期刊
CHEMOSPHERE
卷 289, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2021.133190
关键词
Vibrio qinghaiensis sp; -Q67; Direct equipartition ray design (EquRay); Global concentration additivity (GCA); Global response additivity (GRA); Luminescence inhibition
资金
- National Natural Science Foundation of China [21976139]
- National Key Research and Development Program of China [2018YFC1603003]
This study focuses on predicting mixture toxicity based on single substances or low component mixtures using concentration addition (CA) and independent action (IA) models. Two top-to-down methods, inverse CA (ICA) and inverse IA (IIA) models, were proposed to eliminate the effects of specific components from mixtures. The results showed that cosolvent IPA with hormesis may cause unpredictable effects, while DMSO effectively eliminates the effects of toxic components from mixtures. These methods provide a new framework for mixture toxicity evaluation and risk assessment.
At present, the toxicity prediction of mixtures mainly focuses on the concentration addition (CA) and independent action (IA) based on individual toxicants to predict the toxicity of multicomponent mixtures. This process of predicting the toxicity of multicomponent mixtures based on single substances or low component mixtures is called down-to-top method in this study. However, due to the particularity of some toxicants, we have to use the top-to-down idea to obtain or eliminate the toxicity of some components from mixtures. For example, the toxicity of toxicants is obtained from the toxicity of a mixture with, especially toxic, cosolvent added. In the study, two top-to-down methods, the inverse CA (ICA) and inverse IA (IIA) models, were proposed to eliminate the effects of a certain component from multicomponent mixtures. Furthermore, taking the eight binary mixtures consisting of different shapes of cosolvents (isopropyl alcohol (IPA) having hormesis and dimethyl sulfoxide (DMSO)) and toxicants (two ionic liquids and two pesticides) as an example, combined with the interaction evaluated by CA and IA model, the influence of different shapes of components on top-to-down toxicity prediction was explored. The results showed that cosolvent IPA having hormesis may cause unpredictable effects, even at low concentrations, and should be used with caution. For DMSO, most of the toxicant's toxicity obtained by ICA and IIA models were almost in accordance with those observed experimentally, which showed that ICA and IIA could effectively eliminate the effects of cosolvent, even if toxic cosolvent, from the mixture. Ultimately, a frame of cosolvent use and toxicity correction for the hydrophobic toxicant were suggested based on the top-to down toxicity prediction method. The proposed methods improve the existing framework of mixture toxicity prediction and provide a new idea for mixture toxicity evaluation and risk assessment.
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