| dc.creator | BOIANI, N.F. | |
| dc.creator | TOMINAGA, F.K. | |
| dc.creator | SILVA, T.T. | |
| dc.creator | RED??GOLO, M.M. | |
| dc.creator | BORRELY, S.I. | |
| dc.creator | CONGRESO ARGENTINO DE LA SOCIEDAD DE TOXICOLOG??A Y QU??MICA AMBIENTAL, 8th | |
| dc.date | 2023-03-20T13:44:20Z | |
| dc.date | 2023-03-20T13:44:20Z | |
| dc.date | March 7-11, 2022 | |
| dc.date.accessioned | 2023-09-28T14:25:27Z | |
| dc.date.available | 2023-09-28T14:25:27Z | |
| dc.identifier | http://repositorio.ipen.br/handle/123456789/33894 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9004113 | |
| dc.description | Pharmaceutical products have been frequently detected in aquatic environments as
mixtures. They may cause direct toxic effects to aquatic organisms and indirect effects on
ecosystems, due to interactions which induce additive, synergistic or antagonistic effects.
The classical mathematical models of concentration addition and independent action of
pollutants have been extensively used for predicting the mixture effects of chemicals of
environmental relevance. The objective of this study was to assess the binary mixture
toxicity of pharmaceuticals: fluoxetine and propranolol; fluoxetine and sulfadiazine;
fluoxetine and caffeine, in acute tests with Daphnia similis carried out based on
ABNT/NBR standard methods. The prediction of the acute effects to binary mixture was
performed considering the mentioned mathematical models and deviations of them
(synergism/antagonism; concentration level-dependent or concentration ratio-dependent),
using an automated Excel spreadsheet. For the mixture of propranolol + fluoxetine, the
concentration addition model best described the mixture effects, which explained most of
the variability of acute toxic responses. Through the concentration level-dependent,
synergism at low doses and antagonism at high doses was pointed out. The concentration
addition model better described the effects of the binary mixture of sulfadiazine +
fluoxetine. Synergism related to the independent action model and an antagonism related
to the concentration ratio-depend were identified. For caffeine + fluoxetine mixture, the
concentration addition model described slightly better the effects of this binary mixture,
synergism concentration level-dependent and dose ratio-dependent were identified. We
can conclude that the nature of the interaction between the compounds of a mixture
depends on effect level and on the ratio in which each one is applied. Major effects of the
binary mixture were detected in the zone between the effects predicted by the evaluated
models. The synergism/antagonism or additivity do not depend on the
similarity/dissimilarity of the mode of action of the compounds of a mixture, showing a
different behaviour respect to the theoretical assumptions. | |
| dc.format | 143-143 | |
| dc.publisher | Universidad Nacional de Mar del Plata | |
| dc.rights | openAccess | |
| dc.title | Assessment of binary mixture toxicity of pharmaceuticals of environmental concern to aquatic organisms | |
| dc.type | Resumo de eventos cient??ficos | |
| dc.coverage | I | |
| dc.local | Mar del Plata, Argentina | |
