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ORIGINAL RESEARCH article

Front. Chem., 04 September 2025

Sec. Theoretical and Computational Chemistry

Volume 13 - 2025 | https://doi.org/10.3389/fchem.2025.1646971

Sodium carbonate and sodium silicate promote the Ca-montmorillonite: the nucleation, stabilization and hydrophilicity mechanisms

Chenglong Yin,
Chenglong Yin1,2*Jin HuangJin Huang1Shao-yu DengShao-yu Deng1Chong MaChong Ma1Yong PengYong Peng2
  • 1School of Urban Construction, Zhejiang Shuren University, Hangzhou, China
  • 2College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China

Montmorillonite is widely utilized in catalysis, environmental science, and civil engineering. Previous studies have demonstrated that Na2CO3 and Na2SiO3 enhance the stability of Ca-montmorillonite-rich clayey soils in chemical soil stabilization. However, the microscopic mechanisms underlying their effects on nucleation, stabilization, and hydrophilicity remain unclear. This study investigates these mechanisms using Scanning Electron Microscopy (SEM) and Density Functional Theory (DFT) calculations. SEM results show that Na2CO3 and Na2SiO3 enhance the strength of the stabilized soils by promoting the formation of cementitious and crystalline substances. DFT calculations reveal that SiO32- and CO32- exhibit the most negative adsorption energies of −6.2 eV and −5.1 eV, respectively, in the exchangeable layers of montmorillonite, significantly higher than those of Na+ and Ca2+. On the montmorillonite surface, SiO32- and CO32- display even lower adsorption energies of −8.7 eV and −6.8 eV, respectively. Water molecules preferentially adsorb dissociatively on the montmorillonite surface with an energy of −3.1 eV; however, their adsorption is suppressed following the adsorption of Ca2+, Na+, CO32-, and SiO32-, with energies decreasing to between −1.1 eV and −2.5 eV. Differential charge density plots indicate that ion adsorption leads to charge redistribution and the formation of chemical bonds. Specifically, Ca2+ and Na+ donate cationic charge, while CO32- and SiO32- accept electrons. The study further explains why Na2CO3 and Na2SiO3, in combination with lime, are more effective than lime alone in soil stabilization. A mechanism model for nucleation, stabilization, and hydrophilicity is proposed to explain the role of Na2CO3 and Na2SiO3 in promoting Ca-montmorillonite stabilization. This work provides valuable insights into the chemical properties of montmorillonite and the synergistic effects of calcium-based stabilizers combined with Na2CO3 and Na2SiO3 for soil stabilization.

1 Introduction

Clayey soil is a naturally occurring, multi-scale, and multi-phase mixture formed through geological and biological cycles. Its primary inorganic components are clay minerals—such as montmorillonite, illite, and kaolinite—which are derived from the weathering of rocks during the geological cycle and typically appear as fine, plate-like sheets (Giese and Van Oss, 2002; Mitchell and Soga, 2005). On one hand, these clay minerals possess a large specific surface area and interlayer ion exchange capacity, which make them widely applicable as adsorbents (Zhu et al., 2016), catalysts (Huang et al., 2023), and coagulants (França et al., 2022) in the field of environmental pollution control and remediation. On the other hand, the surfaces of these minerals are generally negatively charged and exhibit high surface free energy, resulting in a strong affinity for water and causing varying degrees of volume expansion upon moisture exposure (Mitchell and Soga, 2005; Petry and Little, 2002). This pronounced sensitivity to moisture fluctuations of clay minerals leads to significant changes in the volume and mechanical strength of clayey soils, thereby posing risks to the stability and safety of buildings and infrastructure constructed on them. Such instability not only compromises structural integrity and public safety but also leads to substantial annual maintenance costs, limiting the broader use of clayey soils—especially those with relatively high water content—in civil engineering applications (Anburuvel, 2023; Pup and pala, 2016).

Soil stabilization is a widely adopted and cost-effective technique for enhancing the engineering properties of fine-grained soils, particularly clayey soils (Anburuvel, 2023; Barman and Dash, 2022; Pup and pala, 2016). This approach typically involves blending various stabilizers into the soils, followed by compaction at an optimal moisture content and a subsequent curing period (Yin et al., 2018; Zada et al., 2023). The fundamental mechanism of soil stabilization relies on utilizing the chemical and/or physicochemical reactions occurred in the stabilizer-soil mixture to modify the surface characteristics and interfacial interactions of soil particles, thus improving the strength, water-resistance and other engineering properties of the soils (Anburuvel, 2023; Barman and Dash, 2022; Mitchell and Soga, 2005; Pup and pala, 2016).

A wide variety of materials have been employed for soil stabilization. Among them, lime and Portland cement—both containing calcium and thus referred to as calcium-based stabilizers—have been among the earliest and most extensively used, due to their widespread availability and well-documented effectiveness (Bell, 1996; Ma et al., 2018; Raja and Thyagaraj, 2020). The stabilization mechanisms of these two calcium-based stabilizers involve a series of reaction processes, including cation exchange, flocculation and agglomeration (particle restructuring), cementitious hydration, hardening, carbonation, and pozzolanic reactions (Anburuvel, 2023; Barman and Dash, 2022; Jiang et al., 2021; Pup and pala, 2016; Wang et al., 2023; Yu et al., 2024).

