Dental and Medical Problems

Dent Med Probl
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ISSN 1644-387X (print)
ISSN 2300-9020 (online)
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Dental and Medical Problems

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doi: 10.17219/dmp/205161

Publication type: original article

Language: English

License: Creative Commons Attribution 3.0 Unported (CC BY 3.0)

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Schoppmeier CM, Liebermann A, Janson M. In vitro evaluation of discoloration and surface alteration in self-adhesive resin cements using CIELAB and 3D profilometry [published online as ahead of print on February 9, 2026]. Dent Med Probl. doi:10.17219/dmp/205161

In vitro evaluation of discoloration and surface alteration in self-adhesive resin cements using CIELAB and 3D profilometry

Christoph Matthias Schoppmeier1,A,B,C,D,E, Anja Liebermann2,A,E,F, Malin Janson2,A,B,C,D,E,F

1 Polyclinic for Operative Dentistry and Periodontology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany

2 Department of Prosthetic Dentistry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany

Graphical abstract


Graphical abstracts

Highlights


  • Color stability and surface roughness of 4 self-adhesive resin cements (SARCs) were evaluated after exposure to common staining agents.
  • Red wine caused the most intense discoloration and surface changes, followed by coffee and matcha tea.
  • Increases in surface roughness were correlated with higher levels of discoloration.
  • Urethane dimethacrylate (UDMA)-based SARCs (RelyX™ Universal, SpeedCEM® Plus) demonstrated greater resistance to staining and surface roughening, supporting their suitability for aesthetically demanding restorations.

Abstract

Background. Self-adhesive resin cements (SARCs) are widely used in the field of restorative dentistry due to their simplified application and adequate bonding properties. However, their long-term color and surface stability, particularly under the influence of pigment-rich dietary substances, remain a critical concern in aesthetic restorations.

Objectives. The aim of the study was to evaluate the color stability and surface roughness of 4 contemporary SARCs after immersion in various staining media using digital photography.

Material and methods. A total of 160 disc-shaped specimens (n = 40 per group) were fabricated from 4 SARCs: Maxcem Elite (MXC); G-CEM ONE (GCO); SpeedCEM® Plus (SPC); and RelyX Universal (RLX). The specimens were immersed in artificial saliva, coffee, red wine, or matcha tea at 37°C for 0 (T0), 7 (T1), 14 (T2), 21 (T3), and 28 (T4) days. Color changes (ΔE₀₀) were measured, and surface roughness parameters were evaluated using 3D laser scanning microscopy. The statistical analysis was performed using linear mixed models (LMMs) and Tukey’s honestly significant difference (HSD) post hoc test (α = 0.05).

Results. All materials showed visually perceptible color changes (ΔE₀₀ > 1.1). The highest discoloration and roughness values were observed in MXC, especially after exposure to red wine. RelyX Universal exhibited the greatest resistance to staining and surface degradation. 2-Hydroxyethyl methacrylate (HEMA)-based SARCs (MXC, GCO) were more susceptible to pigment infiltration and roughness increase than urethane dimethacrylate (UDMA)-based cements (RLX, SPC).

Conclusions. The aesthetic stability of SARCs is influenced by both material composition and exposure to staining agents. Red wine caused the most severe discoloration and surface changes, followed by coffee, matcha tea and artificial saliva. Higher water sorption and surface roughness were associated with increased staining. Preserving surface integrity is essential for maintaining the long-term aesthetic performance of SARCs.

Keywords: surface roughness, color stability, CIELAB, self-adhesive resin cement, staining media

Introduction

In recent years, there has been a noticeable shift in the aesthetic expectations of dental patients. The demand for natural-looking, tooth-colored restorations, particu­larly in the visible anterior region, has increased.1 In addition to personal beauty ideals, digital media and social networks play a decisive role in shaping patients’ percep­tions of dental aesthetics.2 As a result, the long-term color stability of restorative materials has become a central concern in clinical practice and dental research. Both the choice of ceramic and luting cement significantly influence the natural appearance of restorations.3 Even minimal discoloration of the cement can markedly affect the overall aesthetic outcome when using highly translucent ceramics.4

Self-adhesive resin cements (SARCs) have become established materials for bonding indirect restorations due to their ease of use, clinical efficiency and reliable adhesion.5 Chemically, they are based on a combination of functional monomers, such as bisphenol A-glycidyl methacrylate (Bis-GMA), urethane dimethacrylate (UDMA) and triethylene glycol dimethacrylate (TEGDMA), along with filler particles that improve their mechanical performance.6 In contrast to conventional resin cements, SARCs contain acidic monomers (e.g., phosphoric acid esters or carboxylate groups) that induce mild demineralization and enable chemical self-adhesion to the tooth substrate.5 This is particularly beneficial in deep, pulp-near preparations, as it offers protection against hypersensitivities caused by excessive etching. While this modified composition enhances adhesive properties, it may compromise the long-term stability of the bond due to reduced surface pretreatment.6

In this context, the resistance to hydrolytic degradation has become a key factor in determining the clinical durability of SARCs.7 Owing to their hydrophilic monomer content, these materials are more susceptible to water sorption, which weakens the polymer matrix, destabilizes cross-linking and alters the surface morphology.7 These changes not only increase the risk of marginal breakdown but also promote the adsorption of exogenous pigments.8, 9 Increased surface roughness further facilitates the accumulation of staining substances and hampers effective surface cleaning. As a consequence, colorants from the oral environment can more easily penetrate the material, progressively compromising long-term color stability.8 In addition to intrinsic material factors, extrinsic elements play a crucial role in the color stability of SARCs.10 Staining solutions such as red wine, coffee and matcha tea contain high concentrations of anthocyanins, tannins and oxidized polyphenols, which, due to their small molecular size and high lipophilicity, can deeply infiltrate the polymer matrix.10 Once inside, these molecules interact with the composite’s organic components, especially unpolymerized monomers, ester groups or free radicals, leading to chemical reactions such as oxidation, hydrolysis or chain scission, which may cause irreversible discoloration.11 The extent of these effects depends largely on the pH of the staining medium and on the hydrophilicity and water sorption behavior of the respective SARC.12 Strongly acidic or basic solutions tend to destabilize polymer networks and facilitate pigment diffusion, while more hydrophilic SARCs are prone to deeper penetration and internal staining due to higher water uptake.13, 14

