A microbial biodegradability predictive model has been developed using
groups and molecular indices as molecular descriptors. The model cont
ains 12 variables. The model was calibrated and later validated with a
data set developed from biodegradation studies of acclimated activate
d sludge metabolism. It also successfully predicted the biodegradation
rate of several other substances with one exception within the limits
established by a study of a second database. This fatter study was de
signed to evaluate the expected scatter in acclimated biodegradation r
ate data. The nitro group, amines, halogens and heteroatoms severely d
ecrease the rate as do structural complexity and electronic alteration
s created by most substituents. The carboxyl group markedly enhances t
he rate but the hydroxyl group has little effect. It appears that the
hydroxyl group is significant in acclimation but not in degradation. A
discussion of statistical methods and software is included in this wo
rk. Copyright (C) 1996 Elsevier Science Ltd