Journal article
Web-Based Data Analytics Framework for Polyurethane Foam Passive Air Sampling Rate and Effective Volume
Environmental engineering science, Vol.42(9), pp.370-380
09/2025
DOI: 10.1177/15579018251359733
PMCID: PMC12599848
PMID: 41221120
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 (Rs). Here, we describe the development and implementation of a web-based Rs interface that allows for a user-friendly way of determining and visualizing accurate modeled Rs values. The web interface provides access to the previously published model without the need for proprietary software (MATLAB) or coding experience. The precalculated Rs 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 Rs 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.
Details
- Title: Subtitle
- Web-Based Data Analytics Framework for Polyurethane Foam Passive Air Sampling Rate and Effective Volume
- Creators
- Nicholas Herkert - University of IowaBekir Zahit Demiray - University of IowaIbrahim Demir - University of New OrleansAndres Martinez - Department of Civil and Environmental Engineering, IIHR-Hydroscience and Engineering, University of Iowa, Iowa City, IA, United StatesKeri C. Hornbuckle - Department of Civil and Environmental Engineering, IIHR-Hydroscience and Engineering, University of Iowa, Iowa City, IA, United States
- Resource Type
- Journal article
- Publication Details
- Environmental engineering science, Vol.42(9), pp.370-380
- DOI
- 10.1177/15579018251359733
- PMID
- 41221120
- PMCID
- PMC12599848
- NLM abbreviation
- Environ Eng Sci
- ISSN
- 1092-8758
- eISSN
- 1557-9018
- Publisher
- Mary Ann Liebert, Inc., publishers
- Grant note
- U.S. Department of Health
The content is solely the responsibility of the authors and does not necessarily represent the official views of the Centers for Disease Control and Prevention, the U.S. Department of Health and Human Services, or the National Institutes of Health. The authors thank Tom Harner for review and feedback on the web interface, Brian Miller for his technical and compliance support, and Alexis Slade for recording and publishing a video tutorial.
- Language
- English
- Electronic publication date
- 07/16/2025
- Date published
- 09/2025
- Academic Unit
- Electrical and Computer Engineering; Civil and Environmental Engineering; Occupational and Environmental Health; IIHR--Hydroscience and Engineering; Injury Prevention Research Center; Interdisciplinary Graduate Program in Human Toxicology
- Record Identifier
- 9984948117802771
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