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Integrated fuzzy concentration addition-independent action (IFCA-IA) model outperforms two-stage prediction (TSP) for predicting mixture toxicity

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Indexed by:期刊论文

Date of Publication:2009-02-01

Journal:CHEMOSPHERE

Included Journals:SCIE、EI、PubMed

Volume:74

Issue:5

Page Number:735-740

ISSN No.:0045-6535

Key Words:Integrated fuzzy concentration addition-independent action; Two-stage prediction; Mode of toxic action; Vibrio fischeri; Industrial organic chemicals

Abstract: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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