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  • Prediction of contaminant persistence in aqueous phase: a quantum chemical approach.

Prediction of contaminant persistence in aqueous phase: a quantum chemical approach.

Environmental science & technology (2011-02-22)
Jens Blotevogel, Arthur N Mayeno, Tom C Sale, Thomas Borch
ABSTRACT

At contaminated field sites where active remediation measures are not feasible, monitored natural attenuation is sometimes the only alternative for surface water or groundwater decontamination. However, due to slow degradation rates of some contaminants under natural conditions, attenuation processes and their performance assessment can take several years to decades to complete. Here, we apply quantum chemical calculations to predict contaminant persistence in the aqueous phase. For the test compound hexamethylphosphoramide (HMPA), P-N bond hydrolysis is the only thermodynamically favorable reaction that may lead to its degradation under reducing conditions. Through calculation of aqueous Gibbs free energies of activation for all potential reaction mechanisms, it is predicted that HMPA hydrolyzes via an acid-catalyzed mechanism at pH < 8.2, and an uncatalyzed mechanism at pH 8.2-8.5. The estimated half-lives of thousands to hundreds of thousands of years over the groundwater-typical pH range of 6.0 to 8.5 indicate that HMPA will be persistent in the absence of suitable oxidants. At pH 0, where the hydrolysis reaction is rapid enough to enable measurement, the experimentally determined rate constant and half-life are in excellent agreement with the predicted values. Since the quantum chemical methodology described herein can be applied to virtually any contaminant or reaction of interest, it is especially valuable for the prediction of persistence when slow reaction rates impede experimental investigations and appropriate QSARs are unavailable.

MATERIALS
Product Number
Brand
Product Description

Sigma-Aldrich
Hexamethylphosphoramide, 99%
Sigma-Aldrich
Hexamethylphosphoramide, absolute, over molecular sieve (H2O ≤0.03%), ≥98.0% (GC)