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Solubility-normalized combined adsorption-partitioning sorption isotherms for organic pollutants
Sybille Kleineidam1, Christoph Schüth, Peter Grathwohl
1Center for Applied Geoscience, University of Tübingen, Germany.
Sorption behavior of organic compounds in soil and carbon materials was modeled using the Polanyi-Dubinin-Manes (PDM) model. This approach unifies partitioning and pore-filling adsorption, predicting unique isotherms for similar compounds.
Area of Science:
- Environmental Chemistry
- Soil Science
- Adsorption Science
Background:
- Understanding organic compound sorption is crucial for environmental remediation and risk assessment.
- Sorption behavior varies significantly with sorbent properties like organic matter content and surface area.
Purpose of the Study:
- To investigate and model equilibrium sorption isotherms for low-polarity organic compounds across diverse sorbent types.
- To evaluate the applicability of the Polanyi-Dubinin-Manes (PDM) model and linear partitioning for different sorbent classes.
Main Methods:
- Equilibrium sorption isotherms were measured for five organic compounds (benzene, trichloroethene, dichlorobenzenes, phenanthrene).
- Sorbents were categorized into humic soil organic matter, carbon materials, and engineered microporous materials.
- The Polanyi-Dubinin-Manes (PDM) model was applied, combined with linear partitioning where appropriate.
Main Results:
- Humic soil organic matter exhibited linear sorption (partitioning), while carbon materials and microporous materials showed nonlinear isotherms.
- The PDM model accurately fitted sorption data for all compounds and sorbent classes.
- A solubility-normalized concentration successfully predicted unique sorption isotherms for similar compounds.
Conclusions:
- The PDM model, integrated with linear partitioning, provides a unified framework for predicting organic compound sorption across various environmental matrices.
- An inverse linear relationship between the distribution coefficient (Kd) and water solubility was confirmed, explaining correlations between sorption capacity and nonlinearity.
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