201. Air-water interfacial adsorption coefficients for PFAS when present as a multi-component mixture
- Author
-
John E. McCray, William A. Martin, and Jeff A. K. Silva
- Subjects
Langmuir ,Fluorocarbons ,Competitive adsorption ,Component (thermodynamics) ,Chemistry ,0207 environmental engineering ,Thermodynamics ,Water ,02 engineering and technology ,010501 environmental sciences ,01 natural sciences ,Surface tension ,Adsorption ,Environmental Chemistry ,Air water ,Surface Tension ,020701 environmental engineering ,Ternary operation ,Groundwater ,0105 earth and related environmental sciences ,Water Science and Technology ,Hydrophile - Abstract
Surface tension isotherms and calculated air-water interfacial (AWI) adsorption data are presented for solution mixtures of per- and polyfluoroalkyl substances (PFAS), specifically a series of binary and one ternary mixtures of homologous linear perfluorocarboxylic acids (PFCAs) in a simulated groundwater, and two 8-component mixtures containing both PFCAs and linear perfluoroalkane sulfonates (PFSAs). In all cases, non-ideal competitive adsorption was observed that favored the most surface-active component(s) of the solution mixture. The multi-component extended Langmuir (EL) isotherm model was observed to accurately predict the competitive adsorption observed in the binary and ternary PFCA solution mixtures. However, the predictive utility of the EL model was observed to diminish when mixtures contained both PFCAs and PFSAs, which differ in their hydrophile structure, resulting in overpredictions and underpredictions of the AWI adsorption isotherms derived from measured data depending on the specific components present in the solution mixtures. Observations indicate that the individual component adsorptive affinities for the AWI can change in response to competitive preferential adsorption as their solution concentrations increase that is not being captured by the EL model. Our results demonstrate that alternative mathematical models are needed that support concentration dependent affinity coefficients for non-similar mixtures of PFAS, such that the transport of individual target PFAS components within a larger mixture of components can be accurately predicted across a wider range of solution concentration.
- Published
- 2019