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Perin F, Spessot E, Famà A, Bucciarelli A, Callone E, Mota C, Motta A, Maniglio D. Modeling a Dynamic Printability Window on Polysaccharide Blend Inks for Extrusion Bioprinting. ACS Biomater Sci Eng 2023; 9:1320-1331. [PMID: 36848685 PMCID: PMC10015426 DOI: 10.1021/acsbiomaterials.2c01143] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Extrusion-based bioprinting is one of the most widespread technologies due to its affordability, wide range of processable materials, and ease of use. However, the formulation of new inks for this technique is based on time-consuming trial-and-error processes to establish the optimal ink composition and printing parameters. Here, a dynamic printability window was modeled for the assessment of the printability of polysaccharide blend inks of alginate and hyaluronic acid with the intent to build a versatile predictive tool to speed up the testing procedures. The model considers both the rheological properties of the blends (viscosity, shear thinning behavior, and viscoelasticity) and their printability (in terms of extrudability and the ability of forming a well-defined filament and detailed geometries). By imposing some conditions on the model equations, it was possible to define empirical bands in which the printability is ensured. The predictive capability of the built model was successfully verified on an untested blend of alginate and hyaluronic acid chosen to simultaneously optimize the printability index and minimize the size of the deposited filament.
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Affiliation(s)
- Francesca Perin
- Department
of Industrial Engineering and BIOtech Research Center, University of Trento, Via Sommarive 9, 38123 Trento, Italy
- European
Institute of Excellence on Tissue Engineering and Regenerative Medicine
Unit, Via delle Regole
101, 38123 Trento, Italy
- Department
of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired
Regenerative Medicine, Maastricht University, Minderbroedersberg 4-6, 6211LK Maastricht, The Netherlands
| | - Eugenia Spessot
- Department
of Industrial Engineering and BIOtech Research Center, University of Trento, Via Sommarive 9, 38123 Trento, Italy
- European
Institute of Excellence on Tissue Engineering and Regenerative Medicine
Unit, Via delle Regole
101, 38123 Trento, Italy
| | - Anna Famà
- Department
of Industrial Engineering and BIOtech Research Center, University of Trento, Via Sommarive 9, 38123 Trento, Italy
| | - Alessio Bucciarelli
- Laboratorio
RAMSES, IRCCS Istituto Ortopedico Rizzoli, via di Barbiano 1/10, 40136 Bologna, Italy
| | - Emanuela Callone
- ″Klaus
Müller″ Magnetic Resonance Lab., Department of Industrial
Engineering, University of Trento, Via Sommarive 9, 38123 Trento, Italy
| | - Carlos Mota
- Department
of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired
Regenerative Medicine, Maastricht University, Minderbroedersberg 4-6, 6211LK Maastricht, The Netherlands
| | - Antonella Motta
- Department
of Industrial Engineering and BIOtech Research Center, University of Trento, Via Sommarive 9, 38123 Trento, Italy
- European
Institute of Excellence on Tissue Engineering and Regenerative Medicine
Unit, Via delle Regole
101, 38123 Trento, Italy
| | - Devid Maniglio
- Department
of Industrial Engineering and BIOtech Research Center, University of Trento, Via Sommarive 9, 38123 Trento, Italy
- European
Institute of Excellence on Tissue Engineering and Regenerative Medicine
Unit, Via delle Regole
101, 38123 Trento, Italy
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Moon SH, Hwang HJ, Jeon HR, Park SJ, Bae IS, Yang YJ. Photocrosslinkable natural polymers in tissue engineering. Front Bioeng Biotechnol 2023; 11:1127757. [PMID: 36970625 PMCID: PMC10037533 DOI: 10.3389/fbioe.2023.1127757] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 02/15/2023] [Indexed: 03/06/2023] Open
Abstract
Natural polymers have been widely used in scaffolds for tissue engineering due to their superior biocompatibility, biodegradability, and low cytotoxicity compared to synthetic polymers. Despite these advantages, there remain drawbacks such as unsatisfying mechanical properties or low processability, which hinder natural tissue substitution. Several non-covalent or covalent crosslinking methods induced by chemicals, temperatures, pH, or light sources have been suggested to overcome these limitations. Among them, light-assisted crosslinking has been considered as a promising strategy for fabricating microstructures of scaffolds. This is due to the merits of non-invasiveness, relatively high crosslinking efficiency via light penetration, and easily controllable parameters, including light intensity or exposure time. This review focuses on photo-reactive moieties and their reaction mechanisms, which are widely exploited along with natural polymer and its tissue engineering applications.
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Affiliation(s)
- Seo Hyung Moon
- Department of Biological Sciences and Bioengineering, Inha University, Incheon, Republic of Korea
| | - Hye Jin Hwang
- Department of Biological Sciences and Bioengineering, Inha University, Incheon, Republic of Korea
| | - Hye Ryeong Jeon
- Department of Biological Engineering, Inha University, Incheon, Republic of Korea
| | - Sol Ji Park
- Department of Biological Engineering, Inha University, Incheon, Republic of Korea
| | - In Sun Bae
- Department of Biological Sciences and Bioengineering, Inha University, Incheon, Republic of Korea
| | - Yun Jung Yang
- Department of Biological Sciences and Bioengineering, Inha University, Incheon, Republic of Korea
- Department of Biological Engineering, Inha University, Incheon, Republic of Korea
- *Correspondence: Yun Jung Yang,
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Zheng K, Chen S, Zhan H, Situ J, Chen Z, Wang X, Zhang D, Zhang L. HRP-conjugated thermoresponsive copolymer as a nanoreactor for aqueous polymerization of phenols. POLYMER 2022. [DOI: 10.1016/j.polymer.2022.125383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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