4.8 Article

Quantitative structure activity relationship for the oxidation of aromatic organic contaminants in water by TAML/H2O2

Journal

WATER RESEARCH
Volume 140, Issue -, Pages 354-363

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2018.04.062

Keywords

Quantitative structure-activity relationship; TAML; Oxidation; Aromatic organic contaminants

Funding

  1. Shanghai Municipal International Cooperation Foundation [15230724600]
  2. Special Fund for Agro-scientific Research in the Public Interest [201503107]
  3. NSF ERC on Nanotechnology-Enabled Water Treatment [EEC-1449500]

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available