Mechanisms involved in the impact of engineered nanomaterials on the joint toxicity with environmental pollutants

Liu, Yun; Nie, Yaguang; Wang, Jingjing; Wang, Juan; Wang, Xue; Chen, Shaopeng; Zhao, Guoping; Wu, Lijun; Xu, An

doi:10.1016/j.ecoenv.2018.06.079

Cited by 73 publications

(35 citation statements)

References 114 publications

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“…These pollutants are toxic and cause severe health problems in human beings and also seriously affect aquatic life. 11 Therefore proper treatment of industrial water is required before discharging into water sources. Besides the development of new techniques and materials such as ozonation, 12,13 advanced oxidation, 14,15 catalysis, 16,17 osmosis, 18,19 adsorption, 20,21 polymer hydrogels, 22 activated carbon, 23 and superabsorbents, 24 water treatment is still a hot area of research.…”

Section: Introductionmentioning

confidence: 99%

Fabrication of stable superabsorbent hydrogels for successful removal of crystal violet from waste water

et al. 2019

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Section: Introductionmentioning

confidence: 99%

Fabrication of stable superabsorbent hydrogels for successful removal of crystal violet from waste water

et al. 2019

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“…Once released into the aquatic environment, the GO would interact and co-exist with other pre-existing environmental contaminants; therefore, it is necessary to understand the impacts of combined toxicity with co-pollutants on aquatic model organisms. Nanomaterials could mitigate the toxicity of co-contaminants by adsorbing the pollutant and reducing its free concentration (and bioavailability), but if the pollutant-adsorbed nanomaterials are taken up by the organisms and the co-pollutant dissociates from the nanomaterial surface the toxicity could be enhanced [ 26 , 27 , 59 ]. Therefore, first, we evaluated the acute toxicity of bare GO and BSA@GO materials to D. magna .…”

Section: Resultsmentioning

confidence: 99%

“…Mixture or combined pollutant toxicity is an important issue in ecotoxicology and regulation of mixtures of chemicals [ 24 , 25 ]. In the environment, nanomaterials will interact with different types of co-pollutants, incurring joint toxicological effects [ 14 , 26 , 27 ]. Graphene oxide interacts with environmental pollutants (e.g., pesticides, surfactants, dyes and heavy metals) by modulating the toxicity of these toxic compounds against several biological models, including bacteria, cells, plants and fish [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of the Albumin Corona on the Toxicity of Combined Graphene Oxide and Cadmium to Daphnia magna and Integration of the Datasets into the NanoCommons Knowledge Base

et al. 2020

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In this work, we evaluated the effect of protein corona formation on graphene oxide (GO) mixture toxicity testing (i.e., co-exposure) using the Daphnia magna model and assessing acute toxicity determined as immobilisation. Cadmium (Cd2+) and bovine serum albumin (BSA) were selected as co-pollutant and protein model system, respectively. Albumin corona formation on GO dramatically increased its colloidal stability (ca. 60%) and Cd2+ adsorption capacity (ca. 4.5 times) in reconstituted water (Daphnia medium). The acute toxicity values (48 h-EC50) observed were 0.18 mg L−1 for Cd2+-only and 0.29 and 0.61 mg L−1 following co-exposure of Cd2+ with GO and BSA@GO materials, respectively, at a fixed non-toxic concentration of 1.0 mg L−1. After coronation of GO with BSA, a reduction in cadmium toxicity of 110 % and 238% was achieved when compared to bare GO and Cd2+-only, respectively. Integration of datasets associated with graphene-based materials, heavy metals and mixture toxicity is essential to enable re-use of the data and facilitate nanoinformatics approaches for design of safer nanomaterials for water quality monitoring and remediation technologies. Hence, all data from this work were annotated and integrated into the NanoCommons Knowledge Base, connecting the experimental data to nanoinformatics platforms under the FAIR data principles and making them interoperable with similar datasets.

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“…In the process of transportation and disposal, it is conceivable that NPs are able to form nanoparticle-toxin complexes due to their high surface area and large aggregates [17]; thus, there are ongoing concerns on evaluating the environmental risk for the mixtures containing NPs. Recently, the toxic effects of nZnO combined with other chemicals were investigated in few studies [18]. The joint effects of the nZnO and surfactants, for example, were investigated at equitoxic mixtures in acute toxicity test, which showed that the joint effects can be explained by the interactions between the Zn 2+ and the surfactants [19].…”

Section: Introductionmentioning

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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Mechanisms involved in the impact of engineered nanomaterials on the joint toxicity with environmental pollutants

Cited by 73 publications

References 114 publications

Fabrication of stable superabsorbent hydrogels for successful removal of crystal violet from waste water

Fabrication of stable superabsorbent hydrogels for successful removal of crystal violet from waste water

Effect of the Albumin Corona on the Toxicity of Combined Graphene Oxide and Cadmium to Daphnia magna and Integration of the Datasets into the NanoCommons Knowledge Base

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

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