title: Prediction of ultraviolet spectral absorbance using quantitative structure-property relationships
abstract: High performance liquid chromatography (HPLC) with ultraviolet (UV) spectrophotometric detection is a common method for analyzing reaction products in organic chemistry. This procedure would benefit from a computational model for predicting the relative response of organic molecules. Models are now reported for the prediction of the integrated UV absorbance for a diverse set of organic compounds using a quantitative structure-property relationship (QSPR) approach. A seven-descriptor linear correlation with a squared correlation coefficient (R/sup 2/) of 0.815 is reported for a data set of 521.compounds. Using the sum of ZINDO oscillator strengths in the integration range as an additional descriptor allowed reduction in the number of descriptors producing a robust model for 460 compounds with five descriptors and a squared correlation coefficient 0.857. The descriptors used in the models are discussed with respect to the physical nature of the UV absorption process
keyphrases: quantitative structure-property relationship high performance liquid chromatography reaction products organic chemistry computational model relative response seven-descriptor linear correlation squared correlation coefficient ZINDO oscillator strengths ultraviolet spectral absorbance prediction ultraviolet spectrophotometric detection combinatorial chemistry generic quantitation configuration interaction calculation CODESSA program MOS-F package