Liu Yue, Chen Xiaobing, Zhao Jianchen, Jin Wenjie, Zhang Kun, Qu Jiao, Zhang Ya-Nan, Chen Guangchao, Peijnenburg Willie J G M
State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, School of Environment, Northeast Normal University, Changchun 130117, China.
Institute of Environmental Sciences, Leiden University, Leiden, the Netherlands.
Environ Sci Process Impacts. 2023 Jan 25;25(1):66-74. doi: 10.1039/d2em00396a.
Organic compounds are capable of generating hydroxyl radicals (˙OH) through their excited triplet states in natural water. It is of significance to reveal the underlying mechanism of the generation and obtain the generation quantum yield of ˙OH from organic compounds for better understanding of its involvement in indirect photochemical processes in the environment. In this study, the ˙OH quantum yields () of 20 organic compounds were determined by photochemical experiments. The calculated values for the selected organic compounds vary from (1.2 ± 0.39) × 10 to (7.2 ± 0.16) × 10. A quantitative structure-activity relationship (QSAR) model for log was developed and the established model was proven to have a proper goodness of fit, robustness, and predictive ability. The QSAR model was successfully used to predict the value of organic pollutants. Mechanistic interpretation showed that the electron distribution and the electronegativity of organic compounds are the most important factors that determine the generation of ˙OH. The results are helpful for understanding the generation mechanism of ˙OH from organic compounds and also provide insights into the generation of ˙OH from dissolved organic matter in natural water.
有机化合物能够在天然水中通过其激发三重态产生羟基自由基(˙OH)。揭示其产生的潜在机制并获得有机化合物产生˙OH的量子产率,对于更好地理解其在环境中间接光化学过程中的作用具有重要意义。在本研究中,通过光化学实验测定了20种有机化合物的˙OH量子产率()。所选有机化合物的计算值在(1.2 ± 0.39) × 10至(7.2 ± 0.16) × 10之间变化。建立了log 的定量构效关系(QSAR)模型,且所建立的模型被证明具有良好的拟合优度、稳健性和预测能力。该QSAR模型成功用于预测有机污染物的值。机理分析表明,有机化合物的电子分布和电负性是决定˙OH产生的最重要因素。这些结果有助于理解有机化合物产生˙OH的机制,也为天然水中溶解有机物产生˙OH提供了见解。