Minakata Daisuke
Department of Civil, Environmental, and Geospatial Engineering, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan 49931, United States.
Acc Chem Res. 2024 Jun 18;57(12):1658-1669. doi: 10.1021/acs.accounts.4c00021. Epub 2024 May 28.
ConspectusAqueous-phase free radicals such as reactive oxygen, halogen, and nitrogen species play important roles in the fate of organic compounds in the aqueous-phase advanced water treatment processes and natural aquatic environments under sunlight irradiation. Predicting the fate of organic compounds in aqueous-phase advanced water treatment processes and natural aquatic environments necessitates understanding the kinetics and reaction mechanisms of initial reactions of free radicals with structurally diverse organic compounds and other reactions. Researchers developed conventional predictive models based on experimentally measured transformation products and determined reaction rate constants by fitting with the time-dependent concentration profiles of species due to difficulties in their measurements of unstable intermediates. However, the empirical treatment of lumped reaction mechanisms had a model prediction limitation with respect to the specific parent compound's fate. We use and density functional theory quantum chemical computations, numerical solutions of ordinary differential equations, and validation of the outcomes of the model with experiments. Sensitivity analysis of reaction rate constants and concentration profiles enables us to identify an important elementary reaction in formating the transformation product. Such predictive elementary reaction-based kinetics models can be used to screen organic compounds in water and predict their potentially toxic transformation products for a specific experimental investigation.Over the past decade, we determined linear free energy relationships (LFERs) that bridge the kinetic and thermochemical properties of reactive oxygen species such as hydroxyl radicals (HO), peroxyl radicals (ROO), and singlet oxygen (O); reactive halogen species such as chlorine radicals (Cl) and bromine radicals (Br); reactive nitrogen species (NO); and carbonate radicals (CO). We used literature-reported experimental rate constants as kinetic information. We considered the theoretically calculated aqueous-phase free energy of activation or reaction to be a kinetic or a thermochemical property, and obtained via validated or density functional theory-based quantum chemical computations using explicit and implicit solvation models. We determined rate-determining reaction mechanisms involved in reactions by observing robust LFERs. The general accuracy of LFERs to predict aqueous-phase rate constants was within a difference of a factor of 2-5 from experimental values.We developed elementary reaction-based kinetic models and predicted the fate of acetone induced by HO in an advanced water treatment process and methionine by photochemically produced reactive intermediates in sunlit fresh waters. We provided mechanistic insight into peroxyl radical reaction mechanisms and critical roles in the degradation of acetone and the formation of transformation products. We highlighted different roles of triplet excited states of two surrogate CDOMs, O, and HO, in methionine degradation. Predicted transformation products were compared to those obtained via benchtop experiments to validate our elementary reaction-based kinetic models. Predicting the reactivities of reactive halogen and nitrogen species implicates our understanding of the formation of potentially toxic halogen- and nitrogen-containing transformation products during water treatment processes and in natural aquatic environments.
综述
在水相高级水处理过程以及阳光照射下的天然水生环境中,水相自由基如活性氧、卤素和氮物种在有机化合物的命运中起着重要作用。预测有机化合物在水相高级水处理过程和天然水生环境中的命运需要了解自由基与结构多样的有机化合物的初始反应以及其他反应的动力学和反应机制。由于难以测量不稳定的中间体,研究人员基于实验测量的转化产物开发了传统的预测模型,并通过拟合物种随时间变化的浓度曲线来确定反应速率常数。然而,对总反应机制的经验处理在预测特定母体化合物的命运方面存在模型局限性。我们使用密度泛函理论量子化学计算、常微分方程的数值解,并通过实验验证模型结果。对反应速率常数和浓度曲线进行敏感性分析,使我们能够确定形成转化产物过程中的重要基元反应。这种基于预测基元反应的动力学模型可用于筛选水中的有机化合物,并预测其潜在有毒转化产物,以进行特定的实验研究。
在过去十年中,我们确定了线性自由能关系(LFERs),这些关系将羟基自由基(HO)、过氧自由基(ROO)和单线态氧(O)等活性氧物种;氯自由基(Cl)和溴自由基(Br)等活性卤素物种;活性氮物种(NO);以及碳酸根自由基(CO)的动力学和热化学性质联系起来。我们使用文献报道的实验速率常数作为动力学信息。我们将理论计算的水相活化自由能或反应自由能视为动力学或热化学性质,并通过使用显式和隐式溶剂化模型的经过验证的量子化学计算或基于密度泛函理论获得。通过观察稳健的LFERs,我们确定了反应中涉及的速率决定反应机制。LFERs预测水相速率常数的一般准确性与实验值相差2 - 5倍。
我们开发了基于基元反应的动力学模型,并预测了高级水处理过程中HO诱导的丙酮的命运以及阳光照射下淡水中光化学产生的活性中间体对蛋氨酸的影响。我们提供了过氧自由基反应机制的机理见解以及在丙酮降解和转化产物形成中的关键作用。我们强调了两种替代溶解性有机质、O和HO的三重激发态在蛋氨酸降解中的不同作用。将预测的转化产物与通过台式实验获得的产物进行比较,以验证我们基于基元反应的动力学模型。预测活性卤素和氮物种的反应性意味着我们对水处理过程和天然水生环境中潜在有毒含卤素和含氮转化产物形成的理解。