Structure and Swelling of Grafted Polyelectrolytes: Predictions from a Nonlocal Density Functional Theory

聚电解质 刷子 反离子 肿胀 的 化学 化学物理 离子 指数 价(化学) 缩放比例 聚合物 电解质 高分子化学 热力学 材料科学 物理 物理化学 有机化学 数学 复合材料 几何学 哲学 语言学 电极
作者
Tao Jiang,Zhidong Li,Jianzhong Wu
出处
期刊:Macromolecules [American Chemical Society]
卷期号:40 (2): 334-343 被引量:72
标识
DOI:10.1021/ma061939t
摘要

The properties of polyelectrolytes anchored on surfaces depend on a broad range of parameters including the characteristics of the polyions, salt concentration, ion valence, and solvent conditions. While these systems have been subjected to extensive theoretical and experimental investigations in particular in the brush limit, a number of important questions remain to be addressed concerning the electrostatic correlations and excluded-volume effects beyond typical mean-field approximations. In this work, we applied a nonlocal density functional theory (DFT) to tethered polyelectrolytes within a primitive model and examined the effects of salt concentration, polymer grafting density, and chain length on the polyion configurations, the mean electrostatic potential, and the distributions of both counterions and co-ions. Whereas the theoretical framework is directly applicable to arbitrary solution conditions, this work is focused on systems containing only monovalent ions so that the comparison can be made with the established results. Given the polyion chain length and grafting density, we predicted a smooth transition from the osmotic brush to the salted brush in response to the increase of the salt concentration. In the osmotic regime, the brush thickness is invariant with the salt concentration but grows with the grafting density. In the salted regime, the brush thickness follows the classical scaling relation H ∝ Cs-1/3 for long polyelectrolytes but noticeably, the magnitude of the fractional exponent declines as the polyion chain length falls. Linear relations between the polyelectrolyte chain length and the brush thickness were identified for both osmotic and salted brushes. Qualitatively, all these predictions were found in good agreement with experiments or with simulations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Lucas应助从容的从凝采纳,获得10
刚刚
1秒前
1秒前
韩明佐完成签到 ,获得积分10
2秒前
Hello应助可达燊采纳,获得10
3秒前
6秒前
7秒前
FashionBoy应助song采纳,获得10
7秒前
小马甲应助xiong采纳,获得10
8秒前
1235完成签到,获得积分10
11秒前
12秒前
12秒前
13秒前
FBQ发布了新的文献求助10
13秒前
希望天下0贩的0应助吴念采纳,获得10
14秒前
14秒前
飞天小猫完成签到,获得积分10
17秒前
顺心的筮发布了新的文献求助10
17秒前
潘潘发布了新的文献求助20
18秒前
国产好人发布了新的文献求助10
18秒前
bkagyin应助sqq采纳,获得20
19秒前
19秒前
19秒前
19秒前
桐桐应助科研通管家采纳,获得10
20秒前
酷波er应助科研通管家采纳,获得10
20秒前
思源应助科研通管家采纳,获得10
20秒前
wanci应助科研通管家采纳,获得10
20秒前
JamesPei应助科研通管家采纳,获得10
20秒前
砥砺完成签到,获得积分10
20秒前
23秒前
香葡萄关注了科研通微信公众号
23秒前
24秒前
KDVBHGJDFHGAV应助looking采纳,获得10
27秒前
好吧付费发布了新的文献求助10
28秒前
28秒前
sunshine发布了新的文献求助10
29秒前
无花果应助王檬采纳,获得10
33秒前
gf发布了新的文献求助10
33秒前
37秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357350
求助须知:如何正确求助?哪些是违规求助? 8172042
关于积分的说明 17206733
捐赠科研通 5413036
什么是DOI,文献DOI怎么找? 2864862
邀请新用户注册赠送积分活动 1842332
关于科研通互助平台的介绍 1690526