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 Concept Videos

Measurement of Air Content in Concrete01:23

Measurement of Air Content in Concrete

574
Air content measurement in concrete is critical for ensuring structural integrity and durability of concrete structures, especially in environments prone to severe weather conditions. Accurate air content analysis optimizes concrete's resistance to freeze-thaw cycles and enhances its workability and strength. Several methods are standardized under ASTM guidelines to measure the air content in fresh concrete, each suitable for different concrete types and conditions.
The pressure method,...
574

You might also read

Related Articles

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

Sort by
Same author

Unified multi-task learning for hydrological processes using a shared transformer framework.

Scientific reports·2026
Same author

AI-powered nursing handoffs: Introducing and evaluating the patient report template.

Learning health systems·2026
Same author

RDW-to-Albumin Ratio as a Simple Biomarker for Early Mortality Risk After LVAD Implantation.

Medicina (Kaunas, Lithuania)·2026
Same author

Apical myocardial fibrosis burden identifies a high-risk phenotype and predicts cardiac mortality after LVAD implantation.

ESC heart failure·2026
Same author

Trends in nitrate levels in Iowa's community water systems (2000-2022): Characteristics of systems vulnerable to maximum contaminant level exceedances and future regulatory scenarios.

Journal of environmental quality·2026
Same author

Explainable Ensemble Machine Learning for Predicting Injury Severity in Agricultural Accidents.

Journal of agromedicine·2026
Same journal

Enhanced Identification of Weathered Plastics Through the Improvement of Infrared Spectral Libraries.

Environmental engineering science·2026
Same journal

Calcium Phosphate Precipitation as an Unintended Consequence of Phosphate Dosing to High-pH Water.

Environmental engineering science·2025
Same journal

Decontamination of Soil Contaminated at the Surface with <i>Bacillus anthracis</i> (Anthrax) Surrogate Spores Using Steam Vapor.

Environmental engineering science·2025
Same journal

Interfacial Interactions of Uranium and Arsenic with Microplastics: From Field Detection to Controlled Laboratory Tests.

Environmental engineering science·2023
Same journal

Biodegradable Chitosan-Based Membranes for Highly Effective Separation of Emulsified Oil/Water.

Environmental engineering science·2023
Same journal

Recovering Rare Earth Elements from Coal Mine Drainage Using Industrial Byproducts: Environmental and Economic Consequences.

Environmental engineering science·2022
See all related articles

Related Experiment Video

Updated: Jan 11, 2026

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions
08:18

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions

Published on: June 12, 2016

17.3K

Web-based Data Analytics Framework for Polyurethane Foam Passive Air Sampling Rate and Effective Volume.

Nicholas Herkert1,2, Bekir Zahit Demiray3, Ibrahim Demir2

  • 1Nicholas School of the Environment, Duke University, Durham, NC 27708.

Environmental Engineering Science
|November 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a user-friendly web interface for calculating accurate sampling rates for polyurethane foam passive air samplers (PUF-PAS). The tool simplifies atmospheric pollutant monitoring by providing accessible modeled data and visualizations.

Keywords:
Effective sampling volumePUF-PASdata analyticseffective sampling ratemodellingweb-interface

More Related Videos

Measuring Sub-23 Nanometer Real Driving Particle Number Emissions Using the Portable DownToTen Sampling System
08:59

Measuring Sub-23 Nanometer Real Driving Particle Number Emissions Using the Portable DownToTen Sampling System

Published on: May 22, 2020

5.9K
Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water
10:34

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water

Published on: August 3, 2016

10.0K

Related Experiment Videos

Last Updated: Jan 11, 2026

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions
08:18

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions

Published on: June 12, 2016

17.3K
Measuring Sub-23 Nanometer Real Driving Particle Number Emissions Using the Portable DownToTen Sampling System
08:59

Measuring Sub-23 Nanometer Real Driving Particle Number Emissions Using the Portable DownToTen Sampling System

Published on: May 22, 2020

5.9K
Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water
10:34

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water

Published on: August 3, 2016

10.0K

Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Atmospheric Science

Background:

  • Polyurethane foam passive air samplers (PUF-PAS) are crucial for monitoring semi-volatile organic pollutants.
  • Accurate determination of sampling rates (Rs) for PUF-PAS has been a significant challenge, complicating data interpretation.
  • Existing methods often require specialized software (e.g., MATLAB) and coding expertise, limiting accessibility.

Purpose of the Study:

  • To develop and implement a web-based interface for user-friendly calculation and visualization of modeled sampling rates (Rs) for PUF-PAS.
  • To provide access to a previously published Rs model without requiring proprietary software or coding skills.
  • To streamline the process of determining accurate Rs values for atmospheric pollutant monitoring.

Main Methods:

  • Development of a web interface accessible globally, utilizing NASA's MERRA meteorological data (2m and 10m AGL).
  • Integration of a previously validated sampling rate model, eliminating the need for user computation.
  • Functionality for users to select predefined compounds (e.g., PCBs) or input custom compounds, and manage sample data individually or in batches.

Main Results:

  • The web interface successfully provides accurate modeled Rs values and visualizations of sampler behavior.
  • Precalculated Rs values significantly reduce computation time, offering users rapid results.
  • The tool supports global deployment by leveraging widely available meteorological data.

Conclusions:

  • The developed web interface democratizes the use of PUF-PAS by simplifying the determination of accurate sampling rates.
  • This tool enhances the reliability and efficiency of atmospheric semi-volatile organic pollutant monitoring.
  • An accompanying R implementation and data processing scripts further support the scientific community in atmospheric research.