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A bioavailability model predicting the toxicity of nickel to rainbow trout (Oncorhynchus mykiss) and fathead minnow (Pimephales promelas) in synthetic and natural waters

机译:预测镍对合成水和天然水中的虹鳟(Oncorhynchus mykiss)和黑头min鱼(Pimephales promelas)毒性的生物利用度模型

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摘要

The effects of Ca, Mg and pH on the toxicity of Ni to juvenile rainbow trout (Oncorhynchus mykiss) were examined during 17-26-day exposures to Ni in 15 synthetic test solutions. Higher chemical activities of Ca~(2+), Mg~(2+) and H~+ reduced Ni toxicity, as demonstrated by increased 17-day median lethal concentrations expressed as Ni~(2+) activity (17-d LC50_(Ni2+)). A non-linear increase of the 17-d LC50_(Ni2+) with increasing H~+ suggested that the effect of pH could not be appropriately described by single-site competition between Ni~(2+) and H~+ for sensitive sites on the fish gill. Instead, a linear increase of pNi~(2+) (= -log 17-d LC50_(Ni2+) ) with increasing pH was observed with a slope of 0.32. This slope was used as the basis for modelling the effect of pH. The effects of Ca and Mg were modelled according to single-site competition with log K_(CaBL) = log K_(MgBL) = 3.6, both assumed to be independent of pH. The effect of pH was superimposed on this competition effect and was also assumed to be independent of Ca and Mg concentrations. The model was able to predict 17-d LC50s (expressed as dissolved Ni) in most synthetic test waters within a factor 2 deviation from observed toxicity. The model's predictive capacity was also evaluated using results of similar laboratory toxicity tests with juvenile rainbow trout in Ni-spiked European natural surface waters. For most of these waters, predicted 17-d LC50s did not deviate more than a factor 2 from observed toxicity. The same model, calibrated to account for sensitivity differences between species, life stages and/or exposure durations, was able to accurately predict 96-h LC50s for larval and juvenile fathead minnow (Pimephales promelas) and juvenile rainbow trout, based on data taken from literature. Although the developed model seems very promising, the uncertainty around the role of alkalinity and the exact mechanisms by which Ca, Mg and pH modify Ni toxicity need to be further explored.
机译:在15种合成测试溶液中暴露于Ni的17-26天期间,检查了Ca,Mg和pH对Ni对幼体虹鳟(Oncorhynchus mykiss)毒性的影响。 Ca〜(2 +),Mg〜(2+)和H〜+的较高化学活性降低了Ni的毒性,这可以通过以Ni〜(2+)活性表示的17天平均致死浓度的增加来证明(17-d LC50_( Ni2 +))。随着H〜+的增加,17-d LC50_(Ni2 +)呈非线性增加,表明pH的影响不能通过Ni〜(2+)和H〜+之间单点竞争对H2 +敏感位点进行适当描述。鱼g。相反,观察到pNi〜(2+)(= -log 17-d LC50_(Ni2 +))随pH值线性增加,斜率为0.32。该斜率用作建模pH效应的基础。根据单点竞争对Ca和Mg的影响进行建模,其中log K_(CaBL)= log K_(MgBL)= 3.6,两者均假定与pH无关。 pH的影响叠加在这种竞争效果上,并且还被认为与Ca和Mg的浓度无关。该模型能够预测大多数合成测试水中的17-d LC50(表示为溶解的Ni),与观察到的毒性相差2倍。该模型的预测能力还使用镍尖刺的欧洲天然地表水中的幼体虹鳟鱼进行了类似的实验室毒性试验结果进行了评估。对于大多数这些水,预测的17天LC50与观察到的毒性相差不超过2倍。经过校准以考虑物种,生命阶段和/或暴露持续时间之间的敏感性差异的同一模型,能够根据采集的数据,准确预测幼虫和少年黑头fat鱼(Pimephales promelas)和幼年虹鳟的96小时LC50。文献。尽管建立的模型看起来很有希望,但是围绕碱度作用以及Ca,Mg和pH改变Ni毒性的确切机理的不确定性还需要进一步探讨。

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