Evaluating the concentration addition approach for describing expected toxicity of a ternary metal mixture (Ni, Cu, Cd) using metal speciation and response surface regression

Gopalapillai, Yamini; Hale, Beverley

doi:10.1071/en15124

Cited by 18 publications

(26 citation statements)

References 37 publications

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“…Mixture toxicity was assessed using both the independent action and concentration addition models. Concentrations were expressed as calculated free ion activities ( c i ) for the concentration addition model because this accounts for metal bioavailability and thus provides more realistic risk predictions for metal mixtures (Gopalapillai and Hale 2016). Predicted relative responses (PRRs) according to concentration addition and independent action were calculated for each mixture treatment as in Jonker et al (2005):

Concentration addition bold: \sum TU = \sum_{i = 1}^{n} \frac{c_{i}}{{EC}_{PRR, i}} = \sum_{i = 1}^{n} \frac{c_{i}}{{c_{b, i} \times ({PRR}^{- \frac{1}{S_{i}}} - 1)}^{\frac{1}{b_{i}}}} = 1

Independent action bold: PRR = \prod_{i = 1}^{n} {RR}_{i}

…”

Section: Methodsmentioning

confidence: 99%

Correlated Ni, Cu, and Zn Sensitivities of 8 Freshwater Algal Species and Consequences for Low‐Level Metal Mixture Effects

Fettweis

Bergen

Hansul

et al. 2021

Enviro Toxic and Chemistry

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Predicting metal sensitivities and metal mixture interactions for species within each trophic level is essential to understand the effects of metals at the ecosystem level. The present study was set up to explore the correlations of metal sensitivities among species and if these sensitivities or metal mixture interactions are related to growth or morphological traits. The toxicity of Ni, Cu, and Zn on algal growth was tested for 8 freshwater algal species when dosed singly and in combinations in phosphorus-limiting static systems. The metal sensitivities on specific growth rate (10% effect concentrations expressed as free ion activities) varied 2 to 3 orders of magnitude among species depending on metal. These sensitivities were unrelated (p > 0.05) to their specific growth rate (0.7-1.8 d -1 ) or cell volume (10 0 -10 3 m 3 cell -1 ). Species-specific differences in one or more toxicokinetic and/or toxicodynamic (TKTD) processes are likely at the basis of this variation. The logtransformed metal sensitivities positively correlated (p < 0.1) among the species in all 3 binary combinations (Ni-Cu, Ni-Zn, and Cu-Zn), suggesting that species have correlated TKTD rates for these metals. Furthermore, they would also predict stronger effects of metal mixtures on algal community biodiversity than what would be expected without a positive correlation. Low-level metal mixture effects varied similarly, largely among species and mixture interactions that were highly variable: ranging from synergistic to antagonistic relative to independent action during exponential growth, whereas mixture interactions at 10% effect shifted toward additivity/synergism relative to concentration addition at carrying capacity. Some evidence was found for stronger synergistic mixture effects in smaller species. Overall, the present study highlights the importance of incorporating more species in sensitivity distributions and accounting for mixture toxicity in risk assessment.

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Concentration addition bold: \sum TU = \sum_{i = 1}^{n} \frac{c_{i}}{{EC}_{PRR, i}} = \sum_{i = 1}^{n} \frac{c_{i}}{{c_{b, i} \times ({PRR}^{- \frac{1}{S_{i}}} - 1)}^{\frac{1}{b_{i}}}} = 1

Independent action bold: PRR = \prod_{i = 1}^{n} {RR}_{i}

…”

Section: Methodsmentioning

confidence: 99%

Correlated Ni, Cu, and Zn Sensitivities of 8 Freshwater Algal Species and Consequences for Low‐Level Metal Mixture Effects

Fettweis

Bergen

Hansul

et al. 2021

Enviro Toxic and Chemistry

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“…The chlorophyta (green alga) Pseudokirchneriella subcapitata (formerly known as Selenastrum capricornutum) has been used in standard methods developed by international agencies (such as: ASTM, APHA, OECD, ISO and USEPA) as a reliable indicator of toxicity (Janssen and Heijerick, 2003) due to its ecological relevance and higher sensitivity than invertebrates, fish and other standard test organisms to a wide range of hazardous substances, including metals (Geis et al, 2000; Rojí ckov a and Mar s alek, 1999). Thus, in the present work, Pseudokirchneriella subcapitata was selected to evaluate the toxicity of the environmental samples.…”