The introduction of different additives into the calcium-based stabilizer-soil system can alter the reaction processes, resulting in varying stabilization effects. It has been reported that sodium carbonate (Na2CO3) and sodium silicate (Na2SiO3) can significantly enhance the strength, water resistance, and other properties of calcium-based stabilized soils (Dengliang and Aimin, 1988; Murmu et al., 2020; Rivera et al., 2020; Yin et al., 2025). Zhang et al. (Dengliang and Aimin, 1988) conducted a systematic evaluation of the effects of lime-fly ash-based stabilizers with various additives on the compressive strength of stabilizer-soil mixtures. Their results showed that sodium carbonate, sodium silicate, sodium hydroxide, sodium sulfate, and sodium phosphate notably improved the compressive strength of lime-fly ash soils. In our previous study (Yin et al., 2025), we also found that adding only 0.05% sodium carbonate and 0.05% sodium silicate, based on the dry soil weight in solution form, effectively enhanced the 7-day unconfined compressive strength of a calcium-based stabilizer-soil mixture, with the highest strength improvement observed at 34.5%.

The mechanism behind this phenomenon is not yet fully understood. Some researchers have attributed it to the reactions between CaOH2 and Na2CO3 or Na2SiO3, as described by the following equations:

CaOH2+Na2CO3CaCO3+2NaOH(1)
CaOH2+Na2SiO3CaSiO3+2NaOH(2)

The CaOH2 is derived from lime and the hydration of Portland cement. The resulting precipitates, calcium carbonate (CaCO3) and calcium silicate hydrate (C-S-H), enhance soil stabilization by modifying particle surface characteristics (Chung et al., 2021; Teerawattanasuk and Voottipruex, 2019), filling interparticle voids (Phummiphan et al., 2016; Teerawattanasuk and Voottipruex, 2019), and strengthening interparticle bonding (Abdullah et al., 2021). These processes collectively contribute to the improved macroscopic strength and water resistance of calcium-based stabilized soils. However, the atomic-scale mechanisms that underlie the strength enhancement and hydrophilicity regulation remain poorly understood, particularly in terms of the roles of Na2CO3 and Na2SiO3 in promoting Ca2+-clay coordination, modifying the adsorption sites of water molecule, and altering surface charge distribution.

The first-principles method, particularly Density Functional Theory (DFT), is a powerful computational approach for investigating the interaction mechanisms between materials at the atomic and electronic levels. Unlike molecular dynamics (MD) or Monte Carlo (MC) simulations, which primarily rely on classical force fields to model interactions, DFT provides a more fundamental understanding by directly calculating the electronic structure of a system. This allows for deeper insights into the nature of chemical bonds, reaction mechanisms, and material properties. As a result, DFT is particularly well-suited for exploring the interaction mechanisms between clay minerals and various materials. Montmorillonite, with its characteristic 2:1 layered structure and notable properties such as strong water absorption and swelling behavior, is often the preferred clay mineral for DFT-based calculations. Peng et al. (2016) demonstrated that water molecules exhibit distinct adsorption behaviors on different montmorillonite surfaces. On the Na-montmorillonite (001) basal surface, adsorption primarily occurs through electrostatic interactions between water molecules and Na+ cations. In contrast, on the (010) edge surface, hydrogen bonds form between water molecules and surface -OH or -OH2 groups. Miyamoto et al. (Chatterjee et al., 1999) further showed that Na+ cations migrate toward the negative charge centers of clay clusters, with each Na+ cation being coordinated by five interlayer water molecules in montmorillonite. Additionally, studies have explored the adsorption of water molecules by various interlayer cations in montmorillonite (Li et al., 2023), the adsorption of bisphenol by montmorillonite (Guo et al., 2022), and the acid activation process of montmorillonite (Fonseca et al., 2018). While previous studies have focused on water adsorption in montmorillonite, the use of DFT calculations to investigate the molecular nucleation mechanisms of stabilizer-montmorillonite mixtures and their subsequent effects on water adsorption remains limited. Understanding the nucleation and hydrophilicity mechanisms of these mixtures is crucial for gaining a deeper insight into the soil stabilization process. Therefore, this study employs the DFT method to explore these mechanisms.

Based on our preliminary experimental research (Yin et al., 2025), the aim of this study is to investigate the mechanisms by which Na2CO3 and Na2SiO3 enhance the stability of calcium-based stabilizer-soil mixtures. The morphological changes in the microstructure of the stabilized soils were investigated by SEM scanning. The interactions between Ca2+, Na+, CO32- and SiO32- with montmorillonite were examined using DFT calculations. In addition, the surface hydrophilicity before and after stabilization was analyzed, and the adsorption mechanism was explored through differential charge analysis. This work offers a theoretical perspective on the synergistic mechanisms of calcium-based stabilizers in combination with Na2CO3 and Na2SiO3 in soil stabilization.

