Biotic ligand model development predicting Zn toxicity to the alga Pseudokirchneriella subcapitata: possibilities and limitations

Heijerick, D.G.; Schamphelaere, Karel A.C. De; Janssen, Colin R.

doi:10.1016/s1532-0456(02)00077-7

Cited by 79 publications

(95 citation statements)

References 30 publications

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“…This is consistent with the studies for Ni toxicity by Lock et al (2007b) and also for some other metals (de Schamphelaere and Janssen 2002; Heijerick et al 2002b;Lock et al 2007a). However, more previous studies have observed a significant correlation between EC50 and pH at EC50 (Erickson et al 1996;Heijerick et al 2002a;Parker et al 1998;Thakali et al 2006a, b;Voigt et al 2006). Hence, incorporation of proton competition into the concept of BLM remains to be justified (Wang et al 2009).…”

Section: Variation and Prediction Of Ni Ec50mentioning

confidence: 97%

Leaching impacts Ni toxicity differently among soils but increases its predictability according to nitrification assay

Huang

et al. 2009

J Soils Sediments

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Purpose Deriving toxicity thresholds through bioassays has become the scientific basis for the risk assessment of metal contamination in soils, but few studies have been reported for Ni toxicity in Chinese soils. In addition, although leaching has been recommended to increase the ecological relevance of the output of soil toxicity bioassays, its impacts on Ni threshold and soil solutions in soils remained to be shown. Therefore, in this study, 17 soils were collected throughout China and were assessed for Ni toxicity using substrate-induced nitrification (SIN) assay for both un-leached and leached treatments. Meanwhile, soil solutions of all Ni treatments were extracted and analyzed. This study provides information for the development of a terrestrial biotic ligand model (TBLM) for Ni in Chinese soils.Materials and methods Soils were artificially amended with NiCl 2 solution to generate nominal Ni contamination levels, and aliquot of each Ni treatment was leached with artificial rain to prepare leached soil samples. All the 17 unleached and the 17 leached soils were subjected to the standard SIN protocol. A total of 816 microcosm tubes were established. Soil solution was extracted, and the solution physiochemical properties were analyzed for each Ni treatments. Both the total-Ni-based and the solution-Nibased median effective concentrations (EC50) in unleached soils and leached soils were calculated from dose-response curves. Free-Ni 2+ -based EC50 was also calculated based on solution chemical properties. Leaching effect was assessed based on these results. Results and discussion Ni EC50 varied largely among soils for both the total-Ni-based and the solution-Ni-based EC50 in un-leached soils. In un-leached soils, the total-Ni-based EC50 values ranged from 52.8 mg kg −1 (Hulunber soil) to 2,385.4 mg kg −1 (Wulumuqi soil), and the solution-Nibased EC50 ranged from 0.70 mg L −1 (Jiaxing soil) to 293.35 mg L −1 (Wulumuqi soil). Stepwise multiple regressions showed that soil pH and total Ca were the best predictors for the total-Ni-based EC50. Protective effects of Ca 2+ and Mg 2+ but not H + against Ni toxicity in soil solution were found. Leaching impacted Ni EC50 differently among soils, with leaching factor ranging from 0.2 (Haikou soil) to 19.7 (Hulunber soil) for the total-Ni-based EC50 and from 0.1 (Dezhou soil) to 35.7 (Jiaxing soil) for the solution-Ni-based EC50. In addition, predictability of Ni EC50 was higher in leached soils. The variations in Ni EC50 were in agreement with the findings in previous studies. Soil pH and Ca may play important roles in the partition of Ni in Chinese soils and thus impact the Ni toxicity. Protective effects of Ca 2+ and Mg 2+ in soil solutions against Ni toxicity may exist, but the role of H +

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Section: Variation and Prediction Of Ni Ec50mentioning

confidence: 97%

Leaching impacts Ni toxicity differently among soils but increases its predictability according to nitrification assay

