论文标题

探索具有X射线光子相关光谱的纳米纤维网络

Exploring Nanofibrous Networks with X-ray Photon Correlation Spectroscopy

论文作者

Rosén, Tomas, He, HongRui, Wang, Ruifu, Gordeyeva, Korneliya, Motezakker, Ahmad Reza, Fluerasu, Andrei, Söderberg, L. Daniel, Hsiao, Benjamin S.

论文摘要

纳米纤维网络是我们星球上所有生命形式的基础和自然建筑策略。除了为细胞和组织提供结构完整性外,它们还提供多孔脚手架,允许物质运输,其中所得的特性依赖于纳米级网络结构。最近,提取和重新组装生物基纳米纤维以创建可持续的先进材料,其应用从高性能纺织品到人造组织,引起了人们的极大兴趣。然而,实现提取的纳米纤维的结构控制很具有挑战性,因为它很大程度上取决于提取方法和源材料。此外,小纳米纤维横截面和快速的布朗动态使它们在分散体中很难表征。在这项工作中,我们使用X射线光子相关光谱(XPCS)研究了球形金纳米颗粒(CNFS)半稀释网络(CNF)的扩散运动。我们发现,随着CNF浓度较高的浓度,运动变得越来越细化,可以将动力学分解为相互空间中的几种超级放松模式。使用封闭的Brownian动力学的模拟与模拟的XPCS-示例结合使用,我们观察到动态模式可以连接到网络中的孔径和孔间传输属性。通过使用示踪剂颗粒与数字双胞胎结合实验,可以证明的分析策略可能是了解纳米纤维网络的纳米级特性的关键。

Nanofibrous networks are the foundation and natural building strategy for all life forms on our planet. Apart from providing structural integrity to cells and tissues, they also provide a porous scaffold allowing transport of substances, where the resulting properties rely on the nanoscale network structure. Recently, there has been a great deal of interest in extracting and reassembling biobased nanofibers to create sustainable, advanced materials with applications ranging from high-performance textiles to artificial tissues. However, achieving structural control of the extracted nanofibers is challenging as it is strongly dependent on the extraction methods and source materials. Furthermore, the small nanofiber cross-sections and fast Brownian dynamics make them notoriously difficult to characterize in dispersions. In this work, we study the diffusive motion of spherical gold nanoparticles in semi-dilute networks of cellulose nanofibers (CNFs) using X-ray Photon Correlation Spectroscopy (XPCS). We find that the motion becomes increasingly subdiffusive with higher CNF concentration, where the dynamics can be decomposed into several superdiffusive relaxation modes in reciprocal space. Using simulations of confined Brownian dynamics in combination with simulated XPCS-experiments, we observe that the dynamic modes can be connected to pore sizes and inter-pore transport properties in the network. The demonstrated analytical strategy by combining experiments using tracer particles with a digital twin may be the key to understand nanoscale properties of nanofibrous networks.

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