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Cited by 225

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Microplastic Exposure Assessment in Aquatic Environments: Learning from Similarities and Differences to Engineered Nanoparticles

Hüffer, Thorsten, Praetorius, Antonia, Wagner, Stephan, von der Kammer, Frank, Hofmann, Thilo·2017·Environmental Science & Technology

Abstract

Microplastics (MPs) have been identified as contaminants of emerging concern in aquatic environments and research into their behavior and fate has been sharply increasing in recent years. Nevertheless, significant gaps remain in our understanding of several crucial aspects of MP exposure and risk assessment, including the quantification of emissions, dominant fate processes, types of analytical tools required for characterization and monitoring, and adequate laboratory protocols for analysis and hazard testing. This Feature aims at identifying transferrable knowledge and experience from engineered nanoparticle (ENP) exposure assessment. This is achieved by comparing ENP and MPs based on their similarities as particulate contaminants, whereas critically discussing specific differences. We also highlight the most pressing research priorities to support an efficient development of tools and methods for MPs environmental risk assessment.

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Crossref · 10.1021/acs.est.6b04054

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Metadata

Authors
Hüffer, T., Praetorius, A., Wagner, S., von der Kammer, F., & Hofmann, T.
Venue
Environmental Science & Technology
Published
2017-02-21
Volume
51
Issue
5
Pages
2499-2507
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2580108903
Cited by
225
References
13
Type
other
Language
en
Open access
closed

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CoChat. (2026). Citation check: Microplastic Exposure Assessment in Aquatic Environments: Learning from Similarities and Differences to Engineered Nanoparticles. https://app.cochat.ai/papers/10.1021/acs.est.6b04054
The paper
Hüffer, T., Praetorius, A., Wagner, S., von der Kammer, F., & Hofmann, T. (2017). Microplastic Exposure Assessment in Aquatic Environments: Learning from Similarities and Differences to Engineered Nanoparticles. Environmental Science & Technology. https://doi.org/10.1021/acs.est.6b04054

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.