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J09

Validation of biodegradability predicting models by using the test data of new chemical substances from chemical substances control law

○Yuki Sakuratani（National Institute of Technology and Evaluation），Kenji Kasai（National Institute of Technology and Evaluation），Jun Yamada（National Institute of Technology and Evaluation），Yoshiyuki Noguchi（National Institute of Technology and Evaluation），Tsutomu Nishihara（Osaka University）

The external validations of four biodegradability predictive models (BIOWIN5, BIOWIN6, CERI model and CATABOL) were conducted using test data of 1121 new chemicals under the Japanese chemical substances control law (CSCL). The rates of the number of chemicals that are correctly classified into ready and not-ready biodegradable are 76 % (BIOWIN5), 77 % (BIOWIN5), 81 % (CERI model) and 81 % (CATABOL), respectivery. Following common tendencies in prediction were found in all models: 1) The predictivities of ready biodegradability (56-75 %) are lower than the predictivities for not-ready biodegradability (82-85 %). 2) The predictivities for aliphatic chain compound are reratively low (66-72%). 3) The predictivities for compound with moiety that react to water such as ester are reratively low (66-72%).