To objectively quantify color changes, digital imaging technologies such as the eLAB system (Emulation S.Hein, Freiburg im Breisgau, Germany) are increasingly utilized. Unlike traditional spectrophotometry, the eLAB system allows for standardized calibration of light sources, camera sensors and white balance,15 ensuring reproducible and visually accurate color analysis under clinically realistic conditions. This advanced technique is particularly relevant for the evaluation of aesthetic restorative materials, as it provides a more precise and clinically meaningful assessment of color dynamics. Although numerous studies have investigated the color and surface stability of SARCs, there remains a paucity of research on the behavior of newly formulated SARCs when exposed to various staining agents.5, 16 Given the ongoing development of dental materials, a differentiated analysis is needed to assess their long-term aesthetic stability under simulated aging conditions. This study systematically investigates how pigment-rich substances, such as coffee, red wine and matcha tea, affect the color stability (ΔE00) and surface roughness (arithmetic mean height (Sa) and maximum peak-to-valley height (Sz)) of several modern SARCs. The goal is to identify material-dependent differences in discoloration and surface degradation and to evaluate the suitability of these cements for aesthetically demanding indirect restorations. The findings are intended to provide an evidence-based foundation for material selection in restorative dentistry and offer clinically rel­evant recommendations for minimizing discoloration.

The following null hypotheses were tested:

1. Storage in different staining solutions (artificial saliva, coffee, red wine, and matcha tea) does not result in significant differences in the color change (ΔE00) of the tested SARCs;

2. The surface roughness values (Sa, Sz) of the SARCs do not change significantly over the course of the investigation.

Material and methods

Preparation of study samples

The study flowchart is presented in Figure 1. A total of 160 disc-shaped samples (n = 40/SARC; diameter: 10 mm, thickness: 2 mm) were fabricated from 4 differ­ent SARCs: Maxcem Elite (Kerr Corporation, Orange, USA) (MXC); G-CEM ONE (GC Corporation, Tokyo, Japan) (GCO); SpeedCEM® Plus (Ivoclar Vivadent, Schaan, Liechtenstein) (SPC); and RelyX Universal (3M Deutschland GmbH, Neuss, Germany) (RLX). The spe­cific compositions and batch numbers of the tested materials are detailed in Table 1. Each composite was placed into a standardized Teflon mold and polymerized in two 1-mm layers, starting with the occlusal side, for 20 s using a light-emitting diode (LED) light-curing unit (Bluephase Style, 1,200 mW/cm2; Ivoclar Vivadent). After removing the mold, an additional 20-second post-curing was performed to ensure complete polymerization. A randomly selected surface of each sample was polished under wet conditions using silicon carbide abrasive papers (P320 to P1200) on a benchtop grinding and polishing machine (Ecomet® 6; Buehler, Lake Bluff, USA). Following polish­ing, the samples were ultrasonically cleaned in distilled water for 8 min,17 thoroughly rinsed, and stored in distilled water at 37°C for 24 h.

Exposure to staining media and color measurements

Each sample was randomly assigned to one of 4 experimental staining media: artificial saliva; coffee (Capsa Prodomo; Alois Dallmayr Kaffee oHG, Munich, Germany); red wine (Doppio Passo, 13% alcohol content; Casa Vinicola Botter, Fossalta di Piave, Italy); and matcha tea (Bio Matcha; Health Bar GmbH, Berlin, Germany) without pH measurement. Artificial saliva was prepared by the institutional hospital pharmacy in accordance with the formulation described by Manfro et al.18 The solution contained 22.1 mmol/L of bicarbonate, 16.1 mmol/L of potassium, 14.1 mmol/L of sodium hydrogen, 2.6 mmol/L of phosphate, 0.8 mmol/L of boric acid, 0.7 mmol/L of calcium, 0.4 mmol/L of thiocyanate, and 0.2 mmol/L of magnesium. The samples were stored in an incubator (schülke Cultura; Schülke & Mayr GmbH, Norderstedt, Germany) protected from light at a constant temperature of 37°C to simulate physiological oral conditions. After staining, all specimens were rinsed with distilled water for 10 s to remove loosely adherent surface residues and air-dried for 2 min using lint-free absorbent tissue. Color measurements were conducted at 5 defined time points: T0 (baseline); T1 (7 days); T2 (14 days); T3 (21 days); and T4 (28 days). For standardized image acquisition, a digital single-lens reflex camera (EOS 6D Mark II; Canon Inc., Tokyo, Japan) equipped with a 100-mm f/2.8 macro lens and a Macro Twin Lite MT-24EX flash system (Canon Inc.) was utilized. A cross-polarization filter (polar_eyes; Emulation, Freiburg, Germany) was employed to eliminate distracting reflections and ensure reproducible color capture. The camera settings were aligned in accordance with the methodology provided by Hein et al.: aperture of f/22; shutter speed of 1/125 s; and ISO 100.15 During image acquisition, the samples were placed into a precision-engineered acrylic plate (Palavit® L; Kulzer, Hanau, Germany) and fixed in a phantom head (frasaco GmbH, Tettnang, Germany) to ensure consistent positioning. For the cali­bration of the eLAB system, a white balance card (Emulation S.Hein) was positioned on the acrylic plate. The captured CIE L*a*b* color values were converted into the LCh color system (L*, C*, h°) to facilitate a more nuanced analysis of color changes. Color deviations were calculated using the CIEDE2000 equation (ΔE00),4 which, as an advanced color difference formula, provides a more realistic weighting of differences in lightness, saturation and hue. The scaling factors, namely SL, SC and SH account for varying perceptual sensitivities to lightness, chroma and hue. The kL, kC and kH parameters are used to adjust for specific viewing conditions. Additionally, the rotation term (RT) corrects perceptual distortions, particularly within the blue color spectrum. To evaluate color changes, clinically established thresholds, as defined by Paravina et al., were applied.19 The perceptibility threshold (PT) was set at ΔE00 = 1.1, and the clinically acceptable tolerance thresh­old was established at ΔE00 = 2.7. These values are derived from studies conducted under standardized lighting conditions, a neutral gray background, and a viewing distance of approx. 30–40 cm.20

Surface roughness analysis

A quantitative analysis of surface roughness was per­formed using a 3D laser scanning microscope (VK-X3050; Keyence Corporation, Osaka, Japan) in the vertical scanning interferometry (VSI) mode, in accordance with ISO 25178-2:2021.21 For each sample, 3 randomly selected measurement areas were captured, and their mean values were used for statistical evaluation. To assess potential microstructural changes after exposure to the staining media, the roughness parameters, namely arithmetic mean height (Sa) and maximum peak-to-valley height (Sz), were analyzed.

