Cu and Cr enhanced the effect of various carbon nanotubes on microbial communities in an aquatic environment

Wang, Fei; Yao, Jun; Liu, Haijun; Liu, Ruiping; Chen, Huilun; Yi, Zichuan; Yu, Qian; Ma, Lan; Xing, Baoshan

doi:10.1016/j.jhazmat.2015.03.032

Cited by 36 publications

(11 citation statements)

References 56 publications

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“…130 Select endpoints should account for ENMs as chemosensitizers. 119, 120, 219, 220 Also, mesocosm study designs should anticipate and plan for measuring secondary effects (e.g., rhizosphere microbial shifts that affect plants 87 and soil nutrient turnover).…”

Section: What Exposure and Design Considerations Drive Mesocosm Assesmentioning

confidence: 99%

Considerations of Environmentally Relevant Test Conditions for Improved Evaluation of Ecological Hazards of Engineered Nanomaterials

Holden

Gardea‐Torresdey

Klaessig

et al. 2016

Environ. Sci. Technol.

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199

150

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Engineered nanomaterials (ENMs) are increasingly entering the environment with uncertain consequences including potential ecological effects. Various research communities view differently whether ecotoxicological testing of ENMs should be conducted using environmentally relevant concentrations—where observing outcomes is difficult—versus higher ENM doses, where responses are observable. What exposure conditions are typically used in assessing ENM hazards to populations? What conditions are used to test ecosystem-scale hazards? What is known regarding actual ENMs in the environment, via measurements or modeling simulations? How should exposure conditions, ENM transformation, dose, and body burden be used in interpreting biological and computational findings for assessing risks? These questions were addressed in the context of this critical review. As a result, three main recommendations emerged. First, researchers should improve ecotoxicology of ENMs by choosing test endpoints, duration, and study conditions—including ENM test concentrations—that align with realistic exposure scenarios. Second, testing should proceed via tiers with iterative feedback that informs experiments at other levels of biological organization. Finally, environmental realism in ENM hazard assessments should involve greater coordination among ENM quantitative analysts, exposure modelers, and ecotoxicologists, across government, industry, and academia.

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Section: What Exposure and Design Considerations Drive Mesocosm Assesmentioning

confidence: 99%

Considerations of Environmentally Relevant Test Conditions for Improved Evaluation of Ecological Hazards of Engineered Nanomaterials

Holden

Gardea‐Torresdey

Klaessig

et al. 2016

Environ. Sci. Technol.

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199

150

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“…CNTs and C 60 are confirmed to carry heavy metals and dichlorodiphenyldichloroethylene ( p, p '-DDE) entry into the inner cell via damaging cell membranes, respectively. Except for membrane disruptions, the entry process can impair other intracellular structures (receptors, ion channels, transporters, glycoproteins) (De La Torre-Roche et al, 2012 ; Wang et al, 2015a ). The interaction toxicity of the Pb-nanotube also showed a synergistic effect, increasing over five times compared with the toxicity of single Pb (Martinez et al, 2013 ).…”

Section: Methods Of Concentration Addition and Independence Actionmentioning

confidence: 99%

Mathematical Modeling Approaches for Assessing the Joint Toxicity of Chemical Mixtures Based on Luminescent Bacteria: A Systematic Review

Wang

Bai

et al. 2020

Front. Microbiol.

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Developments in industrial applications inevitably accelerate the discharge of enormous substances into the environment, whereas multi-component mixtures commonly cause joint toxicity which is distinct from the simple sum of independent effect. Thus, ecotoxicological assessment, by luminescent bioassays has recently brought increasing attention to overcome the environmental risks. Based on the above viewpoint, this review included a brief introduction to the occurrence and characteristics of toxic bioassay based on the luminescent bacteria. In order to assess the environmental risk of mixtures, a series of models for the prediction of the joint effect of multi-component mixtures have been summarized and discussed in-depth. Among them, Quantitative Structure-Activity Relationship (QSAR) method which was widely applied in silico has been described in detail. Furthermore, the reported potential mechanisms of joint toxicity on the luminescent bacteria were also overviewed, including the Trojan-horse type mechanism, funnel hypothesis, and fishing hypothesis. The future perspectives toward the development and application of toxicity assessment based on luminescent bacteria were proposed.

