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Estimating production data for five engineered nanomaterials as a basis for exposure assessment.

Christine Ogilvie Hendren1, Xavier Mesnard, Jocelyn Dröge

  • 1Department of Civil and Environmental Engineering, Duke University, P.O. Box 90287, Durham, North Carolina 27708-0287, United States.

Environmental Science & Technology
|March 12, 2011
PubMed
Summary

Estimating U.S. production of engineered nanomaterials (ENMs) is vital for environmental exposure assessments. This study provides production quantity ranges for five ENM classes, highlighting data gaps and extrapolation methods.

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Area of Science:

  • Environmental Science
  • Materials Science
  • Risk Assessment

Background:

  • The environmental release and exposure of engineered nanomaterials (ENMs) are critical factors in risk assessment.
  • Accurate production data for ENMs is currently lacking, hindering comprehensive exposure evaluations.

Purpose of the Study:

  • To estimate the annual production quantities for five major classes of ENMs within the United States.
  • To establish upper and lower bounds for ENM production volumes to inform exposure assessments.
  • To analyze the quality and availability of production data for ENM-manufacturing companies.

Main Methods:

  • Compilation of data from diverse sources to identify ENM-producing companies and their output volumes.
  • Application of refining assumptions to extrapolate production levels for companies with limited or no available data.

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  • Analysis of data completeness, indicating the percentage of companies with available versus extrapolated production figures.

    • Main Results:

    • Projected ranges for U.S. annual production quantities for five distinct classes of ENMs.
    • Quantification of data availability across surveyed companies, distinguishing between directly reported and extrapolated figures.

    Conclusions:

    • This study provides essential, albeit estimated, production data for key ENMs in the U.S.
    • The findings underscore the need for improved data collection and transparency in ENM manufacturing to refine environmental exposure assessments.