Genotoxicity analysis and hazardousness prioritization of a group of chemicals

作者: E. Degirmenci , Y. Ono , O. Kawara , H. Utsumi

DOI: 10.2166/WST.2000.0560

关键词: PrioritizationChemistryChemical compoundWaste managementBioconcentrationEnvironmental chemistrySafety testingInvestigation methodsGenotoxicitySorption coefficient

摘要: Genotoxic chemicals are increasingly being used in our daily life. 180-chemicals were screened to identify the priority of hazardousness from point view their genotoxicity. Umu -test was evaluate genotoxicity these chemicals. Some exhibited high genotoxic response. A scoring algorithm developed level based on and four other characteristics: biodegradation probability, soil adsorption coefficient, (KOC), bioconcentration factor (BCF), Henry9s Law constant (HLC). Then, sorted a descending order probability.

参考文章(6)
Jeffrey H Miller, Experiments in molecular genetics ,(1972)
Yoshimitsu Oda, Sei-ichi Nakamura, Iwashiro Oki, Takesi Kato, Hideo Shinagawa, Evaluation of the new system (umu-test) for the detection of environmental mutagens and carcinogens Mutation Research\/environmental Mutagenesis and Related Subjects. ,vol. 147, pp. 219- 229 ,(1985) , 10.1016/0165-1161(85)90062-7
Georg Reifferscheid, Jürgen Heil, Validation of the SOS / umu test using test results of 486 chemicals and comparison with the Ames test and carcinogenicity data Mutation Research\/genetic Toxicology. ,vol. 369, pp. 129- 145 ,(1996) , 10.1016/S0165-1218(96)90021-X
William Meylan, Philip H. Howard, Robert S. Boethling, Molecular topology/fragment contribution method for predicting soil sorption coefficients Environmental Science & Technology. ,vol. 26, pp. 1560- 1567 ,(1992) , 10.1021/ES00032A011
William M. Meylan, Philip H. Howard, Bond contribution method for estimating henry's law constants Environmental Toxicology and Chemistry. ,vol. 10, pp. 1283- 1293 ,(1991) , 10.1002/ETC.5620101007
Philip H. Howard, William M. Stiteler, William M. Meylan, Amy E. Hueber, Julie A. Beauman, Michael E. Larosche, Robert S. Boethling, Predictive model for aerobic biodegradability developed from a file of evaluated biodegradation data Environmental Toxicology and Chemistry. ,vol. 11, pp. 593- 603 ,(1992) , 10.1002/ETC.5620110502