文献类型：期刊文献

中文题名：Molecular Thermodynamic Model for Polyelectrolyte Solutions with Added Salts

英文题名：Molecular thermodynamic model for polyelectrolyte solutions with added salts

作者：Zhang, Bo[1]; Cai, Jun[1]; Liu, Honglai[1]; Hu, Ying[1]

机构：[1]E China Univ Sci & Technol, Dept Chem, Shanghai 200237, Peoples R China

年份：2002

卷号：10

期号：3

起止页码：311

中文期刊名：Chinese Journal of Chemical Engineering

外文期刊名：CHINESE JOURNAL OF CHEMICAL ENGINEERING

收录：CSTPCD;;EI(收录号：2002437156741);Scopus;WOS:【SCI-EXPANDED(收录号:WOS:000176817800010)】；CSCD:【CSCD2011_2012】；

基金：Supported by the National Natural Science Foundation of China (No. 29736170, 29876006).

语种：英文

中文关键词：polyelectrolyte solution; molecular thermodynamic model; activitycoefficient; osmotic coefficient

外文关键词：polyelectrolyte solution; molecular thermodynamic model; activity coefficient; osmotic coefficient

摘要：A molecular thermodynamic model of polyelectrolyte developed previously was extended to polyelectrolyte solutions with added salts.Thermodynamic properties,such as activity coefficients of polyelectrolytes or added salts and osmotic coefficients of solvent, of a number of aqueous mixtures of polyelectrolytes and salts are analyzed with the proposed model.Successful correlation is obtained in the range of moderate or higher polyion concentration.For the same sample,thermodynamic properties of polyelectrolytes with and without simple electrolytes can be predicted mutually using parameters from regression data.
A molecular thermodynamic model of polyelectrolyte developed previously was extended to polyelectrolyte solutions with added salts. Thermodynamic properties, such as activity coefficients of polyelectrolytes or added salts and osmotic coefficients of solvent, of a number of aqueous mixtures of polyelectrolytes and salts are analyzed with the proposed model, Successful correlation is obtained in the range of moderate or higher polyion concentration. For the same sample, thermodynamic properties of polyelectrolytes with and without simple electrolytes can be predicted mutually using parameters from regression data.