Fused filament fabrication of scaffolds for tissue engineering; how realistic is shape-memory? A review

• Published in: Polymer (Guilford) Vol. 217; p. 123440
• Main Authors: Bayart, Marie, Charlon, Sébastien, Soulestin, Jérémie
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 05.03.2021; Elsevier BV; Elsevier
• Subjects: 4D printing; Additive manufacturing (AM); Biocompatibility; Biodegradability; Biodegradation; Biomedical materials; Condensed Matter; Fabrication; Fused deposition modeling; Fused filament fabrication (FFF); Materials Science; Parameterization; Physics; Polymers; Scaffolds; Shape memory; Shape-memory polymers (SMPs); Thickness; Tissue engineering; 4D printing; Additive manufacturing (AM); Scaffolds; Fused filament fabrication (FFF); Shape-memory polymers (SMPs)
• ISSN: 0032-3861; 1873-2291
• DOI: 10.1016/j.polymer.2021.123440

Since the invention of additive manufacturing (AM) in the 1980s, great advances are today conceivable thanks to considerable evolution in recent years. Medicine, and particularly tissue engineering (TE), have high expectations regarding AM, which allows the manufacturing of complex personalized parts. Among existing techniques, fused filament fabrication (FFF) is very promising in the biomedical field, due to its many advantages, particularly for specific applications such as scaffolds for TE. This review, in interaction with biomedical, process and material sciences, aims to help researchers understand the importance of process parameterization (build orientation, raster angle, layer thickness, etc.) combined with an appropriate material choice, to develop optimized scaffolds using FFF. This review also reflects the state of existing advances and opens perspectives on the subject, especially with the use of biodegradable and biocompatible shape-memory polymers, the principle of which will be revisited and the few studies concerning shape-memory scaffolds will be gathered. [Display omitted] •A reminder includes information on materials' properties needed in biomedicine.•Studies refer to FFF and its setting optimization for the production of scaffolds.•Scaffolds' optimization is based on their composition and machine parameterization.•SMPs show great promises to develop scaffolds for tissue engineering.•The need to study the effect of FFF settings on materials' properties is growing.