Molecular Connectivity Indices and Soil Properties to Predict Sorption of Per- and Polyfluoroalkyl Substances

Key Points

• The research aims to model the relationship between molecular connectivity indices and the sorption of PFAS in soil.
• Developed a modeling approach to predict log Kd for PFAS.
• Analyzed the impact of molecular connectivity indices on PFAS sorption.
• Evaluated soil properties in relation to PFAS behavior.
• Established a predictive model for log Kd values.
• Showed significant correlations between MCIs and PFAS sorption.
• Identified soil properties that influence PFAS partitioning.