Abstract

In the context of tissue engineering, biofabrication techniques are employed to process cells in hydrogel-based matrices, known as bioinks, into complex 3D structures. The aim is the production of functional tissue models or even entire organs. The regenerative production of biological tissues adheres to a multitude of criteria that ultimately determine the maturation of a functional tissue. These criteria are of biological nature, such as the biomimetic spatial positioning of different cell types within a physiologically and mechanically suitable matrix, which enables tissue maturation. Furthermore, the processing, a combination of technical procedures and biological materials, has proven highly challenging since cells are sensitive to stress, for example from shear and tensile forces, which may affect their vitality. On the other hand, high resolutions are pursued to create optimal conditions for subsequent tissue maturation. From an analytical perspective, it is prudent to first investigate the printing behavior of bioinks before undertaking complex biological tests. According to our findings, conventional shear rheological tests are insufficient to fully characterize the printing behavior of a bioink. For this reason, we have developed optical methods that, complementarily to the already developed tests, allow for quantification of printing quality and further viscoelastic modeling of bioinks.

Details

Title
Advanced optical assessment and modeling of extrusion bioprinting
Author
Lamberger, Zan 1 ; Schubert, Dirk W. 2 ; Buechner, Margitta 2 ; Cabezas, Nathaly Chicaiza 1 ; Schrüfer, Stefan 2 ; Murenu, Nicoletta 3 ; Schaefer, Natascha 3 ; Lang, Gregor 1   VIAFID ORCID Logo 

 University Hospital of Würzburg, Department for Functional Materials in Medicine and Dentistry, Würzburg, Germany (GRID:grid.411760.5) (ISNI:0000 0001 1378 7891) 
 University of Erlangen-Nuremberg, Department of Materials Science and Engineering, Erlangen, Germany (GRID:grid.5330.5) (ISNI:0000 0001 2107 3311) 
 University Hospital of Würzburg, Institute for Clinical Neurobiology, Würzburg, Germany (GRID:grid.411760.5) (ISNI:0000 0001 1378 7891) 
Pages
13972
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3068991343
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.