Suppr超能文献

高分子网络的分子特征。

Molecular Characterization of Polymer Networks.

机构信息

Marsico Lung Institute, University of North Carolina, Chapel Hill, North Carolina 27599, United States.

Department of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.

出版信息

Chem Rev. 2021 Apr 28;121(8):5042-5092. doi: 10.1021/acs.chemrev.0c01304. Epub 2021 Apr 1.

Abstract

Polymer networks are complex systems consisting of molecular components. Whereas the properties of the individual components are typically well understood by most chemists, translating that chemical insight into polymer networks themselves is limited by the statistical and poorly defined nature of network structures. As a result, it is challenging, if not currently impossible, to extrapolate from the molecular behavior of components to the full range of performance and properties of the entire polymer network. Polymer networks therefore present an unrealized, important, and interdisciplinary opportunity to exert molecular-level, chemical control on material macroscopic properties. A barrier to sophisticated molecular approaches to polymer networks is that the techniques for characterizing the molecular structure of networks are often unfamiliar to many scientists. Here, we present a critical overview of the current characterization techniques available to understand the relation between the molecular properties and the resulting performance and behavior of polymer networks, in the absence of added fillers. We highlight the methods available to characterize the chemistry and molecular-level properties of individual polymer strands and junctions, the gelation process by which strands form networks, the structure of the resulting network, and the dynamics and mechanics of the final material. The purpose is not to serve as a detailed manual for conducting these measurements but rather to unify the underlying principles, point out remaining challenges, and provide a concise overview by which chemists can plan characterization strategies that suit their research objectives. Because polymer networks cannot often be sufficiently characterized with a single method, strategic combinations of multiple techniques are typically required for their molecular characterization.

摘要

高分子网络是由分子组成的复杂体系。尽管大多数化学家都对单个组分的性质有很好的了解,但将这种化学洞察力转化为高分子网络本身却受到网络结构的统计和定义不明确性质的限制。因此,如果不是不可能的话,从组分的分子行为推断整个高分子网络的性能和性质是具有挑战性的。高分子网络因此提供了一个未实现的、重要的、跨学科的机会,可以在材料宏观性质上施加分子水平的化学控制。高分子网络复杂分子方法的一个障碍是,许多科学家通常不熟悉用于表征网络分子结构的技术。在这里,我们对目前可用于理解高分子网络的分子性质与性能和行为之间关系的特性技术进行了批判性的综述,在没有添加填料的情况下。我们重点介绍了用于表征单个高分子链和连接点的化学和分子水平性质、链形成网络的凝胶化过程、所得网络的结构以及最终材料的动力学和力学的方法。目的不是作为进行这些测量的详细手册,而是统一基本原理,指出仍然存在的挑战,并提供一个简洁的概述,使化学家可以根据自己的研究目标计划适合的表征策略。由于高分子网络通常不能用单一方法进行充分表征,因此通常需要多种技术的策略组合来进行其分子表征。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验