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

Summary

This study developed a model using molecular connectivity indices and soil physicochemical properties to predict soil-water partitioning coefficients for PFAS compounds, enabling more accurate assessment of their environmental fate. PFAS compounds are persistent co-contaminants that sorb to microplastic surfaces, so improved partitioning models directly support understanding of how plastic particles act as vectors concentrating these chemicals in soil environments.