Literature DB >> 19303621

A single bioavailability model can accurately predict Ni toxicity to green microalgae in soft and hard surface waters.

Nele M E Deleebeeck1, Frederik De Laender, Victor A Chepurnov, Wim Vyverman, Colin R Janssen, Karel A C De Schamphelaere.   

Abstract

The major research questions addressed in this study were (i) whether green microalgae living in soft water (operationally defined water hardness<10mg CaCO(3)/L) are intrinsically more sensitive to Ni than green microalgae living in hard water (operationally defined water hardness >25mg CaCO(3)/L), and (ii) whether a single bioavailability model can be used to predict the effect of water hardness on the toxicity of Ni to green microalgae in both soft and hard water. Algal growth inhibition tests were conducted with clones of 10 different species collected in soft and hard water lakes in Sweden. Soft water algae were tested in a 'soft' and a 'moderately hard' test medium (nominal water hardness=6.25 and 16.3mg CaCO(3)/L, respectively), whereas hard water algae were tested in a 'moderately hard' and a 'hard' test medium (nominal water hardness=16.3 and 43.4 mg CaCO(3)/L, respectively). The results from the growth inhibition tests in the 'moderately hard' test medium revealed no significant sensitivity differences between the soft and the hard water algae used in this study. Increasing water hardness significantly reduced Ni toxicity to both soft and hard water algae. Because it has previously been demonstrated that Ca does not significantly protect the unicellular green alga Pseudokirchneriella subcapitata against Ni toxicity, it was assumed that the protective effect of water hardness can be ascribed to Mg alone. The logK(MgBL) (=5.5) was calculated to be identical for the soft and the hard water algae used in this study. A single bioavailability model can therefore be used to predict Ni toxicity to green microalgae in soft and hard surface waters as a function of water hardness.

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Year:  2009        PMID: 19303621     DOI: 10.1016/j.watres.2009.01.019

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  4 in total

1.  Characterization of tannery effluent wastewater by proton-induced X-ray emission (PIXE) analysis to investigate their role in water pollution.

Authors:  Lubna Shakir; Sohail Ejaz; Muhammad Ashraf; Nisar Ahmad; Aqeel Javeed
Journal:  Environ Sci Pollut Res Int       Date:  2011-08-09       Impact factor: 4.223

2.  Prediction models for transfer of arsenic from soil to corn grain (Zea mays L.).

Authors:  Hua Yang; Zhaojun Li; Jian Long; Yongchao Liang; Jianming Xue; Murray Davis; Wenxiang He
Journal:  Environ Sci Pollut Res Int       Date:  2015-11-27       Impact factor: 4.223

Review 3.  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

4.  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

  4 in total

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