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Partitioning between polyurethane foam and the gas phase: data compilation, uncertainty estimation and implications
1Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, CanadaM1C 1A4. frank.wania@utoronto.ca.
Environmental Science. Processes & Impacts
|April 19, 2021
Summary
Polyurethane foam (PUF) sampling of semi-volatile organic compounds (SVOCs) has uncertainties. The equilibrium partition coefficient (KPUF/G) and sampling rate (SR) introduce significant errors, impacting air concentration measurements.
Area of Science:
- Environmental Chemistry
- Analytical Chemistry
- Air Quality Monitoring
Background:
- Polyurethane foam (PUF) is widely used for sampling semi-volatile organic compounds (SVOCs) in ambient air.
- Equilibrium partition coefficients (KPUF/G) are crucial for estimating breakthrough in active air sampling (AAS) and correcting passive air sampling (PAS).
- Existing methods for determining KPUF/G introduce uncertainties that affect derived air concentration values.
Purpose of the Study:
- To compile and analyze a comprehensive dataset of measured KPUF/G values from the literature.
- To assess the inherent uncertainties associated with KPUF/G measurements and their impact on air sampling parameters.
- To provide recommendations for quantifying and reporting uncertainties in air concentration measurements obtained via PAS.
Main Methods:
- Compiled a dataset of 547 measured KPUF/G values for 281 chemicals from peer-reviewed literature.
- Compared measured log KPUF/G with predicted values to identify potential experimental biases.
- Analyzed the uncertainty propagation from KPUF/G and sampling rate (SR) to effective air volume (Vair).
Main Results:
- The uncertainty of unbiased log KPUF/G values is estimated to be at least 0.2 log units at 15 °C, and likely higher.
- Inherent uncertainties in sampling rates (SR) and breakthrough volumes for AAS are estimated to be at least 50%.
- Uncertainty in effective air volume (Vair) during PAS is significantly influenced by SR and KPUF/G uncertainties, often exceeding 50%.
Conclusions:
- The inherent uncertainties in KPUF/G and SR values limit the precision of air concentration measurements, particularly for PAS.
- Quantifying and reporting the uncertainty of air concentrations obtained by non-linear PAS is strongly recommended.
- Monte Carlo simulations may be necessary to adequately address the uncertainties in KPUF/G for target and depuration chemicals, which generally exceed 30%.
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