Section: Algae Chronic Toxicitymentioning

confidence: 99%

A multi-metal risk assessment strategy for natural freshwater ecosystems based on the additive inhibitory free metal ion concentration index

Alves

Ferreira

Soares

et al. 2017

Environmental Pollution

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Scientifically sound risk assessment strategies and derivations of environmental quality standards for metals present in freshwater environments are currently hampered by insufficient chronic toxicity data collected from natural ecosystems, as well as inadequate information on metal speciation. Thus, the aim of the present study was to evaluate the impact of freshwater containing multiple metals (Cd, Cr, Cu, Ni, Pb and Zn) on the chronic toxicity (72h) to the alga Pseudokirchneriella subcapitata and compare the observed toxicity results to the total and free metal concentration of the samples. Based on the information obtained herein, an additive inhibitory free multi-metal ion concentration index, calculated as the sum of the equivalent toxicities to the free metal ion concentration of each sample, was developed. The proposed index was well correlated to the observed chronic toxicity results, indicating that the concentration addition, when expressed as the free-ion activity, can be considered a reliable indicator for the evaluation of ecological risk assessments for natural waters containing multiple metals.

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“…This framework has allowed for the determination of noninteractive, antagonistic and synergistic effects in various metal mixture toxicity studies [8][9][10][11][12]. Numerous studies have examined the interactive effects of metal mixtures on invertebrates [11][12][13][14], fish [14,15], and higher plants [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Mixtures of Cu, Ni, and Zn act mostly noninteractively on Pseudokirchneriella subcapitata growth in natural waters

Regenmortel

Schamphelaere

2017

Enviro Toxic and Chemistry

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Freshwater biota are usually exposed to mixtures of different metals in the environment, which raises concern because risk-assessment procedures for metals are still mainly based on single-metal toxicity. Because microalgae are primary producers and therefore at the base of the food web, it is of utmost importance to understand the effects of metal mixtures on these organisms. Most studies that have investigated the combined interactive effects of mixtures on microalgae performed tests in only one specific water. The objective of the present study was to test if combined effects of mixtures to Pseudokirchneriella subcapitata were the same or different across natural waters showing diverse water-chemistry characteristics. This was done by performing experiments with ternary Cu-Ni-Zn mixtures in 3 natural waters and with binary Cu-Ni mixtures in 5 natural waters. We showed that the ternary mixture acted noninteractively on algal growth, except in one water in which the mixture acted antagonistically. We suggest that a low-cationic competition situation in the latter water could be the reason for the antagonistic interaction between the metals. On the other hand, the binary mixture acted noninteractively on algal growth in all tested waters. We showed that both the concentration addition and independent action models can serve as accurate models for toxicity of ternary Cu-Ni-Zn and binary Cu-Ni mixtures to P. subcapitata in most cases and as protective models in all cases. In addition, we developed a metal mixture bioavailability model, by combining the independent action model and the single-metal bioavailability models, that can be used to predict Cu-Ni-Zn and Cu-Ni toxicity to P. subcapitata as a function of metal concentration and water characteristics. Environ Toxicol Chem 2018;37:587-598. © 2017 SETAC.

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Evaluating the concentration addition approach for describing expected toxicity of a ternary metal mixture (Ni, Cu, Cd) using metal speciation and response surface regression

Cited by 18 publications

References 37 publications

Correlated Ni, Cu, and Zn Sensitivities of 8 Freshwater Algal Species and Consequences for Low‐Level Metal Mixture Effects

Correlated Ni, Cu, and Zn Sensitivities of 8 Freshwater Algal Species and Consequences for Low‐Level Metal Mixture Effects

A multi-metal risk assessment strategy for natural freshwater ecosystems based on the additive inhibitory free metal ion concentration index

Mixtures of Cu, Ni, and Zn act mostly noninteractively on Pseudokirchneriella subcapitata growth in natural waters

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