Results of modeling of pharmaceuticals mixtures toxicity with deviation ratio and best-fit functions models using Aliivibrio fischeri bacterium as model organism - Open Research Data - Bridge of Knowledge

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Results of modeling of pharmaceuticals mixtures toxicity with deviation ratio and best-fit functions models using Aliivibrio fischeri bacterium as model organism

Description

The research was concerned with verifying the impact of mixtures of nine pharmaceuticals against a selected organism, i.e., the bacterium Aliivibrio fischeri. A. fisheri is used as a model organism in the monitoring of acute toxicity in environmental and reference samples in Microtox® systems.  Tested pharmaceuticals, namely: diclofenac (sodium salt), oxytetracycline, hydrochloride, fluoxetine hydrochloride, chloramphenicol, ketoprofen, progesterone, estrone, androstenedione and gemfibrozil, are widely used in various therapeutic treatments. 

The major idea of the modeling of the results (effects) from the simultaneous action of two drugs in Microtox® test for ecotoxicity is as follows:

– to find a best-fit-function describing adequately the experimental points (in concentration relations 100/0; 100/33.3 and 100/66.7) for each couple of drugs (A and B) checking both the impact of B on A and, vice versa, A on B;

– to determine the specific parameters of the best-fit function;

– to compare the models from the best-fit function assuming that independent action (IA) for both members of the drug mixture is better if themodel was one and the same and if the specific coefficients of the model are statistically equal for A/B and B/A impact;

Studies were conducted between 2015.

These results are part of the manuscript published in Science of the Total Environment (https://doi.org/10.1016/j.scitotenv.2016.07.186)

Dataset file

Microtox results mixtures.zip
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CC BY
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Details

Year of publication:
2024
Verification date:
2024-02-28
Creation date:
2015
Dataset language:
English
Fields of science:
  • chemical sciences (Natural sciences)
  • Earth and related environmental sciences (Natural sciences)
DOI:
DOI ID 10.34808/55jg-z389 open in new tab
Funding:
Verified by:
Gdańsk University of Technology

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