Adaptive Polymergele mit kontrollierter Netzwerkstruktur

具有受控网络结构的自适应聚合物凝胶

• 批准号: 423791428
• 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
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/423791428?language=en
• 关键词: Adaptive; Polymergele; mit; kontrollierter; Netzwerkstruktur

Amphiphilic conetworks (ACN) consist of hydrophobic and hydrophilic polymer building blocks that form a common percolated network structure able to swell in both water and organic media. This amphiphilic swellability leads to solvent-sensitive viscoelasticity and permeability for hydrophilic, hydrophobic, and amphiphilic substances. Both can serve as a basis for versatile applications such as soft contact lenses, switchable cell substrates, or antimicrobial coatings. The solvent-sensitive viscoelastic and perm-selective properties, however, are determined by the polymer network nano- and microstructure, which, in turn, is further complexed by the presence of clusters and partially collapsed domains in selective media. Our research initiative aims at delivering quantitative relations between these structures and properties. To reach that goal, we start from model-network structures as obtained by Sakai's and Shibayama's tetra-PEG approach, which we will adopt for ACN. To make this truly meaningful, we will realize two different classes of ACN. One class consists of covalently and permanently connected building blocks; another class consist of ionically and transient-reversibly connected building blocks. Whereas the nano-and microstructures of the first are determined by both the conditions during a current state of swelling in an experiment as well as the conditions during the moment of network formation, the latter are determined only by the conditions at measurement. Comparison of both these complementary classes of ACN allows the impact of network irregularity as formed during the network percolation to be clearly recognized. On this basis, we will determine the impact of the chemical and topological constitution of the network building blocks, their stoichiometric ratio, and further reactions parameters such as concentration, temperature, reactivity, and viscosity on the resulting network structure of covalently interlinked ACN, and how this structure is further complexed by selective swelling and collapse of their oppositely philic parts. In particular, we will determine in what parameter space large, potentially percolated domains will be present and how the aggregation number of the collapsed building blocks in selective media is. On the basis of these structural models, we will focus on the interplay of the network structures and their viscoelastic mechanics and perm-selective permeability both at the gel-specimen surface and in their bulk. All these studies will be conducted both from experimental and theoretical perspectives. It is our overall goal to undergo intense feedback between experiment and theory, with the aim to derive quantitative structure-property relations for ACN as a basis for rational design of soft materials based on them.

两亲性网络（ACN）由疏水性和亲水性聚合物结构单元组成，其形成能够在水和有机介质中溶胀的共同的交联网络结构。 这种两亲性膨胀性导致亲水性、疏水性和两亲性物质具有溶剂敏感的粘弹性和渗透性。两者都可以作为软性隐形眼镜、可切换电池基板或抗菌涂层等多功能应用的基础。 然而，溶剂敏感的粘弹性和选择性渗透性能是由聚合物网络的纳米和微观结构决定的，而聚合物网络的纳米和微观结构又通过选择性介质中的簇和部分塌陷域的存在而进一步复杂化。 我们的研究计划旨在提供这些结构和性能之间的定量关系。为了达到这一目标，我们从模型网络结构开始，通过Sakai和Shibayama的tetra-PEG方法获得，我们将采用该方法用于ACN。为了使其真正有意义，我们将实现两种不同的ACN类。一类由共价和永久连接的结构单元组成;另一类由离子和瞬时可逆连接的结构单元组成。而第一种纳米结构和微观结构由实验中当前溶胀状态期间的条件以及网络形成时刻期间的条件确定，后者仅由测量时的条件确定。 这两个互补类的ACN的比较允许网络的不规则性的影响，形成在网络渗透过程中被清楚地认识到。在此基础上，我们将确定的化学和拓扑结构的网络构建块，其化学计量比，和进一步的反应参数，如浓度，温度，反应性和粘度的影响所产生的网络结构的共价连接的ACN，以及如何这种结构是进一步复杂的选择性溶胀和崩溃的相反的亲部分。特别是，我们将确定在什么样的参数空间大，潜在的折叠域将存在，以及如何在选择性介质中的倒塌的积木的聚合数。这些结构模型的基础上，我们将专注于网络结构的相互作用和它们的粘弹性力学和选择性渗透率在凝胶试样的表面和在其体积。 所有这些研究都将从实验和理论两个角度进行。 我们的总体目标是在实验和理论之间进行强烈的反馈，目的是导出ACN的定量结构-性质关系，作为基于它们的软材料的合理设计的基础。