scholarly journals Correction to: Mixture toxicity effects of chloramphenicol, thiamphenicol, florfenicol in Daphnia magna under different temperatures

Ecotoxicology ◽  
2021 ◽  
Vol 30 (1) ◽  
pp. 43-43
Author(s):  
Yuxuan Zhang ◽  
Peiyong Guo ◽  
Meixian Wang ◽  
Yanmei Wu ◽  
Yinshi Sun ◽  
...  
Ecotoxicology ◽  
2020 ◽  
Author(s):  
Yuxuan Zhang ◽  
Peiyong Guo ◽  
Meixian Wang ◽  
Yanmei Wu ◽  
Yinshi Sun ◽  
...  

Chemosphere ◽  
2016 ◽  
Vol 144 ◽  
pp. 599-606 ◽  
Author(s):  
Stephanie Rose ◽  
Rolf Altenburger ◽  
Armin Sturm

2017 ◽  
Vol 152 ◽  
pp. 128-140 ◽  
Author(s):  
Renato Bacchetta ◽  
Nadia Santo ◽  
Marcello Marelli ◽  
Greta Nosengo ◽  
Paolo Tremolada

2021 ◽  
Author(s):  
Bernard CLEMENT ◽  
Vincent FELIX ◽  
Valentin BERTRAND

Abstract For the prediction of metals mixture ecotoxicity, the BLM approach is promising since it evaluates the amount of metals accumulated on the biotic ligand on the basis of water chemistry, i.e. species (major cations) competing with metals, and related toxicity. Based on previous work by Farley et al. 2015 (MMME research project), this study aimed at modelling toxicity of Cd:Cu mixtures (0:1–1:1–1:0–1:2 − 1:3 − 2:1–3:1–4:1–5:1–6:1) to the crustacean Daphnia magna (48h immobilization tests) and the microalga Pseudokirchneriella subcapitata (72h growth inhibition tests). The USGS model was chosen, assuming additivity of effects and accumulation of metals on a single site. The assumption that EDTA could contribute to toxicity through metals complexing was also tested, and potential effects due to reduction of ions Ca2+ absorption by metals were considered. Modelling started with parameter values of Farley et al. 2015 and some of these parameters were adjusted to fit modelled data on observed data. The results show that toxicity can be correctly predicted for the microalgae and that the hypothesis of additivity is verified. For daphnids, the prediction was roughly correct, but taking into account CuEDTA led to more realistic parameter values close to that reported by Farley et al. 2015. However, It seems that, for daphnids responses, metals interact either antagonistically or synergistically depending on the Cu:Cd ratio. Furthermore, synergy could not be explained by additional effects linked to a reduction of Ca absorption since this reduction, mainly due to Cd, increased inversely to synergy. Finally, the USGS model applied to our data was able to predict Cu:Cd mixture toxicity to microalgae and daphnids, giving rise to estimated EC50s roughly reflecting EC50s calculated from observed toxicity.


2016 ◽  
Vol 52 (3) ◽  
pp. 228-234 ◽  
Author(s):  
Beatriz Salesa ◽  
María D. Ferrando ◽  
María J. Villarroel ◽  
Encarna Sancho

2003 ◽  
Vol 37 (17) ◽  
pp. 4091-4098 ◽  
Author(s):  
M.D Hernando ◽  
M Ejerhoon ◽  
A.R Fernández-Alba ◽  
Y Chisti

2014 ◽  
Author(s):  
Enken Hassold ◽  
Thomas Backhaus

A variety of different fungicides is found simultaneously in surface waters, among which demethylase inhibitors (DMIs) are a major group. The joint toxicity of four DMIs from different chemical classes (Fenarimol, Prochloraz, Triadimefon and Pyrifenox) was investigated in the reproduction test with Daphnia magna, following an extended protocol according to ISO 10706. We assessed the toxicity of the DMI mixtures across different endpoints and effect levels and evaluated the predictability of their joint action using Concentration Addition (CA) and Independent Action (IA). The mixture reduced fecundity, delayed molting and caused characteristic malformations in offspring in a concentration-dependend manner which is possibly due to an anti-ecdysteroid action, as previously described for individual DMIs. However, also mixture-specific effects were observed: exposed daphnids reached sexual maturity already after the third juvenile molt, and thus significantly earlier than unexposed daphnids, which needed four juvenile molts to reach maturity. This effect is not caused by any of the DMIs alone. Additionally, the percentage of aborted broods was synergistically higher than expected by either CA or IA. IA underestimates the mixture toxicity for all parameters. The predictive quality of CA differed between life history responses, but was always within a factor of two to the observed toxicity. The parameter “fecundity reduction, counting only normally developed offspring” was the most sensitive endpoint, while the parameter “fecundity reduction, counting all living offspring” was slightly less sensitive. The mixture caused a 90% reduction in fecundity at individual concentrations that only provoke 7% effect or less, which calls for a mixture-specific toxicity assessment of DMI fungicides.


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