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“…5): (1) ENMs effectively affect bioavailability of pollutants either positively or negatively by adsorption, complexation and degradation [46]; (2) the toxicokinetics of pollutants, including the process of uptake, biotransformation, distribution and elimination of pollutants in test organism, can be affected by ENMs by modifying the structure and function of cellular membrane, changing the metabolism pathways and altering the chemical species of pollutants [47]; and (3) ENMs influence the toxicodynamics of pollutants by interfering with the interactions of a toxicant with a biological target and its biological effects [48]. For example, ENMs may ease the entering and transport of pollutants in organisms via "Trojan horse effect" [49], because of the high surface to volume ratio [50]; Carbon nanotubes enter cells through damaging the cell membrane, which subsequently facilitated the entry of pollutants and induced a synergistic toxicity [51]; De La Torre-Roche et al [52] indicated the dissolved Ag + from silver nanoparticles (AgNPs) inhibited the activity of aquaporin and decreased the uptake of p,p′-DDE, and therefore, reducing the bioaccumulation of p,p′-DDE in test organisms.…”

Section: The Mixture Toxicity Mechanism Of Nzno Chemicalsmentioning

confidence: 99%

Mixture toxicity of zinc oxide nanoparticle and chemicals with different mode of action upon Vibrio fischeri

Fen

Xiao

et al. 2020

Environ Sci Eur

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Background: Zinc oxide nanoparticle (nZnO) and chemicals with different mode of action (MOA, i.e., narcotic and reactive) were frequently detected in the Yangtze River. Organisms are typically exposed to mixtures of nZnO and other chemicals rather than individual nZnO. Toxicity of nZnO is caused by the dissolution of Zn 2+ , which has been proved in the field of single toxicity. However, it is still unclear whether the released Zn 2+ plays a critical role in the nZnO toxicity of nZnO-chemicals mixtures. In the present study, the binary mixture toxicity of nZnO/Zn 2+ and chemicals with different MOA was investigated in acute (15 min) and chronic (12 h) toxicity test upon Vibrio fischeri (V. fischeri). The joint effects of nZnO and tested chemicals were explored. Moreover, two classic models, concentration addition (CA) and independent action (IA) were applied to predict the toxicity of mixtures. Results: The difference of toxicity unit (TU) values between the mixtures of Zn 2+-chemicals with those of nZnOchemicals was not significant (P > 0.05), not only in acute toxicity test but also in chronic toxicity test. The antagonistic or additive effects for nZnO-chemicals can be observed in most mixtures, with the TU values ranging from 0.75 to 1.77 and 0.47 to 2.45 in acute toxicity test and chronic test, respectively. We also observed that the prediction accuracy of CA and IA models was not very well in the mixtures where the difference between the toxicity ratios of the components was small (less than about 10), with the mean absolute percentage error (MAPE) values ranging from 0.14 to 0.67 for CA model and 0.17-0.51 for IA model, respectively. Conclusion: We found that the dissolved Zn 2+ mainly accounted for the nZnO toxicity in the mixtures of nZnOchemicals, and the joint effects of these mixtures were mostly antagonism and additivity. CA and IA models were unsuitable for predicting the mixture toxicity of nZnO-chemicals at their equitoxic ratios.

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Cu and Cr enhanced the effect of various carbon nanotubes on microbial communities in an aquatic environment

Cited by 36 publications

References 56 publications

Considerations of Environmentally Relevant Test Conditions for Improved Evaluation of Ecological Hazards of Engineered Nanomaterials

Considerations of Environmentally Relevant Test Conditions for Improved Evaluation of Ecological Hazards of Engineered Nanomaterials

Mathematical Modeling Approaches for Assessing the Joint Toxicity of Chemical Mixtures Based on Luminescent Bacteria: A Systematic Review

Mixture toxicity of zinc oxide nanoparticle and chemicals with different mode of action upon Vibrio fischeri

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