Void Volume Fraction of Granular Scaffolds

June 2023 in “ Small ”

Lindsay Riley, Grace Wei, Yijun Bao, Peter Cheng, Katrina L. Wilson, Yining Liu, Yiyang Gong, Tatiana Segura

Studysummary In this study, VVF was found to be a highly variable and unreliable measure of void space in granular scaffolds, sensitive to various input parameters and less predictive than particle count. Our plain-language summary of this paper — not a Tressless recommendation.

The study investigates the void volume fraction (VVF) of granular scaffolds using 3D simulations to understand its relationship with particle size, form, and composition. It finds that VVF is less predictable than particle count across replicate scaffolds and is highly sensitive to parameters like image quality, magnification, analysis software, and intensity threshold. The research highlights that while VVF can compare porosity within a study, it is unreliable across studies with different parameters. The study concludes that VVF alone is insufficient to describe porosity dimensions in granular scaffolds, suggesting the need for additional descriptors.

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