Analysis and modelling of in vitro bioactivity for bioactive glass microspheres and granules in continuous fluid flow conditions

Polina Sinitsyna*, Markus Engblom, Leena Hupa*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

In vitro reactions of granules and microspheres (45–90 µm) of the bioactive glass S53P4 and an experimental composition with 5 mol.% K2O substituted for Na2O in S53P4 were studied in continuous fluid flow conditions. The dissolution experiments were performed with a 0.2 mL/min flow rate in TRIS buffer up to 24 h. Granules provided higher initial release and pH changes, while at the longest time point, 24 h, the release of Na+K, Ca, and Si was similar for granules and microspheres. The reaction layers (Si-rich and CaP) were evaluated via SEM-EDX analysis. Granules exhibited a thicker Si-rich layer than the microspheres of both glasses. At the same time, a more developed CaP surface layer was detected for S53P4 microspheres than granules. Microspheres, with their uniform shape and size distribution, provided a controlled porosity in the reactor, allowing a more uniform solution flow through the particle bed. A shrinking core model based on the external mass transport coefficient, diffusion through the Si-rich layer, and dissolution rate coefficient was used to predict the initial dissolution kinetics of the glass microspheres in the TRIS buffer. The calculated model parameters provided an appropriate fit with the experimental data for the calcium and alkalis release from the microspheres. The results imply that microspheres offer a good platform for calculating the model parameters for predicting the dissolution mechanism of silicate-based bioactive glasses.

Original languageEnglish
Article number123029
JournalJournal of Non-Crystalline Solids
Volume637
DOIs
Publication statusPublished - 1 Aug 2024
MoE publication typeA1 Journal article-refereed

Keywords

  • Bioactive glass S53P4
  • Dynamic dissolution
  • Microspheres
  • Shrinking core model

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