.; Zhao, K.; Zhang, M.; Ding, B. Comparative Study on Cation Adsorption and Thermodynamic Characteristics of Clay Minerals in Electrolyte Solutions. Surfaces 2025, 8, 90. https://doi.org/10.3390/surfaces8040090

AMA Style

Wu J, Hu H, Zhao S, Li Y, Zhao K, Zhang M, Ding B. Comparative Study on Cation Adsorption and Thermodynamic Characteristics of Clay Minerals in Electrolyte Solutions. Surfaces. 2025; 8(4):90. https://doi.org/10.3390/surfaces8040090

Chicago/Turabian Style

Wu, Jiazhong, Heshu Hu, Shuke Zhao, Yisong Li, Kun Zhao, Minghui Zhang, and Bin Ding. 2025. "Comparative Study on Cation Adsorption and Thermodynamic Characteristics of Clay Minerals in Electrolyte Solutions" Surfaces 8, no. 4: 90. https://doi.org/10.3390/surfaces8040090

APA Style

Wu, J., Hu, H., Zhao, S., Li, Y., Zhao, K., Zhang, M., & Ding, B. (2025). Comparative Study on Cation Adsorption and Thermodynamic Characteristics of Clay Minerals in Electrolyte Solutions. Surfaces, 8(4), 90. https://doi.org/10.3390/surfaces8040090

Article Metrics

Back to TopTop