Literature DB >> 19150109

Effects of Mg(2+) and H(+) on the toxicity of Ni(2+) to the unicellular green alga Pseudokirchneriella subcapitata: model development and validation with surface waters.

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

Abstract

In this study, increasing Mg concentrations and decreasing pH were observed to decrease Ni toxicity to the green alga Pseudokirchneriella subcapitata. To investigate to what extent the original biotic ligand model (BLM) concept could explain Ni toxicity as a function of water chemistry, the protective effects of Mg(2+) and H(+) were modeled as BLM-type single-site competition effects. The model parameters representing these effects were log K(MgBL)=3.3 and log K(HBL)=6.5. The BLM was capable of predicting Ni toxicity by an error of less than a factor of 2 in most synthetic and natural waters used in this study. However, since the relationship between 72-h E(r)C50(Ni(2+)) (i.e. the 72-h E(r)C50 expressed as Ni(2+) activity) and H(+) activity was not linear over the entire tested pH range, only the 'linear part' between pH 6.45 and 7.92 was used for derivation of log K(HBL). This nonlinearity indicates that the effect of pH can probably not be attributed to H(+) competition with Ni(2+) for a single site alone. When modeling the effect of pH as a linear relation between 72-h E(r)C50(pNi(2+)) (=-log (72-h E(r)C50(Ni(2+)) corrected for the presence of Mg)) and pH, the applicability of the model was successfully extended to pH levels as low as 6.01. This type of empirical model has also been used in our previous studies on the development of a chronic Ni bioavailability model for Daphnia magna and a long-term Ni bioavailability model for rainbow trout. Finally, we could not detect a statistically significant interactive effect of pH and Mg on the toxicity of Ni(2+) to P. subcapitata and this is in line with the formulation of our empirical model.

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Year:  2009        PMID: 19150109     DOI: 10.1016/j.scitotenv.2008.11.052

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 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.  Impacts of major cations (K(+), Na (+), Ca (2+), Mg (2+)) and protons on toxicity predictions of nickel and cadmium to lettuce (Lactuca sativa L.) using exposure models.

Authors:  Yang Liu; Martina G Vijver; Willie J G M Peijnenburg
Journal:  Ecotoxicology       Date:  2014-02-09       Impact factor: 2.823

Review 4.  Effect of Metals, Metalloids and Metallic Nanoparticles on Microalgae Growth and Industrial Product Biosynthesis: A Review.

Authors:  Krystian Miazek; Waldemar Iwanek; Claire Remacle; Aurore Richel; Dorothee Goffin
Journal:  Int J Mol Sci       Date:  2015-10-09       Impact factor: 5.923

Review 5.  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

6.  Application of Bioavailability Models to Derive Chronic Guideline Values for Nickel in Freshwaters of Australia and New Zealand.

Authors:  Jenny Stauber; Lisa Golding; Adam Peters; Graham Merrington; Merrin Adams; Monique Binet; Graeme Batley; Francesca Gissi; Kitty McKnight; Emily Garman; Ellie Middleton; Jennifer Gadd; Chris Schlekat
Journal:  Environ Toxicol Chem       Date:  2020-11-17       Impact factor: 3.742

  6 in total

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