Impact of material selection, processing protocol and aging on the flexural strength of lithium silicate ceramics

OBJECTIVES: To evaluate the effect of thermomechanical aging on the flexural strength of different lithium disilicate-based CAD/CAM ceramics under clinically relevant processing conditions. METHODS: A total of 192 bar-shaped specimens (15 mm×4 mm x 1.5 mm) were prepared from three CAD/CAM ceramics: two lithium disilicate (Amber Mill (AM) and IPS e.max CAD (EM)) and one lithium di/alumina-silicate (CEREC Tessera (CT)). Specimens were glazed using IPS e.max CAD Crystall./Glaze Spray or Universal Spray Glaze Fluo and subsequently processed according to material-specific crystallization protocols (conventional crystallization (cc) vs. speed crystallization (sc)), and sequences for material variants with different optical properties (high translucency processing (ht) vs. medium opacity processing (mo)). For each group (n = 32), half of the specimens were tested initially (non-aged), while the other half was subjected to artificial aging in a chewing simulator (1.2 million cycles, 50 N, 5°C/55°C). Flexural strength was determined via three-point bending. Data were analyzed using Kolmogorov-Smirnov, Kruskal-Wallis, and Mann-Whitney U tests (α=0.05). The Kaplan-Meier estimates together with the Log-Rang-test, as well as Weibull moduli, were computed. RESULTS: Comparing processing protocols within each material, differences in flexural strength were observed only for artificially aged CEREC Tessera specimens (p < 0.05). Artificial aging significantly reduced flexural strength in both AMht, AMmo and CTcc. No differences were observed among non-aged groups. Among thermomechanically aged specimens, EMcc and EMsc, and CTsc demonstrated the highest flexural strength of all groups. SIGNIFICANCE: In most cases, the selected processing protocol did not influence the flexural strength, supporting the clinical feasibility of using faster or alternative crystallization programs when endorsed by the manufacturer. Artificial aging revealed material- and processing protocol-specific reductions in flexural strength, highlighting the importance of both material composition and processing conditions in ensuring long-term clinical durability. These findings emphasize that performance differences between materials may only become clinically relevant after exposure to simulated oral aging conditions.

Authors

Institutions

Publication Details

Journal
Dental Materials
Published
2026-05-01
DOI
https://doi.org/10.1016/j.dental.2026.05.004
Primary Topic
Recycling and utilization of industrial and municipal waste in materials production
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of material selection, processing protocol and aging on the flexural strength of lithium silicate ceramics

John Meinen, Nadja Rohr, Daniel Edelhoff, Andreas Kurbad et al.
Dental Materials
Recycling and utilization of industrial and municipal waste in materials production
article

Impact of material selection, processing protocol and aging on the flexural strength of lithium silicate ceramics

John Meinen, Nadja Rohr, Daniel Edelhoff, Andreas Kurbad, Bogna Stawarczyk, Felicitas Mayinger, Carola Irlinger
article en

Abstract

OBJECTIVES: To evaluate the effect of thermomechanical aging on the flexural strength of different lithium disilicate-based CAD/CAM ceramics under clinically relevant processing conditions. METHODS: A total of 192 bar-shaped specimens (15 mm×4 mm x 1.5 mm) were prepared from three CAD/CAM ceramics: two lithium disilicate (Amber Mill (AM) and IPS e.max CAD (EM)) and one lithium di/alumina-silicate (CEREC Tessera (CT)). Specimens were glazed using IPS e.max CAD Crystall./Glaze Spray or Universal Spray Glaze Fluo and subsequently processed according to material-specific crystallization protocols (conventional crystallization (cc) vs. speed crystallization (sc)), and sequences for material variants with different optical properties (high translucency processing (ht) vs. medium opacity processing (mo)). For each group (n = 32), half of the specimens were tested initially (non-aged), while the other half was subjected to artificial aging in a chewing simulator (1.2 million cycles, 50 N, 5°C/55°C). Flexural strength was determined via three-point bending. Data were analyzed using Kolmogorov-Smirnov, Kruskal-Wallis, and Mann-Whitney U tests (α=0.05). The Kaplan-Meier estimates together with the Log-Rang-test, as well as Weibull moduli, were computed. RESULTS: Comparing processing protocols within each material, differences in flexural strength were observed only for artificially aged CEREC Tessera specimens (p < 0.05). Artificial aging significantly reduced flexural strength in both AMht, AMmo and CTcc. No differences were observed among non-aged groups. Among thermomechanically aged specimens, EMcc and EMsc, and CTsc demonstrated the highest flexural strength of all groups. SIGNIFICANCE: In most cases, the selected processing protocol did not influence the flexural strength, supporting the clinical feasibility of using faster or alternative crystallization programs when endorsed by the manufacturer. Artificial aging revealed material- and processing protocol-specific reductions in flexural strength, highlighting the importance of both material composition and processing conditions in ensuring long-term clinical durability. These findings emphasize that performance differences between materials may only become clinically relevant after exposure to simulated oral aging conditions.

Dental Materials
University of Basel (CH), University Hospital of Basel (CH), LMU Klinikum (DE), LVR-Klinik für Orthopädie Viersen (DE), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 8%
Recycling and utilization of industrial and municipal waste in materials production
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.