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用于预测含铁(氧)氢氧化物的弹药组分还原动力学的热力学双位表面反应模型。

Thermodynamic Two-Site Surface Reaction Model for Predicting Munition Constituent Reduction Kinetics with Iron (Oxyhydr)oxides.

机构信息

Department of Civil and Environmental Engineering, University of Delaware, Newark, Delaware 19716, United States.

Department of Chemical Engineering, Manhattan College, Riverdale, New York 10471, United States.

出版信息

Environ Sci Technol. 2023 Aug 22;57(33):12411-12420. doi: 10.1021/acs.est.3c02651. Epub 2023 Aug 11.

DOI:10.1021/acs.est.3c02651
PMID:37566737
Abstract

Iron (oxyhydr)oxides comprise a significant portion of the redox-active fraction of soils and are key reductants for remediation of sites contaminated with munition constituents (MCs). Previous studies of MC reduction kinetics with iron oxides have focused on the concentration of sorbed Fe(II) as a key parameter. To build a reaction kinetic model, it is necessary to predict the concentration of sorbed Fe(II) as a function of system conditions and the redox state. A thermodynamic framework is formulated that includes a generalized double-layer model that utilizes surface acidity and surface complexation reactions to predict sorbed Fe(II) concentrations that are used for fitting MC reduction kinetics. Monodentate- and bidentate Fe(II)-binding sites are used with individual oxide sorption characteristics determined through data fitting. Results with four oxides (goethite, hematite, lepidocrocite, and ferrihydrite) and four nitro compounds (NB, CN-NB, Cl-NB, and NTO) from six separate studies have shown good agreement when comparing observed and predicted surface area-normalized rate constants. While both site types are required to reproduce the experimental redox titration, only the monodentate site concentration controls the MC reaction kinetics. This model represents a significant step toward predicting the timescales of MC degradation in the subsurface.

摘要

铁(氧)氢氧化物构成了土壤中氧化还原活性部分的重要组成部分,是修复受弹药成分(MCs)污染的场地的关键还原剂。以前对铁氧化物与 MC 还原动力学的研究主要集中在吸附 Fe(II)的浓度作为关键参数。为了建立反应动力学模型,有必要预测吸附 Fe(II)的浓度作为系统条件和氧化还原状态的函数。提出了一个热力学框架,该框架包括一个广义双层模型,该模型利用表面酸度和表面络合反应来预测吸附 Fe(II)的浓度,用于拟合 MC 还原动力学。使用单齿和双齿 Fe(II)结合位点,以及通过数据拟合确定的单个氧化物吸附特性。对来自六个独立研究的四种氧化物(针铁矿、赤铁矿、纤铁矿和水铁矿)和四种硝基化合物(NB、CN-NB、Cl-NB 和 NTO)的结果表明,在比较观察到的和预测的表面积归一化速率常数时,具有很好的一致性。虽然两种类型的位点都需要重现实验氧化还原滴定,但只有单齿位点浓度控制 MC 反应动力学。该模型代表了在地下预测 MC 降解时间尺度的重要一步。

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