2 Materials and computation details

2.1 Experimental materials

The experimental soil, a type of lean clay predominantly consisting of montmorillonite and other minerals, has its physical and chemical properties detailed in Table 1. For this study, the calcium-based stabilizer, denoted as B2, is a composite mixture of Portland cement (PC), lime (L), and fly ash (FA) with a mass ratio of 4:2:1(PC:L:FA), and the chemical compositions of these three components are illustrated in Table 2. The sodium carbonate (Na2CO3) and sodium silicate (Na2SiO3·9H2O) used in the experiments are all analytical pure chemical reagents produced by Shanghai Hushi Laboratory Equipment Co., Ltd (Shanghai, China).

Table 1
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Table 1. Physical and chemical properties of soil sample.

Table 2
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Table 2. Chemical composition of the calcium-based stabilizers.

2.2 Experimental methods

The experimental procedures primarily consisted of compaction testing, specimen preparation and curing, and unconfined compression testing, conducted in accordance with the Chinese Standard JTG 3441-2024. Initially, the B2 stabilizer and dried soil were thoroughly mixed in a mass ratio of 4:2:1:100 (PC:L:FA:dry soil), yielding a base mixture. Then the maximum dry density and optimum moisture content of the base mixture were tested to be 1.79 g/cm3 and 15%, respectively, by the modified Proctor compaction test. Subsequently, 0.05% sodium carbonate and 0.05% sodium silicate (calculated relative to the dry soil weight and added in an aqueous solution manner) were then incorporated into part of the base mixture to form a testing mixture. The mixtures with and without the two sodium salts were then statically compacted into cylindrical specimens, each measuring 50 mm in height and 50 mm in diameter, at their optimum moisture content using a 30 kN hydraulic pressing machine. Then, the compacted specimens were transferred to a curing room maintained at a temperature of 20 °C ± 1 °C and a relative humidity of 95% ± 5%. After a 7-day curing period, unconfined compression tests were conducted using a 30 kN hydraulic pressing machine at a displacement rate of 1 mm/min.

2.3 Experimental characterization

After the compression tests, samples extracted from the tested specimens were subjected to SEM scanning. An FEI Quanta 650 FEG Environmental SEM (ESEM) was employed for the scanning process, operating within an acceleration voltage range of 200V to 30 kV and with a maximum beam current of 200 nA.

2.4 DFT computational method

CP2K (Kühne et al., 2020) was employed to carry out the theoretical calculations in the framework of density functional theory (DFT). CP2K employed two representations of the electron density: localized Gaussian and plane wave basis sets. For the Gaussian-based (localized) expansion of the Kohn–Sham orbitals, we used a library of contracted molecularly optimized valence double-zeta plus polarization basis sets (VandeVondele and Hutter, 2007), and the complementary plane wave basis set had a cutoff of 400 Rydberg for the electron density. The generalized gradient corrected approximation of Perdew, Burke and Ernzerhof (PBE) (Blöchl, 1994) was adopted to relax the geometric structures. The energy and force convergence criteria of the self-consistent iteration were set to 10–5 eV and 0.03 eV Å-1. The ions are calculated in a 15 Å × 15 Å × 15 Å cell. Since montmorillonite has layered structure, no additional vacuum layer was set, which is consistent with previously reported montmorillonite calculations (Li et al., 2023; Peng et al., 2016). During calculation, all atoms remain relaxed.

The adsorption energies were used to assess the adsorption capacity of the montmorillonite models for molecules and ions. The adsorption energy is defined by Formula 3, where ΔE represents the adsorption energy, while E (surf), E (ion), and E (ion/surf) denote the total energies of the surface, the free ion, and the surface with the ion, respectively. The more negative the adsorption energy in value, the greater the exothermic heat released, and the more stable the system becomes.

ΔE=Eion/surfEsurfEion(3)

2.5 Montmorillonite surface model

Montmorillonite (PDF#13-0135), with the chemical formula CaAl4Si8O24, belongs to the hexagonal crystal system. Figure 1 displays the top and side views of the montmorillonite model. The unit cell parameters are as follows: a = 5.169 Å, b = 5.169 Å, c = 15.02 Å, with angles α = 90.0°, β = 90.0°, and γ = 90.0°. In its structure, Ca2+ cations act as exchangeable ions located between the layers, while Al3+ cations reside in the bulk phase. The Si4+ cations are tetrahedrally coordinated within the SiO4 units, and the O2- anions are 2-coordinated in the OSi2 environment and 3-coordinated in the OSiAl2 environment.

Figure 1
Top and side views of a crystal structure lattice. The image includes a legend indicating atom types: calcium (Ca) in large light blue spheres, silicon (Si) in dark blue spheres, aluminum (Al) in medium light blue spheres, and oxygen (O) in red spheres.

Figure 1. The top and side view of montmorillonite. The red, blue, gray, and dark gray represent O, Si, Al and Ca, respectively.

3 Results and discussion

3.1 The strength and microscopic morphological characteristics of the mixtures

The 7-day unconfined compressive strength of the base mixture was determined to be 1.182 MPa. After introducing 0.05% sodium carbonate and 0.05% sodium silicate, the 7-day unconfined compressive strength of the testing mixture escalated to 1.620 MPa, signifying a 34.5% enhancement in strength (Yin et al., 2025).