Statistical analysis

The sample size was calculated using G*Power software (Heinrich Heine University, Düsseldorf, Germany), based on an effect size of f = 0.4, a significance level of α = 0.05, and a test power of 80%, as established in the study by Chen et al.21 The statistical analysis was conducted using RStudio (R v. 4.4.3; Posit PBC, Boston, USA). A linear mixed model (LMM) was employed to investigate the effects of different composite types, staining media and time points on color differences (ΔE00) and surface roughness (Sa, Sz). Post hoc comparisons were performed using Tukey’s honestly significant difference (HSD) test, with the significance level set at α = 0.05.

Results

Color change

Figure 2 presents representative samples following immersion in the respective staining media across 5 defined time points (T0–T4). The LMM analysis revealed significant effects for the SARC type (F(3, 121.4), η2 = 0.716, p < 0.001), staining medium (F(3, 1273.2), η2 = 0.964, p < 0.001) and measurement time point (F(3, 1864.0), η2 = 0.928, p < 0.001). Statistically significant interactions between these factors were also observed (F(27, 45.3), η2 = 0.739, p < 0.001).

The ΔE00 values increased progressively over time (Figure 3), with MXC consistently demonstrating the most pronounced color change across all staining media. In contrast, RLX and SPC exhibited the highest overall color stability. Among the staining agents, red wine caused the most pronounced discoloration, particularly for MXC (37.91 ±2.37), while RLX showed the lowest discoloration potential in this medium (17.11 ±3.50). Compared to red wine, coffee induced less discoloration, but resulted in a significantly higher color change than matcha tea. Within the coffee group, SPC demonstrated the highest color stability, presenting the lowest ΔE00 values. Across all staining agents, RLX showed the most stable performance, with the lowest degree of discoloration observed in matcha tea (5.61 ±2.30).

Pairwise comparisons confirmed significant differences across time points and staining media. No significant differences were found between GCO and SPC in artificial saliva and matcha tea up to 21 days; however, substantial differences between these materials were observed in coffee at all time points, in matcha tea at 28 days, and in red wine at 7, 21 and 28 days. In contrast, significant distinctions were consistently observed in comparisons involving MXC and RLX. The detailed significance levels relative to established perceptibility and acceptability thresholds are summarized in Table 2. The ΔE00 values for all materials consistently exceeded the perceptibility threshold of ΔE00 = 1.1, indicating that the color changes were visually detectable. For all tested SARCs, the ΔE00 values in all staining media additionally surpassed the clinically acceptable threshold of ΔE00 = 2.7.

Surface roughness

Surface roughness parameters (Sa and Sz) varied significantly depending on the SARC type, staining medium and measurement time point. The LMM analysis revealed significant effects for the SARC type (F(3, 1549.0), η2 = 0.866, p < 0.001), staining medium (F(3, 2578.9), η2 = 0.915, p < 0.001) and time point (F(3, 2343.3), η2 = 0.929, p < 0.001), as well as significant interaction effects (F(36, 10.3), η2 = 0.340, p < 0.001).

Among the staining agents, red wine induced the highest surface roughness values, particularly for GCO (Sa: 258.95 ±3.63 nm) and MXC (Sa: 284.02 ±4.22 nm) (Figure 4). Coffee also led to a considerable increase in surface roughness, especially in MXC (Sa: 259.01 ±5.78 nm) and GCO (Sa: 253.01 ±14.7 nm). In comparison, matcha tea exhibited a lower roughening potential. The lowest Sa and Sz values were observed in artificial saliva (Table 3).

Post hoc testing confirmed statistically significant pairwise differences for most comparisons (p < 0.001). Detailed significance levels are listed in Table 3.

Discussion

The findings of this investigation led to the rejection of both null hypotheses, as color change (ΔE00) and sur­face roughness parameters (Sa, Sz) of the tested SARCs exhibited statistically significant differences over time and across different staining media. Among the evaluated materials, RLX demonstrated the highest color stability and the least increase in surface roughness, whereas MXC exhibited the most pronounced alterations across both parameters. Among the staining solutions, red wine induced the most substantial color and surface changes, followed by coffee and matcha tea. These findings emphasize the clinical relevance of material selection for highly aesthetic anterior restorations and underscore the importance of considering material-inherent properties and external influences when selecting SARCs for aesthetic cases.

Influence of staining media and their chemical composition

Central to the present study was the investigation of how various staining agents affect the color stability of different SARCs. A differentiated analysis of the chemical properties of each staining medium helped elucidate the mechanisms underlying the observed differences. The extent of discoloration varied significantly depending on the medium. The most intense staining was observed in response to red wine, followed by coffee, matcha tea and artificial saliva. This can be attributed to the high concentration of chromophoric molecules, such as anthocyanins, tannins and oxidized polyphenols, which exhibit a strong affinity for polymer matrices due to their chemical structure.22 Furthermore, the acidic pH of red wine (pH: 3.2–3.8) may promote hydrolytic degradation on the surface of the material,22 which, when combined with increased surface roughness, likely enhances pigment infiltration. Acidic environments may also trigger the breakdown of peroxide-based initiator systems, structurally weakening the polymer matrix and exposing filler particles, both of which contribute to an increase in roughness and susceptibility to staining.

