Choi Jihoon, Hore Michael J A, Meth Jeffrey S, Clarke Nigel, Winey Karen I, Composto Russell J
Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, United States.
DuPont Nanocomposite Technologies, Central Research and Development, E.I. DuPont de Nemours and Co., Inc., P.O. Box 400, Wilmington, Delaware, United States.
ACS Macro Lett. 2013 Jun 18;2(6):485-490. doi: 10.1021/mz400064w. Epub 2013 May 20.
Nanoparticles are new and valuable additives that can favorably tune thermomechanical, electric, optical, and magnetic properties of polymeric materials. The addition of nanoparticles can also enhance or slow down polymer dynamics depending on the mixture thermodynamics and key length scales, namely, nanoparticle size, interparticle spacing (ID), and the polymer radius of gyration (). Presently, a framework for understanding how nanoparticles affect polymer dynamics is not available, in part, because of a lack of wide-ranging experimental studies. Here, tracer diffusion is studied in model nanocomposites containing silica nanoparticles grafted with either polymer brushes (soft nanoparticles) or short ligands (hard nanoparticles). Over a wide range of tracer molecular weights and nanoparticle loadings, the normalized diffusion coefficient collapses onto a universal curve for both soft and hard nanoparticles when plotted against a confinement parameter, defined as ID/, which accounts for tracer penetration into the brush. These experimental results provide new insights into the fundamental principles required to construct predictive models of polymer dynamics in nanocomposites.
纳米粒子是新型且有价值的添加剂,能够优化聚合物材料的热机械、电学、光学和磁学性能。根据混合热力学以及关键长度尺度,即纳米粒子尺寸、粒子间距(ID)和聚合物的回转半径( ),纳米粒子的添加还能增强或减缓聚合物动力学。目前,尚不存在一个理解纳米粒子如何影响聚合物动力学的框架,部分原因是缺乏广泛的实验研究。在此,对含有接枝聚合物刷(软纳米粒子)或短配体(硬纳米粒子)的二氧化硅纳米粒子的模型纳米复合材料中的示踪扩散进行了研究。在很宽的示踪剂分子量和纳米粒子负载范围内,当相对于一个限制参数(定义为ID/ ,它说明了示踪剂向刷中的渗透)作图时,归一化扩散系数对于软纳米粒子和硬纳米粒子都汇聚到一条通用曲线上。这些实验结果为构建纳米复合材料中聚合物动力学预测模型所需的基本原理提供了新的见解。