Characterization of radical-mediated degradation of phthalate esters in natural waters using carbon isotope fractionation
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Updated: Sep 19, 2026

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
Published on: October 21, 2016
Jia Liu1, Chi Zhang2, Liang Tang3
1School of Chemistry and Chemical Engineering, Hainan University, Haikou, 570228, China; Key Laboratory of Pollution Control Chemistry and Environmental Functional Materials for Qinghai-Tibet Plateau of the National Ethnic Affairs Commission, School of Chemistry and Environment, Southwest Minzu University, Chengdu, 610041, China.
Abstract:
Compound-specific stable isotope analysis (CSIA) has emerged as a promising tool for tracking organic pollutant transformation, current approaches predominantly limited to individual compounds in deionized water systems, overlooking critical environmental complexities. This study investigated the characteristics of natural aqueous matrices on the variability of carbon isotopic enrichment factors (εC) for dimethyl phthalate (DMP) and diethyl phthalate (DEP) degradation in UV/H2O2 (•OH-mediated) and UV/K2S2O8 (SO4⁻•-mediated) systems. First, radical-specific εC values were quantified, revealing significant differences (p<0.001) between •OH- (-2.4±0.1‰ for DMP; -1.6±0.1‰ for DEP) and SO4⁻•-mediated degradation (-1.9±0.1‰ for DMP; -1.3±0.1‰ for DEP). Mechanistic analysis through apparent kinetic isotope effects and intermediate identification demonstrated preferential irreversible C-H bond cleavage at both aromatic rings and aliphatic chains. Furthermore, competitive UV absorption in the mixed systems reduced degradation rates to 2-3 fold by reducing the radical generation rate; however, the εC values remained statistically invariant in deionized water, establishing the robustness of CSIA for mixed degradation. Finally, the εC values varied distinctly in natural seawater matrices. This variation was closely linked to indigenous dissolved organic matter (DOM), which has been verified in matched datasets, indicating that DOM acts as a critical factor driving εC variability. Since the calculation of degradation extent relies on deionized-water εC, absolute error introduced by matrix-specific εC reaches approximately 20±2.3%. Accordingly, in-situ natural water conditions should be prioritized to determine site-specific εC and achieve accurate degradation extent assessment. This work provides novel insights into evaluating the reliability of extrapolating laboratory-derived ε values to complex field conditions.
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