2 research outputs found
Sorption Mechanism and Predictive Models for Removal of Cationic Organic Contaminants by Cation Exchange Resins
Understanding the sorption mechanism
of organic contaminants on
cation exchange resins (CXRs) will enable application of these resins
for the removal of cationic organic compounds from contaminated water.
In this study, sorption of a diverse set of 12 organic cations and
8 neutral aromatic solutes on two polystyrene CXRs, MN500 and Amberlite
200, was examined. MN500 showed higher sorbed concentrations due to
its microporous structure. The sorbed concentrations followed the
same trend of aromatic cations > aliphatic cations > neutral
solutes
for both resins. Generally, solute–solvent interactions, nonpolar
moiety of the solutes, and resin matrix can affect selectivity of
the cations. Sorbed concentrations of the neutral compounds were significantly
less than those of the cations, indicating a combined effect of electrostatic
and nonelectrostatic interactions. By conducting multiple linear regression
between Gibbs free energy of sorption and Abraham descriptors for
all 20 compounds, polarity/polarizability (<i>S</i>), H-bond
acidity (<i>A</i>), induced dipole (<i>E</i>),
and electrostatic (<i>J</i><sup>+</sup>) interactions were
found to be involved in the sorption of the cations by the resins.
After converting the aqueous sorption isotherms to sorption from the
ideal gas-phase by water-wet resins, a more significant effect of <i>J</i><sup>+</sup> was observed. Predictive models were then
developed based on the linear regressions and validated by accurately
estimating the sorption of different test set compounds with a root-mean-square
error range of 0.91–1.1 and 0.76–0.85 for MN500 and
Amberlite 200, respectively. The models also accurately predicted
sorption behavior of aniline and imidazole between pH 3 and 10
Understanding and Modeling Removal of Anionic Organic Contaminants (AOCs) by Anion Exchange Resins
Ionic
organic contaminants (OCs) are a growing concern for water
treatment and the environment and are removed inefficiently by many
existing technologies. This study examined removal of anionic OCs
by anion exchange resins (AXRs) as a promising alternative. Results
indicate that two polystyrene AXRs (IRA910 and IRA96) have higher
sorption capacities and selectivity than a polyacrylate resin (A860).
For the polystyrene resins, selectivity follows: phenolates ≥
aromatic dicarboxylates > aromatic monocarboxylates > benzenesulfonate
> aliphatic carboxylates. This trend can be explained based on
hydration
energy, the number of exchange groups, and aromaticity and hydrophobicity
of the nonpolar moiety (NPM) of the anions. For A860, selectivity
only varies within a narrow range (0.13–1.64). Despite the
importance of the NPM of the anions, neutral solutes were sorbed much
less, indicating synergistic combinations of electrostatic and nonelectrostatic
interactions in the overall sorption. By conducting multiple linear
regression between Abraham’s descriptors and nature log of
selectivity, induced dipole-related interactions and electrostatic
interactions were found to be the most important interaction forces
for sorption of the anions, while solute H-bond basicity has a negative
effect. A predictive model was then developed for carboxylates and
phenolates based on the poly parameter linear free energy relationships
established for a diverse range of 16 anions and 5 neutral solutes,
and was validated by accurate prediction of sorption of five test
solutes within a wide range of equilibrium concentrations and that
of benzoate at different pH
