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arXiv 2102.09195cond-mat.softcond-mat.mtrl-sci
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无序胶原网络中的应变局部化和屈服动力学

Strain localization and yielding dynamics in disordered collagen networks

Swarnadeep Bakshi, Vaisakh VM, Ritwick Sarkar, Sayantan Majumdar

摘要:

胶原蛋白是哺乳动物中最丰富的细胞外基质蛋白,是结缔组织的主要结构和承重成分。胶原蛋白网络显示出显著的应变硬化特性,其调节组织的机械功能并调节细胞行为。近年来,利用流变学在一系列自组装条件下对体外无序胶原网络的线性和非线性力学性质进行了广泛研究。然而,在这些系统中,宏观网络失效的发生与样品内部的局部变形之间的一对一的相关性尚未建立。在这里,我们利用剪切流变学和原位高分辨率边界成像,研究了未交联I型胶原蛋白体外重建网络的屈服动力学。我们发现,在非线性制度,微分剪切模量($K$)的网络最初增加与施加的应变,然后开始下降,因为网络开始屈服超过临界应变(屈服应变)。使用胶体示踪剂颗粒测量局部速度分布揭示,在$K$的峰值之外,网络和流变仪板之间的强应变局部化和滑移最终导致分离。我们概括了这一观察范围内的胶原蛋白浓度,施加的应变斜坡率,以及通过改变聚合温度获得的不同的网络架构。此外,通过拟合的应力-应变数据与连续仿射网络模型,我们绘制出一个状态图,显示的依赖性的屈服应变和应力的减少持久长度和网格大小的网络。我们的研究结果可以在组织工程,特别是在设计高弹性的生物支架广泛的影响。

英文摘要:

Collagen is the most abundant extracellular-matrix protein in mammals and the main structural and load-bearing element of connective tissues. Collagen networks show remarkable strain-stiffening properties which tune the mechanical functions of tissues and regulate cell behaviours. Linear and non-linear mechanical properties of in-vitro disordered collagen networks have been widely studied using rheology for a range of self-assembly conditions in recent years. However, a one to one correlation between the onset of macroscopic network failure and local deformations inside the sample is yet to be established in these systems. Here, using shear rheology and in-situ high-resolution boundary imaging, we study the yielding dynamics of in-vitro reconstituted networks of uncrosslinked type-I collagen. We find that in the non-linear regime, the differential shear modulus ($K$) of the network initially increases with applied strain and then begins to drop as the network starts to yield beyond a critical strain (yield strain). Measurement of the local velocity profile using colloidal tracer particles reveals that beyond the peak of $K$, strong strain-localization and slippage between the network and the rheometer plate sets in that eventually leads to a detachment. We generalize this observation for a range of collagen concentrations, applied strain ramp rates, as well as different network architectures obtained by varying the polymerization temperature. Furthermore, by fitting the stress vs strain data with a continuum affine network model, we map out a state diagram showing the dependence of yield-stain and -stress on the reduced persistence length and mesh size of the network. Our findings can have broad implications in tissue engineering, particularly, in designing highly resilient biological scaffolds.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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