Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Computational fluid dynamic modeling of two passive samplers.

Justin Thomas1, Thomas M Holsen, Suresh Dhaniyala

  • 1Department of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, NY 13699-5710, USA.

Environmental Pollution (Barking, Essex : 1987)
|March 28, 2006
PubMed
Summary

Computational fluid dynamics modeling reveals that passive sampler performance depends on wind conditions. Accurate contaminant uptake rates require understanding complex flow interactions, not just single-point measurements.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pulsed Electric Field Ablation for Advanced Lung and Oligometastatic Disease: A Retrospective Study of 32 Consecutive Patients in a Community Hospital Setting.

Cancers·2026
Same author

FcRn function alone cannot account for elevated IgG clearance in the Lewis lung carcinoma model of cancer cachexia.

International immunopharmacology·2026
Same author

Fc gamma receptor binding modulates IgG clearance in cancer cachexia.

Frontiers in immunology·2026
Same author

Implications of Cyclophosphamide, Methotrexate, and 5-Flurouracil Chemotherapy on Hippocampal-Dependent Cognition and Gut-Microbiome.

Frontiers in microbiomes·2026
Same author

A Novel Mouse Model to Identify Antigen-Specific Immune Responses in Pancreatic Cancer Cachexia.

Cancers·2026
Same author

Tumor intrinsic properties dictate Fc receptor expression and cancer cachexia associated increase in checkpoint inhibitor clearance.

Frontiers in immunology·2026

Area of Science:

  • Environmental Science
  • Chemical Engineering
  • Atmospheric Chemistry

Background:

  • Passive samplers are crucial for monitoring gas-phase trace contaminants.
  • Understanding sampler performance under varying wind conditions is essential for accurate monitoring.
  • Polyurethane foam (PUF) is a common sorbent material in passive samplers.

Purpose of the Study:

  • To evaluate the sampling characteristics of two common passive samplers under different wind conditions.
  • To model contaminant uptake using computational fluid dynamics (CFD) and species transport models.
  • To quantify the impact of external-internal flow interactions on sampling rates.

Main Methods:

  • Utilized computational fluid dynamics (CFD) to simulate airflow within passive samplers.

Related Experiment Videos

  • Employed a species transport model to simulate contaminant uptake by polyurethane foam (PUF).
  • Characterized external-external flow interactions and quantified contaminant uptake rates.

    • Main Results:

    • Simulations revealed strong velocity gradients within the samplers, indicating single-point measurements are insufficient.
    • Calculated sampling rates for PUF in the passive samplers aligned well with those in freestream conditions at similar average velocities.
    • The modeled sampling rates showed good agreement with existing experimental data.

    Conclusions:

    • Accurate passive sampling of gas-phase contaminants necessitates understanding wind-dependent characteristics.
    • CFD modeling provides a robust method for characterizing flow dynamics and predicting sampling rates.
    • The study validates CFD as a tool for optimizing passive sampler design and application.