USING PM3 HAMILTONIAN, FACTOR-ANALYSIS AND REGRESSION-ANALYSIS IN DEVELOPING QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIPS FOR PHOTOHYDROLYSIS QUANTUM YIELDS OF SUBSTITUTED AROMATIC HALIDES
Jw. Chen et al., USING PM3 HAMILTONIAN, FACTOR-ANALYSIS AND REGRESSION-ANALYSIS IN DEVELOPING QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIPS FOR PHOTOHYDROLYSIS QUANTUM YIELDS OF SUBSTITUTED AROMATIC HALIDES, Chemosphere, 36(13), 1998, pp. 2833-2853
Based on the descriptors computed by the PM3 hamiltonian and the appli
cation of factor analysis and multiple regression analysis, several Qu
antitative Structure-Property Relationship (QSPR) equations for disapp
earance quantum yields of 45 substituted halogen compounds were obtain
ed. After the exclusion of the outliers, the remaining two QSPR equati
ons can be used to predict disappearance quantum yields for compounds
with similar structure. By stepwise variable selection regression anal
ysis, two significant factors relating to the disappearance quantum yi
elds of the compounds were identified: the energy of the lowest unoccu
pied molecular orbital and the electron-nuclear attraction energy of t
he two-center term for carbon-halogen bonds. By factor analysis, other
factors that may relate to the quantum yields of the compounds were o
btained. The quantum chemical descriptors used in the study can be det
ermined by calculation from any given structural formula. So the metho
d used in this study permits near a priori prediction of environmental
properties for compounds for which the empirical parameters are not r
eadily available. (C) 1998 Elsevier Science Ltd. All rights reserved.