Huang

et al. 2009

J Soils Sediments

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“…A number of biotic ligand models (BLMs) have been developed for copper (e.g. Santore et al, 2001;Janssen, 2002 and2004;USEPA, 2007b), nickel (Keithly et al, 2004;Hoang et al, 2004), silver (Paquin et al 1999) and zinc (Heijerick et al, 2002a;Heijerick et al, 2002b), however, there are very limited data available to develop quantitative relationships between environmental factors and toxicity, irrespective of their type, that would permit the calculation of site-specific trigger values.…”

Section: Increasing Flexibility and Providing Guidance On How To Addrmentioning

confidence: 99%

Revisions to the derivation of the Australian and New Zealand guidelines for toxicants in fresh and marine waters

Warne

Batley

Braga³

et al. 2013

Environ Sci Pollut Res

127

280

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The Australian and New Zealand Guidelines for Fresh and Marine Water Quality are a key document in the Australian National Water Quality Management Strategy. These guidelines released in 2000 are currently being reviewed and updated. The revision is being co-ordinated by the Australian Department of Sustainability, Environment, Water, Population and Communities, while technical matters are dealt with by a series of Working Groups. The revision will be evolutionary in nature reflecting the latest scientific developments and a range of stakeholder desires. Key changes will be: changing the guidelines to an electronic format; increasing the types and sources of data that can be used; working collaboratively with industry to permit the use of commercial-in-confidence data; increasing the minimum data requirements; including a measure of the uncertainty of the trigger value; improving the software used to calculate trigger values; increasing the rigour of site-specific trigger values; improving the method for assessing the reliability of the trigger values; providing guidance of measures of toxicity and toxicological endpoints that may, in the near future, be appropriate for trigger value derivation. These changes will markedly improve the number and quality of the trigger values that can be derived and will increase end-users' ability to understand and implement the Guidelines in a scientifically rigorous manner.

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“…The BLM has been successfully applied to predict metal toxicity for a variety of aquatic organisms and metals (e.g. refs [40,41]). …”

Section: Free Ion Activity Model (Fiam) and Biotic Ligand Model (Blm)mentioning

confidence: 99%

Predicting availability of mineral elements to plants with the DGT technique: a review of experimental data and interpretation by modelling

et al. 2009

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Environmental context. Total concentrations of mineral elements in soil bear little relation to their availability for plants. The DGT (diffusive gradients in thin-films) technique has been found to be a good predictor of trace metal uptake and P deficiency, though not consistently in all studies for all elements. This review examines the fundamental basis for the relation between DGT fluxes and plant uptake and assesses under which conditions this relation may break down.Abstract. In the DGT technique, elements are accumulated on a binding gel after their diffusive transport through a hydrogel. In this paper, we explore in more detail why -and under which conditions -DGT correlates with plant uptake. The theoretical considerations are illustrated with experimental results for metal uptake and toxicity, and for phosphorus deficiency. Strong correlations between DGT and plant uptake are predicted if the diffusive transport of the element from soil to the plant roots is rate-limiting for its uptake. If uptake is not limited by diffusive transport, DGT-fluxes and plant uptake may still correlate provided that plant uptake is not saturated. However, competitive cations may affect the plant uptake under these conditions, whereas they have no effect on the DGT flux. Moreover, labile complexes are not expected to contribute to the plant uptake if diffusion is not limiting, but they are measured with DGT. Therefore, if plant uptake is not limited by diffusion, interpretation of the observed correlation in terms of the labile species measured by DGT is inappropriate.

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Biotic ligand model development predicting Zn toxicity to the alga Pseudokirchneriella subcapitata: possibilities and limitations

Cited by 79 publications

References 30 publications

Leaching impacts Ni toxicity differently among soils but increases its predictability according to nitrification assay

Leaching impacts Ni toxicity differently among soils but increases its predictability according to nitrification assay

Revisions to the derivation of the Australian and New Zealand guidelines for toxicants in fresh and marine waters

Predicting availability of mineral elements to plants with the DGT technique: a review of experimental data and interpretation by modelling

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