Figure 2 shows the SEM images of soil samples before and after the addition of Na2CO3 and Na2SiO3. In the SEM images of the B2 stabilizer-soil mixture, prominent pores can be observed, along with only a small amount of fibrous or reticular cementitious substances and acicular crystals on the particle surfaces (Cao et al., 2022; Wu et al., 2018). After adding Na2CO3 and Na2SiO3, the pores are filled with fibrous or reticular cementitious substances and acicular crystals, and similar deposits are observed coating the particle surfaces. This suggests that the addition of Na2CO3 and Na2SiO3 promotes the formation of cementitious and crystalline substances which are deduced to be C-S-H and calcium carbonate according to chemical reaction Equations 1, 2. These newly formed substances effectively modify the surface characteristics of the soil particles, fill interparticle voids, and enhance interparticle bonding. As a result, the strength of the stabilizer-soil mixtures increase from 1.182 MPa to 1.620 MPa, which aligns well with findings reported in previous studies (Abdullah et al., 2021; Chung et al., 2021; Dengliang and Aimin, 1988; Murmu et al., 2020; Phummiphan et al., 2016; Rivera et al., 2020; Teerawattanasuk and Voottipruex, 2019; Yin et al., 2025).

Figure 2
Scanning electron microscope images showing different textures of materials. Image (a) displays a dense, rough surface at 800x magnification. Image (b) presents a smoother, fluffy texture at 4000x magnification. Image (c) shows a semi-rough, interconnected structure at 1000x magnification. Image (d) reveals a network of fibrous strands at 1000x magnification. Each panel includes detailed measurement data at the bottom.

Figure 2. SEM images of soil samples (a,b) are the B2 stabilizer-soil mixture without Na2CO3 and Na2SiO3; (c,d) are the B2 stabilizer-soil mixture with the addition of Na2CO3 and Na2SiO3.

However, the existing techniques are difficult to characterize the microscopic processes and mechanisms of nucleation and crystallization of Na2CO3 and Na2SiO3 in the pores and on the surface of montmorillonite. Therefore, subsequently, the DFT method was adopted to study their nucleation and crystallization mechanisms as well as physicochemical properties.

3.2 Structures and adsorption energies of Ca2+, Na+, CO32- and SiO32-

Montmorillonite contains both exchangeable layers and surfaces. Accordingly, the adsorption behaviors of Ca2+, Na+, CO32-, and SiO32- in these two distinct scenarios were investigated.

3.2.1 On exchangeable layer

Figures 3, 4 show the structures and adsorption energies for the adsorption of Ca2+, Na+, CO32-, and SiO32- on the exchangeable layer of montmorillonite. For Ca2+ adsorption on the exchangeable layer, the adsorption energy is −1.9 eV. The distance between the two Ca2+ atom is 518 pm. When Na+ adsorbs on the exchangeable layer, its adsorption energy is −2.3 eV, which is slightly higher than that of Ca2+ on exchangeable layer. The distance between the Ca2+ and Na+ is 428 pm.

Figure 3
Four illustrations show atomic structures on exchangeable layers. (a) Calcium atoms with a distance of 518. (b) Sodium and another atom with a distance of 428. (c) Carbonate group with a value of 193. (d) Silicate group with a value of 191. All are set against a lattice structure of red and blue spheres.

Figure 3. The structures of (a) Ca2+, (b) Na+, (c) CO32- and (d) SiO32- on the exchangeable layer of montmorillonite.

Figure 4
Bar graph showing adsorption energy in electron volts (eV) for four substances: calcium (Ca), sodium (Na), carbonate (CO₃), and silicate (SiO₃). Each bar is color-coded: black for Ca, red for Na, blue for CO₃, and orange for SiO₃. The adsorption energy values decrease from left to right, with the lowest energy for SiO₃ at just above negative eight eV.

Figure 4. The adsorption energies of Ca2+, Na+, CO32- and SiO32- on the exchangeable layer of montmorillonite.

For CO32- adsorption on the exchangeable layer, CO32- coordinates with Ca2+ through O. The Ca-O bond length is 193 pm, and the adsorption energy is −5.1 eV. For SiO32- adsorption on the exchangeable layer, SiO32- coordinates with Ca2+ through one O atom. The Ca-O bond length is 191 pm, and the adsorption energy is −6.2 eV.

Thus, SiO32- has the highest adsorption energies, indicating a stronger interaction with the montmorillonite exchangeable layer compared to CO32-, Ca2+ and Na+. The adsorption energy order is SiO32- > CO32- >> Na+ > Ca2+. This implies that CO32- and SiO32- are more likely to be stably adsorbed on the layer than that of Ca2+ and Na+.

