Drying path dependence in microrheological characteristics of cellulose nanofiber dispersion revealed by single particle tracking

Author:

Koitabashi Takuma,Hanasaki ItsuoORCID

Abstract

Abstract Rheological characterization of cellulose nanofiber (CNF) dispersion is important for the process design of nanopaper fabrication. However, the existing macroscopic approach is difficult to reveal microscopic signal, or nonequilibrium nature of drying, distinct from the concentration dependence in equilibrium. We report the microscopic characterization in the drying process of CNF dispersion by the microscopy movie analysis, based on the single particle tracking (SPT) of probe particles. Since SPT does not require invasive shear flow to the system of interest, the rheological characterization in the drying process can be realised. We focused on the role of initial CNF concentration to examine the nonequilibrium effect of drying. The path of drying for a higher initial CNF concentration is not simply a time compression of the path of the lower initial concentration. It is revealed by the time-evolution curves of the generalised diffusion coefficient and the scaling exponent for probe particles. One of the origins of this path-wise dependence on the initial CNF concentration is the macroscopic spatial nonuniformity of the drying process. Thus, the effect of macroscopic condition is microscopically determined.

Funder

Japan Society for the Promotion of Science

Publisher

IOP Publishing

Subject

Surfaces, Coatings and Films,Acoustics and Ultrasonics,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3