Web-Based Data Analytics Framework for Polyurethane Foam Passive Air Sampling Rate and Effective Volume
Year: 2025
Type: article
Abstract: Polyurethane foam equipped passive air samplers are a valuable tool for monitoring atmospheric semivolatile organic pollutants, but are often complicated due to the need for an accurate sampling rate (R s ). Here, we describe the development and implementation of a web-based R s interface that allows for a user-friendly way of determining and visualizing accurate modeled R s values. The web interface provides access to the previously published model without the need for proprietary software (MATLAB) or coding experience. The precalculated R s avoids unnecessary computation time, providing the user with fast results and visualizations of the sampler behavior during deployment. Supported by the National Aeronautics and Space Administration’s Modern Era Retrospective-Analysis for Research and Applications meteorological data at both 2 and 10 m heights above ground level, users can determine R s for any location on the globe. Users can select prepopulated compounds (e.g., polychlorinated biphenyls) or manually enter compounds, enter sample information individually or upload them batch-wise, run the model, and export data to a CSV to further integrate with the data analysis workflow. Additionally, an implementation of the same model is available in R, along with scripts to process meteorological data.
Institutions: University of Iowa, Duke University, Tulane University
Language: English
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4414645525