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个人信息Personal Information
副教授
博士生导师
硕士生导师
任职 : 环境生态与工程研究生导师纵向党支部书记
性别:男
毕业院校:中科院南京土壤所
学位:博士
所在单位:环境学院
学科:环境科学
办公地点:环境楼B409
联系方式:办公电话:84707189 手机:13610848936
电子邮箱:xlqiao@dlut.edu.cn
Progress and perspectives of quantitative structure-activity relationships used for ecological risk assessment of toxic organic compounds
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论文类型:期刊论文
发表时间:2008-07-01
发表刊物:SCIENCE IN CHINA SERIES B-CHEMISTRY
收录刊物:SCIE、EI
卷号:51
期号:7
页面范围:593-606
ISSN号:1006-9291
关键字:(Q)SARs; ecological risk assessment; application domain; stability; predictive power
摘要:Structure-activity relationship (SAR) and quantitative structure-activity relationship (QSAR), collectively referred to as (Q)SARs, play an important role in ecological risk assessment (ERA) of organic chemicals. (Q)SARs can fill the data gap for physical-chemical, environmental behavioral and ecotoxicological parameters of organic compounds; they can decrease experimental expenses and reduce the extent of experimental testing (especially animal testing); they can also be used to assess the uncertainty of the experimental data. With the development for several decades, (Q)SARs in environmental sciences show three features: application orientation, multidisciplinary integration, and intelligence. Progress of (Q)SAR technology for ERA of toxic organic compounds, including endpoint selection and mathematic methods for establishing simple, transparent, easily interpretable and portable (Q)SAR models, is reviewed. The recent development on defining application domains and diagnosing outliers is summarized. Model characterization with respect to goodness-of-fit, stability and predictive power is specially presented. The purpose of the review is to promote the development of (Q)SARs orientated to ERA of organic chemicals.