3.2.2 On surface

Figures 5, 6 show the structures and adsorption energies for the adsorption of Ca2+, Na+, CO32-, and SiO32- on the surface of montmorillonite. For the adsorption of Ca2+ on the surface of montmorillonite, the adsorption energy is - 4.7 eV Ca2+ adsorbs on the surface of montmorillonite by bonding with two O atoms. The bond lengths are 283 pm and 220 pm respectively. This indicates that for Ca2+, surface adsorption results in a higher adsorption energy and greater stability compared to layer adsorption. In contrast, during layer adsorption, its adsorption energy was only −1.9 eV. The higher adsorption energy during surface adsorption implies a stronger interaction between Ca2+ and the montmorillonite surface, thus making the adsorbed state more stable.

Figure 5
Four diagrams show different molecules on a surface: (a) calcium with angles 283 and 220 degrees, (b) sodium with angles 258 and 289 degrees, (c) carbonate with angles 215, 209, and 201 degrees, and (d) silicate with angles 219, 216, and 185 degrees.

Figure 5. The structures of (a) Ca2+, (b) Na+, (c) CO32- and (d) SiO32- on the surface of montmorillonite.

Figure 6
Bar chart showing adsorption energy in electron volts (eV) for four compounds: Ca, Na, CO3, and SiO3. Ca has approximately -4.5 eV, Na around -5 eV, CO3 around -6 eV, and SiO3 about -8 eV.

Figure 6. The adsorption energies of Ca2+, Na+, CO32- and SiO32- on the surface of montmorillonite.

When Na+ adsorbs on the surface, its adsorption energy is −5.1 eV. The distances between two surface O atoms are 258 pm and 289 pm. The higher adsorption energy compared to Ca2+ suggests that Na+ has a stronger interaction with the surface.

For the adsorption of CO32- on the surface, the adsorption energy is −6.8 eV CO32- forms bonds with Ca2+ through two O atoms, with Ca-O bond lengths of 215 pm and 209 pm. Additionally, CO32- bonds with a surface Si atom via one O atom, with the O-Si bond length of 201 pm. For the adsorption of SiO32- on the surface, the adsorption energy reaches −8.7 eV, the highest among the four substances. SiO32- forms bonds with Ca2+ through two O atoms, with Ca-O bond lengths of 219 pm and 216 pm, and also bonds with a surface Si atom through one O atom, with O-Si bond length of 185 pm.

Overall, the order of adsorption energies is SiO32- > CO32- > Na+ > Ca2+. This implies that SiO32- is most likely to be stably adsorbed on the surface, followed by Na+ and CO32-, while Ca2+ has relatively weaker adsorption stability.

The above study investigated the adsorption behavior of Ca2+, Na+, CO32-, and SiO32-. Both SiO32- and CO32- exhibite the most negative adsorption energies on the exchange layer and surface. This proves that Na+, CO32- and SiO32- all contribute to the solidification of Ca2+ and the stability of montmorillonite.

3.3 Hydrophilicity of montmorillonite

3.3.1 Clean montmorillonite

Figures 7, 8 show the structures and adsorption energies for the adsorption of H2O and OH on the montmorillonite. For the H2O physical adsorption configuration, the adsorption energy is only −0.1 eV. The H2O is through a hydrogen bond with the montmorillonite surface O, with the hydrogen bond distance of 195 pm. For the H2O molecular adsorption configuration, the adsorption energy is −2.6 eV. The H2O molecule bonds with the layer Ca2+, with the distance between the O atom of H2O and the layer Ca2+ atom being 226 pm. Additionally, H2O forms a hydrogen bond with the surface O atom, and the bond length of this hydrogen bond is 182 pm. This indicates that H2O can form a strong hydrogen bond with the montmorillonite surface. This strong hydrogen bond can further promote the dissociation of H2O. As shown in the H2O dissociative adsorption structure in Figure 7, the adsorption energy is −3.1 eV. The dissociated OH group bonds with layer Ca2+, with the Ca-O distance being 194 pm. The dissociated H atom bonds with a surface O atom, and the O-H bond length is 98 pm.

Figure 7
Three diagrams depict different types of adsorption on a surface. (a) H2O physical adsorption shows water molecules above the surface. (b) H2O molecular adsorption includes distances of 226 and 182 picometers. (c) H2O dissociative adsorption includes distances of 194 and 98 picometers. Blue and red spheres represent atoms, forming a lattice.

Figure 7. The structures of H2O and OH on the montmorillonite; (a) H2O physical adsorption, (b) H2O molecular adsorption, (c) H2O dissociative adsorption.

Figure 8
Bar graph comparing adsorption energies for different types: physical adsorption (black, near 0 eV), molecular adsorption (red, around -2 eV), and dissociative adsorption (blue, approximately -6 eV).

Figure 8. The adsorption energies of H2O and OH on the montmorillonite.

As can be seen from the above, H2O molecules are more likely to exist in a dissociated form on the surface of montmorillonite compared to molecular adsorption. Whether it is the dissociated adsorption of intact H2O molecules or the adsorption of a single OH group, they all adsorb onto the layer Ca2+ and tend to form hydrogen bonds with the surface. The formation of hydrogen bonds in all these cases further stabilizes the adsorbed species. Understanding these surface-water interaction mechanisms is of great importance for comprehending related chemical processes, such as ion exchange reactions occurring on the montmorillonite surface.

