Sulfate Radical Oxidation of Aromatic Contaminants: A Detailed Assessment of Density Functional Theory and High-Level Quantum Chemical Methods
Sangavi Pari, Inger A. Wang, Haizhou Liu, Bryan M. Wong

TL;DR
This study compares density functional theory and high-level quantum methods to accurately predict the reaction kinetics of sulfate radical-driven oxidation of aromatic contaminants, highlighting the strengths and limitations of various computational approaches.
Contribution
It provides a comprehensive assessment of computational methods for modeling sulfate radical oxidation, emphasizing the need for high-level calculations for accurate environmental chemistry predictions.
Findings
M06-2X DFT is more accurate for HO-additions than for SO4•- reactions.
High-level coupled-cluster methods reveal limitations of common DFT functionals.
Recommendations for using high-level calculations to validate environmental reaction models.
Abstract
Advanced oxidation processes that utilize highly oxidative radicals are widely used in water reuse treatment. In recent years, the application of sulfate radical (SO) as a promising oxidant for water treatment has gained increasing attention. To understand the efficiency of SO in the degradation of organic contaminants in wastewater effluent, it is important to be able to predict the reaction kinetics of various SO-driven oxidation reactions. In this study, we utilize density functional theory (DFT) and high-level wavefunction-based methods (including computationally-intensive coupled cluster methods), to explore the activation energies and kinetic rates of SO-driven oxidation reactions on a series of benzene-derived contaminants. These high-level calculations encompassed a wide set of reactions including 110 forward/reverse reactions and 5…
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