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Updated: May 30, 2025

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water
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Modeling time scale of integration in equilibrium passive sampling.

Oindrila Ghosh1, Songjing Yan1, Mandar Bokare1

  • 1Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, Baltimore, MD, United States.

Environmental Toxicology and Chemistry
|January 31, 2025
PubMed
Summary
This summary is machine-generated.

Passive samplers (PSs) provide time-averaged pollutant concentrations for ecological risk assessment. This study models the sampling time scale of integration (TSI) for polychlorinated biphenyls, finding it varies with compound hydrophobicity and sampler thickness.

Keywords:
passive samplingpolychlorinated biphenylsampling time scalesensitivity to perturbation

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Area of Science:

  • Environmental Chemistry
  • Analytical Chemistry
  • Environmental Science

Background:

  • Passive samplers (PSs) measure time-averaged pollutant concentrations, crucial for ecological exposure assessment and pollutant load estimation.
  • Accurate interpretation of PS data requires a thorough understanding of the sampling time scale of integration (TSI).

Purpose of the Study:

  • To conduct a comprehensive theoretical modeling assessment of the sampling TSI for equilibrium passive samplers.
  • To model the exchange kinetics of polychlorinated biphenyl congeners in low-density polyethylene (PE) passive samplers.

Main Methods:

  • Modeling diffusive transport and first-order kinetics for polychlorinated biphenyl congeners in PE passive samplers.
  • Evaluating the sampling TSI by simulating pulsed concentration increases over a 90-day period.
  • Analyzing the impact of compound hydrophobicity and sampler thickness on TSI.

Main Results:

  • More hydrophobic compounds exhibited slower transfer rates and longer TSIs.
  • Thicker samplers demonstrated longer TSIs compared to thinner ones.
  • TSIs ranged from 14-15 days for dichlorobiphenyls to 43-45 days for hexachlorobiphenyls using a 25.4 μm PE sheet.

Conclusions:

  • The sampling TSI is influenced by both the pollutant's properties and the passive sampler's characteristics.
  • Strategic deployment of thick and thin passive samplers can refine TSI estimates.
  • This approach allows for simultaneous capture of episodic events and long-term average pollutant concentrations.