Chinese Journal of Applied Chemistry ›› 2009, Vol. 26 ›› Issue (11): 1367-1370.

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Prediction of Solubilities of Hydrocortisone in Various Solvents using ANN

ZENG Yu-Xiang1*, WANG Chao2, WANG Bing-Qiang1   

  1. (1.Enviromental Engineering Department,Tianjin Bohai Vocational Technical College,Tianjin 300402;
    2.Tianjin Academy of Environmental Sciences,Tianjin)
  • Received:2008-10-13 Revised:2009-04-15 Published:2009-11-10 Online:2009-11-10
  • Supported by:

    天津市高等学校科技发展基金计划资助项目(20060218)

Abstract:

The structure parameters EHOMO, ELUMO, q+, q-, μ, Etotal of seventeen solvents such as water, alcohols, aldehydes, esters, fluoroalkanes were calculated at B3LYP/6-31G(d) level. Using error back-propagation(BP) algorithm artificial neural network(ANN), with 7 hidden layer units, the relationship between EHOMO, ELUMO, q+, q-, μ, Etotal, VM, ε, T and solubilities of hydrocortisone in various solvents at different temperatures were established. The solubilities of hydrocortisone in various conditions were predicted by the ANN with the average relative error of 7.0%.

CLC Number: