Bigelow Laboratory for Ocean Sciences, 60 Bigelow Dr, East Boothbay, ME, 04544, USA.
School of Environmental Studies, Cochin University of Science & Technology (CUSAT), Kochi 682022, Kerala, India.
Chemosphere. 2023 Dec;345:140203. doi: 10.1016/j.chemosphere.2023.140203. Epub 2023 Sep 19.
The degradation of pollutants by a non-radical pathway involving singlet oxygen (O) is highly relevant in advanced oxidation processes. Photosensitizers, modified photocatalysts, and activated persulfates can generate highly selective O in the medium. The selective reaction of O with organic pollutants results in the evolution of different intermediate products. While these products can be identified using mass spectrometry (MS) techniques, predicting a proper degradation mechanism in a O-based process is still challenging. Earlier studies utilized MS techniques in the identification of intermediate products and the mechanism was proposed with the support of theoretical calculations. Although some reviews have been reported on the generation of O and its environmental applications, a proper review of the degradation mechanism by O is not yet available. Hence, we reviewed the possible degradation pathways of organic contaminants in O-mediated oxidation with the support of density functional theory (DFT). The Fukui function (FF, f, f, and f), HOMO-LUMO energies, and Gibbs free energies obtained using DFT were used to identify the active site in the molecule and the degradation mechanism, respectively. Electrophilic addition, outer sphere type single electron transfer (SET), and addition to the hetero atoms are the key mechanisms involved in the degradation of organic contaminants by O. Since environmental matrices contain several contaminants, it is difficult to experiment with all contaminants to identify their intermediate products. Therefore, the DFT studies are useful for predicting the intermediate compounds during the oxidative removal of the contaminants, especially for complex composition wastewater.
污染物通过非自由基途径降解,涉及单线态氧 (O),这在高级氧化过程中非常重要。光敏剂、改性光催化剂和活化过硫酸盐可以在介质中产生高选择性的 O。O 与有机污染物的选择性反应导致不同中间产物的演变。虽然可以使用质谱 (MS) 技术来识别这些产物,但预测 O 基过程中的适当降解机制仍然具有挑战性。早期的研究利用 MS 技术来识别中间产物,并通过理论计算来提出机制。尽管已经有一些关于 O 生成及其环境应用的综述,但尚未有关于 O 降解机制的适当综述。因此,我们使用密度泛函理论 (DFT) 综述了 O 介导氧化中有机污染物的可能降解途径。使用 DFT 获得的福井函数 (FF、f、f 和 f)、HOMO-LUMO 能量和吉布斯自由能分别用于确定分子中的活性位点和降解机制。亲电加成、外球型单电子转移 (SET) 和向杂原子的加成是 O 降解有机污染物的关键机制。由于环境基质中含有多种污染物,因此很难用所有污染物进行实验以鉴定其中间产物。因此,DFT 研究对于预测污染物氧化去除过程中的中间化合物非常有用,特别是对于复杂成分的废水。