Materials informatics for glass ionomer cements: key features and design

Area of Science:

• Dental Materials Science
• Materials Informatics
• Biomaterials Engineering

Background:

• Glass ionomer cements (GICs) are widely used dental restorative materials.
• Optimizing GIC properties requires understanding the complex interplay of various components and additives.
• Traditional experimental approaches can be time-consuming and may not fully capture structure-property relationships.

Purpose of the Study:

• To investigate additive-dependent trends in the physicochemical properties of experimental GICs.
• To apply a materials informatics framework for data analysis and trend identification.
• To identify optimal additive compositions for enhanced GIC performance.

Main Methods:

• A data-driven approach was used to analyze experimental GICs with fluoride-doped Ca-phosphates (FDCP) or Zn-polycarboxylate bioactive glass (BAG-Zn).
• Physicochemical properties (pH, ion release, compressive strength) were evaluated at different time points (1, 7, 28 days).
• Statistical and data visualization techniques, including correlation, parallel coordinate, and clustering analyses, were applied to a dataset.

Main Results:

• BAG-Zn addition increased pH and fluoride release; FDCP decreased pH but enhanced calcium release.
• Additive effects were dependent on the base GIC material (IX-GP vs. II-LC).
• Clustering analysis identified 5-10 wt% BAG-Zn as optimal, while FDCP maintained mechanical properties at higher concentrations.

Conclusions:

• The materials informatics approach successfully identified key variables and additive-dependent trends in GICs.
• This exploratory framework provides data-driven insights for future GIC formulation development.
• Systematic data expansion using this approach can accelerate the creation of improved GIC materials.