Literature DB >> 17174394

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

Nele M E Deleebeeck1, Karel A C De Schamphelaere, Colin R Janssen.   

Abstract

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 Ca2+, Mg2+ and H+ reduced Ni toxicity, as demonstrated by increased 17-day median lethal concentrations expressed as Ni2+ 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 pNi2+ (=-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 logK(CaBL)=logK(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.

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Year:  2006        PMID: 17174394     DOI: 10.1016/j.ecoenv.2006.10.001

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  7 in total

1.  Deriving environmental quality standards in European surface waters: when are there too few data?

Authors:  G Merrington; P Van Sprang
Journal:  Environ Sci Pollut Res Int       Date:  2013-04-16       Impact factor: 4.223

2.  Assessment of the effects of nickel on benthic macroinvertebrates in the field.

Authors:  Adam Peters; Peter Simpson; Graham Merrington; Chris Schlekat; Emily Rogevich-Garman
Journal:  Environ Sci Pollut Res Int       Date:  2013-06-09       Impact factor: 4.223

3.  Cross-species extrapolation of prediction model for lead transfer from soil to corn grain under stress of exogenous lead.

Authors:  Zhaojun Li; Hua Yang; Yupeng Li; Jian Long; Yongchao Liang
Journal:  PLoS One       Date:  2014-01-08       Impact factor: 3.240

Review 4.  Validation of Bioavailability-Based Toxicity Models for Metals.

Authors:  Emily R Garman; Joseph S Meyer; Christine M Bergeron; Tamzin A Blewett; William H Clements; Michael C Elias; Kevin J Farley; Francesca Gissi; Adam C Ryan
Journal:  Environ Toxicol Chem       Date:  2020-01       Impact factor: 4.218

5.  Cross-species extrapolation of prediction models for cadmium transfer from soil to corn grain.

Authors:  Hua Yang; Zhaojun Li; Lu Lu; Jian Long; Yongchao Liang
Journal:  PLoS One       Date:  2013-12-06       Impact factor: 3.240

6.  Predictions of Cu toxicity in three aquatic species using bioavailability tools in four Swedish soft freshwaters.

Authors:  S Hoppe; M Sundbom; H Borg; M Breitholtz
Journal:  Environ Sci Eur       Date:  2015-10-12       Impact factor: 5.893

7.  Cross-Species Extrapolation of Models for Predicting Lead Transfer from Soil to Wheat Grain.

Authors:  Ke Liu; Jialong Lv; Yunchao Dai; Hong Zhang; Yingfei Cao
Journal:  PLoS One       Date:  2016-08-12       Impact factor: 3.240

  7 in total

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