Distler T, Schaller E, Steinmann P, Boccaccini A R, Budday S
Institute of Biomaterials, Department of Materials Science and Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, 91058, Erlangen, Germany.
Institute of Applied Mechanics, Department of Mechanical Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, 91058, Erlangen, Germany.
J Mech Behav Biomed Mater. 2020 Nov;111:103979. doi: 10.1016/j.jmbbm.2020.103979. Epub 2020 Aug 8.
Mimicking the mechanical properties of native human tissues is one key route in tissue engineering. However, the successful creation of functional tissue equivalents requires the comprehensive understanding of the complex and nonlinear mechanical properties of both native tissues and biomaterials. Here, we demonstrate that it is possible to replicate the complex mechanical behavior of soft tissues, exemplary shown for porcine brain tissue, under multiple loading conditions, compression, tension, and torsional shear, through simple blends of alginate and gelatin hydrogels. Alginate exhibits a pronounced compression-tension asymmetry and a nonlinear behavior, while gelatin shows an almost linear response. Blended together, alginate-gelatin (ALG-GEL) hydrogels can resemble the characteristic nonlinear, conditioning, and compression-tension-asymmetric behavior of brain tissue. We demonstrate that hydrogel concentration and incubation effectively tune the stiffness and loading-mode-specific stress relaxation behavior. The stiffness increases with increasing hydrogel concentration and decreases with increasing incubation time. In addition, we observe slower stress relaxation after long incubation times. Our systematic approach highlights the importance of single component, multi-modal mechanical analysis of hydrogels to understand the distinct structure-mechanics relation of each hydrogel component to eventually mimic the response of native tissues. The presented dataset will allow for the structurally derived compositional design of hydrogels for a broad variety of tissue engineering applications.
模拟人体天然组织的力学性能是组织工程的一条关键途径。然而,要成功创建功能性组织替代物,需要全面了解天然组织和生物材料复杂的非线性力学性能。在此,我们证明,通过藻酸盐和明胶水凝胶的简单混合,能够在多种加载条件下,即压缩、拉伸和扭转剪切条件下,复制软组织(以猪脑组织为例)复杂的力学行为。藻酸盐表现出明显的压缩 - 拉伸不对称性和非线性行为,而明胶则表现出几乎线性的响应。藻酸盐 - 明胶(ALG - GEL)水凝胶混合在一起时,可以模拟脑组织特有的非线性、适应性和压缩 - 拉伸不对称行为。我们证明,水凝胶浓度和孵育时间能有效调节刚度和特定加载模式下的应力松弛行为。刚度随水凝胶浓度增加而增大,随孵育时间增加而减小。此外,我们观察到长时间孵育后应力松弛变慢。我们的系统方法突出了对水凝胶进行单组分、多模态力学分析的重要性,以了解每种水凝胶组分独特的结构 - 力学关系,最终模拟天然组织的响应。所呈现的数据集将有助于为广泛的组织工程应用进行基于结构的水凝胶成分设计。