Optimising Bioprinting Nozzles through Computational Modelling and Design of Experiments
-
Published:2024-07-29
Issue:8
Volume:9
Page:460
-
ISSN:2313-7673
-
Container-title:Biomimetics
-
language:en
-
Short-container-title:Biomimetics
Author:
Blanco Juan C. Gómez1ORCID, Macías-García Antonio2ORCID, Rodríguez-Rego Jesús M.2ORCID, Mendoza-Cerezo Laura2ORCID, Sánchez-Margallo Francisco M.1ORCID, Marcos-Romero Alfonso C.2ORCID, Pagador-Carrasco José B.1ORCID
Affiliation:
1. Jesús Usón Minimally Invasive Surgery Centre, Carretera N-521, km41.8, 10071 Cáceres, Spain 2. Department of Mechanical, Energy and Materials Engineering, School of Industrial Engineering, University of Extremadura, Avenida de Elvas, s/n, 06006 Badajoz, Spain
Abstract
3D bioprinting is a promising technique for creating artificial tissues and organs. One of the main challenges of bioprinting is cell damage, due to high pressures and tensions. During the biofabrication process, extrusion bioprinting usually results in low cell viability, typically ranging from 40% to 80%, although better printing performance with higher cell viability can be achieved by optimising the experimental design and operating conditions, with nozzle geometry being a key factor. This article presents a review of studies that have used computational fluid dynamics (CFD) to optimise nozzle geometry. They show that the optimal ranges for diameter and length are 0.2 mm to 1 mm and 8 mm to 10 mm, respectively. In addition, it is recommended that the nozzle should have an internal angle of 20 to 30 degrees, an internal coating of ethylenediaminetetraacetic acid (EDTA), and a shear stress of less than 10 kPa. In addition, a design of experiments technique to obtain an optimal 3D bioprinting configuration for a bioink is also presented. This experimental design would identify bioprinting conditions that minimise cell damage and improve the viability of the printed cells.
Funder
European Regional Development Fund project BIOIMP_ACE_MAS_6_E
Reference78 articles.
1. Reina-Romo, E., Mandal, S., Amorim, P., Bloemen, V., Ferraris, E., and Geris, L. (2021). Towards the Experimentally-Informed In Silico Nozzle Design Optimization for Extrusion-Based Bioprinting of Shear-Thinning Hydrogels. Front. Bioeng. Biotechnol., 9. 2. Investigation of the effect of nozzle design on rheological bioprinting properties using computational fluid dynamics;Dernowsek;Matér. Rio Jan.,2019 3. Emmermacher, J., Spura, D., Cziommer, J., Kilian, D., Wollborn, T., Fritsching, U., Steingroewer, J., Walther, T., Gelinsky, M., and Lode, A. (2020). Engineering considerations on extrusion-based bioprinting: Interactions of material behavior, mechanical forces and cells in the printing needle. Biofabrication, 12. 4. Göhl, J., Markstedt, K., Mark, A., Håkansson, K., Gatenholm, P., and Edelvik, F. (2018). Simulations of 3D bioprinting: Predicting bioprintability of nanofibrillar inks. Biofabrication, 10. 5. Henriques, J., Neves, N., and de Carvalho, P. (2019, January 26–28). Computational Fluid Dynamics Study of Inlet Velocity on Extrusion-Based Bioprinting. Proceedings of the XV Mediterranean Conference on Medical and Biological Engineering and Computing—MEDICON 2019, Coimbra, Portugal.
|
|