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Measuring Nanoparticle Attachment Efficiency in Complex Systems.

Nicholas K Geitner1,2, Niall J O'Brien1,3, Amalia A Turner1,2

  • 1Department of Civil and Environmental Engineering, Duke University , Durham, North Carolina 27708, United States.

Environmental Science & Technology
|October 19, 2017
PubMed
Summary
This summary is machine-generated.

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A new mixing method accurately measures nanoparticle surface affinity, crucial for environmental fate models. This validated approach accounts for organic matter and ionic strength, improving predictions of nanoparticle behavior in diverse environments.

Area of Science:

  • Environmental Science
  • Nanotechnology
  • Physical Chemistry

Background:

  • Accurate environmental fate and transport models for engineered nanoparticles require reliable measures of nanoparticle behavior.
  • Nanoparticle affinity for surfaces (α) is a key parameter, but traditional column studies have limitations.
  • Existing methods for measuring nanoparticle attachment are constrained by material and exposure scenario configurations.

Purpose of the Study:

  • To evaluate and validate a mixing method for measuring nanoparticle attachment to environmental surfaces.
  • To compare the mixing method with a static column system under varying conditions.
  • To experimentally validate the theory of nanoparticle heteroaggregation rates (αβB) in mixed systems.

Main Methods:

  • Utilized glass beads and kaolinite as model collector surfaces.

Related Experiment Videos

  • Employed a previously developed mixing method and validated it against a static column system.
  • Varied organic matter concentrations and ionic strengths to assess their impact on nanoparticle behavior.

    • Main Results:

    • The mixing method was validated against a static column system.
    • Organic matter and ionic strength individually impacted heteroaggregation rates predictably.
    • Neither organic matter nor ionic strength dominated heteroaggregation when varied together.
    • Nanoparticle heteroaggregation rate theory (αβB) was experimentally validated, showing independence of collision frequency (β) and background particle concentration (B).
    • Nanoparticle surface chemistry and collector particle composition significantly influenced nanoparticle affinity (α).

    Conclusions:

    • The developed mixing method provides a reliable means to measure nanoparticle surface affinity.
    • The findings support the independence of collision frequency and background particle concentration for fate modeling.
    • Nanoparticle behavior in environmental systems is strongly dependent on both surface chemistry and collector composition.