Study on convolution transform and visualization of ultraviolet spectroscopic information of steroid hormones

Key words: 
• convolution transform /
• information visualization /
• ultra spectrum /
• steroid hormones

Abstract: Objective:To establish a new analytical method for the identification of steroid hormones. Methods: Convolution trans- form combined with information visualization techniques were employed in the data mining of ultraviolet spectrum,resulting in the fin- gerprint spectrum of certain compounds.The similarity coefficient of fingerprint spectrum based on cosine algorithm was further used in the identification of 23 steroid hormones,ie.prednisolone,betamethasone,pregnendione,etc.,after the method was validated.Re- suits :The method showed acceptable precision and ruggedness.There were large differences between the similarity coefficients of differ- ent types of steroid hormones.The unsaturated bond contributed greatly to the differences between the similarity coefficients of same types of steroid hormones,while the side chain or its esterification had relatively small effect on the similarity coefficients. Conclusion: Convolution transform combined with information visualization techniques broadens the application of ultraviolet spectrum in the pharma- ceutical identification.