3.3.2 Ca2+, Na+, CO32- and SiO32- absorbed montmorillonite

Figures 9, 10 display the structures and adsorption energies for the adsorption of H2O on Ca2+, Na+, CO32-, and SiO32--absorbed montmorillonite. The adsorption energy of Ca-H2O is −1.7 eV, which is lower than that of H2O on pristine montmorillonite (−3.1 eV). In this structure, the H2O molecule bonds with the layer Ca2+, with the distance between the O atom of H2O and the Ca2+ atom being 232 pm. For Na-H2O, the adsorption energy is −2.5 eV, which is stronger than Ca-H2O but comparable to H2O on clean montmorillonite. The H2O molecule bonds with surface Na+, with the O-Na bond distance being 229 pm.

Figure 9
Four molecular structure diagrams labeled (a) Ca-H₂O, (b) Na-H₂O, (c) CO₃-H₂O, and (d) SiO₃-H₂O. Each shows different atoms and bonds, with numbers 232, 229, 239, and 236 indicating possible energy levels or measurements.

Figure 9. The structures of H2O on the (a) Ca2+, (b) Na+, (c) CO32- and (d) SiO32- absorbed montmorillonite.

Figure 10
Bar chart showing adsorption energy in electron volts for four compounds: Ca-H₂O (-2 eV, black), Na-H₂O (-2 eV, red), CO₃-H₂O (-1.5 eV, blue), and SiO₃-H₂O (-1.2 eV, orange).

Figure 10. The adsorption energies of H2O on the Ca2+, Na+, CO32- and SiO32- absorbed montmorillonite.

In the CO3-H2O and SiO3-H2O structures, their adsorption energies are −1.2 eV and −1.1 eV, respectively. The adsorbed H2O molecules form bonds with Ca2+ through O, with Ca-O bond distances of 239 pm and 236 pm, respectively.

By comparing the adsorption of H2O on pristine montmorillonite and montmorillonite adsorbed with Ca2+, Na+, CO32-, and SiO32-, it is evident that montmorillonite adsorbed with Ca2+, Na+, CO32-, and SiO32- inhibits water adsorption to different extents.

3.4 Adsorption mechanism from electronic structure

Figure 11 shows the differential charge density plots of Ca2+, Na+, CO32- and SiO32- on the on the montmorillonite surface.

Figure 11
Diagrams illustrating electron localization for various materials on a surface. Panel (a) shows Ca with electron values 0.36 and 0.88 lel, (b) shows Na with 0.03 and 0.95 lel, (c) shows CO3 with 0.52 and 0.94 lel, and (d) shows SiO3 with 0.55 and 0.93 lel. Each diagram has a layered structure with red, blue, and gray atoms.

Figure 11. The differential charge density plots of (a) Ca2+, (b) Na+, (c) CO32− and (d) SiO32− on the montmorillonite surface. Yellow: charge accumulation; Cyan: charge depletion. The isosurface value is set to 0.008 e/Bohr3.

It can be observed that there are significant changes in charge densities near the Ca2+ atoms and the surface O atoms of montmorillonite. Ca2+ atoms tend to lose electrons, characterized by a decrease in electron-cloud density (blue regions) around them. In contrast, the electron - cloud density around the surface O atoms that bond with Ca2+ increases (yellow regions). This indicates that during the adsorption of Ca2+, electrons are transferred from Ca2+ atoms to the surface atoms, forming ionic or polar covalent bonds. Such charge transfer enhances the interaction between Ca2+ and the montmorillonite surface. During the adsorption of Na+, the charge transfer is less intense compared to that of Ca2+. Therefore, in the figure, charge accumulation is only shown between the Na-O bonds.

When CO32- is adsorbed on the surface, there are notable changes in charge densities in the bonding regions between CO32- and the Ca2+ and Si atoms on the montmorillonite surface. There is an overlap and redistribution of electron clouds between the O atoms in CO32- and the Ca2+ and Si atoms. The increase in electron-cloud density around the O atoms indicates the inflow of electrons, leading to the formation of chemical bonds.

When SiO32- is adsorbed on the surface, significant changes in electron-cloud densities occur at the bonding sites between the O atoms of SiO32- and the Ca2+ and Si atoms on the montmorillonite surface. The electron-cloud enrichment around the O atoms (yellow regions) indicates that electrons are transferred from the surface atoms to the O atoms, forming stable chemical bonds.

Table 3 shows the charge transfer between Ca2+, Na+, CO32- and SiO32- with the montmorillonite surface. Ca2+ and Na+ exhibit significantly stronger charge transfer with surface atoms than with interlayer Ca. Notably, the charge transfer between Na+ and interlayer Ca2+ is extremely weak, with a magnitude of only 0.03|e|. The charge transfer trends highlight that Ca2+ and Na+ primarily interact with montmorillonite surfaces through cationic charge donation, with Ca2+ exhibiting stronger binding due to higher charge transfer. In contrast, both CO32- and SiO32- demonstrate substantial charge transfer with both surface and interlayer Ca2+ atoms. CO32- and SiO32- form stable associations with both surface and interlayer Ca2+ via electron acceptance, consistent with the structural insights from differential charge density plots.

Table 3
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Table 3. Charge transfer between Ca2+, Na+, CO32- and SiO32- with the montmorillonite surface.

3.5 Comparison with alkaline OH treatment

The alkaline treatment process of montmorillonite has also been examined as shown in Figures 12, 13. The OH group adsorbs onto the Ca2+ atom in the layer, forming a Ca-O bond with a bond length of 194 pm. Additionally, the OH group forms a hydrogen bond with the surface, with a bond length of 251 pm, indicating the formation of a moderately strong hydrogen bond. The adsorption energy of the OH group is −6.5 eV, which is close to the −6.8 eV of CO32-, but weaker than the −8.7 eV of SiO32-.

Figure 12
Diagram comparing two molecular structures: (a) OH depicts a hydroxyl group with a distance of 194 picometers from the surface, highlighted by dashed lines at 251 picometers. (b) OH-H2O shows a water molecule bonded to the surface, with a marked distance of 254 picometers. Both structures feature a lattice of atoms represented as red, blue, and grey spheres.

Figure 12. The structures of (a) OH on the montmorillonite, and the structures of (b) H2O on the OH absorbed montmorillonite.

Figure 13
Bar graph showing adsorption energy in electronvolts of OH and OH-H2O. A black bar for OH reaches below minus six electronvolts, while a red bar for OH-H2O reaches just below minus two electronvolts.

Figure 13. The adsorption energy of OH on the montmorillonite, and the adsorption energy of H2O on the OH absorbed montmorillonite.

Upon comparing the adsorption behaviors of hydroxide ions, carbonate ions, and silicate ions on the montmorillonite surface, it is observed that hydroxide ions primarily adsorb by forming hydrogen bonds with the surface, while carbonate and silicate ions adsorb via oxygen-silicon bonds. Since the bond energy and stability of hydrogen bonds are weaker than those of oxygen-silicon bonds, this is one of the reasons why the strength of lime-treated soils is often lower than that of soils stabilized with lime combined with sodium silicate or sodium carbonate.

Furthermore, the hydrophilicity of OH-absorbed montmorillonite was calculated, revealing that its H2O adsorption energy is −1.3 eV. This value is weaker than the −2.6 eV of molecular adsorption (Figure 7b) and the −3.1 eV of dissociative adsorption (Figure 7c), indicating that after the absorption of OH, the water affinity of montmorillonite decreases.

The formation of a moderately strong hydrogen bond and the reduction in water affinity help explain why lime treatment can enhance the strength and water stability of soils.

3.6 The effect of CO2 on stabilization

The structures of CO2 on the Ca-montmorillonite and CaCO3-montmorillonite surface are shown in Figure 14. The adsorption energy of CO2 on the Ca-montmorillonite surface is calculated to be −0.2 eV. When CaCO3 forms on the montmorillonite surface, the adsorption energy of CO2 increases to −0.5 eV. These theoretical calculations suggest that the adsorption of CO2 by Ca-montmorillonite is thermodynamically favorable and is further enhanced by the nucleation of surface CaCO3. This is consistent with the findings of Song et al. (2024), who reported that increased carbonate content promotes CO2 storage.

Figure 14
Molecular diagrams depicting carbon dioxide interactions on surfaces. Diagram (a) shows CO2 on a surface with bond angles labeled 208, 228, and 207. Diagram (b) illustrates CO2 on a carbonate surface with a bond angle labeled 244. Red, blue, and gray spheres represent different atoms in the lattice structures.

Figure 14. The structures of CO2 on the (a) Ca-montmorillonite and (b) CaCO3-montmorillonite surface.

In addition, Liu et al. (2025) reported that increased water content promotes CO2 adsorption. Under CO2-rich water conditions in deep underground environments, carbonate minerals can dissolve and recrystallize (Song et al., 2024), potentially affecting the stability of stabilized montmorillonite. This study focuses on improving the stability of stabilized montmorillonite near the Earth’s surface, where both pressure and temperature are relatively low. Although the adsorption energy for CO2 increases after nucleation, in practical engineering applications, the stabilizer-soil mixture is typically compacted at optimum water content, and the reaction products fill the pore spaces, increasing hydrophobicity. This significantly reduces water permeability of the stabilized soils, making it difficult to establish a CO2-rich water environment, thereby minimizing the risk of compromising stability and integrity.

3.7 Stabilization and hydrophilicity mechanisms

The schematic diagram illustrating the mechanisms of nucleation, stabilization, and hydrophilicity is shown in Figure 15. When CO32- or SiO32- ions are present in the Ca-montmorillonite system, they preferentially nucleate and form precipitates on the surface of montmorillonite rather than adsorb onto the interlayer calcium ions. This is because, compared to adsorption on interlayer calcium ions (Figures 3c,d), the adsorption energy is lower when the calcium ions are adsorbed and nucleation occurs on the montmorillonite surface (Figures 5c,d). The lower the adsorption energy, the more stable the system becomes. Therefore, it can be speculated that, when free calcium ions, CO32- ions, and SiO32- ions coexist in the calcium-based stabilized soil system, these ions tend to form a spatial network structure of calcium carbonate and calcium silicate on the montmorillonite surface and within the pores through the sharing of calcium ions. This process enhances the overall integrity of montmorillonite, thereby improving its shear strength. This hypothesis aligns with the results observed in the SEM images (Figure 2).

