Impact of Humidity on Water Dynamics and Electrical Conductivity in PEDOT:PSS/Cellulose Nanofibril Nanocomposite Films: Insights from Quasi-Elastic Neutron Scattering

IF 5.2 1区 化学 Q1 POLYMER SCIENCE Macromolecules Pub Date : 2025-02-17 DOI:10.1021/acs.macromol.4c02412
Lucas P. Kreuzer, Marie Betker, Marcell Wolf, Bart-Jan Niebuur, Jacques Ollivier, L. Daniel Söderberg, Stephan V. Roth
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Abstract

The water dynamics in a nanocomposite film that consists of the electrically conductive poly(3,4-ethylene dioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) and cellulose nanofibrils (CNFs) have been investigated during three cycles of exposure to low and high relative humidity (RH = 5% and 85%, respectively) using quasi-elastic neutron scattering (QENS). The obtained dynamical structure factors are transformed into the imaginary part of the dynamic susceptibility to better differentiate between the individual relaxation processes. In a humid environment, two different water species are present inside the films: fast-moving bulk water and slow-moving hydration water. During the first cycle, a large amount of hydration water enhances the polymer chain mobility, eventually leading to irreversible structural rearrangements within the film. In the subsequent cycles, we observed a release of all bulk water and portions of hydration water upon drying, along with an uptake of both water species in a humid environment. The relaxation times of hydration water diffusion as a function of momentum transfer can be described by a jump-diffusion model. The obtained jump lengths, residence times, and diffusion coefficients of hydration water suggest a change in the hydration layer upon drying: water molecules around hydrophobic groups are released from the film, while the hydrogen bonds between water and hydrophilic groups are sufficiently strong to keep these molecules inside the films, even in a dry state. The QENS results can be correlated to the structural and conductive properties. In the dry state, the low hydration water content and the absence of bulk water allow for improved wetting of the CNFs by PEDOT:PSS, which eventually increases the electrical conductivity of the films.

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湿度对PEDOT:PSS/纤维素纳米复合膜水动力学和电导率的影响:来自准弹性中子散射的见解
利用准弹性中子散射(QENS)研究了导电聚(3,4-乙烯二氧噻吩)、聚(苯乙烯磺酸盐)(PEDOT:PSS)和纤维素纳米纤维(CNFs)组成的纳米复合膜在低相对湿度和高相对湿度(分别为5%和85%)下的水动力学。将得到的动力结构因子转化为动力磁化率的虚部,以便更好地区分各个松弛过程。在潮湿的环境中,膜内存在两种不同的水:快速移动的散装水和缓慢移动的水合作用水。在第一个循环中,大量的水化水增强了聚合物链的迁移率,最终导致膜内不可逆的结构重排。在随后的循环中,我们观察到干燥时所有散装水和部分水化水的释放,以及在潮湿环境中两种水的吸收。水化水扩散弛豫时间作为动量传递的函数可以用跳跃扩散模型来描述。得到的水化水的跳跃长度、停留时间和扩散系数表明,水化层在干燥时发生了变化:疏水基团周围的水分子从膜中释放出来,而水和亲水基团之间的氢键足够强,即使在干燥状态下,也能将这些分子保持在膜内。QENS结果可以与结构和导电性能相关联。在干燥状态下,低水化含水量和缺乏散装水允许PEDOT:PSS改善CNFs的润湿,最终提高薄膜的导电性。
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来源期刊
Macromolecules
Macromolecules 工程技术-高分子科学
CiteScore
9.30
自引率
16.40%
发文量
942
审稿时长
2 months
期刊介绍: Macromolecules publishes original, fundamental, and impactful research on all aspects of polymer science. Topics of interest include synthesis (e.g., controlled polymerizations, polymerization catalysis, post polymerization modification, new monomer structures and polymer architectures, and polymerization mechanisms/kinetics analysis); phase behavior, thermodynamics, dynamic, and ordering/disordering phenomena (e.g., self-assembly, gelation, crystallization, solution/melt/solid-state characteristics); structure and properties (e.g., mechanical and rheological properties, surface/interfacial characteristics, electronic and transport properties); new state of the art characterization (e.g., spectroscopy, scattering, microscopy, rheology), simulation (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling), and theoretical methods. Renewable/sustainable polymers, polymer networks, responsive polymers, electro-, magneto- and opto-active macromolecules, inorganic polymers, charge-transporting polymers (ion-containing, semiconducting, and conducting), nanostructured polymers, and polymer composites are also of interest. Typical papers published in Macromolecules showcase important and innovative concepts, experimental methods/observations, and theoretical/computational approaches that demonstrate a fundamental advance in the understanding of polymers.
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