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Regression Analysis Of Aqueous Solubility Data - Polycyclic Aromatic Hydrocarbons And Steroids

Author(s): D Satyanarayana, R Narayana Charyulu, B. G Nagavi

The aqueous solubility data of polycyclic aromatic hydrocarbons and steroids was regressed to predict the level of solubility. Hildebrand - Scatchard equation format was used in the regression model. The correlations were fairly high (≈86%) for hydrocarbon series and appreciable for steroids (≈ 62%). A comparison of coefficients indicate that the solubility of steroids are twice that of the predictions obtained for polycyclic aromatic hydrocarbons. The functional groups on the skeleton structure might have interacted with water strongly and enhanced its solubility.


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Indian Journal of Pharmaceutical Sciences received 53647 citations as per google scholar report