Coffee also caused significant discoloration, with several materials surpassing the clinically acceptable ΔE00 threshold. Melanoidins and oxidized tannins, which are formed during the roasting process, are considered primary contributors due to their intense chromophoric activity.21 These hydrophilic pigments preferentially interact with matrix systems characterized by low cross-link density, an issue which is particularly relevant in 2-hydroxyethyl methacrylate (HEMA)-based SARCs, such as MXC and GCO. The material-dependent behavior observed in this study aligns with previous research that identified coffee as a highly staining medium.23 In contrast to prior studies, which frequently employed immersion temperatures of 65–80°C, this investigation maintained a constant temperature of 37°C to better replicate intraoral conditions. Despite the moderate temperature, substantial discoloration occurred, underscoring the strong affinity of coffee-derived pigments for hydrophilic polymer components.14 The immersion protocol used here is also considered clinically relevant. Guler et al. demonstrated that a 24-hour immersion in coffee corresponds to approx. 1 month of real-life consumption.24 Thus, the 28-day protocol used in this study simulates the effect of nearly 2 years and 8 months of habitual coffee intake.

Immersion in matcha tea led to moderate but measurable discoloration. Although matcha has a nearly neutral pH (6.0–7.0), it is rich in polyphenolic catechins, particularly epigallocatechin gallate (EGCG), that interact with the organic matrix via polar hydroxyl groups.25, 26 Several SARCs exhibited ΔE00 values comparable to those seen in the coffee group, indicating the clinical relevance of this increasingly popular beverage. Like coffee, matcha tea is prepared with hot water, meaning that both thermal and chemical mechanisms may contribute to the discoloration observed.25 Additionally, its intense green coloration—due to chlorophyll pigments—and fine particle size may promote greater surface adsorption, particularly in hydrophilic materials.25 Artificial saliva produced the least discoloration. However, HEMA-based SARCs consistently exceeded the perceptibility threshold of ΔE00 = 1.1, suggesting the occurrence of hygroscopic alterations in the polymer matrix. These findings confirm that only artificial saliva resulted in discoloration below the clinical acceptability threshold, while all pigment-rich solutions led to perceptible and potentially unacceptable changes. Notably, HEMA-based SARCs (MXC, GCO) were significantly more susceptible to staining than their UDMA-based counterparts (RLX, SPC), favoring the latter in aesthetic clinical scenarios.

Color change, surface roughness and the role of material composition

The observed variations in both color stability and sur­face roughness can be largely attributed to differences in material composition. In particular, the interaction between the polymer matrix and the filler system appears pivotal in mediating resistance to external influences.27, 28 One possible mechanism underlying these changes is the degradation of peroxide-based initiators (e.g., cumene hydroperoxide, α,α-dimethylbenzyl hydroperoxide) under acidic conditions.29 This degradation compromises the polymer structure and exposes filler particles, thereby increasing surface roughness and pigment adsorption. A positive correlation between surface roughness and color change was observed both in the present study and in previous literature.30

In the context of surface roughness, Sa increased significantly over time for the HEMA-based composites (MXC and GCO), especially after 21 and 28 days of immersion in red wine and coffee. Conversely, RLX and SPC, both of which are UDMA-based, exhibited only minimal changes in Sa and Sz, indicating superior surface stability under the tested conditions. This trend was particularly evident for SPC, which maintained the lowest Sz values (peak-to-valley height) across all staining cycles. These findings support the hypothesis that hydrophobic resin matrices and well-integrated filler systems contribute to structural integrity, whereas hydrophilic monomers promote matrix degradation and surface deterioration. Clini­cally, increased surface roughness may accelerate plaque accumulation and discoloration, thus compromising both aesthetics and material longevity. Material-dependent behavior can be explained by the chemical nature of SARCs. Maxcem Elite contains a highly hydrophilic monomer (HEMA), which facilitates water uptake and enhances pigment infiltration. Conversely, SPC and RLX are UDMA-based materials, incorporating a less hydrophilic monomer that promotes denser matrix structures and offers superior resistance to discoloration and surface deg­radation. While the organic matrix composition is widely recognized as a key factor in color stability, its role in surface roughness evolution has received comparatively less attention. Direct comparative studies between HEMA- and UDMA-based materials remain limited.31, 32 Filler content may also play a role in the superior performance of RLX. The combination of ytterbium(III) fluoride and silanized glass fillers may contribute to increased matrix density and reduced water sorption. The extent to which smaller filler particles enhance color stability and surface resilience remains unclear, as a particle-size analysis was not included in the scope of this study.

Recent studies have emphasized the importance of both polishing technique and material composition in determining the surface resilience of resin-based restoratives under acidic conditions. In particular, a recent investigation by Szalewski et al. revealed that nanohybrid composites showed no significant increase in surface roughness after immersion in highly acidic environments (pH = 2) over 21 days.33 This finding suggests that newer materials may exhibit enhanced resistance to acid-induced degradation due to optimized filler–matrix coupling, improved polymer networks, and the elimination of the oxygen inhibition layer.

While the present study focused on SARCs rather than nanohybrid composites, a similar trend was observed: RLX, a UDMA-based material with high filler content, exhibited minimal surface degradation across all media, including red wine. This finding aligns with the hypothesis that dense, hydrophobic matrices and well-integrated filler systems contribute to enhanced structural integrity in challenging environments. In contrast, HEMA-based materials, such as MXC and GCO, were more susceptible to pigment adsorption and roughness increase, likely due to their hydrophilic nature and increased water sorption.

Although polishing protocols were not part of the present experimental design, it is worth noting that surface finishing significantly influences roughness parameters, especially under acidic stress. Future investigations should integrate standardized polishing procedures and long-term acidic exposures to better simulate clinical realities, particularly in patients with high dietary acid intake or systemic conditions associated with reduced oral pH.

These results are in line with findings from a recent sys­tematic review, which emphasized that the combination of mechanical and chemical surface treatments significantly enhances the bonding performance and surface integrity of dental ceramics and resin-based materials.34 This further supports the importance of optimized filler–matrix interactions and hydrophobic resin networks in resisting both discoloration and surface degradation, as observed in the present study for UDMA-based composites.

To address the inherent susceptibility of HEMA-based systems to degradation, recent experimental approaches have focused on modifying their composition using phosphate copolymers. These modifications aim to improve mechanical properties of the material and reduce water sorption, thereby enhancing both the structural stability and resistance to discoloration.35

Clinical interpretation based on the established thresholds

The clinical relevance of the observed color changes was evaluated using perceptibility and acceptability thresholds for ΔE00.36 In all staining conditions, the ΔE00 values for all tested SARCs exceeded the clinically acceptable threshold of ΔE00 = 2.7, indicating a heightened risk of aesthetically relevant discoloration. This was particularly evident in the red wine group, where all samples surpassed the accept­ability threshold. None of the tested materials remained below the perceptibility threshold of ΔE00 = 1.1, thus confirm­ing that all changes were visually detectable. Color changes exceeding the threshold of acceptability are generally considered disruptive to aesthetics and may compromise the long-term appearance of indirect restorations. However, clinical interpretation remains context-dependent: in the anterior region, especially in high-aesthetic cases such as veneers, even minor deviations may be unacceptable, whereas in posterior zones or at conversational viewing distances (e.g., 50–60 cm), values up to 3.7 for ΔE00 may still be considered tolerable.20, 36 These findings stress the importance of selecting highly color-stable SARCs such as RLX in anterior restorations, while slightly more stain-prone materials may be acceptable in less visible regions.

Limitations

Although conducted under rigorously standardized in vitro conditions, the findings of this study are limited in their generalizability to clinical practice. Intraoral factors such as salivary flow, biofilm formation, masticatory forces, temperature variations, and self-cleansing mechanisms could not be fully replicated. Moreover, common oral hygiene practices, such as tooth brushing or the use of dental cleansers, were not included in the study, despite their potential to substantially influence surface topography and stain accumulation. The choice of stain­ing agents, while clinically relevant, does not encompass the full range of dietary habits. Furthermore, the inter­actions between dietary chromogens, salivary enzymes and oral microbiota were not addressed. To minimize the risk of overestimating discoloration due to superficial residue, all specimens were rinsed with distilled water and gently dried before undergoing color analysis. However, this standardized cleaning method cannot fully replicate the dynamic effects of intraoral self-cleansing mechanisms. Future investigations should include clinical studies that validate the in vitro results under realistic oral conditions, including the presence of biofilm, mechanical abrasion and the effects of oral hygiene interventions.

Consistent with the findings of Malysa et al., our results suggest that SARC materials may be particularly suscep­tible to hydrolytic degradation, especially under artificial aging conditions.37 Future studies should, therefore, integrate both thermal and mechanical aging protocols in order to better simulate intraoral challenges.

Conclusions

The color stability and surface integrity of contemporary SARCs are strongly influenced by their chemical composition and exposure to staining agents. Hydrophilic, HEMA-containing SARCs (MXC, GCO) exhibited the most pronounced changes in color and surface roughness, likely due to increased water uptake and pigment permeability. Red wine exhibited the strongest staining potential, which can be attributed to its high levels of anthocyanins and tannins. Coffee, matcha tea and artificial saliva showed progressively less staining potential. Increased surface roughness was associated with greater discoloration, emphasizing the importance of surface texture in pigment adhesion. This effect was most notable in MXC, which showed the greatest increase in roughness. In clinical setting, more hydrophobic, UDMA-based SARCs (RLX, SPC) are recommended, as they exhibit denser matrix structures, reduced water sorption and greater resis­tance to staining.

Ethics approval and consent to participate

Not applicable.

Data availability

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

Consent for publication

Not applicable.

Use of AI and AI-assisted technologies

Not applicable.

Tables


Table 1. Characteristics of the materials used in the study

Brand/manufacturer

Abbreviation

Batch number

Chemical composition

G-CEM ONE;
GC Corporation,
Tokyo, Japan

GCO

2312051

7,7,9-trimethyl-4,13-dioxo-3,14-dioxa-5,12-diazahexadecane-1,16-diyl bis(methacrylate)
2-hydroxy-1,3-dimethacryloxypropane
10-methacryloyloxydecyl dihydrogen phosphate
α,α-dimethylbenzyl hydroperoxide
6-tert-butyl-2,4-xylenol

Maxcem Elite;
Kerr Corporation,
Orange, USA

MXC

10463885

2-hydroxyethyl methacrylate
4-methoxyphenol
cumene hydroperoxide
α,α-dimethylbenzyl hydroperoxide
methacrylate ester monomer
titanium dioxide
pigment

SpeedCEM® Plus;
Ivoclar Vivadent,
Schaan, Liechtenstein

SPC

Z06T2Z

urethane dimethacryclate
triethylene glycol dimethacrylate
ytterbium(III) fluoride
methacrylate phosphoric acid ester
dibenzoyl peroxide
1,10-decanediol dimethacrylate
polyethylene glycol dimethacrylate

RelyX Universal;
3M Deutschland GmbH,
Neuss, Germany

RLX

10896493

urethane dimethacrylate
ytterbium(III) fluoride
glass powder (65997-17-3)
surface treated with 2-propenoic acid, 2-methyl-,3-(trimethoxysilyl) propyl ester (2530-85-0)
and trimethoxyphenylsilane (2996-92-1)
bulk material
triethylene glycol dimethacrylate
L-ascorbic acid
6-hexadecanoate
hydrate (1:2)
triethoxy(octyl)silane
hydrolysis products with silica
2-hydroxyethyl methacrylate
titanium dioxide
triphenyl phosphite

Table 2. Mean color change (ΔE00) of the tested materials across immersion intervals following exposure to staining solutions

