Home > Papers

 
 
Correlation of solubility and Prediction of the Mixing Properties of Ginsenoside Compound K in various solvents
LI Runyan 1,YAN Hao 2,WANG Zhao 2 #,GONG Junbo 2 *
1.School of Chemical Engineering and Technology, Tianjin University, TianJin 300072
2.School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, People’s Republic of China
*Correspondence author
#Submitted by
Subject:
Funding: Specialized Research Fund for the Doctoral Program of Higher Education(No.No.20110032120009)
Opened online:31 July 2012
Accepted by: none
Citation: LI Runyan,YAN Hao,WANG Zhao.Correlation of solubility and Prediction of the Mixing Properties of Ginsenoside Compound K in various solvents[OL]. [31 July 2012] http://en.paper.edu.cn/en_releasepaper/content/4485546
 
 
The solubilities of ginsenoside compound K in pure solvents and binary mixture solvents were determined at several temperatures from 278.15 K to 318.15 K by a static analytical method. The experimental solubility data in pure solvents were correlated by the van't Hoff plot, modified Apelblat equation, λh (Buchowski) equation, Wilson model and NRTL model, with the Wilson model giving the best correlation results. Based on the Wilson model and experimental data, the mixing Gibbs free energies, enthalpies and entropies of solutions and activity coefficients in pure solvents were predicted, and other thermodynamic properties (infinite-dilution activity coefficients and excess enthalpies) were calculated as well. In addition, the solubility was maximal at a certain water mole fraction in acetone + water mixture and acetonitrile + water mixture, whereas in methanol + water system, the solubility decreases with the water concentration increases monotonically. The solubilities in mixture solvents were correlated by the components of solvent using Wilson model. The partial molar Gibbs free energies with negative values were obtained, which indicates the changing of the solubility.
Keywords:industry crystallization; ginsenoside; solubilities; Wilson model and NRTL model
 
 
 

For this paper

  • PDF (0B)
  • ● Revision 0   
  • ● Print this paper
  • ● Recommend this paper to a friend
  • ● Add to my favorite list

    Saved Papers

    Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags

Add yours

Related Papers

Statistics

PDF Downloaded 564
Bookmarked 0
Recommend 5
Comments Array
Submit your papers