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Permeability and tomography-based microstructural analysis of ultra-porous bioactive glass scaffolds

Alessandro SchiaviNational Institute of Metrological Research (INRiM) 10135 Turin, ItalyFederico GaidoDepartment of Applied Science and Technology, Politecnico di Torino 10129 Turin, ItalyRoberta GabrieliDepartment of Applied Science and Technology, Politecnico di Torino 10129 Turin, ItalyDario AlidoostInterdepartmental Centre J-Tech, Politecnico di Torino 10129 Turin, ItalyMartin SchwentenweinLithoz GmbH 1060 Vienna, AustriaMehdi MohammadiLithoz GmbH 1060 Vienna, AustriaDilshat U. TulyaganovDepartment of Natural-Mathematical Sciences, Turin Polytechnic University in Tashkent 100095 Tashkent, UzbekistanEnrica VernéDepartment of Applied Science and Technology, Politecnico di Torino 10129 Turin, ItalyFrancesco BainoDepartment of Applied Science and Technology, Politecnico di Torino 10129 Turin, Italy
Materials Lettersjournal2025en
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Annotatsiya

• Permeability of ultra-porous bioactive glass scaffolds (>94 %) was determined. • Effective porosity, pore tortuosity and equivalent throat diameter were determined. • Microstructural parameters were assessed with a confidence level of 95% • The acoustic method used for assessing permeability proved to be reliable. Reliable and accurate quantification of permeability and microstructural characteristics of bioactive glass and ceramic scaffolds, which play a key role in dictating the mechanical and biological performance of the material, is challenging especially for highly-porous implants with intricate, delicate structures. In this study, we determine the major mass transport properties of exceptionally-porous bioactive glass scaffolds produced by vat photopolymerization through the implementation of the Ergun-Wu resistance model being properly supplied with experimental data. Specifically, Darcian intrinsic permeability determined via acoustic measurements and average pore diameter from the advanced micro-tomographic imaging of scaffolds were used as input to the model. An accurate and robust statistical analysis further confirms the soundness of the results obtained and of the overall methodological approach.

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