Insight into the role of binding interaction in the transformation of tetracycline and toxicity distribution

The transformation of free state organic micro-pollutants (MPs) has been widely studied; however, few studies have focused on mixed and bound states MPs, even though numerous ionizable organic MPs process a strong tendency to combine with dissolved organic matters in aquatic environments. This study systemically investigated the distribution and toxicity assessment of tetracycline (TET) transformation products in free, mixed and bound states during UV, UV/H2O2, UV/PS and CNTs/PS processes. A total of 33 major transformation products were identified by UPLC-Q-TOF-MSMS analysis, combining the double bond equivalence and aromaticity index calculations. The binding interaction would weaken the attack on the dimethylamino (-N(CH3)(2)) group and induce the direct destruction of rings A and B of TET through the analysis of 2D Kernel Density changes and density functional theory (DFT) calculations. Toxicity assessment and statistics revealed that the intermediate products with medium molecular weight (230 <= m/z <= 380) exhibited higher toxicity, which was closely related to the number of the rings in molecular structures (followed as 2 >> 3 > 1 approximate to 4). A predicted toxicity accumulation model (PTAM) was established to evaluate the overall toxicity changes during various oxidation processes. This finding provides new insight into the fate of bound MPs during various oxidation processes in the natural water matrix. (C) 2021 Published by Elsevier B.V. on behalf of Chinese Society for Environmental Sciences, Harbin Institute of Technology, Chinese Research Academy of Environmental Sciences.

Automated summary

This study systematically investigated the distribution and toxicity assessment of tetracycline (TET) transformation products in free, mixed, and bound states during various oxidation processes. Intermediate products with medium molecular weight exhibited higher toxicity, which was related to the number of rings in molecular structures. A predicted toxicity accumulation model (PTAM) was established to evaluate overall toxicity changes.