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In Situ Equilibrium Polyethylene Passive Sampling of Soil Gas VOC Concentrations: Modeling, Parameter Determinations,
Philip Gschwend1, John MacFarlane1, David Jensen1
1Civil and Environmental Engineering, Massachusetts Institute of Technology (MIT), 15 Vassar Street, Cambridge, Massachusetts 02139, United States.
Environmental Science & Technology
|May 10, 2022
Summary
Low-density polyethylene (PE) sheets effectively sample soil gases for volatile organic compounds (VOCs). This method provides accurate measurements, overcoming limitations of traditional soil concentration analyses.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Geochemistry
Background:
- Volatile organic compounds (VOCs) in soil gas are critical environmental contaminants.
- Accurate quantification of VOCs in unsaturated subsurface environments is challenging.
- Traditional methods may involve complex sampling or inaccurate equilibrium models.
Purpose of the Study:
- To evaluate low-density polyethylene (PE) sheets as passive soil gas samplers for VOCs.
- To develop and validate methods for quantifying VOCs within PE material.
- To determine key chemical properties influencing PE-based VOC sampling.
Main Methods:
- Modeling and benchtop testing were employed.
- Determined PE-water (KPEw), PE-air (KPEa) partition coefficients, and PE diffusivity (Dpe).
- Benchtop batch tests with contaminated soils were conducted to compare PE-derived concentrations with traditional methods.
Main Results:
- PE-water, PE-air partition coefficients, and diffusivity values were determined and found consistent with existing data.
- Field equilibration times for VOCs using 70-100 μm PE sheets were estimated to be less than 1 day.
- PE-based soil air concentrations closely matched those derived from water and headspace gas analyses in benchtop tests.
Conclusions:
- Low-density polyethylene sheets are effective passive samplers for soil gas VOCs.
- PE-based measurements offer a reliable alternative, avoiding overestimations from traditional equilibrium partitioning models.
- This method enhances accuracy in assessing subsurface volatile organic compound contamination.

