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Decreasing Uncertainties in Assessing Environmental Exposure, Risk, and Ecological Implications of Nanomaterials

Open access
Wiesner, Mark R., Lowry, Gregory V., Jones, Kimberly L., Hochella, Jr., Michael F., Di Giulio, Richard T., Casman, Elizabeth, Bernhardt, Emily S.·2009·Environmental Science & Technology

Abstract

Determining the fate and interactions of nanomaterials in complex environmental contexts is required to assess exposure and possible harm as well as to inform regulation. As the nanotechnology industry moves up into the rarified air of trillion dollar economics over the next several years (1), the number of simple and complex manufactured nanomaterials (NMs), and their uses, will grow tremendously. Large-scale production of engineered NMs presents the possibility that organisms and ecosystems may be exposed to new levels and qualities of substances with unknown consequences. Naturally occurring nanoscale materials are also ubiquitous in the biosphere, comprising the very building blocks of life and likely playing an important role in ecosystem

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Metadata

Authors
Wiesner, M. R., Lowry, G. V., Jones, K. L., Hochella, Jr., Di Giulio, R. T., Casman, E., & Bernhardt, E. S.
Venue
Environmental Science & Technology
Published
2009-07-29
Volume
43
Issue
17
Pages
6458-6462
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2007514298
Cited by
350
References
0
FWCI
19.78
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Decreasing Uncertainties in Assessing Environmental Exposure, Risk, and Ecological Implications of Nanomaterials. https://app.cochat.ai/papers/10.1021/es803621k
The paper
Wiesner, M. R., Lowry, G. V., Jones, K. L., Hochella, Jr., Di Giulio, R. T., Casman, E., & Bernhardt, E. S. (2009). Decreasing Uncertainties in Assessing Environmental Exposure, Risk, and Ecological Implications of Nanomaterials. Environmental Science & Technology. https://doi.org/10.1021/es803621k

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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.