Time point

Medium

Material

No significance

GCO

MXC

RLX

SPC

T1

artificial saliva

1.42 ±0.18

1.37 ±0.17

1.29 ±0.15

1.54 ±0.31

all

matcha tea

6.13 ±1.04

6.23 ±0.74

2.72 ±0.90

5.01 ±1.45

GCO–SPC
MXC–GCO
MXC–SPC

coffee

6.54 ±0.86

7.27 ±1.13

4.63 ±2.50

4.25 ±0.24

MXC–GCO
GCO–RLX
RLX–SPC

red wine

12.21 ±0.96

11.54 ±2.37

5.47 ±1.00

9.24 ±1.22

MXC–GCO
MXC–SPC

p-value

<0.001

T2

artificial saliva

1.59 ±0.31

1.57 ±0.04

1.41 ±0.24

1.71 ±0.23

all

matcha tea

7.75 ±0.61

7.25 ±0.74

4.21 ±2.20

5.97 ±1.45

GCO–SPC
SPC–RLX
GCO–MXC
MXC–SPC

coffee

9.46 ±0.73

12.62 ±0.64

8.65 ±1.50

4.85 ±0.36

GCO–RLX

red wine

15.21 ±1.31

21.53 ±0.58

13.12 ±3.50

15.62 ±1.45

GCO–RLX
SPC–GCO
SPC–RLX

p-value

<0.001

T3

artificial saliva

1.74 ±0.12

1.75 ±0.08

1.68 ±0.11

1.78 ±0.21

all

matcha tea

8.85 ±0.86

8.41 ±0.55

5.52 ±1.90

8.22 ±1.08

MXC–SPC
GCO–MXC
GCO–SPC

coffee

11.71 ±0.91

14.62 ±1.19

10.83 ±2.00

8.34 ±0.34

GCO–RLX

red wine

16.90 ±1.59

31.51 ±0.61

15.02 ±2.00

20.51 ±4.50

SPC–GCO
GCO–RLX

p-value

<0.001

T4

artificial saliva

1.93 ±0.16

1.86 ±0.11

1.88 ±0.15

1.98 ±0.18

all

matcha tea

12.61 ±1.64

12.34 ±0.74

5.61 ±2.30

9.55 ±0.72

GCO–MXC

coffee

14.22 ±0.83

17.51 ±1.02

12.33 ±1.53

10.92 ±0.31

red wine

21.02 ±1.72

37.91 ±2.37

17.11 ±3.50

32.43 ±4.50

p-value

<0.001

Data presented as mean ± standard deviation (M ±SD); T1 – after 7 days; T2 – after 14 days; T3 – after 21 days; T4 – after 28 days.
Table 3. Mean surface roughness values of the tested materials across immersion intervals following exposure to staining solutions

Parameter

Medium

Material

T0

T1

T2

T3

T4

Sa
[nm]

artificial saliva

GCO

149.03 ±7.08

154.96 ±3.24

163.02 ±2.80

173.07 ±5.38

177.94 ±3.36

MXC

145.11 ±3.68

153.04 ±3.63

156.98 ±2.38

164.06 ±4.77*

178.02 ±2.30*

RLX

129.97 ±4.02*a

139.05 ±6.08*a

146.01 ±4.84*a

150.96 ±4.27*a

164.09 ±4.77*

SPC

143.06 ±8.20b

149.02 ±7.08

156.08 ±6.27

154.95 ±3.24*a

173.11 ±9.24

matcha tea

GCO

160.04 ±3.71

166.12 ±14.50

197.96 ±7.17

199.08 ±3.26

218.93 ±4.65

MXC

171.02 ±4.86*

180.91 ±12.60

183.05 ±6.52*

198.97 ±10.10

204.11 ±6.38*

RLX

132.94 ±6.52*a

131.08 ±13.40*a

144.03 ±7.46*a

164.09 ±7.34*a

200.95 ±4.67*

SPC

141.07 ±7.14*a

133.96 ±10.30*a

149.01 ±6.84*a

162.92 ±7.62*a

181.06 ±8.51*ab

coffee

GCO

163.05 ±9.40

199.02 ±2.94

201.07 ±8.74

222.96 ±10.10

253.01 ±14.70

MXC

173.04 ±6.67

194.06 ±9.22

210.09 ±6.53

232.03 ±10.80

259.01 ±5.78

RLX

130.02 ±8.73*a

146.08 ±11.40*a

158.95 ±6.66*a

199.06 ±7.18*a

210.04 ±5.06*a

SPC

139.01 ±4.34*a

150.05 ±9.06*a

178.07 ±4.86*ab

195.09 ±9.98*a

205.02 ±4.78*a

red wine

GCO

175.06 ±3.16

214.97 ±3.96

227.03 ±3.31

238.09 ±3.77

258.95 ±3.63

MXC

193.04 ±7.06*

221.08 ±8.89

238.01 ±4.99*

266.06 ±4.48*

284.02 ±4.22*

RLX

148.03 ±3.62*a

163.05 ±5.10*a

178.07 ±3.63*a

220.01 ±5.19*a

238.04 ±4.20*a

SPC

147.98 ±2.16*a

156.06 ±3.33*a

209.03 ±4.40*ab

222.08 ±5.27*a

232.96 ±4.97*a

p-value

<0.001

<0.001

<0.001

Sz
[µm]

