4.7 Article

Mixture toxicity of six pharmaceuticals towards Aliivibrio fischeri, Daphnia magna, and Lemna minor

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 29, Issue 18, Pages 26977-26991

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-17928-y

Keywords

Emerging pollutants; Joint effects; Ecotoxicity; Aquatic environment; Toxicity test; Concentration addition; Independent action

Funding

  1. Polish National Science Center [2015/17/B/NZ8/02481]

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The study evaluated the toxicity of mixtures of pharmaceuticals towards three selected organisms and found that the concentration addition model generally provided lower predictions compared to the independent action model. It was concluded that the concentration addition model should be recommended for modeling mixture toxicity of pharmaceuticals with different modes of action.
As the knowledge on the joint effects of pharmaceuticals towards different non-target organisms is still limited, the aim of our study was to evaluate the toxicity of mixtures of pharmaceuticals, as well as their baseline toxicity towards three selected organisms, namely the bioluminescent bacteria Aliivibrio fischeri, the crustacean Daphnia magna, and the duckweed Lemna minor. Different mixtures composed of three up to five pharmaceuticals having the same or different mechanisms of action in terms of their therapeutic activity (non-steroidal anti-inflammatory drugs, opioid analgesic, antibacterial and anti-epileptic drugs) were investigated. The observed EC(50)s were compared with those predicted using the concentration addition (CA) and independent action (IA) models. In general, the EC50 values for mixtures predicted with the CA model were lower than those obtained with the IA model, although, in some cases, test predictions of these two models were almost identical. Most of the experimentally determined EC50 values for the specific mixtures were slightly higher than those predicted with the CA model; hence, a less than additive effect was noted. Based on the obtained results, it might be concluded that the CA model assumes the worst-case scenario and gives overall closer predictions; therefore, it should be recommended also for modeling the mixture toxicity of pharmaceuticals with different modes of action.

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