Journal
WATER RESEARCH
Volume 140, Issue -, Pages 354-363Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2018.04.062
Keywords
Quantitative structure-activity relationship; TAML; Oxidation; Aromatic organic contaminants
Funding
- Shanghai Municipal International Cooperation Foundation [15230724600]
- Special Fund for Agro-scientific Research in the Public Interest [201503107]
- NSF ERC on Nanotechnology-Enabled Water Treatment [EEC-1449500]
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Tetra-amido macrocyclic ligand (TAML) activator is a functional analog of peroxidase enzymes, which activates hydrogen peroxide (H2O2) to form high valence iron-oxo complexes that selectively degrade persistent aromatic organic contaminants (ACs) in water. Here, we develop quantitative structure-activity relationship (QSAR) models based on measured pseudo first-order kinetic rate coefficients (k(obs)) of 29 ACs (e.g., phenols and pharmaceuticals) oxidized by TAML/H2O2 at neutral and basic pH values to gain mechanistic insight on the selectivity and pH dependence of TAML/H2O2 systems. These QSAR models infer that electron donating ability (E-HOMO) is the most important AC characteristic for TAML/H2O2 oxidation, pointing to a rate-limiting single-electron transfer (SET) mechanism. Oxidation rates at pH 7 also depend on AC reactive indices such as f(min)(-) and qH(+), which respectively represent propensity for electrophilic attack and the most positive net atomic charge on hydrogen atoms. At pH 10, TAML/H2O2 is more reactive towards ACs with a lower hydrogen to carbon atoms ratio (#H:C), suggesting the significance of hydrogen atom abstraction. In addition, In k(obs) of 14 monosubstituted phenols is negatively correlated with Hammett constants (sigma) and exhibits similar sensitivity to substituent effects as horseradish peroxidase. Although accurately predicting degradation rates of specific ACs in complex wastewater matrices could be difficult, these QSAR models are statistically robust and help predict both relative degradability and reaction mechanism for TAML/H2O2-based treatment processes. (C) 2018 Elsevier Ltd. All rights reserved.
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