Figure 15
Sodium silicate and sodium carbonate facilitate calcium-montmorillonite nucleation and crystallization. The image shows a structural process where silicate nucleates preferentially, followed by carbonate, leading to improved stabilization and reduced hydrophilicity. It includes electron microscope images and molecular diagrams highlighting the enhanced structural properties.

Figure 15. The nucleation, stabilization and hydrophilicity mechanisms schematic diagram.

Before stabilization, except for physical absorption (Figure 7a), the adsorption energies of water molecules in the interlayers of montmorillonite are relatively negative, and they are prone to adsorb through molecular absroption (Figure 7b) and dissociative adsorption (Figure 7c). This explains the strong hydrophilicity of montmorillonite, volume expansion after water absorption, and reduced macroscopic engineering properties. After stabilization, Na+ has almost minor effect on the hydrophilicity of montmorillonite, while Ca2+, CO32- or SiO32- significantly reduce its hydrophilicity. This can explain that calcium-based stabilizer alone, or in combination with Na2CO3 and Na2SiO3 can ruduce the affinity of montmorillonite for water.

By comparing the water adsorption energy of Ca-montmorillonite (Figure 5a) and Na-montmorillonite (Figure 5b), the calcium ions released by calcium-based stabilizer will exchange with Na+ and other ions through ion exchange, thus reducing the thickness of the water film. However, by comparing the reduction in water adsorption energy between montmorillonite adsorbed with calcium ions (Figure 9a) and montmorillonite adsorbed with calcium carbonate (Figure 9c) and calcium silicate (Figure 9d), it is evident that the improvement in water stability due to ion exchange is weaker than the improvement by the formation of precipitates.

The results above demonstrate that DFT calculations can effectively and quantitatively elucidate the interaction mechanisms between stabilizers and montmorillonite from the perspective of adsorption energy and electron transfer. This method can transform the selection of stabilizer components from a trial-and-error approach into a more targeted process based on the understanding of the interactions between clay minerals and candidates, reducing time-consuming, labor-intensive macro-mechanical tests and saving experimental costs. The DFT method is expected to not only enhance material screening for soil stabilization but also have broader applications in areas such as carbon sequestration, landfills, and beyond.

4 Conclusion

In this work, experiments and DFT calculation were used to investigate the stabilization and hydrophilicity mechanisms of Ca-montmorillonite systems modified with Na2CO3 and Na2SiO3.

1. SiO32- and CO32- ions preferentially adsorb on the montmorillonite surface rather than the exchangeable interlayer, with significantly higher adsorption energies compared to Ca2+ and Na+ ions.

2. The nucleation mechanism involves the bonding of O atoms from SiO32- and CO32- ions to the montmorillonite surface Si and Ca2+ ions in the interlayer, leading to the formation of CaSiO3 and CaCO3 network structures.

3. Adsorption of Ca2+, Na+, CO32-, and SiO32- ions on the montmorillonite reduces the adsorption of H2O, lowering the water adsorption energy from −3.1 eV to −1.1 to −2.5 eV.

4. Na2CO3 and Na2SiO3 enhance the nucleation of CaSiO3 and CaCO3 on the montmorillonite surface, improving interfacial interactions and reducing water affinity. This has potential applications in reducing caprock permeability in saline aquifers for CO2 storage and improving the compressive strength and water resistance of stabilized soils in soil stabilization.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

CY: Conceptualization, Writing – review and editing, Methodology, Formal Analysis, Software, Writing – original draft. JH: Writing – original draft, Methodology, Formal Analysis, Software, Conceptualization. S-YD: Formal Analysis, Software, Writing – original draft. CM: Writing – original draft, Writing – review and editing, Methodology, Formal Analysis. YP: Conceptualization, Methodology, Writing – original draft, Formal Analysis, Writing – review and editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by Zhejiang Shuren University Research Project, grant number 2023R026.

Acknowledgments

This is a short text to acknowledge the contributions of specific colleagues, institutions, or agencies that aided the efforts of the authors.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

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Keywords: stabilization and hydrophilicity mechanism, Ca-montmorillonite, density functional theory (DFT), Na2CO3 and Na2SiO3, soil stabilization, calcium-based stabilizer

Citation: Yin C, Huang J, Deng S-y, Ma C and Peng Y (2025) Sodium carbonate and sodium silicate promote the Ca-montmorillonite: the nucleation, stabilization and hydrophilicity mechanisms. Front. Chem. 13:1646971. doi: 10.3389/fchem.2025.1646971

Received: 14 June 2025; Accepted: 25 August 2025;
Published: 04 September 2025.

Edited by:

Niyazi Bulut, Firat University, Türkiye

Reviewed by:

Zhenyuan Yin, Tsinghua University, China
Ziyang Song, Tsinghua University, China

Copyright © 2025 Yin, Huang, Deng, Ma and Peng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Chenglong Yin, eWluY2hlbmdsb25nQHpqc3J1LmVkdS5jbg==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.