个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:浙江大学
学位:博士
所在单位:环境学院
学科:环境工程. 环境科学
办公地点:环境学院环境楼B411室
联系方式:电话:0411-84707193 (Office) Email:xiyuncai@dlut.edu.cn QQ:1851430298或xycai1978@163.com
电子邮箱:xiyuncai@dlut.edu.cn
Integrated fuzzy concentration addition-independent action (IFCA-IA) model outperforms two-stage prediction (TSP) for predicting mixture toxicity
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论文类型:期刊论文
发表时间:2009-02-01
发表刊物:CHEMOSPHERE
收录刊物:SCIE、EI、PubMed
卷号:74
期号:5
页面范围:735-740
ISSN号:0045-6535
关键字:Integrated fuzzy concentration addition-independent action; Two-stage prediction; Mode of toxic action; Vibrio fischeri; Industrial organic chemicals
摘要:Mixture toxicities were determined for 12 industrial organic chemicals bearing four different modes of toxic action (MOAs) to Vibriofischeri, to compare the predictability of the integrated fuzzy concentration addition-independent action (IFCA-IA) model and the two-stage prediction (TSP) model. Three mixtures were designed: The first and second mixtures were based on the ratios of each component at the 1% and 50% effect concentrations (EC(1) and EC(50)), respectively; and the third mixture contained an equimolar ratio of individual components. For the EC(1), EC(50) and equimolar ratio, prediction errors from the IFCA-IA model at the 50% experimental mixture effects were 0.3%, 6% and 0.6%, respectively: while for the TSP model, the corresponding errors were 2.8%,19% and 24%, respectively. Thus, the IFCA-IA model performed better than the TSP model. The IFCA-IA model calculated two weight coefficients from the molecular structural descriptors, which weigh the relation between concentration addition (CA) and independent action (IA) through the fuzzy membership functions. Thus, MOAs are not pre-requisites for mixture toxicity prediction by the IFCA-IA approach, implying the practicability of this method in toxicity assessment of mixtures. (c) 2008 Elsevier Ltd. All rights reserved.
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