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Tier 2
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Original research — experimental, observational, or case-control study. Direct primary evidence.
Human Health Effects
Marine & Wildlife
Nanoplastics
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Review and Prospects on the Ecotoxicity of Mixtures of Nanoparticles and Hybrid Nanomaterials
Environmental Science & Technology2022
100 citations
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 60
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Fan Zhang,
Willie J.G.M. Peijnenburg,
Fan Zhang,
Fan Zhang,
Fan Zhang,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Martina G. Vijver
Zhuang Wang,
Fan Zhang,
Zhuang Wang,
Fan Zhang,
Zhuang Wang,
Zhuang Wang,
Zhuang Wang,
Zhuang Wang,
Zhuang Wang,
Willie J.G.M. Peijnenburg,
Zhuang Wang,
Zhuang Wang,
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Zhuang Wang,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Zhuang Wang,
Zhuang Wang,
Zhuang Wang,
Zhuang Wang,
Fan Zhang,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Fan Zhang,
Martina G. Vijver
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Zhuang Wang,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Zhuang Wang,
Martina G. Vijver
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Willie J.G.M. Peijnenburg,
Martina G. Vijver
Martina G. Vijver
Summary
This review examines the toxic effects of nanoparticle mixtures on a wide range of organisms, from algae and bacteria to fish and plants. Researchers found that combined exposure to multiple nanoparticles often produces different effects than exposure to individual particles, making toxicity predictions challenging. The study highlights the need for better methods to assess real-world risks from simultaneous exposure to multiple engineered nanomaterials in the environment.
The rapid development of nanomaterials (NMs) and the emergence of new multicomponent NMs will inevitably lead to simultaneous exposure of organisms to multiple engineered nanoparticles (ENPs) at varying exposure levels. Understanding the joint impacts of multiple ENPs and predicting the toxicity of mixtures of ENPs are therefore evidently of importance. We reviewed the toxicity of mixtures of ENPs to a variety of different species, covering algae, bacteria, daphnia, fish, fungi, insects, and plants. Most studies used the independent-action (IA)-based model to assess the type of joint effects. Using co-occurrence networks, it was revealed that 53% of the cases with specific joint response showed antagonistic, 25% synergistic, and 22% additive effects. The combination of nCuO and nZnO exhibited the strongest interactions in each type of joint interaction. Compared with other species, plants exposed to multiple ENPs were more likely to experience antagonistic effects. The main factors influencing the joint response type of the mixtures were (1) the chemical composition of individual components in mixtures, (2) the stability of suspensions of mixed ENPs, (3) the type and trophic level of the individual organisms tested, (4) the biological level of organization (population, communities, ecosystems), (5) the exposure concentrations and time, (6) the endpoint of toxicity, and (7) the abiotic field conditions (e.g., pH, ionic strength, natural organic matter). This knowledge is critical in developing efficient strategies for the assessment of the hazards induced by combined exposure to multiple ENPs in complex environments. In addition, this knowledge of the joint effects of multiple ENPs assists in the effective prediction of hybrid NMs.