artificial saliva

GCO

1.45 ±0.12

1.48 ±0.10

1.59 ±0.07

1.73 ±0.07

1.83 ±0.06

MXC

1.42 ±0.05

1.49 ±0.03

1.57 ±0.04

1.75 ±0.04

1.86 ±0.06

RLX

1.35 ±0.04*a

1.49 ±0.10*a

1.52 ±0.09*a

1.68 ±0.12*a

1.74 ±0.25*a

SPC

1.30 ±0.06

1.42 ±0.05*ab

1.54 ±0.04*a

1.67 ±0.06*a

1.75 ±0.07*a

matcha tea

GCO

2.18 ±0.12

2.39 ±0.14

2.56 ±0.11

2.73 ±0.09

2.88 ±0.08

MXC

2.25 ±0.10

2.47 ±0.13

2.61 ±0.15

2.79 ±0.12

2.94 ±0.10

RLX

2.03 ±0.09*a

2.22 ±0.10*a

2.41 ±0.13*a

2.53 ±0.12*a

2.64 ±0.11*

SPC

2.07 ±0.11*a

2.21 ±0.17*a

2.43 ±0.17*a

2.51 ±0.11*a

2.62 ±0.07*a

coffee

GCO

2.28 ±0.08

2.42 ±0.06

2.61 ±0.08

2.84 ±0.05

3.02 ±0.04

MXC

2.21 ±0.05*

2.36 ±0.07

2.59 ±0.06

2.71 ±0.10*

2.95 ±0.23

RLX

1.92 ±0.14*a

2.04 ±0.72*a

2.15 ±0.12*a

2.29 ±0.67*a

2.37 ±0.05*

SPC

1.85 ±0.06*a

1.94 ±0.05*ab

2.07 ±0.09*a

2.21 ±0.04*a

2.33 ±0.06*a

red wine

GCO

3.12 ±0.09

3.41 ±0.06

3.74 ±0.08

3.93 ±0.05

4.19 ±0.07

MXC

3.04 ±0.07

3.28 ±0.05*

3.59 ±0.06*

3.87 ±0.06

4.08 ±1.20*

RLX

2.66 ±0.05*a

2.87 ±0.77*a

3.13 ±0.07*a

3.35 ±0.06*a

3.56 ±0.07*a

SPC

2.59 ±0.06*a

2.81 ±0.07*a

3.05 ±0.08*ab

3.29 ±0.09*a

3.44 ±0.04*ab

p-value

<0.001

<0.001

<0.001

Data presented as M ±SD; Sa – arithmetic mean height; Sz – maximum peak-to-valley height; T0 – baseline. Superscript symbols (*, a, b) indicate statistically significant differences (p < 0.05) between materials at the same time point, as follows: * significantly different from GCO; a significantly different from MXC; b significantly different from RLX.

Figures


Fig. 1. Flowchart of the study
SARCs – self-adhesive resin cements.
Fig. 2. Representative images of self-adhesive resin cement (SARC) specimens immersed in different staining solutions at baseline (T0) and after 7 (T1), 14 (T2), 21 (T3), and 28 (T4) days
GCO – G-CEM ONE; MXC – Maxcem Elite; RLX – RelyX Universal; SPC – SpeedCEM® Plus.
Fig. 3. Mean color change (ΔE00) of the tested self-adhesive resin cements (SARCs) across immersion intervals following exposure to different staining solutions
Fig. 4. Changes in surface roughness (Sa) of the tested self-adhesive resin cements (SARCs) across immersion intervals following exposure to different staining solutions

References (37)

