Peer-reviewed veterinary case report
Perfluoroalkyl chemical adsorption by granular activated carbon: Assessment of particle size impact on equilibrium parameters and associated rapid small-scale column test scaling assumptions.
- Year:
- 2025
- Authors:
- Abulikemu G et al.
- Affiliation:
- Department of Chemical and Environmental Engineering · United States
Abstract
Single-solute batch kinetic and isotherm experiments were conducted in Type 1 (18.2 MΩ·cm resistivity) water supplemented with 10 mM carbonate buffer (pH 7.75, 25 °C) for nine drinking water relevant perfluoroalkyl chemicals and three bituminous-coal based granular activated carbons (GACs). Except for perfluorooctane sulfonic acid (PFOS), mass transfer was well represented by a film diffusion model, which estimated a film diffusion coefficient (k<sub>L</sub>). For PFOS, a batch pore and surface diffusion model better represented the data and allowed estimation of both k<sub>L</sub> and a surface diffusion coefficient (D<sub>s</sub>). Adsorption was well described by the Freundlich isotherm, and for a given perfluoroalkyl chemical at equilibrium, the three GACs showed similar solid phase density (q<sub>e</sub>) for a given liquid concentration (c<sub>e</sub>). For each GAC and at c<sub>e</sub> ≤ 1000 ng/L, log q<sub>e</sub> increased linearly with perfluoroalkyl chemical carbon chain length for both perfluoroalkyl carboxylic acids (PFCAs) and perfluoroalkane sulfonic acids (PFSAs). GenX, a perfluoroalkyl ether carboxylic acid containing six carbon atoms, showed similar adsorption with the PFCA perfluorohexanoic acid. The impact of particle size (d<sub>P</sub>) on kinetic and isotherm parameters was investigated: (i) for PFOS, D<sub>s</sub> increased with increasing d<sub>P</sub>, with some overlap in confidence intervals; (ii) for PFSAs, Freundlich K<sub>f</sub> and 1/n showed decreasing and increasing trends, respectively, with increasing d<sub>P</sub>. Potential implications of the d<sub>P</sub> impact were explored with PFOS breakthrough simulations under different rapid small-scale column test conditions where carbon usage rate estimations varied by -49 % to 6 % from the baseline simulation, depending on the d<sub>P</sub> and scaling approach.
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Search related cases →Original publication: https://europepmc.org/article/MED/39700608