Mesoscopic Network Topology and Permeability of Adaptive Amphiphilic Conetworks

自适应两亲共网络的介观网络拓扑和渗透性

• 批准号: 423373052
• 负责人: Professor Dr. Sebastian Seiffert, Ph.D.
• 金额: --
• 依托单位: Department Chemie
• 依托单位国家: 德国
• 项目类别: Research Units
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/423373052?language=en
• 关键词: Mesoscopic; Network; Topology; Permeability; Adaptive

Polymer model networks with controlled mesh structure and network topology provide a well-defined basis for derivation of systematic relations between structure and properties of these soft and adaptive materials, with a prime view to unravelling the impact of structural defects and inhomogeneities in the networks. A splendid approach of realizing well-defined and nearly defect-free model network structures is the tetra-PEG approach by Sakai et al. from 2008, which is based on click-chemical interconnection of two heterocomplementary four-arm star-shaped PEG precursors. Our research initiative targets at applying this approach to 2 × 2 different types of amphiphilic conetworks (ACN); these are (A) covalently-jointed permanent as well as (B) ionically-jointed reversible ACN, each realized either from (1) two separate hydrophilic and hydrophobic heterocomplementary star-shaped building blocks or from (2) two kinds of heterocomplementary star-shaped building blocks that both exhibit hydrophilic-hydrophobic core–shell morphologies. To derive structure-property relations of these ACN, with a prime view on their potential nano-, micro-, or even macrophase-separated domains and potential ionic cluster structures, it is necessary to conduct a comprehensive structural characterization on different relevant lengthscales. The present project aims at providing such characterization by scattering methods, predominantly static and dynamic light scattering, as well as through investigation of the diffusive penetration of nanoscopic probes through the networks probed by fluorescence recovery after photobleaching. Both allows structural pictures to be derived. These pictures, along with the primary data themselves (scattering curves and diffusive paths) will be correlated to complementary theoretical models of the same data in other sub-projects of our research group to interrelate the resulting material properties (mostly in view of viscoelasticity and selective and switchable permeability) to the network synthesis parameters.

具有可控制的网状结构和网络拓扑的聚合物模型网络为推导这些柔软和自适应材料的结构和性能之间的系统关系提供了良好的基础，并主要着眼于揭示网络中结构缺陷和不均匀性的影响。Sakai等人于2008年提出的四聚乙二醇方法是实现定义良好且几乎没有缺陷的模型网络结构的一种出色方法，该方法基于两个异互补四臂星形PEG前体的点击化学互连。我们的研究计划旨在将这种方法应用于2 × 2不同类型的两亲性网络（ACN）；它们分别是(A)共价连接的永久ACN和(B)离子连接的可逆ACN，每一种ACN都是由(1)两个独立的亲水和疏水异互补星形构建块实现的，或者是由(2)两种均具有亲疏水核壳形态的异互补星形构建块实现的。为了得出这些ACN的结构-性能关系，并初步了解其潜在的纳米、微观甚至大相分离域和潜在的离子簇结构，有必要在不同相关的长度尺度上进行全面的结构表征。本项目旨在通过散射方法，主要是静态和动态光散射，以及通过研究纳米探针在光漂白后荧光恢复所探测的网络中的扩散渗透来提供这种表征。两者都可以导出结构图。这些图片以及原始数据本身（散射曲线和扩散路径）将与我们课课组其他子项目中相同数据的互补理论模型相关联，从而将所得材料性质（主要考虑粘弹性和选择性和可切换渗透率）与网络合成参数相关联。