  1. Klages U, Bruckner A, Zentner A. Dental aesthetics, self-awareness, and oral health-related quality of life in young adults. Eur J Orthod. 2004;26(5):507–514. doi:10.1093/ejo/26.5.507
  2. Vanga A, Gomasani S. Impact of social media on dental treatment choices among medical and nonmedical graduates in Nellore city: A cross-sectional survey. J Oral Health Comm Dent. 2024;18(1):9–12. doi:10.5005/jp-journals-10062-0181
  3. de Oliveira NG, Espíndola-Castro LF, Rocha JC, et al. Influence of the self-adhering strategy on microhardness, sorption, solubility, color stability, and cytotoxicity compared to bulk-fill and conventional resin composites. Clin Oral Investig. 2022;26(11):6663–6670. doi:10.1007/s00784-022-04624-5
  4. Janson M, Liebermann A, Schoppmeier CM. Color stability and surface roughness of novel single-shade universal composite resins exposed to staining solutions: An in vitro study. Saudi Dent J. 2025;37(4–6):28. doi:10.1007/s44445-025-00035-w
  5. Alvarenga M, Machado L, Prado A, Veloso S, Monteiro G. Self-adhesive resin cement versus conventional cements on the failure rate of indirect single-tooth restorations: A systematic review and meta-analysis of randomized clinical trials. J Prosthet Dent. 2024;132(5):880.e881–880.e888. doi:10.1016/j.prosdent.2024.04.027
  6. Heboyan A, Vardanyan A, Karobari MI, et al. Dental luting cements: An updated comprehensive review. Molecules. 2023;28(4):1619. doi:10.3390/molecules28041619
  7. Petropoulou A, Vrochari AD, Hellwig E, Stampf S, Polydorou O. Water sorption and water solubility of self-etching and self-adhesive resin cements. J Prosthet Dent. 2015;114(5):674–679. doi:10.1016/j.prosdent.2015.06.002
  8. Durand LB, Ruiz-López J, Perez BG, et al. Color, lightness, chroma, hue, and translucency adjustment potential of resin composites using CIEDE2000 color difference formula. J Esthet Restor Dent. 2021;33(6):836–843. doi:10.1111/jerd.12689
  9. Villarroel M, Fahl N, De Sousa AM, De Oliveira OB. Direct esthetic restorations based on translucency and opacity of composite resins. J Esthet Restor Dent. 2011;23(2):73–87. doi:10.1111/j.1708-8240.2010.00392.x
  10. Liebermann A, Roos M, Stawarczyk B. The effect of different storage media on color stability of self-adhesive composite resin cements for up to one year. Materials (Basel). 2017;10(3):300. doi:10.3390/ma10030300
  11. Elmalawany LM, El-Refai DA, Alian GA. Change in surface properties of two different dental resin composites after using various beverages and brushing. BMC Oral Health. 2023;23(1):966. doi:10.1186/s12903-023-03710-8
  12. Roedel L, Bednarzig V, Belli R, Petschelt A, Lohbauer U, Zorzin J. Self-adhesive resin cements: pH-neutralization, hydrophilicity, and hygroscopic expansion stress. Clin Oral Investig. 2017;21(5):1735–1741. doi:10.1007/s00784-016-1947-4
  13. Uctasli MB, Garoushi S, Uctasli M, Vallittu PK, Lassila L. A comparative assessment of color stability among various commercial resin composites. BMC Oral Health. 2023;23(1):789. doi:10.1186/s12903-023-03515-9
  14. Ertaş E, Güler AU, Yücel AC, Köprülü H, Güler E. Color stability of resin composites after immersion in different drinks. Dent Mater J. 2006;25(2):371–376. PMID:16916243.
  15. Hein S, Modrić D, Westland S, Tomeček M. Objective shade matching, communication, and reproduction by combining dental photography and numeric shade quantification. J Esthet Restor Dent. 2021;33(1):107–117. doi:10.1111/jerd.12641
  16. Borouziniat A, Majidinia S, Shirazi AS, Kahnemuee F. Comparison of bond strength of self-adhesive and self-etch or total-etch resin cement to zirconia: A systematic review and meta-analysis. J Conserv Dent Endod. 2024;27(2):113–125. doi:10.4103/jcde.Jcde_225_23
  17. Liebermann A, Detzer J, Stawarczyk B. Impact of recently developed universal adhesives on tensile bond strength to computer-aided design/manufacturing ceramics. Oper Dent. 2019;44(4):386–395. doi:10.2341/18-017-L
  18. Manfro ARG, Reis A, Loguercio AD, Imparato JCP, Raggio DP. Effect of different concentrations of chlorhexidine on bond strength of primary dentin. Pediatr Dent. 2012;34(2):e11–e15. PMID:22583871.
  19. Paravina RD, Ghinea R, Herrera LJ, et al. Color difference thresholds in dentistry. J Esthet Restor Dent. 2015;27 Suppl 1:S1–S9. doi:10.1111/jerd.12149
  20. Khashayar G, Bain PA, Salari S, Dozic A, Kleverlaan CJ, Feilzer AJ. Perceptibility and acceptability thresholds for colour differences in dentistry. J Dent. 2014;42(6):637–644. doi:10.1016/j.jdent.2013.11.017
  21. Chen S, Zhu J, Yu M, Jin C, Huang C. Effect of aging and bleaching on the color stability and surface roughness of a recently introduced single-shade composite resin. J Dent. 2024;143:104917. doi:10.1016/j.jdent.2024.104917
  22. Catelan A, Briso ALF, Sundfeld RH, Goiato MC, dos Santos PH. Color stability of sealed composite resin restorative materials after ultraviolet artificial aging and immersion in staining solutions. J Prosthet Dent. 2011;105(4):236–241. doi:10.1016/s0022-3913(11)60038-3
  23. Tavangar M, Bagheri R, Kwon TY, Mese A, Manton DJ. Influence of beverages and surface roughness on the color change of resin composites. J Investig Clin Dent. 2018;9(3):e12333. doi:10.1111/jicd.12333
  24. Guler AU, Yilmaz F, Kulunk T, Guler E, Kurt S. Effects of different drinks on stainability of resin composite provisional restorative materials. J Prosthet Dent. 2005;94(2):118–124. doi:10.1016/j.prosdent.2005.05.004
  25. Jakubczyk K, Kochman J, Kwiatkowska A, et al. Antioxidant properties and nutritional composition of matcha green tea. Foods. 2020;9(4):483. doi:10.3390/foods9040483
  26. Najman K, Sadowska A, Wolińska M, Starczewska K, Buczak K. The content of bioactive compounds and technological properties of matcha green tea and its application in the design of functional beverages. Molecules. 2023;28(20):7018. doi:10.3390/molecules28207018
  27. Fazlioğlu L, Oğlakçi B, Özduman ZC, Eligüzeloğlu Dalkiliç E. The color change of a novel single-shade composite immersed in different beverages. Bezmialem Science. 2022;10(6):716–721. doi:10.14235/bas.galenos.2022.35220
  28. Gönülol N, Yilmaz F. The effects of finishing and polishing techniques on surface roughness and color stability of nanocomposites. J Dent. 2012;40 Suppl 2:e64–e70. doi:10.1016/j.jdent.2012.07.005
  29. Lamparth I, Angermann J, Fässler P, et al. Influence of the hydroperoxide structure on the reactivity and mechanical properties of self-cure dental composites. Dent Mater. 2024;40(8):1191–1198. doi:10.1016/j.dental.2024.06.008
  30. Guler S, Unal M. The evaluation of color and surface roughness changes in resin based restorative materials with different contents after waiting in various liquids: An SEM and AFM study. Microsc Res Tech. 2018;81(12):1422–1433. doi:10.1002/jemt.23104
  31. Wu D, Yao Y, Cifuentes-Jimenez CC, et al. Long-term dentin bonding performance of universal adhesives: The effect of HEMA content and bioactive resin composite. J Funct Biomater. 2024;15(12):379. doi:10.3390/jfb15120379
  32. Fonseca ASQS, Labruna Moreira AD, de Albuquerque PP, de Menezes LR, Pfeifer CS, Schneider LF. Effect of monomer type on the CC degree of conversion, water sorption and solubility, and color stability of model dental composites. Dent Mater. 2017;33(4):394–401. doi:10.1016/j.dental.2017.01.010
  33. Szalewski L, Wójcik D, Sowa M, Vivcharenko V, Pałka K. Influence of low pH on the microhardness and roughness surface of dental composite – a preliminary study. Materials (Basel). 2024;17(14):3443. doi:10.3390/ma17143443
  34. Malysa A, Wezgowiec J, Orzeszek S, Florjanski W, Zietek M, Wieckiewicz M. Effect of different surface treatment methods on bond strength of dental ceramics to dental hard tissues: A systematic review. Molecules. 2021;26(5):1223. doi:10.3390/molecules26051223
  35. Golbari N, Valian A, Najafi F. Effect of coating fillers with HEMA-phosphate copolymer on the mechanical properties of an experimental composite resin. Dent Med Probl. 2025;62(1):115–124. doi:10.17219/dmp/134147
  36. Paravina RD, Ghinea R, Herrera LJ, et al. Color difference thresholds in dentistry. J Esthet Restor Dent. 2015;27 Suppl 1:S1–S9. doi:10.1111/jerd.12149
  37. Malysa A, Wezgowiec J, Grzebieluch W, Danel DP, Wieckiewicz M. Effect of thermocycling on the bond strength of self-adhesive resin cements used for luting CAD/CAM ceramics to human dentin. Int J Mol Sci. 2022;23(2):745. doi:10.3390/ijms23020745