Zhou Die, Liu Huaying, Huang Yixi, Li Yingjie, Wang Nian, Wang Jin
School of Resources and Environment, Linyi University, Linyi, Shandong 276000, China; Faculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China.
Faculty of Chemical Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China.
J Hazard Mater. 2024 Oct 5;478:135538. doi: 10.1016/j.jhazmat.2024.135538. Epub 2024 Aug 15.
Selective oxidizing agent carbonate radical (CO) is an important secondary radical in radical-based advanced oxidation technology for wastewater treatment. However, the role of CO in removing ionizable organic micropollutants (OMs) under environmentally relevant conditions remains unclear. Herein we investigated CO effect on degradation kinetics of fluoxetine in UV/peroxymonosulfate (PMS) system based on a built radical model considering CO reactivity differences with its different dissociation forms. Results revealed that the model, which incorporated CO selective reactivity (with determined second-order rate constants, k, of 7.33 ×10 and 2.56 ×10 Ms for cationic and neutral fluoxetine, respectively) provided significantly more accurate predictions of fluoxetine degradation rates (k). A good linear correlation was observed between k from experiments and literatures for 24 ionizable OMs and their molecular orbital energy gaps and oxidation potentials, suggesting the possible electron transfer reaction mechanism. Cl slightly reduced the degradation rates of fluoxetine owing to rapid transformation of Cl with HCO into CO, which partially compensated for the quenching effects of Cl on HO and SO. Dissolved organic matter significantly quenched reactive radicals. The constructed kinetic model successfully predicted fluoxetine degradation rates in real waters, with CO being the dominant contributor (∼90 %) to this degradation process.
选择性氧化剂碳酸根自由基(CO)是基于自由基的高级氧化废水处理技术中的一种重要次级自由基。然而,在环境相关条件下,CO在去除可电离有机微污染物(OMs)方面的作用仍不明确。在此,我们基于一个考虑了CO与其不同解离形式反应活性差异的自由基模型,研究了CO对紫外/过一硫酸盐(PMS)体系中氟西汀降解动力学的影响。结果表明,该模型纳入了CO的选择性反应活性(阳离子型和中性氟西汀的二阶速率常数k分别为7.33×10和2.56×10 Ms),能更准确地预测氟西汀的降解速率(k)。对于24种可电离的OMs,其实验值和文献值的k与它们的分子轨道能隙和氧化电位之间存在良好的线性相关性,表明可能存在电子转移反应机制。Cl由于与HCO快速转化为CO,略微降低了氟西汀的降解速率,这部分补偿了Cl对HO和SO的猝灭作用。溶解有机物显著猝灭了活性自由基。构建的动力学模型成功预测了实际水体中氟西汀的降解速率,CO是该降解过程的主要贡献者(约90%)。