Review of additive manufactured tissue engineering scaffolds: relationship between geometry and performance. Issue 1 (3rd July 2018)

• Record Type: Journal Article
• Authors: Gleadall, Andrew; Visscher, Dafydd; Yang, Jing; Thomas, Daniel; Segal, Joel
• Is Part Of: Burns and trauma. Volume 6:Issue 1(2018)
• Publication Date: 2018-07-03
• Subjects: Fused deposition modelling -- Bioprinting -- 3D printing -- Scaffold architecture -- Tissue engineering constructs -- Regenerative medicine; Burns and scalds -- Periodicals; Wounds and injuries -- Periodicals; 617.11
• DOI: 10.1186/s41038-018-0121-4
• Languages: English
• ISSNs: 2321-3876

Abstract

Abstract: Material extrusion additive manufacturing has rapidly grown in use for tissue engineering research since its adoption in the year 2000. It has enabled researchers to produce scaffolds with intricate porous geometries that were not feasible with traditional manufacturing processes. Researchers can control the structural geometry through a wide range of customisable printing parameters and design choices including material, print path, temperature, and many other process parameters. Currently, the impact of these choices is not fully understood. This review focuses on how the position and orientation of extruded filaments, which sometimes referred to as the print path, lay-down pattern, or simply "scaffold design", affect scaffold properties and biological performance. By analysing trends across multiple studies, new understanding was developed on how filament position affects mechanical properties. Biological performance was also found to be affected by filament position, but a lack of consensus between studies indicates a need for further research and understanding. In most research studies, scaffold design was dictated by capabilities of additive manufacturing software rather than free-form design of structural geometry optimised for biological requirements. There is scope for much greater application of engineering innovation to additive manufacture novel geometries. To achieve this, better understanding of biological requirements is needed to enable the effective specification of ideal scaffold geometries.