Chemical Management

Evaluation of Biodegradation and Bioconcentraion

By analyzing the biodegradation and bioconcentration data under Chemical Substances Control Law (CSCL), the National Institute of Technology and Evaluation (NITE) considers the applicability of Quantitative Structure-Activity Relationship (QSAR) and category approaches for CSCL and the expanding role of these methods in regulatory settings.

Providing reference materials for the assessment of new chemical substances

NITE uses QSAR models validated by the NITE QSAR committees and category approach methods to provide reference materials to the Chemical Substances Council that assesses new chemical substances.

Assessment of the adequacy of the new chemical substances data from analogue

NITE assesses the adequacy of the data from the analogue submitted by manufacturers for new chemical substances notification based on predictions from QSAR models or the category approach and submits the result to the Chemical Substances Council.

Cooperation for rationalization of the review of new chemical substances

NITE cooperates for rationalization of the review of new chemical substances with the Ministry of Economy, Trade and Industry (METI) as experts. This collaboration enabled the clarification of the analogue rule regarding new chemical substances notification.

Prediction of bioconcentration by category approach

Prediction of bioconcentration by category approach

The biodegradation and bioconcentration data under CSCL

Biodegradation and bioconcentration data conducted for the evaluations of new chemicals and existing chemicals under CSCL are available in OECD QSAR Toolbox version 3.0 data format (excel file).

Existing chemical substances

Newly announced chemical substances

Reference

Update

As of March 29, 2023.

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Contact us

 Safety Assessment Division,  Chemical Management Center,  National Institute of Technology and Evaluation
Phone number:+81-3-3481-1812
Fax number:+81-3-3481-1950
Address:2-49-10 Nishihara, Shibuya-ku, Tokyo 1510066, Japan MAP