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Updated: Jul 12, 2025

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Sampling efficiency of a polyurethane foam air sampler: Effect of temperature
Qiu-Liang Cai1,2, Cen-Yan Huang3, Lei Tong1,4
1Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Effective atmospheric monitoring of persistent organic pollutants (POPs) is crucial. This study clarifies how temperature affects POP sampling, improving data accuracy in polar regions.
Area of Science:
- Environmental Chemistry
- Atmospheric Science
- Analytical Chemistry
Background:
- Effective monitoring of persistent organic pollutants (POPs) is essential for evaluating international agreements like the Stockholm Convention.
- Sampling POPs in polar regions presents challenges due to low concentrations and temperature variations.
- The impact of temperature on the sampling efficiency of polyurethane foam discs is not well understood.
Purpose of the Study:
- To investigate the influence of temperature on the sampling efficiency of polyurethane foam discs for POPs.
- To analyze the temperature-dependent behavior of breakthrough parameters for various POPs.
- To develop a method for correcting temperature-related effects in POP monitoring data.
Main Methods:
- Utilized a flow-through sampling (FTS) column with an active pump to collect air samples at different temperatures.
- Applied frontal chromatography theory to examine breakthrough profiles and temperature-dependent behaviors of theoretical plate number (N) and breakthrough volume (VB).
- Developed an empirical linear solvation energy relationship incorporating a temperature term.
Main Results:
- Established a significant relationship between temperature dependence coefficients (KTN, KTV) and compound volatility, with values decreasing as volatility increases.
- Observed similar patterns in KTV values across polycyclic aromatic hydrocarbons (PAHs), polychlorobiphenyls (PCBs), and organochlorine pesticides (OCPs).
- Developed a binary linear correlation simplifying the estimation of breakthrough levels and an empirical model for N at various temperatures.
Conclusions:
- The study provides a method to correct for temperature-related effects and loss rates in historical POP monitoring data.
- The findings are particularly beneficial for long-term monitoring networks in polar and remote regions.
- This research enhances the reliability of POP atmospheric concentration data, crucial for environmental policy assessment.
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