Weckwerth Stefanie Anne, Radke Wolfgang, Flatt Robert J
Institute for Building Materials, ETH, CH-8093 Zürich, Switzerland.
Polymer Standards Service GmbH, DE-55120 Mainz, Germany.
Polymers (Basel). 2021 Jun 9;13(12):1921. doi: 10.3390/polym13121921.
The heterogeneity in chemical structure of polymers is difficult to characterize and consequently remains an often-overlooked factor in mechanistic studies of functional polymers, as well as in their industrial scale optimization. In this study, we present a method to characterize chemical heterogeneity and apply it to illustrate how it can be affected differently in different synthesis routes. The polymers used are comb-copolymer dispersants used in particulate suspensions which are composed of a polycarboxylate backbone onto which PEG side chains are grafted. The largest use of these polymers concerns concrete, where they are referred to as poly(carboxylate ether) (PCE) superplasticizers and produced at a very large industrial scale. Apart from their practical relevance, PCEs provide a good test case for studying the means and benefits of characterizing chemical heterogeneity. Indeed, the simple addition of a UV detector to a traditional SEC setup with RI detection allowed us to monitor variations in the grafting ratio in dependence on the molecular size. We show that the synthesis pathway significantly impacts the chemical heterogeneity. The suggested method is versatile and can be adapted for a wide range of hydrophilic copolymers. Thus, we present a tool to comprehensively analyze the molecular heterogeneity of dispersants and give a deep insight into their chemical dispersity.
聚合物化学结构的异质性很难表征,因此在功能聚合物的机理研究及其工业规模优化中,它仍然是一个经常被忽视的因素。在本研究中,我们提出了一种表征化学异质性的方法,并应用该方法来说明在不同的合成路线中它是如何受到不同影响的。所使用的聚合物是用于颗粒悬浮液的梳状共聚物分散剂,其由聚羧酸盐主链和接枝在其上的PEG侧链组成。这些聚合物的最大用途涉及混凝土,在混凝土中它们被称为聚(羧酸醚)(PCE)高效减水剂,并以非常大的工业规模生产。除了它们的实际相关性外,PCEs为研究表征化学异质性的方法和益处提供了一个很好的测试案例。事实上,在具有RI检测的传统SEC装置中简单添加一个UV检测器,使我们能够监测接枝率随分子大小的变化。我们表明,合成途径对化学异质性有显著影响。所建议的方法具有通用性,可适用于广泛的亲水性共聚物。因此,我们提供了一种工具来全面分析分散剂的分子异质性,并深入了解它们的化学分散性。