| Literature DB >> 30149507 |
Mythili Prakasam1, Ali Chirazi2, Grzegorz Pyka3, Anna Prokhodtseva4, Daniel Lichau5, Alain Largeteau6.
Abstract
Biomaterial for tissue engineering is a topic of huge progress with a recent surge in fabrication and characterization advances. Biomaterials for tissue engineering applications or as scaffolds depend on various parameters such as fabrication technology, porosity, pore size, mechanical strength, and surface available for cell attachment. To serve the function of the scaffold, the porous biomaterial should have enough mechanical strength to aid in tissue engineering. With a new manufacturing technology, we have obtained high strength materials by optimizing a few processing parameters such as pressure, temperature, and dwell time, yielding the monolith with porosity in the range of 80%⁻93%. The three-dimensional interconnectivity of the porous media through scales for the newly manufactured biomaterial has been investigated using newly developed 3D correlative and multi-modal imaging techniques. Multiscale X-ray tomography, FIB-SEM Slice & View stacking, and high-resolution STEM-EDS electronic tomography observations have been combined allowing quantification of morphological and geometrical spatial distributions of the multiscale porous network through length scales spanning from tens of microns to less than a nanometer. The spatial distribution of the wall thickness has also been investigated and its possible relationship with pore connectivity and size distribution has been studied.Entities:
Keywords: biomaterials; bone regeneration; microstructure; porous materials; tissue engineering
Year: 2018 PMID: 30149507 PMCID: PMC6164489 DOI: 10.3390/jfb9030051
Source DB: PubMed Journal: J Funct Biomater ISSN: 2079-4983
Figure 1Le Bail [18]—Possibilities of high pressure processing based on the phase diagram of water.
Figure 2Porous TiO2 ceramics obtained by FIP processing.
Figure 3Correlating low resolution (LR) µCT to high resolution (HR) µCT. ROI = region of interest.
Figure 4Correlating high resolution µCT to FIB-SEM Stacking.
Figure 5Example of porous wall’s thickness variation, topology, and tortuosity.
Figure 6Defining and extracting ROI for TEM lamella.
Figure 7TEM Lamella correlation.
Figure 8Schematics of full correlation workflow.
Figure 9Porous media quantification throughout scales.
Figure 10Porous media quantification throughout scales.
Figure 11Porous media quantification throughout scales.
Figure 12Porous media quantification throughout scales.